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Data Scientist II, Alexa for Shopping Science UK
Amazon
Data Scientist II, Alexa for Shopping Science UK Job ID: Amazon Development Centre (London) Limited We are looking for a passionate, talented, and inventive Data Scientist with a strong machine learning and analytics background to build industry leading language technology powering Alexa for Shopping, an AI driven search and shopping assistant that helps customers at every step of their shopping journey. Key Job Responsibilities As a Data Scientist on our team, you will be responsible for the analysis, modeling, and optimization of AI technologies that shape the future of shopping experiences. You will play a critical role in measuring and improving multimodal conversational systems-especially those based on large language models, information retrieval, recommender systems, and knowledge graphs-to be tailored to customer needs. You will handle Amazon scale use cases with significant impact on customers' experiences and collaborate with scientists, engineers, and product partners locally and abroad. Your work will include designing experiments, analyzing results, and launching new features, products, and systems. A Day in the Life Perform hands on analysis and modeling of enormous multimodal datasets to develop insights into how to best help customers throughout their shopping journeys. Use statistical methods, machine learning, and data mining techniques to create scalable solutions for measuring and optimizing shopping assistant systems based on a rich set of structured and unstructured contextual signals. Design and analyze A/B tests and experiments to evaluate new features and model improvements, ensuring statistical rigor and actionable insights. Develop metrics, dashboards, and reporting frameworks to monitor system performance, customer engagement, and business impact. Build predictive models and conduct deep dive analyses to identify opportunities for improving customer experience, conversion, and satisfaction. Collaborate with Applied Scientists and Engineers to translate analytical insights into production systems, working closely on model evaluation and deployment. Establish automated processes for large scale data analysis, ETL pipelines, metric generation, and experimentation frameworks. Communicate results and insights to both technical and non technical audiences, including through presentations, written reports, and data visualizations. About the Team The Alexa for Shopping Science team, based in London, works alongside 150 engineers, designers, and product managers, shaping the future of AI driven shopping experiences at Amazon. The team works on every aspect of the AfS AI-from making it agentic and enabling customers to set price alerts or automatically purchase items at the right price, to understanding multimodal user queries and generating answers that combine text, image, audio, and video, including deep research reports that scour the web and the Amazon catalog to provide detailed and personalized shopping guidance. We utilize and advance state of the art techniques in NLP, generative AI, information retrieval, machine/deep learning, and data mining. We validate our work by actively participating in internal and external scientific communities. Basic Qualifications Master's degree or above in Math, Statistics, Computer Science, or related science field Experience in a ML or data scientist role with a large technology company Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance Experience with data scripting languages (e.g., SQL, Python, R) or statistical/mathematical software (e.g., R, SAS, or MATLAB) Experience effectively communicating complex concepts through written and verbal communication Preferred Qualifications Experience in defining and creating benchmarks for assessing GenAI model performance Experience with AWS services including S3, Redshift, SageMaker, EMR, Kinesis, Lambda, and EC2 Experience working on multi team, cross disciplinary projects Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
23/06/2026
Full time
Data Scientist II, Alexa for Shopping Science UK Job ID: Amazon Development Centre (London) Limited We are looking for a passionate, talented, and inventive Data Scientist with a strong machine learning and analytics background to build industry leading language technology powering Alexa for Shopping, an AI driven search and shopping assistant that helps customers at every step of their shopping journey. Key Job Responsibilities As a Data Scientist on our team, you will be responsible for the analysis, modeling, and optimization of AI technologies that shape the future of shopping experiences. You will play a critical role in measuring and improving multimodal conversational systems-especially those based on large language models, information retrieval, recommender systems, and knowledge graphs-to be tailored to customer needs. You will handle Amazon scale use cases with significant impact on customers' experiences and collaborate with scientists, engineers, and product partners locally and abroad. Your work will include designing experiments, analyzing results, and launching new features, products, and systems. A Day in the Life Perform hands on analysis and modeling of enormous multimodal datasets to develop insights into how to best help customers throughout their shopping journeys. Use statistical methods, machine learning, and data mining techniques to create scalable solutions for measuring and optimizing shopping assistant systems based on a rich set of structured and unstructured contextual signals. Design and analyze A/B tests and experiments to evaluate new features and model improvements, ensuring statistical rigor and actionable insights. Develop metrics, dashboards, and reporting frameworks to monitor system performance, customer engagement, and business impact. Build predictive models and conduct deep dive analyses to identify opportunities for improving customer experience, conversion, and satisfaction. Collaborate with Applied Scientists and Engineers to translate analytical insights into production systems, working closely on model evaluation and deployment. Establish automated processes for large scale data analysis, ETL pipelines, metric generation, and experimentation frameworks. Communicate results and insights to both technical and non technical audiences, including through presentations, written reports, and data visualizations. About the Team The Alexa for Shopping Science team, based in London, works alongside 150 engineers, designers, and product managers, shaping the future of AI driven shopping experiences at Amazon. The team works on every aspect of the AfS AI-from making it agentic and enabling customers to set price alerts or automatically purchase items at the right price, to understanding multimodal user queries and generating answers that combine text, image, audio, and video, including deep research reports that scour the web and the Amazon catalog to provide detailed and personalized shopping guidance. We utilize and advance state of the art techniques in NLP, generative AI, information retrieval, machine/deep learning, and data mining. We validate our work by actively participating in internal and external scientific communities. Basic Qualifications Master's degree or above in Math, Statistics, Computer Science, or related science field Experience in a ML or data scientist role with a large technology company Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance Experience with data scripting languages (e.g., SQL, Python, R) or statistical/mathematical software (e.g., R, SAS, or MATLAB) Experience effectively communicating complex concepts through written and verbal communication Preferred Qualifications Experience in defining and creating benchmarks for assessing GenAI model performance Experience with AWS services including S3, Redshift, SageMaker, EMR, Kinesis, Lambda, and EC2 Experience working on multi team, cross disciplinary projects Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Business Analyst
Legatics Limited
The Business Analyst is a strategic business partner to the commercial leadership team, sitting at the intersection of business and technology. You will design and build the operational infrastructure that drives predictable, scalable revenue growth, with a particular focus on data, automation and AI-enabled systems. This is a hands on, junior to mid technical role for someone who enjoys building things, connecting tools and turning messy data into clear, usable insight. You will own commercial analytics, forecasting and the core commercial systems, whilst driving data informed decision making across Sales, Marketing and Customer Success. A significant portion of the role involves working with product usage and adoption data, partnering closely with Engineering and Product to connect customer behaviour, feature adoption and platform health to commercial outcomes. You will use AI tools (Claude, coding assistants and others) to rapidly prototype, automate and deploy business processes, dashboards and lightweight internal applications. A core expectation is to champion an AI first approach: using automation and emerging tools not just to make existing processes more efficient, but to help the organisation re imagine how we work. Key Responsibilities Revenue Strategy & Insight Deliver clean, reliable data and analysis on NRR, GRR, logo retention, expansion and churn, enabling commercial leaders to turn metrics into actionable strategy. Partner with Sales, Marketing and Existing Business teams to identify growth levers, segment trends and operational bottlenecks across the customer lifecycle. Analyse cohort behaviour, product adoption and revenue drivers, surfacing leading indicators that allow teams to act proactively. Translate complex datasets into clear narratives, dashboards and recommendations for senior stakeholders and the board. Revenue Operations, Process & Systems Act as commercial data and systems owner: define data models, governance, definitions and quality standards across Salesforce and associated tools. Design scalable workflows, playbooks and operating rhythms that support continuous growth, with an emphasis on automation over manual process. Drive Salesforce excellence where needed (structure, hygiene, automation), while recognising that Salesforce is one component of a broader AI centred stack. Build and maintain executive level dashboards (e.g. in QuickSight or similar) that provide real time visibility into pipeline health, forecast accuracy and business performance. Lead cross functional initiatives to improve commercial efficiency, reduce friction and accelerate revenue velocity, using AI and lightweight applications to connect systems. AI, Automation & Internal Tools Own and evolve the commercial tech stack (Salesforce and other tools), with a growing focus on AI connectivity, automation and "glue" systems that join data and workflows together. Use AI coding assistants and Claude to build small internal applications, scripts and dashboards (for example, tools to host and serve dashboards or automate data pipelines). Prototype and deploy AI enabled workflows for the commercial teams, such as transcript analysis, SDR enablement and campaign insights. Ensure seamless data flow between commercial systems, Finance and product/usage data systems. Stakeholder Management & Enablement Operate as a trusted advisor to the COO, CCO and commercial leadership, providing pragmatic, data grounded recommendations. Work closely with leaders such as the VP,Sales, VP, Customer and VP,Marketing to understand their questions, then design data and tooling that answers them. Support onboarding and enablement of commercial team members on systems, dashboards and AI enabled ways of working. Build strong cross functional relationships, influencing without authority to drive alignment and execution across Commercial, Product, Engineering and Finance. Essential 3-5 years' experience in Business Analysis, Data/Commercial Analysis, Product Analytics, Strategy, Operations or Software Engineering, ideally with exposure to commercial or revenue facing functions. Advanced analytical skills: expert level Excel/Google Sheets and strong capability in SQL and/or a BI tool (e.g. QuickSight, Looker, Tableau, Power BI). Confident working with APIs, databases and modern data stacks (e.g. PostgreSQL, MongoDB, cloud data stores), and comfortable learning new tools quickly. Comfortable working with product usage and adoption data, collaborating with Engineering and Product to analyse behaviour and inform commercial strategy. Demonstrable experience using AI tools (e.g. Claude, GitHub Copilot or similar) to accelerate analysis, build small applications or automate workflows. Proven ability to design processes, frameworks and documentation that drive operational excellence and can be owned by business teams once implemented. Excellent stakeholder management: confident communicating with senior leadership and cross-functional teams Structured problem solver with strong attention to detail and commercial pragmatism Desirable Background as a junior or mid level software developer or data engineer who enjoys business problems more than pure software engineering. Experience with AWS QuickSight or similar cloud based BI platforms. Experience working in legal tech, professional services software or complex B2B sales environments Exposure to AI enabled tools for data analysis, automation or insight generation Strong understanding of B2B SaaS business models and key commercial metrics (NRR, GRR, CAC, LTV, pipeline dynamics) What we offer you Competitive salary (depending on experience) 25 days holiday per year (plus public holidays). Early Finish Fridays - on the last Friday of every month, we finish at lunchtime! Pension with NEST. Personal Learning & Development budget. Enhanced parental leave policies so you can spend more time with your family. Lots of opportunities for accelerated professional development and career progression. Work alongside a supportive and talented team with the opportunity to grow one of the world's leading LegalTech scale ups. A warm, genuinely collaborative culture and an awesome team; and Regular socials. Power in diversity We put users at the heart of our design to provide legal transaction experiences that everyone loves. In order to make that a reality, we seek to foster a diverse and inclusive working environment that can empower our people to be creative, effective and innovative, to build a brand we are proud of. We don't discriminate against gender, race, religion or belief, disability, age, marital status or sexual orientation. Whatever your background may be, we welcome anyone with talent, drive and emotional intelligence. We're committed to building a diverse team, and are constantly looking for ways to improve our processes to help us do that.
23/06/2026
Full time
The Business Analyst is a strategic business partner to the commercial leadership team, sitting at the intersection of business and technology. You will design and build the operational infrastructure that drives predictable, scalable revenue growth, with a particular focus on data, automation and AI-enabled systems. This is a hands on, junior to mid technical role for someone who enjoys building things, connecting tools and turning messy data into clear, usable insight. You will own commercial analytics, forecasting and the core commercial systems, whilst driving data informed decision making across Sales, Marketing and Customer Success. A significant portion of the role involves working with product usage and adoption data, partnering closely with Engineering and Product to connect customer behaviour, feature adoption and platform health to commercial outcomes. You will use AI tools (Claude, coding assistants and others) to rapidly prototype, automate and deploy business processes, dashboards and lightweight internal applications. A core expectation is to champion an AI first approach: using automation and emerging tools not just to make existing processes more efficient, but to help the organisation re imagine how we work. Key Responsibilities Revenue Strategy & Insight Deliver clean, reliable data and analysis on NRR, GRR, logo retention, expansion and churn, enabling commercial leaders to turn metrics into actionable strategy. Partner with Sales, Marketing and Existing Business teams to identify growth levers, segment trends and operational bottlenecks across the customer lifecycle. Analyse cohort behaviour, product adoption and revenue drivers, surfacing leading indicators that allow teams to act proactively. Translate complex datasets into clear narratives, dashboards and recommendations for senior stakeholders and the board. Revenue Operations, Process & Systems Act as commercial data and systems owner: define data models, governance, definitions and quality standards across Salesforce and associated tools. Design scalable workflows, playbooks and operating rhythms that support continuous growth, with an emphasis on automation over manual process. Drive Salesforce excellence where needed (structure, hygiene, automation), while recognising that Salesforce is one component of a broader AI centred stack. Build and maintain executive level dashboards (e.g. in QuickSight or similar) that provide real time visibility into pipeline health, forecast accuracy and business performance. Lead cross functional initiatives to improve commercial efficiency, reduce friction and accelerate revenue velocity, using AI and lightweight applications to connect systems. AI, Automation & Internal Tools Own and evolve the commercial tech stack (Salesforce and other tools), with a growing focus on AI connectivity, automation and "glue" systems that join data and workflows together. Use AI coding assistants and Claude to build small internal applications, scripts and dashboards (for example, tools to host and serve dashboards or automate data pipelines). Prototype and deploy AI enabled workflows for the commercial teams, such as transcript analysis, SDR enablement and campaign insights. Ensure seamless data flow between commercial systems, Finance and product/usage data systems. Stakeholder Management & Enablement Operate as a trusted advisor to the COO, CCO and commercial leadership, providing pragmatic, data grounded recommendations. Work closely with leaders such as the VP,Sales, VP, Customer and VP,Marketing to understand their questions, then design data and tooling that answers them. Support onboarding and enablement of commercial team members on systems, dashboards and AI enabled ways of working. Build strong cross functional relationships, influencing without authority to drive alignment and execution across Commercial, Product, Engineering and Finance. Essential 3-5 years' experience in Business Analysis, Data/Commercial Analysis, Product Analytics, Strategy, Operations or Software Engineering, ideally with exposure to commercial or revenue facing functions. Advanced analytical skills: expert level Excel/Google Sheets and strong capability in SQL and/or a BI tool (e.g. QuickSight, Looker, Tableau, Power BI). Confident working with APIs, databases and modern data stacks (e.g. PostgreSQL, MongoDB, cloud data stores), and comfortable learning new tools quickly. Comfortable working with product usage and adoption data, collaborating with Engineering and Product to analyse behaviour and inform commercial strategy. Demonstrable experience using AI tools (e.g. Claude, GitHub Copilot or similar) to accelerate analysis, build small applications or automate workflows. Proven ability to design processes, frameworks and documentation that drive operational excellence and can be owned by business teams once implemented. Excellent stakeholder management: confident communicating with senior leadership and cross-functional teams Structured problem solver with strong attention to detail and commercial pragmatism Desirable Background as a junior or mid level software developer or data engineer who enjoys business problems more than pure software engineering. Experience with AWS QuickSight or similar cloud based BI platforms. Experience working in legal tech, professional services software or complex B2B sales environments Exposure to AI enabled tools for data analysis, automation or insight generation Strong understanding of B2B SaaS business models and key commercial metrics (NRR, GRR, CAC, LTV, pipeline dynamics) What we offer you Competitive salary (depending on experience) 25 days holiday per year (plus public holidays). Early Finish Fridays - on the last Friday of every month, we finish at lunchtime! Pension with NEST. Personal Learning & Development budget. Enhanced parental leave policies so you can spend more time with your family. Lots of opportunities for accelerated professional development and career progression. Work alongside a supportive and talented team with the opportunity to grow one of the world's leading LegalTech scale ups. A warm, genuinely collaborative culture and an awesome team; and Regular socials. Power in diversity We put users at the heart of our design to provide legal transaction experiences that everyone loves. In order to make that a reality, we seek to foster a diverse and inclusive working environment that can empower our people to be creative, effective and innovative, to build a brand we are proud of. We don't discriminate against gender, race, religion or belief, disability, age, marital status or sexual orientation. Whatever your background may be, we welcome anyone with talent, drive and emotional intelligence. We're committed to building a diverse team, and are constantly looking for ways to improve our processes to help us do that.
Diabetes Technology Facilitator
NHS Swindon, Wiltshire
Diabetes Technology Facilitator Go back Great Western Hospitals NHS Foundation Trust The closing date is 23 June 2026 An exciting opportunity has become available in our Diabetes Nursing Team. As a key member of the Adult Diabetes Service, you will provide technical support and education to people with diabetes (PWD) using all forms of diabetes technology. The role is key to increasing digital access for all our patients and rolling out hybrid closed loop technology. This post holder will support the Diabetes Specialist Nursing (DSN) to implement Hybrid Closed Loop insulin pump systems within the adult service with an aim to reducing health inequalities and improving health outcomes. Experience of Diabetes Technology initiation including HCL systems is desirable for this role. Main duties of the job Support the DSNs with insulin pump training for PWD starting pumps, upgrading their system and initiating hybrid closed loop systems. Demonstrate and support the setup of glucose monitoring systems, associated readers, smartphone apps and online platforms as needed. Facilitate or supervise the insertion of sensors / sub cutaneous cannulas via sterile procedure. Support the PWD to download and synchronise devices for sharing clinical information. Support diabetes HCL clinics to ensure PWD attending have successfully shared clinical data prior to review. Provide support with problems with diabetes technology via telephone, email, video call or face to face. Within competency, recognise abnormalities in data uploaded from insulin pumps and escalade to registered nurse for management. Coordinate the HCL pathway, working closely with the Diabetes Nurse team administrator, including booking of group sessions and ordering of appropriate equipment via SBS system prior to HCL initiation sessions if needed. Work closely with external insulin pump company representatives to facilitate education sessions. Participate in clinical discussions/meetings regarding patients' care and work collaboratively with a range of professionals in statutory and non statutory organisations and agencies. Job responsibilities Maintain high standards of care ensuring that all procedures and guidelines are followed. Following training and assessment of competence undertake practical clinical tasks as designated by the DSNs. Contribute to insulin pump starts by ensuring the PWD is familiar with the technological aspects of their device. Working with the diabetes nurse team administrator, contribute to processes prior to pump start to ensure all necessary equipment is available on the day of pump initiation. Support downloading of necessary apps/software and provide ongoing support and follow up post pump start to ensure connectivity. Understand menu options for each device to support PWD to use the necessary features. Support download of devices during HCL clinics if required. Support PWD to continue using diabetes tech during hospital admissions in the inpatient setting. Perform physical tasks such as blood glucose and ketone monitoring and interpret readings. Be competent to take venous blood specimens for annual review blood tests if required. Support DSN led education sessions. Deal directly with queries from patients and other health care professionals and refer to appropriate diabetes team member where necessary. Demonstrate motivational and reassuring communication skills to support patients through significant changes in their diabetes treatment, recognising that such transitions can trigger challenging behaviours, frustration, and heightened anxiety. Demonstrate a caring approach to PWD. Have good verbal and non verbal communication skills. Acts as an advocate for PWD at all times. Recognise and maintain confidentiality of information in all communication including online media relating to patients/clients and their records. Qualifications Foundation Degree in Health and Social Care (Assistant Practitioners) Nursing Associate Foundation Degree (including registered on NMC Register - Nursing Associates) Venepuncture and cannulation competency Blood glucose and ketone testing competency Experience & Skills Exposure to a variety of clinical settings Experience of working with PWD in clinical settings Experience of working within an MDT Strong IT skills, including Microsoft office packages, specifically EXCEL Comprehensive understanding of app based technology Experience of diabetes technology initiation including HCL systems Experience in using Oracle SBS IT package Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions. Great Western Hospitals NHS Foundation Trust
23/06/2026
Full time
Diabetes Technology Facilitator Go back Great Western Hospitals NHS Foundation Trust The closing date is 23 June 2026 An exciting opportunity has become available in our Diabetes Nursing Team. As a key member of the Adult Diabetes Service, you will provide technical support and education to people with diabetes (PWD) using all forms of diabetes technology. The role is key to increasing digital access for all our patients and rolling out hybrid closed loop technology. This post holder will support the Diabetes Specialist Nursing (DSN) to implement Hybrid Closed Loop insulin pump systems within the adult service with an aim to reducing health inequalities and improving health outcomes. Experience of Diabetes Technology initiation including HCL systems is desirable for this role. Main duties of the job Support the DSNs with insulin pump training for PWD starting pumps, upgrading their system and initiating hybrid closed loop systems. Demonstrate and support the setup of glucose monitoring systems, associated readers, smartphone apps and online platforms as needed. Facilitate or supervise the insertion of sensors / sub cutaneous cannulas via sterile procedure. Support the PWD to download and synchronise devices for sharing clinical information. Support diabetes HCL clinics to ensure PWD attending have successfully shared clinical data prior to review. Provide support with problems with diabetes technology via telephone, email, video call or face to face. Within competency, recognise abnormalities in data uploaded from insulin pumps and escalade to registered nurse for management. Coordinate the HCL pathway, working closely with the Diabetes Nurse team administrator, including booking of group sessions and ordering of appropriate equipment via SBS system prior to HCL initiation sessions if needed. Work closely with external insulin pump company representatives to facilitate education sessions. Participate in clinical discussions/meetings regarding patients' care and work collaboratively with a range of professionals in statutory and non statutory organisations and agencies. Job responsibilities Maintain high standards of care ensuring that all procedures and guidelines are followed. Following training and assessment of competence undertake practical clinical tasks as designated by the DSNs. Contribute to insulin pump starts by ensuring the PWD is familiar with the technological aspects of their device. Working with the diabetes nurse team administrator, contribute to processes prior to pump start to ensure all necessary equipment is available on the day of pump initiation. Support downloading of necessary apps/software and provide ongoing support and follow up post pump start to ensure connectivity. Understand menu options for each device to support PWD to use the necessary features. Support download of devices during HCL clinics if required. Support PWD to continue using diabetes tech during hospital admissions in the inpatient setting. Perform physical tasks such as blood glucose and ketone monitoring and interpret readings. Be competent to take venous blood specimens for annual review blood tests if required. Support DSN led education sessions. Deal directly with queries from patients and other health care professionals and refer to appropriate diabetes team member where necessary. Demonstrate motivational and reassuring communication skills to support patients through significant changes in their diabetes treatment, recognising that such transitions can trigger challenging behaviours, frustration, and heightened anxiety. Demonstrate a caring approach to PWD. Have good verbal and non verbal communication skills. Acts as an advocate for PWD at all times. Recognise and maintain confidentiality of information in all communication including online media relating to patients/clients and their records. Qualifications Foundation Degree in Health and Social Care (Assistant Practitioners) Nursing Associate Foundation Degree (including registered on NMC Register - Nursing Associates) Venepuncture and cannulation competency Blood glucose and ketone testing competency Experience & Skills Exposure to a variety of clinical settings Experience of working with PWD in clinical settings Experience of working within an MDT Strong IT skills, including Microsoft office packages, specifically EXCEL Comprehensive understanding of app based technology Experience of diabetes technology initiation including HCL systems Experience in using Oracle SBS IT package Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions. Great Western Hospitals NHS Foundation Trust
Operational Technology / Project Management Professionals (OT/SCADA PLC).
Sweco UK Ltd
About the role Become part of our society. Do you have an interest in using data and technology to drive improvements for our Critical National Infrastructure (CNI)? Instrumentation, Control and Automation are at the heart of this matter. Sweco's Operational Technology team are growing to meet the increasing demand in this sector, and we are looking for talented individuals from all industries to join us. From bigger picture climate adaptation, sustainability, Water, Electricity, Gas and digitalisation challenges to everyday systems thinking, adaptive planning and smart engineering. For this challenging and rewarding work we are looking for to join us in our 'Thinking in the Whole' approach to solving the key problems facing CNI utilities today and to prepare them for the future. To take on these challenges we're looking for Control and Automation specialists at all levels with a passion and aptitude for this type of work, who are wanting to take their career to the next level and move into the world of consultancy. What we offer A chance to work alongside UK leaders in CNI Operational Technology. To contribute to vital CNI projects. Opportunities for professional development. A collaborative environment where your fresh perspectives can lead to breakthrough solutions. Opportunities to learn our award winning techniques and methods. What we're looking for Roles at all levels, preferably with water or energy experience (but not essential), including the following; Operational Technology Technical Lead SCADA Field Engineers ICA Engineers Project Co ordinators (OT) Assistant Project Managers (OT) Project Managers (OT) Telemetry Engineers Configuration Engineers Team Managers Individuals with a passion for innovation and sustainability. Professionals eager to apply and develop their skills in the Delivery of Instrumentation Control and Automation (ICA) activities, including PLC, HMI, SCADA, Telemetry, IoT, ML/AI, Edge analytics and control technologies, Cyber Security and Data Networks. Individuals who are problem solvers, eager to learn and adapt to the challenges faced in Water, Electricity and Gas industries. Team players who can collaborate with diverse groups to achieve common goals. You'll be working for a top engineering consultancy experiencing an inclusive, friendly and flexible working environment where colleagues are encouraged to grow and develop. Sweco have accredited training schemes with several professional bodies as part of our Training Academy. If you want to make a meaningful contribution to society, if you are motivated to grow, and if you want to join a business with genuine opportunities for career progression, then we'd love to hear from you. Let's transform society together at Sweco! No agencies please. Employee Benefits Flexible and hybrid working (Flexworks Policy) Competitive pension contribution Life Assurance Private Medical Insurance Discretionary Annual Bonus Scheme Payment of two relevant professional subscriptions 25 days holiday plus bank holidays (with the option to purchase up to 5 additional days per year) Cycle2Work Scheme Employee Assistance Programme (wellbeing, mental health, financial and work advice) Employee discounts via Sweco Benefit Select (Faircare) Salary Sacrifice Electric Vehicle Scheme We plant a tree for all new starters! About Us Transforming society together, we're planning and designing sustainable communities and cities of the future. Solving the great societal challenges of our time is more relevant, demanding and inspiring than ever before. At Sweco, we bring together experts with different perspectives and skills to develop solutions that address the challenges of urbanisation, harness the positive power of digitalisation and make societies more sustainable. We offer our clients a combination of global expertise and local presence, adapted to their business and reality. Our ambition is to be our clients' most relevant partner, working together to help them solve their challenges, today and into the future. Sweco is committed to enabling all its colleagues to achieve a great balance between work and their other priorities, such as caring responsibilities, leisure activities, further learning or other interests. We offer flexible start and finish times, part time and hybrid working options so that you can flex your hours around your day to day needs. Equality, Diversity & Inclusion It's important to us that all our colleagues thrive at work - we strive to have a friendly and inclusive culture which respects the contribution individuals can bring to Sweco. We aim to promote equality, inclusivity and diversity for everyone. Here at Sweco we positively encourage applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, pregnancy or maternity/paternity. We have signed the Armed Forces Covenant to ensure those who serve or have served, and their families, are treated fairly. To find out more The Armed Forces Covenant - Our Commitments Sweco UK. We are an accredited Real Living Wage Employer which reflects our commitment to fair pay and support for all colleagues. We are also proud to be a Disability Confident Committed employer, and will interview applicants covered by the Equality Act 2010 that opt into the guaranteed interview scheme on the application form and meet the minimum criteria for the role. If I have a disability, can I get help (e.g. "reasonable adjustments") with the application process? If you're an applicant with a disability that requires a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to use the online application system and need an alternative method for applying, please contact for assistance. In order to address your request the following information is needed: Name The best method for contacting you (Phone or email) The position title Requisition/vacancy number Upon receipt of this information, we'll respond to you promptly to obtain more information about your request. Application Policy Please note: we reserve the right to close vacancies before the advertised closing date. Join Our Talent Community Our Talent Community for experienced professionals is a great way to keep up to date with our latest news, insights, future vacancies, as well as gaining access to exclusive events hosted by our experts. To learn more Join Our Talent Community - Sweco United Kingdom.
23/06/2026
Full time
About the role Become part of our society. Do you have an interest in using data and technology to drive improvements for our Critical National Infrastructure (CNI)? Instrumentation, Control and Automation are at the heart of this matter. Sweco's Operational Technology team are growing to meet the increasing demand in this sector, and we are looking for talented individuals from all industries to join us. From bigger picture climate adaptation, sustainability, Water, Electricity, Gas and digitalisation challenges to everyday systems thinking, adaptive planning and smart engineering. For this challenging and rewarding work we are looking for to join us in our 'Thinking in the Whole' approach to solving the key problems facing CNI utilities today and to prepare them for the future. To take on these challenges we're looking for Control and Automation specialists at all levels with a passion and aptitude for this type of work, who are wanting to take their career to the next level and move into the world of consultancy. What we offer A chance to work alongside UK leaders in CNI Operational Technology. To contribute to vital CNI projects. Opportunities for professional development. A collaborative environment where your fresh perspectives can lead to breakthrough solutions. Opportunities to learn our award winning techniques and methods. What we're looking for Roles at all levels, preferably with water or energy experience (but not essential), including the following; Operational Technology Technical Lead SCADA Field Engineers ICA Engineers Project Co ordinators (OT) Assistant Project Managers (OT) Project Managers (OT) Telemetry Engineers Configuration Engineers Team Managers Individuals with a passion for innovation and sustainability. Professionals eager to apply and develop their skills in the Delivery of Instrumentation Control and Automation (ICA) activities, including PLC, HMI, SCADA, Telemetry, IoT, ML/AI, Edge analytics and control technologies, Cyber Security and Data Networks. Individuals who are problem solvers, eager to learn and adapt to the challenges faced in Water, Electricity and Gas industries. Team players who can collaborate with diverse groups to achieve common goals. You'll be working for a top engineering consultancy experiencing an inclusive, friendly and flexible working environment where colleagues are encouraged to grow and develop. Sweco have accredited training schemes with several professional bodies as part of our Training Academy. If you want to make a meaningful contribution to society, if you are motivated to grow, and if you want to join a business with genuine opportunities for career progression, then we'd love to hear from you. Let's transform society together at Sweco! No agencies please. Employee Benefits Flexible and hybrid working (Flexworks Policy) Competitive pension contribution Life Assurance Private Medical Insurance Discretionary Annual Bonus Scheme Payment of two relevant professional subscriptions 25 days holiday plus bank holidays (with the option to purchase up to 5 additional days per year) Cycle2Work Scheme Employee Assistance Programme (wellbeing, mental health, financial and work advice) Employee discounts via Sweco Benefit Select (Faircare) Salary Sacrifice Electric Vehicle Scheme We plant a tree for all new starters! About Us Transforming society together, we're planning and designing sustainable communities and cities of the future. Solving the great societal challenges of our time is more relevant, demanding and inspiring than ever before. At Sweco, we bring together experts with different perspectives and skills to develop solutions that address the challenges of urbanisation, harness the positive power of digitalisation and make societies more sustainable. We offer our clients a combination of global expertise and local presence, adapted to their business and reality. Our ambition is to be our clients' most relevant partner, working together to help them solve their challenges, today and into the future. Sweco is committed to enabling all its colleagues to achieve a great balance between work and their other priorities, such as caring responsibilities, leisure activities, further learning or other interests. We offer flexible start and finish times, part time and hybrid working options so that you can flex your hours around your day to day needs. Equality, Diversity & Inclusion It's important to us that all our colleagues thrive at work - we strive to have a friendly and inclusive culture which respects the contribution individuals can bring to Sweco. We aim to promote equality, inclusivity and diversity for everyone. Here at Sweco we positively encourage applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, pregnancy or maternity/paternity. We have signed the Armed Forces Covenant to ensure those who serve or have served, and their families, are treated fairly. To find out more The Armed Forces Covenant - Our Commitments Sweco UK. We are an accredited Real Living Wage Employer which reflects our commitment to fair pay and support for all colleagues. We are also proud to be a Disability Confident Committed employer, and will interview applicants covered by the Equality Act 2010 that opt into the guaranteed interview scheme on the application form and meet the minimum criteria for the role. If I have a disability, can I get help (e.g. "reasonable adjustments") with the application process? If you're an applicant with a disability that requires a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to use the online application system and need an alternative method for applying, please contact for assistance. In order to address your request the following information is needed: Name The best method for contacting you (Phone or email) The position title Requisition/vacancy number Upon receipt of this information, we'll respond to you promptly to obtain more information about your request. Application Policy Please note: we reserve the right to close vacancies before the advertised closing date. Join Our Talent Community Our Talent Community for experienced professionals is a great way to keep up to date with our latest news, insights, future vacancies, as well as gaining access to exclusive events hosted by our experts. To learn more Join Our Talent Community - Sweco United Kingdom.
Senior Governance Administrator
NHS
Go back Moorfields Eye Hospital NHS Foundation Trust Senior Governance Administrator The closing date is 01 July 2026 The senior governance administrator will play a key role within the corporate governance team, supporting the effective operation of the trust's governance framework. Reporting to the deputy company secretary, the postholder will provide high-quality administrative and committee secretariat support, with a particular focus on the Membership Council and its committees. This is a fast-paced and highly visible role requiring strong organisational skills, attention to detail, and the ability to work with senior stakeholders including board members, governors and executive leaders. The successful candidate will help ensure governance processes are well-coordinated, compliant, transparent and effective. This is an excellent opportunity for someone who is proactive, organised and committed to high standards of governance to contribute to the smooth running of statutory and non-statutory processes in a complex NHS organisation. Main duties of the job The senior governance administrator will provide high-quality administrative and secretariat support to corporate governance functions, ensuring meetings and processes are organised, accurate and compliant. Key duties include coordinating governance meetings such as the Membership Council and committees, including scheduling, agenda planning, organising logistics, and collating and distributing papers. The postholder will attend meetings, produce clear and timely minutes, and maintain action logs to track decisions and follow-up actions. The role will work closely with senior governance colleagues and committee chairs to support forward planning, governance calendars and reporting, including preparing committee reports to the Board. The postholder will support governors and the Membership Council by acting as a main point of contact, maintain records, support induction and development, and assist with meetings, events and elections. Responsibilities will also include maintaining governance records and registers, managing correspondence, supporting publication of information, and ensuring compliance with governance frameworks. The role will contribute to audits, reviews and assurance processes, and provide wider administrative support to the governance team. Strong organisational skills, attention to detail, effective communication and the ability to manage competing priorities and sensitive information are essential. About us What's in it for You? At Moorfields, we invest in you your growth, your wellbeing, your future. You'll join a flexible, supportive organisation offering: Competitive salary (including high-cost area supplement) Membership of the NHS Pension Scheme 24/7 independent counselling support Career-long learning and development opportunities Excellent transport connections Access to NHS and Blue Light discount schemes Free Pilates classes Full support and training to develop your skills And so much more! To see the full range of benefits we offer please view our Moorfields benefits leaflet. Job responsibilities The senior governance administrator will provide high-quality administrative and secretariat support to the corporate governance team, ensuring governance processes are well organised, compliant with statutory requirements, and aligned with best practice. The role primarily supports the Membership Council and associated committees while also contributing to wider corporate governance activity. Governance and Committee Secretariat Support Provide full administrative and secretariat support to the Membership Council, Trust Executive Committee and related committees and groups Schedule meetings, coordinate attendance, arrange venues (in-person and virtual), and manage logistics Support agenda development in collaboration with the company secretary, senior governance colleagues and committee chairs Collate, quality check and distribute meeting papers in line with agreed timetables, ensuring version control and correct templates Act as secretary to designated meetings, producing clear, accurate and timely minutes that capture discussions, decisions and actions Maintain action logs and follow-up trackers, ensuring actions are progressed and escalated where required Contribute to the development and maintenance of governance calendars and forward plans Prepare and submit committee reports to the Board in a timely manner Council of Governors and Membership Support Act as a first point of contact for governors on administrative and procedural matters Support governor induction, training and development processes, including maintaining attendance and training records Assist with planning and delivery of the annual members meeting and other governor-related events Support the coordination of governor elections, appointments and reappointments, liaising with external providers where required Maintain accurate and confidential records relating to governors, including declarations of interest and terms of office Records, Registers and Information Management Maintain accurate records of meetings, decisions, memberships and actions Support upkeep of governance registers (e.g. interests, gifts and hospitality) under direction of senior colleagues Manage governance inboxes and correspondence, prioritising and responding appropriately Support publication of governance information on internal systems and the trust website, ensuring accuracy and accessibility Compliance and Governance Assurance Support compliance with the trusts constitution, standing orders, standing financial instructions and committee terms of reference Assist with annual reviews of governance documentation Provide support for audits, inspections and regulatory submissions, including evidence gathering and action tracking Ensure governance processes and meetings support equality, diversity and inclusion, including accessibility requirements General Duties Provide administrative support to the wider corporate governance team, including diary management, document control and data entry Handle sensitive and confidential information with discretion Communicate complex or sensitive information as required to stakeholders Support evening or occasional out-of-hours meetings, including public meetings Contribute to development of local processes and procedures Undertake additional duties commensurate with the role as required Key Working Relationships Internal company secretary and corporate governance team Chair, non-executive directors and executive directors Committee chairs and committee members Executive assistants and senior managers Communications and membership teams External External election providers and system suppliers Regulators, auditors and partner organisations Members of the public engaging with governor meetings and events Person Specification Education/Qualifications Educated to degree level or equivalent relevant experience. Experience Significant experience of providing senior-level administrative or governance support in a complex organisation. Significant experience of providing senior-level administrative or governance support in a complex organisation. Experience of supporting boards, committees or membership councils. Knowledge Expertise within administration, underpinned by practical experience and knowledge of the full range of administrative and organisational policies and procedures, acquired through training and relevant experience to degree level or equivalent. Regulatory compliance awareness and knowledge of NHS foundation trust governance arrangements or membership organisations. Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions. Employer name Moorfields Eye Hospital NHS Foundation Trust £47,951 to £56,863 a yearper annum inclusive of HCAS
23/06/2026
Full time
Go back Moorfields Eye Hospital NHS Foundation Trust Senior Governance Administrator The closing date is 01 July 2026 The senior governance administrator will play a key role within the corporate governance team, supporting the effective operation of the trust's governance framework. Reporting to the deputy company secretary, the postholder will provide high-quality administrative and committee secretariat support, with a particular focus on the Membership Council and its committees. This is a fast-paced and highly visible role requiring strong organisational skills, attention to detail, and the ability to work with senior stakeholders including board members, governors and executive leaders. The successful candidate will help ensure governance processes are well-coordinated, compliant, transparent and effective. This is an excellent opportunity for someone who is proactive, organised and committed to high standards of governance to contribute to the smooth running of statutory and non-statutory processes in a complex NHS organisation. Main duties of the job The senior governance administrator will provide high-quality administrative and secretariat support to corporate governance functions, ensuring meetings and processes are organised, accurate and compliant. Key duties include coordinating governance meetings such as the Membership Council and committees, including scheduling, agenda planning, organising logistics, and collating and distributing papers. The postholder will attend meetings, produce clear and timely minutes, and maintain action logs to track decisions and follow-up actions. The role will work closely with senior governance colleagues and committee chairs to support forward planning, governance calendars and reporting, including preparing committee reports to the Board. The postholder will support governors and the Membership Council by acting as a main point of contact, maintain records, support induction and development, and assist with meetings, events and elections. Responsibilities will also include maintaining governance records and registers, managing correspondence, supporting publication of information, and ensuring compliance with governance frameworks. The role will contribute to audits, reviews and assurance processes, and provide wider administrative support to the governance team. Strong organisational skills, attention to detail, effective communication and the ability to manage competing priorities and sensitive information are essential. About us What's in it for You? At Moorfields, we invest in you your growth, your wellbeing, your future. You'll join a flexible, supportive organisation offering: Competitive salary (including high-cost area supplement) Membership of the NHS Pension Scheme 24/7 independent counselling support Career-long learning and development opportunities Excellent transport connections Access to NHS and Blue Light discount schemes Free Pilates classes Full support and training to develop your skills And so much more! To see the full range of benefits we offer please view our Moorfields benefits leaflet. Job responsibilities The senior governance administrator will provide high-quality administrative and secretariat support to the corporate governance team, ensuring governance processes are well organised, compliant with statutory requirements, and aligned with best practice. The role primarily supports the Membership Council and associated committees while also contributing to wider corporate governance activity. Governance and Committee Secretariat Support Provide full administrative and secretariat support to the Membership Council, Trust Executive Committee and related committees and groups Schedule meetings, coordinate attendance, arrange venues (in-person and virtual), and manage logistics Support agenda development in collaboration with the company secretary, senior governance colleagues and committee chairs Collate, quality check and distribute meeting papers in line with agreed timetables, ensuring version control and correct templates Act as secretary to designated meetings, producing clear, accurate and timely minutes that capture discussions, decisions and actions Maintain action logs and follow-up trackers, ensuring actions are progressed and escalated where required Contribute to the development and maintenance of governance calendars and forward plans Prepare and submit committee reports to the Board in a timely manner Council of Governors and Membership Support Act as a first point of contact for governors on administrative and procedural matters Support governor induction, training and development processes, including maintaining attendance and training records Assist with planning and delivery of the annual members meeting and other governor-related events Support the coordination of governor elections, appointments and reappointments, liaising with external providers where required Maintain accurate and confidential records relating to governors, including declarations of interest and terms of office Records, Registers and Information Management Maintain accurate records of meetings, decisions, memberships and actions Support upkeep of governance registers (e.g. interests, gifts and hospitality) under direction of senior colleagues Manage governance inboxes and correspondence, prioritising and responding appropriately Support publication of governance information on internal systems and the trust website, ensuring accuracy and accessibility Compliance and Governance Assurance Support compliance with the trusts constitution, standing orders, standing financial instructions and committee terms of reference Assist with annual reviews of governance documentation Provide support for audits, inspections and regulatory submissions, including evidence gathering and action tracking Ensure governance processes and meetings support equality, diversity and inclusion, including accessibility requirements General Duties Provide administrative support to the wider corporate governance team, including diary management, document control and data entry Handle sensitive and confidential information with discretion Communicate complex or sensitive information as required to stakeholders Support evening or occasional out-of-hours meetings, including public meetings Contribute to development of local processes and procedures Undertake additional duties commensurate with the role as required Key Working Relationships Internal company secretary and corporate governance team Chair, non-executive directors and executive directors Committee chairs and committee members Executive assistants and senior managers Communications and membership teams External External election providers and system suppliers Regulators, auditors and partner organisations Members of the public engaging with governor meetings and events Person Specification Education/Qualifications Educated to degree level or equivalent relevant experience. Experience Significant experience of providing senior-level administrative or governance support in a complex organisation. Significant experience of providing senior-level administrative or governance support in a complex organisation. Experience of supporting boards, committees or membership councils. Knowledge Expertise within administration, underpinned by practical experience and knowledge of the full range of administrative and organisational policies and procedures, acquired through training and relevant experience to degree level or equivalent. Regulatory compliance awareness and knowledge of NHS foundation trust governance arrangements or membership organisations. Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions. Employer name Moorfields Eye Hospital NHS Foundation Trust £47,951 to £56,863 a yearper annum inclusive of HCAS
Amazon
Data Scientist II, RufusX Science UK
Amazon
Job ID: Amazon Development Centre (London) Limited We are looking for a passionate, talented, and inventive Data Scientist with a strong machine learning and analytics background to help build industry leading language technology powering Rufus, our AI driven search and shopping assistant, helping customers with their shopping tasks at every step of their shopping journey. This innovative role focuses on developing conversation based, multimodal shopping experiences, utilizing data analysis, statistical modeling, machine learning (ML) technologies, and experimentation to drive product decisions and optimize customer experiences. Our mission in conversational shopping is to make it easy for customers to find and discover the best products to meet their needs by helping with their product research, providing comparisons and recommendations, answering product questions, enabling shopping directly from images or videos, providing visual inspiration, and more. We do this by leveraging advanced analytics, Natural Language Processing (NLP), Machine Learning (ML), A/B testing, causal inference, and data driven insights to continuously improve our systems. Key Job Responsibilities Analyze, model, and optimize AI technologies that will shape the future of shopping experiences. Measure and improve multimodal conversational systems, in particular those based on large language models, information retrieval, recommender systems and knowledge graphs, tailored to customer needs. Handle Amazon scale use cases with significant impact on our customers' experiences. Collaborate with scientists, engineers, and product partners locally and abroad. Design experiments, analyze results, and launch new features, products and systems. A Day in the Life Perform hands on analysis and modeling of enormous multimodal datasets to develop insights into how to best help customers throughout their shopping journeys. Use statistical methods, machine learning, and data mining techniques to create scalable solutions for measuring and optimizing shopping assistant systems based on a rich set of structured and unstructured contextual signals. Design and analyze A/B tests and experiments to evaluate new features and model improvements, ensuring statistical rigor and actionable insights. Develop metrics, dashboards, and reporting frameworks to monitor system performance, customer engagement, and business impact. Build predictive models and conduct deep dive analyses to identify opportunities for improving customer experience, conversion, and satisfaction. Collaborate with Applied Scientists and Engineers to translate analytical insights into production systems, working closely on model evaluation and deployment. Establish automated processes for large scale data analysis, ETL pipelines, metric generation, and experimentation frameworks. Communicate results and insights to both technical and non technical audiences, including through presentations, written reports, and data visualizations. About the Team The Rufus Features Science team, based in London, works alongside approximately 150 engineers, designers and product managers, shaping the future of AI driven shopping experiences at Amazon. The team works on every aspect of the Rufus AI, from making Rufus agentic, enabling customers to set price alerts or empower Rufus to act on their behalf and automatically purchase products when the price is right, to understanding multimodal user queries and generating answers that combine text, image, audio and video, including deep research reports that scour the web and the Amazon catalog to provide detailed and personalised shopping guidance. We utilize and advance state of the art techniques in the fields of Natural Language Processing, generative AI, Information Retrieval, Machine/Deep Learning, and Data Mining. We validate our work by actively participating in the internal and external scientific communities. Basic Qualifications Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance Experience in a ML or data scientist role with a large technology company Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab) Experience effectively communicating complex concepts through written and verbal communication Master's degree or above in Math, Statistics, Computer Science, or related science field Preferred Qualifications Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2 Experience in defining and creating benchmarks for assessing GenAI model performance Experience working on multi team, cross disciplinary projects Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
23/06/2026
Full time
Job ID: Amazon Development Centre (London) Limited We are looking for a passionate, talented, and inventive Data Scientist with a strong machine learning and analytics background to help build industry leading language technology powering Rufus, our AI driven search and shopping assistant, helping customers with their shopping tasks at every step of their shopping journey. This innovative role focuses on developing conversation based, multimodal shopping experiences, utilizing data analysis, statistical modeling, machine learning (ML) technologies, and experimentation to drive product decisions and optimize customer experiences. Our mission in conversational shopping is to make it easy for customers to find and discover the best products to meet their needs by helping with their product research, providing comparisons and recommendations, answering product questions, enabling shopping directly from images or videos, providing visual inspiration, and more. We do this by leveraging advanced analytics, Natural Language Processing (NLP), Machine Learning (ML), A/B testing, causal inference, and data driven insights to continuously improve our systems. Key Job Responsibilities Analyze, model, and optimize AI technologies that will shape the future of shopping experiences. Measure and improve multimodal conversational systems, in particular those based on large language models, information retrieval, recommender systems and knowledge graphs, tailored to customer needs. Handle Amazon scale use cases with significant impact on our customers' experiences. Collaborate with scientists, engineers, and product partners locally and abroad. Design experiments, analyze results, and launch new features, products and systems. A Day in the Life Perform hands on analysis and modeling of enormous multimodal datasets to develop insights into how to best help customers throughout their shopping journeys. Use statistical methods, machine learning, and data mining techniques to create scalable solutions for measuring and optimizing shopping assistant systems based on a rich set of structured and unstructured contextual signals. Design and analyze A/B tests and experiments to evaluate new features and model improvements, ensuring statistical rigor and actionable insights. Develop metrics, dashboards, and reporting frameworks to monitor system performance, customer engagement, and business impact. Build predictive models and conduct deep dive analyses to identify opportunities for improving customer experience, conversion, and satisfaction. Collaborate with Applied Scientists and Engineers to translate analytical insights into production systems, working closely on model evaluation and deployment. Establish automated processes for large scale data analysis, ETL pipelines, metric generation, and experimentation frameworks. Communicate results and insights to both technical and non technical audiences, including through presentations, written reports, and data visualizations. About the Team The Rufus Features Science team, based in London, works alongside approximately 150 engineers, designers and product managers, shaping the future of AI driven shopping experiences at Amazon. The team works on every aspect of the Rufus AI, from making Rufus agentic, enabling customers to set price alerts or empower Rufus to act on their behalf and automatically purchase products when the price is right, to understanding multimodal user queries and generating answers that combine text, image, audio and video, including deep research reports that scour the web and the Amazon catalog to provide detailed and personalised shopping guidance. We utilize and advance state of the art techniques in the fields of Natural Language Processing, generative AI, Information Retrieval, Machine/Deep Learning, and Data Mining. We validate our work by actively participating in the internal and external scientific communities. Basic Qualifications Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance Experience in a ML or data scientist role with a large technology company Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab) Experience effectively communicating complex concepts through written and verbal communication Master's degree or above in Math, Statistics, Computer Science, or related science field Preferred Qualifications Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2 Experience in defining and creating benchmarks for assessing GenAI model performance Experience working on multi team, cross disciplinary projects Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Developer Platform Engineer
Equals Money Chester, Cheshire
About Us Equals Money is a leading payments and financial operations platform helping businesses simplify, control, and optimise their money movement. With more than a million customers served over 18 years, our award winning portfolio spans travel money, international transfers, card issuing, FX hedging, and expense management. In May 2025, Equals Money and Railsr came together to form a single, more powerful fintech. The merger unlocks a rare moment: we have the scale, regulatory foundation, and infrastructure of an established business, combined with the urgency, complexity, and ambition of a high growth company rebuilding its operating model for the next decade. To deliver on this vision, we are transforming how our business works from the inside out. We are building integrated systems, automated workflows, and AI enabled processes that will power faster onboarding, stronger compliance, better decision making, and rapid international expansion. About the Role Equals Money is building the infrastructure that lets businesses move money with confidence. Our APIs are at the heart of that - and right now they're not as easy to integrate with as they should be. We're hiring a Developer Platform Engineer to own that. This is a hands on, high ownership role sitting at the intersection of engineering and external developer experience. You'll build and own the developer sandbox - a production grade environment where external developers can integrate, test, and ship - and you'll shape everything around it: the APIs, the documentation, the tooling, and the feedback loop back into our engineering teams. This isn't a documentation role. We're looking for someone who writes production code, makes opinionated decisions about how our platform should work, and can represent Equals Money's APIs to the world. What You'll Own Developer Sandbox (Primary Ownership) The sandbox is your core product. You're accountable for making it best in class - not just functional, but genuinely useful for developers building real integrations. That means: Designing and building a production parity sandbox environment that external developers can rely on Owning the full lifecycle: architecture, deployment, reliability, and continuous improvement Making it the gold standard by which external developers judge Equals Money's platform Ensuring it surfaces realistic data, simulates edge cases, and removes friction from day one of integration Developer MCP Server Equals Money is investing in AI native developer tooling. You'll own the externally facing MCP (Model Context Protocol) server - the interface that lets AI assistants and agentic tools integrate directly with our platform. That means: Owning the full lifecycle of the MCP server: design, implementation, deployment, and ongoing reliability Ensuring the server exposes well structured, discoverable tools that make Equals Money's APIs accessible to AI agents and developer tooling Collaborating with internal engineering teams to surface new capabilities through the MCP interface as the platform evolves Monitoring adoption, gathering developer feedback, and iterating to improve the integration experience Keeping the server secure, versioned, and aligned with our API standards and FCA regulatory obligations API Quality and Developer Experience Auditing and improving our external APIs - naming, consistency, error handling, and documentation Building SDKs, code samples, and integration guides that developers actually want to use Writing technical content: quickstarts, tutorials, API reference, and how to guides Instrumenting developer journeys to identify where integrations break down and fixing the root cause Developer Feedback Loop Being the voice of the external developer inside Equals Money's engineering teams Triaging integration pain points and driving improvements directly - not just creating tickets Collaborating with product and engineering to influence API design decisions before they ship Engaging with external developers to gather feedback and build trust in the platform What We're Looking For You'll thrive in this role if you Are an engineer first - you write production code and take ownership of what you ship Have built or integrated with REST APIs and understand what makes them a joy (or a nightmare) to work with Have strong opinions about developer experience and can back them up with working software Are comfortable working independently and driving outcomes without a detailed roadmap Enjoy being externally facing - writing for developers, gathering feedback, and improving things iteratively Can translate between technical complexity and clear, developer friendly communication Technical background we're looking for Strong hands on experience with backend development and API design (REST, webhooks, auth patterns) Experience building or owning developer facing tooling: SDKs, sandbox environments, integration test suites Familiarity with MCP (Model Context Protocol) or AI agent integration patterns is a strong plus Familiarity with fintech or payments infrastructure is a plus, not a prerequisite Comfortable working across the stack where needed - this role touches infrastructure, backend, and docs Why Equals Money We're a profitable, growing fintech building payments infrastructure for businesses. This role is genuinely greenfield - you'll have real influence over how external developers experience our platform for years to come. High ownership from day one Direct access to engineering leadership and product decisions Competitive salary, hybrid working, and a team that values outcomes over process The chance to build something that meaningfully improves how developers work Our investment in you: We welcome people into the Equals group and desire to grow and develop our talented teams. We believe in teamwork and celebrating our successes. We strive to embrace our values. We want to put you in the driving seat of your career and achieve your full potential through growth opportunities and developmental support. When you join the Equals Group, we aim to help you to get more out of your career. We will also offer you the following benefits; Benefits A competitive salary benchmarked against a peer group. 25 days holiday per year Free onsite Nuffield Health gym & pool (London) and discounted gym membership elsewhere GetActive with Aviva - Health and Wellbeing discounts on services and products Interbank currency rates on travel money and international transfers. AXA Private Healthcare Free Eye Test and £50 up to the cost of glasses EAP Service - Mental Health Services Life Assurance Policy - x3 annual salary Contributory pension scheme Cycle to Work Scheme Season Ticket Loans Enhanced Parental Policies Complimentary tea, coffee, soft drinks and fruit We operate a hybrid working arrangement where possible Working Arrangements Where possible, we offer the opportunity to work flexibly and the opportunity to balance some remote working with time in the office collaborating, taking part in events and developing the social connections that make working with us rewarding. Equals Group strives to create a workplace where we can all be ourselves. We believe in inclusion, equality and the power of diversity, so you'll be encouraged to bring your unique perspectives and experiences, and help us understand what you need to do your best work.
23/06/2026
Full time
About Us Equals Money is a leading payments and financial operations platform helping businesses simplify, control, and optimise their money movement. With more than a million customers served over 18 years, our award winning portfolio spans travel money, international transfers, card issuing, FX hedging, and expense management. In May 2025, Equals Money and Railsr came together to form a single, more powerful fintech. The merger unlocks a rare moment: we have the scale, regulatory foundation, and infrastructure of an established business, combined with the urgency, complexity, and ambition of a high growth company rebuilding its operating model for the next decade. To deliver on this vision, we are transforming how our business works from the inside out. We are building integrated systems, automated workflows, and AI enabled processes that will power faster onboarding, stronger compliance, better decision making, and rapid international expansion. About the Role Equals Money is building the infrastructure that lets businesses move money with confidence. Our APIs are at the heart of that - and right now they're not as easy to integrate with as they should be. We're hiring a Developer Platform Engineer to own that. This is a hands on, high ownership role sitting at the intersection of engineering and external developer experience. You'll build and own the developer sandbox - a production grade environment where external developers can integrate, test, and ship - and you'll shape everything around it: the APIs, the documentation, the tooling, and the feedback loop back into our engineering teams. This isn't a documentation role. We're looking for someone who writes production code, makes opinionated decisions about how our platform should work, and can represent Equals Money's APIs to the world. What You'll Own Developer Sandbox (Primary Ownership) The sandbox is your core product. You're accountable for making it best in class - not just functional, but genuinely useful for developers building real integrations. That means: Designing and building a production parity sandbox environment that external developers can rely on Owning the full lifecycle: architecture, deployment, reliability, and continuous improvement Making it the gold standard by which external developers judge Equals Money's platform Ensuring it surfaces realistic data, simulates edge cases, and removes friction from day one of integration Developer MCP Server Equals Money is investing in AI native developer tooling. You'll own the externally facing MCP (Model Context Protocol) server - the interface that lets AI assistants and agentic tools integrate directly with our platform. That means: Owning the full lifecycle of the MCP server: design, implementation, deployment, and ongoing reliability Ensuring the server exposes well structured, discoverable tools that make Equals Money's APIs accessible to AI agents and developer tooling Collaborating with internal engineering teams to surface new capabilities through the MCP interface as the platform evolves Monitoring adoption, gathering developer feedback, and iterating to improve the integration experience Keeping the server secure, versioned, and aligned with our API standards and FCA regulatory obligations API Quality and Developer Experience Auditing and improving our external APIs - naming, consistency, error handling, and documentation Building SDKs, code samples, and integration guides that developers actually want to use Writing technical content: quickstarts, tutorials, API reference, and how to guides Instrumenting developer journeys to identify where integrations break down and fixing the root cause Developer Feedback Loop Being the voice of the external developer inside Equals Money's engineering teams Triaging integration pain points and driving improvements directly - not just creating tickets Collaborating with product and engineering to influence API design decisions before they ship Engaging with external developers to gather feedback and build trust in the platform What We're Looking For You'll thrive in this role if you Are an engineer first - you write production code and take ownership of what you ship Have built or integrated with REST APIs and understand what makes them a joy (or a nightmare) to work with Have strong opinions about developer experience and can back them up with working software Are comfortable working independently and driving outcomes without a detailed roadmap Enjoy being externally facing - writing for developers, gathering feedback, and improving things iteratively Can translate between technical complexity and clear, developer friendly communication Technical background we're looking for Strong hands on experience with backend development and API design (REST, webhooks, auth patterns) Experience building or owning developer facing tooling: SDKs, sandbox environments, integration test suites Familiarity with MCP (Model Context Protocol) or AI agent integration patterns is a strong plus Familiarity with fintech or payments infrastructure is a plus, not a prerequisite Comfortable working across the stack where needed - this role touches infrastructure, backend, and docs Why Equals Money We're a profitable, growing fintech building payments infrastructure for businesses. This role is genuinely greenfield - you'll have real influence over how external developers experience our platform for years to come. High ownership from day one Direct access to engineering leadership and product decisions Competitive salary, hybrid working, and a team that values outcomes over process The chance to build something that meaningfully improves how developers work Our investment in you: We welcome people into the Equals group and desire to grow and develop our talented teams. We believe in teamwork and celebrating our successes. We strive to embrace our values. We want to put you in the driving seat of your career and achieve your full potential through growth opportunities and developmental support. When you join the Equals Group, we aim to help you to get more out of your career. We will also offer you the following benefits; Benefits A competitive salary benchmarked against a peer group. 25 days holiday per year Free onsite Nuffield Health gym & pool (London) and discounted gym membership elsewhere GetActive with Aviva - Health and Wellbeing discounts on services and products Interbank currency rates on travel money and international transfers. AXA Private Healthcare Free Eye Test and £50 up to the cost of glasses EAP Service - Mental Health Services Life Assurance Policy - x3 annual salary Contributory pension scheme Cycle to Work Scheme Season Ticket Loans Enhanced Parental Policies Complimentary tea, coffee, soft drinks and fruit We operate a hybrid working arrangement where possible Working Arrangements Where possible, we offer the opportunity to work flexibly and the opportunity to balance some remote working with time in the office collaborating, taking part in events and developing the social connections that make working with us rewarding. Equals Group strives to create a workplace where we can all be ourselves. We believe in inclusion, equality and the power of diversity, so you'll be encouraged to bring your unique perspectives and experiences, and help us understand what you need to do your best work.
Developer Platform Engineer
Equals Money
About Us Equals Money is a leading payments and financial operations platform helping businesses simplify, control, and optimise their money movement. With more than a million customers served over 18 years, our award winning portfolio spans travel money, international transfers, card issuing, FX hedging, and expense management. In May 2025, Equals Money and Railsr came together to form a single, more powerful fintech. The merger unlocks a rare moment: we have the scale, regulatory foundation, and infrastructure of an established business, combined with the urgency, complexity, and ambition of a high growth company rebuilding its operating model for the next decade. To deliver on this vision, we are transforming how our business works from the inside out. We are building integrated systems, automated workflows, and AI enabled processes that will power faster onboarding, stronger compliance, better decision making, and rapid international expansion. About the Role Equals Money is building the infrastructure that lets businesses move money with confidence. Our APIs are at the heart of that - and right now they're not as easy to integrate with as they should be. We're hiring a Developer Platform Engineer to own that. This is a hands on, high ownership role sitting at the intersection of engineering and external developer experience. You'll build and own the developer sandbox - a production grade environment where external developers can integrate, test, and ship - and you'll shape everything around it: the APIs, the documentation, the tooling, and the feedback loop back into our engineering teams. This isn't a documentation role. We're looking for someone who writes production code, makes opinionated decisions about how our platform should work, and can represent Equals Money's APIs to the world. What You'll Own Developer Sandbox (Primary Ownership) The sandbox is your core product. You're accountable for making it best in class - not just functional, but genuinely useful for developers building real integrations. That means: Designing and building a production parity sandbox environment that external developers can rely on Owning the full lifecycle: architecture, deployment, reliability, and continuous improvement Making it the gold standard by which external developers judge Equals Money's platform Ensuring it surfaces realistic data, simulates edge cases, and removes friction from day one of integration Developer MCP Server Equals Money is investing in AI native developer tooling. You'll own the externally facing MCP (Model Context Protocol) server - the interface that lets AI assistants and agentic tools integrate directly with our platform. That means: Owning the full lifecycle of the MCP server: design, implementation, deployment, and ongoing reliability Ensuring the server exposes well structured, discoverable tools that make Equals Money's APIs accessible to AI agents and developer tooling Collaborating with internal engineering teams to surface new capabilities through the MCP interface as the platform evolves Monitoring adoption, gathering developer feedback, and iterating to improve the integration experience Keeping the server secure, versioned, and aligned with our API standards and FCA regulatory obligations API Quality and Developer Experience Auditing and improving our external APIs - naming, consistency, error handling, and documentation Building SDKs, code samples, and integration guides that developers actually want to use Writing technical content: quickstarts, tutorials, API reference, and how to guides Instrumenting developer journeys to identify where integrations break down and fixing the root cause Developer Feedback Loop Being the voice of the external developer inside Equals Money's engineering teams Triaging integration pain points and driving improvements directly - not just creating tickets Collaborating with product and engineering to influence API design decisions before they ship Engaging with external developers to gather feedback and build trust in the platform What We're Looking For You'll thrive in this role if you Are an engineer first - you write production code and take ownership of what you ship Have built or integrated with REST APIs and understand what makes them a joy (or a nightmare) to work with Have strong opinions about developer experience and can back them up with working software Are comfortable working independently and driving outcomes without a detailed roadmap Enjoy being externally facing - writing for developers, gathering feedback, and improving things iteratively Can translate between technical complexity and clear, developer friendly communication Technical background we're looking for Strong hands on experience with backend development and API design (REST, webhooks, auth patterns) Experience building or owning developer facing tooling: SDKs, sandbox environments, integration test suites Familiarity with MCP (Model Context Protocol) or AI agent integration patterns is a strong plus Familiarity with fintech or payments infrastructure is a plus, not a prerequisite Comfortable working across the stack where needed - this role touches infrastructure, backend, and docs Why Equals Money We're a profitable, growing fintech building payments infrastructure for businesses. This role is genuinely greenfield - you'll have real influence over how external developers experience our platform for years to come. High ownership from day one Direct access to engineering leadership and product decisions Competitive salary, hybrid working, and a team that values outcomes over process The chance to build something that meaningfully improves how developers work Our investment in you: We welcome people into the Equals group and desire to grow and develop our talented teams. We believe in teamwork and celebrating our successes. We strive to embrace our values. We want to put you in the driving seat of your career and achieve your full potential through growth opportunities and developmental support. When you join the Equals Group, we aim to help you to get more out of your career. We will also offer you the following benefits; Benefits A competitive salary benchmarked against a peer group. 25 days holiday per year Free onsite Nuffield Health gym & pool (London) and discounted gym membership elsewhere GetActive with Aviva - Health and Wellbeing discounts on services and products Interbank currency rates on travel money and international transfers. AXA Private Healthcare Free Eye Test and £50 up to the cost of glasses EAP Service - Mental Health Services Life Assurance Policy - x3 annual salary Contributory pension scheme Cycle to Work Scheme Season Ticket Loans Enhanced Parental Policies Complimentary tea, coffee, soft drinks and fruit We operate a hybrid working arrangement where possible Working Arrangements Where possible, we offer the opportunity to work flexibly and the opportunity to balance some remote working with time in the office collaborating, taking part in events and developing the social connections that make working with us rewarding. Equals Group strives to create a workplace where we can all be ourselves. We believe in inclusion, equality and the power of diversity, so you'll be encouraged to bring your unique perspectives and experiences, and help us understand what you need to do your best work.
23/06/2026
Full time
About Us Equals Money is a leading payments and financial operations platform helping businesses simplify, control, and optimise their money movement. With more than a million customers served over 18 years, our award winning portfolio spans travel money, international transfers, card issuing, FX hedging, and expense management. In May 2025, Equals Money and Railsr came together to form a single, more powerful fintech. The merger unlocks a rare moment: we have the scale, regulatory foundation, and infrastructure of an established business, combined with the urgency, complexity, and ambition of a high growth company rebuilding its operating model for the next decade. To deliver on this vision, we are transforming how our business works from the inside out. We are building integrated systems, automated workflows, and AI enabled processes that will power faster onboarding, stronger compliance, better decision making, and rapid international expansion. About the Role Equals Money is building the infrastructure that lets businesses move money with confidence. Our APIs are at the heart of that - and right now they're not as easy to integrate with as they should be. We're hiring a Developer Platform Engineer to own that. This is a hands on, high ownership role sitting at the intersection of engineering and external developer experience. You'll build and own the developer sandbox - a production grade environment where external developers can integrate, test, and ship - and you'll shape everything around it: the APIs, the documentation, the tooling, and the feedback loop back into our engineering teams. This isn't a documentation role. We're looking for someone who writes production code, makes opinionated decisions about how our platform should work, and can represent Equals Money's APIs to the world. What You'll Own Developer Sandbox (Primary Ownership) The sandbox is your core product. You're accountable for making it best in class - not just functional, but genuinely useful for developers building real integrations. That means: Designing and building a production parity sandbox environment that external developers can rely on Owning the full lifecycle: architecture, deployment, reliability, and continuous improvement Making it the gold standard by which external developers judge Equals Money's platform Ensuring it surfaces realistic data, simulates edge cases, and removes friction from day one of integration Developer MCP Server Equals Money is investing in AI native developer tooling. You'll own the externally facing MCP (Model Context Protocol) server - the interface that lets AI assistants and agentic tools integrate directly with our platform. That means: Owning the full lifecycle of the MCP server: design, implementation, deployment, and ongoing reliability Ensuring the server exposes well structured, discoverable tools that make Equals Money's APIs accessible to AI agents and developer tooling Collaborating with internal engineering teams to surface new capabilities through the MCP interface as the platform evolves Monitoring adoption, gathering developer feedback, and iterating to improve the integration experience Keeping the server secure, versioned, and aligned with our API standards and FCA regulatory obligations API Quality and Developer Experience Auditing and improving our external APIs - naming, consistency, error handling, and documentation Building SDKs, code samples, and integration guides that developers actually want to use Writing technical content: quickstarts, tutorials, API reference, and how to guides Instrumenting developer journeys to identify where integrations break down and fixing the root cause Developer Feedback Loop Being the voice of the external developer inside Equals Money's engineering teams Triaging integration pain points and driving improvements directly - not just creating tickets Collaborating with product and engineering to influence API design decisions before they ship Engaging with external developers to gather feedback and build trust in the platform What We're Looking For You'll thrive in this role if you Are an engineer first - you write production code and take ownership of what you ship Have built or integrated with REST APIs and understand what makes them a joy (or a nightmare) to work with Have strong opinions about developer experience and can back them up with working software Are comfortable working independently and driving outcomes without a detailed roadmap Enjoy being externally facing - writing for developers, gathering feedback, and improving things iteratively Can translate between technical complexity and clear, developer friendly communication Technical background we're looking for Strong hands on experience with backend development and API design (REST, webhooks, auth patterns) Experience building or owning developer facing tooling: SDKs, sandbox environments, integration test suites Familiarity with MCP (Model Context Protocol) or AI agent integration patterns is a strong plus Familiarity with fintech or payments infrastructure is a plus, not a prerequisite Comfortable working across the stack where needed - this role touches infrastructure, backend, and docs Why Equals Money We're a profitable, growing fintech building payments infrastructure for businesses. This role is genuinely greenfield - you'll have real influence over how external developers experience our platform for years to come. High ownership from day one Direct access to engineering leadership and product decisions Competitive salary, hybrid working, and a team that values outcomes over process The chance to build something that meaningfully improves how developers work Our investment in you: We welcome people into the Equals group and desire to grow and develop our talented teams. We believe in teamwork and celebrating our successes. We strive to embrace our values. We want to put you in the driving seat of your career and achieve your full potential through growth opportunities and developmental support. When you join the Equals Group, we aim to help you to get more out of your career. We will also offer you the following benefits; Benefits A competitive salary benchmarked against a peer group. 25 days holiday per year Free onsite Nuffield Health gym & pool (London) and discounted gym membership elsewhere GetActive with Aviva - Health and Wellbeing discounts on services and products Interbank currency rates on travel money and international transfers. AXA Private Healthcare Free Eye Test and £50 up to the cost of glasses EAP Service - Mental Health Services Life Assurance Policy - x3 annual salary Contributory pension scheme Cycle to Work Scheme Season Ticket Loans Enhanced Parental Policies Complimentary tea, coffee, soft drinks and fruit We operate a hybrid working arrangement where possible Working Arrangements Where possible, we offer the opportunity to work flexibly and the opportunity to balance some remote working with time in the office collaborating, taking part in events and developing the social connections that make working with us rewarding. Equals Group strives to create a workplace where we can all be ourselves. We believe in inclusion, equality and the power of diversity, so you'll be encouraged to bring your unique perspectives and experiences, and help us understand what you need to do your best work.
Data Catalog Product VP
JPMorgan Chase & Co.
Locations 25 Bank Street, Canary Wharf, London, Greater London, E14 5JP, GB Job Schedule Full time Job Shift Day Job Description The Chief Data and Analytics Office (CDAO) builds enterprise-scale platforms for Data Management, Analytics, and AI/ML Operations used firm-wide across JPMorgan Chase. Within CDAO, the Data for AI Product Management team creates reusable platform solutions that transform how data producers and consumers discover, access, govern, and leverage data. As the Data Catalog Product Manager, you will play a pivotal role in building a unified, multi-channel data marketplace where thousands of firmwide datasets become easy to find, preview, and integrate across application and AI use cases. You will own the end-to-end vision, strategy, and execution - spanning a rich web UI, programmatic APIs, and future agentic integrations (Claude, Copilot, internal AI assistants) that meet consumers where they already work. We want someone who leads with problems, not solutions - who brings deep UX and service design expertise, has built catalog or marketplace products at scale, and can articulate how intelligent discovery evolves in an agentic AI world. What You'll Do Own the Catalog Vision & Strategy Define the multi-year product vision and roadmap for firmwide data discovery serving data scientists, ML engineers, analytics engineers, and increasingly business users. Establish north-star metrics tied to real impact: time-to-data, publishing velocity, discovery-to-integration conversion, repeat usage, and governance compliance . Own the full lifecycle from problem discovery delivery adoption iteration. Design a World-Class Discovery Experience Lead the UX and service design vision - intuitive, fast, and delightful across all touchpoints. Build rich dataset pages with metadata, schema previews, sample data, interactive code samples, lineage, quality scores, usage stats, ratings, and community annotations - inspired by the best consumer marketplace patterns (Kaggle, Spotify, App Store). Build for Multi-Channel: UI, API & Agents Architect an API-first platform powering a beautiful web UI today and programmatic access for code-first engineers. Meet consumers in their daily tools - notebooks, IDEs, orchestration platforms, chat interfaces, copilots - eliminating context-switching. Design composable, reusable solutions that integrate with the broader CDAO ecosystem. Champion Both Sides of the Marketplace Producers: Make it effortless to publish, document, version, and maintain datasets with rich metadata, automated quality profiling, and governance guardrails. Consumers: Reduce friction from discovery to access - self-service provisioning, entitlement workflows, one-click integration with SageMaker, Databricks, and EMR. Network effects: Analyze usage trends to improve data quality, discovery and relevancy across persona groups Collaborate with Engineering, Design & Data Science Work with UX designers and researchers on usability testing, rapid prototyping, and user validation. Write detailed PRDs and technical documentation that engineers and consumers can act on. Lead & Influence the team Influence cross-functional stakeholders - engineering, architecture, data science, governance, UX, and senior business leaders. Mentor and develop junior product managers. Required Skills 8+ years in technical product management delivering catalog, marketplace, or discovery platforms from ideation to production at scale. Deep UX & service design sensibility - passion to build clear, intuitive and scalable UI experiences. Multi-channel product delivery - shipped across web UI, API, and/or conversational/agent-based interfaces. Technical depth in data infrastructure - data catalogs, metadata management, governance frameworks, data quality tooling. Strong communication - translate technical complexity into clear narratives for engineers, designers, and executives. Prioritisation at scale - balance competing demands across a large stakeholder base by weighing business impact, user value, and technical feasibility. Preferred Experience in financial services or highly regulated industries . Built or scaled a data catalog, data marketplace, feature store, or developer portals (e.g., Kaggle Datasets, Unity Catalog, Collibra, Alation, Atlan). Understanding of agentic AI patterns - tool-use, RAG, function calling - and how marketplace APIs can be exposed to LLM-based agents. Experience with search relevance & recommendation systems - ranking algorithms, semantic search, personalisation. Hands-on with Snowflake, Databricks, Airflow, Kafka . Why Join Us Work on firm-wide platforms used by thousands of data scientists, ML engineers, and analysts across JPMC Shape the future of AI/ML and data infrastructure at one of the world's largest financial institutions About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit ourFAQs for more information about requesting an accommodation. About the Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
23/06/2026
Full time
Locations 25 Bank Street, Canary Wharf, London, Greater London, E14 5JP, GB Job Schedule Full time Job Shift Day Job Description The Chief Data and Analytics Office (CDAO) builds enterprise-scale platforms for Data Management, Analytics, and AI/ML Operations used firm-wide across JPMorgan Chase. Within CDAO, the Data for AI Product Management team creates reusable platform solutions that transform how data producers and consumers discover, access, govern, and leverage data. As the Data Catalog Product Manager, you will play a pivotal role in building a unified, multi-channel data marketplace where thousands of firmwide datasets become easy to find, preview, and integrate across application and AI use cases. You will own the end-to-end vision, strategy, and execution - spanning a rich web UI, programmatic APIs, and future agentic integrations (Claude, Copilot, internal AI assistants) that meet consumers where they already work. We want someone who leads with problems, not solutions - who brings deep UX and service design expertise, has built catalog or marketplace products at scale, and can articulate how intelligent discovery evolves in an agentic AI world. What You'll Do Own the Catalog Vision & Strategy Define the multi-year product vision and roadmap for firmwide data discovery serving data scientists, ML engineers, analytics engineers, and increasingly business users. Establish north-star metrics tied to real impact: time-to-data, publishing velocity, discovery-to-integration conversion, repeat usage, and governance compliance . Own the full lifecycle from problem discovery delivery adoption iteration. Design a World-Class Discovery Experience Lead the UX and service design vision - intuitive, fast, and delightful across all touchpoints. Build rich dataset pages with metadata, schema previews, sample data, interactive code samples, lineage, quality scores, usage stats, ratings, and community annotations - inspired by the best consumer marketplace patterns (Kaggle, Spotify, App Store). Build for Multi-Channel: UI, API & Agents Architect an API-first platform powering a beautiful web UI today and programmatic access for code-first engineers. Meet consumers in their daily tools - notebooks, IDEs, orchestration platforms, chat interfaces, copilots - eliminating context-switching. Design composable, reusable solutions that integrate with the broader CDAO ecosystem. Champion Both Sides of the Marketplace Producers: Make it effortless to publish, document, version, and maintain datasets with rich metadata, automated quality profiling, and governance guardrails. Consumers: Reduce friction from discovery to access - self-service provisioning, entitlement workflows, one-click integration with SageMaker, Databricks, and EMR. Network effects: Analyze usage trends to improve data quality, discovery and relevancy across persona groups Collaborate with Engineering, Design & Data Science Work with UX designers and researchers on usability testing, rapid prototyping, and user validation. Write detailed PRDs and technical documentation that engineers and consumers can act on. Lead & Influence the team Influence cross-functional stakeholders - engineering, architecture, data science, governance, UX, and senior business leaders. Mentor and develop junior product managers. Required Skills 8+ years in technical product management delivering catalog, marketplace, or discovery platforms from ideation to production at scale. Deep UX & service design sensibility - passion to build clear, intuitive and scalable UI experiences. Multi-channel product delivery - shipped across web UI, API, and/or conversational/agent-based interfaces. Technical depth in data infrastructure - data catalogs, metadata management, governance frameworks, data quality tooling. Strong communication - translate technical complexity into clear narratives for engineers, designers, and executives. Prioritisation at scale - balance competing demands across a large stakeholder base by weighing business impact, user value, and technical feasibility. Preferred Experience in financial services or highly regulated industries . Built or scaled a data catalog, data marketplace, feature store, or developer portals (e.g., Kaggle Datasets, Unity Catalog, Collibra, Alation, Atlan). Understanding of agentic AI patterns - tool-use, RAG, function calling - and how marketplace APIs can be exposed to LLM-based agents. Experience with search relevance & recommendation systems - ranking algorithms, semantic search, personalisation. Hands-on with Snowflake, Databricks, Airflow, Kafka . Why Join Us Work on firm-wide platforms used by thousands of data scientists, ML engineers, and analysts across JPMC Shape the future of AI/ML and data infrastructure at one of the world's largest financial institutions About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit ourFAQs for more information about requesting an accommodation. About the Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
Hampshire County Council
Lead Software Engineer WCC624412
Hampshire County Council City Of Westminster, London
Lead Software Engineer WCC624412 Salary range: £83,448 - £98,472 per annum. Salary negotiable depending upon experience. Work location: Westminster City Hall,64 Victoria Street, Westminster, SW1E 6QP Hours per week: 36 Contract type: Temporary up to 18 months Vetting requirements: Basic DBS Check Closing date: 13 July 2026 About Us: THE EXTRAORDINARY STORY OF 809 CONNECTED BUSINESSES Digital and Innovation in Westminster City Council is a world of extraordinary stories, where creative and enterprising people put local residents and businesses first. Today, Westminster is the most connected borough in London. But, when David joined us in the mid-2010s, small businesses were still struggling to get connected to fibre. Without gigabit-capable broadband, some companies even resorted to biking memory sticks around the city, simply to share files with clients. Although still in a junior role, David took the initiative and successfully made the business case for £2.8 million of European funding to support connectivity for small businesses across Westminster. Feedback from businesses has been overwhelmingly positive as the project has enhanced their communications with clients. The new connectivity allows them to make video calls and work remotely. As the pandemic hit and many more people needed to work from home, it became clear just how vital this investment had been. Fast-forward a few years. Westminster is leading the way for connectivity, as a result of the project businesses are thriving, and David is heading up a service of his own responsible for delivery of the Smart City strategy. The Role: As a Lead Software Engineer, you can make your own powerful contribution to people across Westminster. Joining the council's newly established AI Innovation Hub, you'll act as the senior technical authority for AI agents - owning the most complex agent builds, setting the patterns the rest of the organisation follows, and running the Agent Ops operating model that keeps the council's agent estate safe. Your day-to-day will be varied and dynamic, including everything from designing resident-facing assistants and internal staff productivity agents, to responding to incidents and ensuring governance processes are followed. Acting as a mentor to less technical agent builders, you'll raise the technical floor across the organisation, building community, sharing knowledge and supporting council teams to harness AI to deliver better outcomes for residents. An established professional with demonstrable experience designing and delivering AI agents or AI-enabled automation in a production setting, you'll bring hands on experience of Microsoft Copilot Studio and the Power Platform. You may have worked in a complex or regulated organisation in the past, and will be confident monitoring and evaluating AI agents, controlling cost, responding to incidents and applying an AgentOps style lifecycle. You'll also have a strong understanding of the following: Agentic patterns. Prompt design, scripting and programming for integration and automation. AI safety, Responsible AI, prompt injection defences, data governance and privacy. APIs, JSON/XML, OAuth, Microsoft Graph, custom connectors, and Dataverse data modelling. As a leader, you'll be motivating and supportive, setting a high bar that inspires others to learn, grow and develop their own skillsets. On a personal level, you'll have the ability to communicate technical concepts to non technical audiences, strong problem solving and analytical skills and a commitment to user centred design and inclusive service delivery. This is a fantastic opportunity to join an innovative, supportive team, and to supercharge your career in the process. Westminster City Council is committed to supporting Care Leavers into the workplace. Care Leavers seeking their first job and who wish to be considered under our scheme, will automatically be invited to interview should they meet the essential criteria for the role. The Council is committed to achieving diverse shortlists to support our desire to increase the number of staff from under represented groups in our workforce. We especially encourage applications from a Global Majority (GM), people who are Black, Asian, Brown, dual heritage, indigenous to the global south, and or have been racialised as 'ethnic minorities' (formally known as B.A.M.E, Black, Asian and multiple ethnic) background and, while the role is open to all applicants, we will utilise the positive action provisions of the Equality Act 2010 to appoint a candidate from a global majority background where there is a choice between two candidates of equal merit. If you are from a Global Majority background you can self declare this to the hiring manager as part of our positive action commitments. What We Offer: Westminster is an amazing place. We are home to more than 200,000 residents from all backgrounds, over 50,000 vibrant and vital businesses and three quarters of a million people work in Westminster. Westminster City Council is one in which our communities are at the heart of our decision making and help to determine the city's future. By working directly with our communities and other partners, we can build a more inclusive city that celebrates our diverse communities, and where residents, workers and visitors from all backgrounds will feel welcome and safe. At Westminster City Council, we pride ourselves on being an inclusive workplace and employer of choice. We encourage and welcome applications from people from all backgrounds and aim to have a workforce that, at all levels, represents the communities we serve. We champion equality, diversity, inclusion and wellbeing and aim to create a workplace where everyone feels valued, has a sense of belonging and is empowered to be their best, that is Our Westminster Way. To find out more about how we do this visit and-social care/ As a forward thinking Council we appreciate that people work in different ways, therefore our staff benefit from working a range of flexible working patterns as well as Agile working. The Council is a Disability Confident Employer. If you have declared a disability in your application, we guarantee an interview if you meet the essential criteria of the job. If you are invited for interview, you will be asked if you need any reasonable adjustments in order to attend, and we will make these wherever possible. We reserve the right to extend or close this vacancy early without warning subject to the volume of suitable applicants.
22/06/2026
Full time
Lead Software Engineer WCC624412 Salary range: £83,448 - £98,472 per annum. Salary negotiable depending upon experience. Work location: Westminster City Hall,64 Victoria Street, Westminster, SW1E 6QP Hours per week: 36 Contract type: Temporary up to 18 months Vetting requirements: Basic DBS Check Closing date: 13 July 2026 About Us: THE EXTRAORDINARY STORY OF 809 CONNECTED BUSINESSES Digital and Innovation in Westminster City Council is a world of extraordinary stories, where creative and enterprising people put local residents and businesses first. Today, Westminster is the most connected borough in London. But, when David joined us in the mid-2010s, small businesses were still struggling to get connected to fibre. Without gigabit-capable broadband, some companies even resorted to biking memory sticks around the city, simply to share files with clients. Although still in a junior role, David took the initiative and successfully made the business case for £2.8 million of European funding to support connectivity for small businesses across Westminster. Feedback from businesses has been overwhelmingly positive as the project has enhanced their communications with clients. The new connectivity allows them to make video calls and work remotely. As the pandemic hit and many more people needed to work from home, it became clear just how vital this investment had been. Fast-forward a few years. Westminster is leading the way for connectivity, as a result of the project businesses are thriving, and David is heading up a service of his own responsible for delivery of the Smart City strategy. The Role: As a Lead Software Engineer, you can make your own powerful contribution to people across Westminster. Joining the council's newly established AI Innovation Hub, you'll act as the senior technical authority for AI agents - owning the most complex agent builds, setting the patterns the rest of the organisation follows, and running the Agent Ops operating model that keeps the council's agent estate safe. Your day-to-day will be varied and dynamic, including everything from designing resident-facing assistants and internal staff productivity agents, to responding to incidents and ensuring governance processes are followed. Acting as a mentor to less technical agent builders, you'll raise the technical floor across the organisation, building community, sharing knowledge and supporting council teams to harness AI to deliver better outcomes for residents. An established professional with demonstrable experience designing and delivering AI agents or AI-enabled automation in a production setting, you'll bring hands on experience of Microsoft Copilot Studio and the Power Platform. You may have worked in a complex or regulated organisation in the past, and will be confident monitoring and evaluating AI agents, controlling cost, responding to incidents and applying an AgentOps style lifecycle. You'll also have a strong understanding of the following: Agentic patterns. Prompt design, scripting and programming for integration and automation. AI safety, Responsible AI, prompt injection defences, data governance and privacy. APIs, JSON/XML, OAuth, Microsoft Graph, custom connectors, and Dataverse data modelling. As a leader, you'll be motivating and supportive, setting a high bar that inspires others to learn, grow and develop their own skillsets. On a personal level, you'll have the ability to communicate technical concepts to non technical audiences, strong problem solving and analytical skills and a commitment to user centred design and inclusive service delivery. This is a fantastic opportunity to join an innovative, supportive team, and to supercharge your career in the process. Westminster City Council is committed to supporting Care Leavers into the workplace. Care Leavers seeking their first job and who wish to be considered under our scheme, will automatically be invited to interview should they meet the essential criteria for the role. The Council is committed to achieving diverse shortlists to support our desire to increase the number of staff from under represented groups in our workforce. We especially encourage applications from a Global Majority (GM), people who are Black, Asian, Brown, dual heritage, indigenous to the global south, and or have been racialised as 'ethnic minorities' (formally known as B.A.M.E, Black, Asian and multiple ethnic) background and, while the role is open to all applicants, we will utilise the positive action provisions of the Equality Act 2010 to appoint a candidate from a global majority background where there is a choice between two candidates of equal merit. If you are from a Global Majority background you can self declare this to the hiring manager as part of our positive action commitments. What We Offer: Westminster is an amazing place. We are home to more than 200,000 residents from all backgrounds, over 50,000 vibrant and vital businesses and three quarters of a million people work in Westminster. Westminster City Council is one in which our communities are at the heart of our decision making and help to determine the city's future. By working directly with our communities and other partners, we can build a more inclusive city that celebrates our diverse communities, and where residents, workers and visitors from all backgrounds will feel welcome and safe. At Westminster City Council, we pride ourselves on being an inclusive workplace and employer of choice. We encourage and welcome applications from people from all backgrounds and aim to have a workforce that, at all levels, represents the communities we serve. We champion equality, diversity, inclusion and wellbeing and aim to create a workplace where everyone feels valued, has a sense of belonging and is empowered to be their best, that is Our Westminster Way. To find out more about how we do this visit and-social care/ As a forward thinking Council we appreciate that people work in different ways, therefore our staff benefit from working a range of flexible working patterns as well as Agile working. The Council is a Disability Confident Employer. If you have declared a disability in your application, we guarantee an interview if you meet the essential criteria of the job. If you are invited for interview, you will be asked if you need any reasonable adjustments in order to attend, and we will make these wherever possible. We reserve the right to extend or close this vacancy early without warning subject to the volume of suitable applicants.
Senior Data Scientist - Relay Network
relaytech.co
Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. THE TEAM 110 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation About the role Relay's network runs on forecasts. Every shift released in sortation, every middle-mile van dispatched, every last-mile route planned, every expansion decision made - all downstream of models that predict how parcels move through our system. When those models are right, the network runs efficiently and cost per parcel drops. When they drift, the cost compounds across every stage of the operation. The Network squad builds and maintains the forecasting engine that powers all of it. As a Senior Data Scientist in the Network squad, you will lead a core domain within that engine, working alongside other Data Scientists and Analysts who each bring different expertise. The scope spans demand forecasting, expansion modelling, parcel intelligence, and sortation predictions - and the specific domain you take on will depend on your strengths and what the squad needs most. What's common across all of it: you will build and maintain models that directly drive operational decisions for multiple teams across Relay, every day. This means different things depending on the domain. It might mean building the expansion models that determine where Relay grows next: which outcodes to enter, how volumes ramp in new areas, and how the pitstop network should evolve. It might mean working on the dimensions model that predicts parcel weights and sizes before they arrive, feeding route planning and vehicle loading decisions. It might mean extending the demand forecast horizon from 7 days toward 30, giving downstream teams more lead time to plan. Or it might mean improving the predictions that determine what volume is available to sort on a given night, and how that volume should be allocated across sort centres. Relay operates a centralised data team of around 30 Data Engineers, Analysts, and Data Scientists, with specialists embedded into squads across the business. You will sit in the Network squad alongside other Data Scientists and Analysts, reporting into the centralised data team. The squad is growing, and you will have significant influence over its technical direction and the modelling approaches it adopts. You will be supported by Analysts who build the monitoring and reporting layer, and a squad lead who sets strategic direction. What You'll Do Build and maintain forecasting models within your domain - from initial exploration through to validation and production deployment Learn the operational processes your models serve, supported by the squad and the teams who use the forecasts, and identify where the current approach falls short Monitor how your models perform in production, investigate when accuracy drops, and work with the squad to improve them Contribute to methodology decisions and validation approaches, working with other Data Scientists in the squad to improve the forecasting engine over time Translate problems from consuming squads into data science problems - Sortation, Middle Mile, Last Mile, Routing, and Commercial each depend on Network's forecasts Work with Finance, who extend the operational forecasts into longer-range financial projections, to ensure the handoff between operational and financial models is reliable Quantify the impact of model errors on cost per parcel, helping the squad and stakeholders prioritise where to invest effort Influence the squad's technical direction and modelling approaches as the team grows Who Will Thrive in This Role? Experience thinking about interconnected systems - understanding that a demand forecast isn't just a number, but flows through shift release, van dispatch, route planning, and courier allocation. You're interested in how your models connect to the models around them. A track record of building and delivering models. You've worked from ambiguous starting points before - understanding the problem, building something useful, validating it against real operations, and iterating. You evaluate models beyond standard offline metrics - connecting outputs to downstream applications and business KPIs, and measuring how improvements translate into operational impact. The squad works collaboratively to define priorities and scope, and you'll have support from the squad lead and your peers as you ramp up Strong Python and SQL, and comfort working across the modelling lifecycle - from data extraction and feature engineering through to model training, validation, and production deployment. You've worked with time-series forecasting methods - whether classical statistical approaches, gradient boosting, deep learning, or a combination - and you understand the trade-offs between them. Experience with data engineering is useful, and you'll be supported by a dedicated engineer in the squad. You have at least 5 years of experience in a data science or quantitative modelling role, with examples of models you built that informed operational or commercial decisions. You've taken models from notebook to production - writing maintainable code, building pipelines that run reliably, and debugging when they don't. You've contributed to methodology decisions and understand that a model isn't done when it trains well; it's done when it's running, monitored, and trusted. You have experience communicating with non-technical stakeholders. The squads that consume the forecasts need to trust them, and that trust comes from explaining what the models do, where they're reliable, and where they're not. You're comfortable using AI tools - LLMs, code assistants, and similar - to accelerate your workflow, from exploratory analysis to code generation, and you're curious about where these tools can augment the modelling process itself. This role suits someone who wants to see whether their models made a real difference to how the network operates - there is a direct feedback loop between your work and operational outcomes. Logistics or delivery network experience is a plus, but what matters more is the ability to learn a complex operational domain quickly and model it well. Compensation, Benefits & Workplace Generous equity, richer than 99% of European startups, with annual top-ups to share Relay's success. Private health & dental coverage, so comprehensive you'd need to be a partner at a Magic Circle law firm to match it. 25 days of holidays Enhanced parental leave. Located in Shoreditch, our office set-up enables the kind of in-person interactions that drive impact. We work 4 days on-site, with 1 day remote. Hardware of your choice. Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more). Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
22/06/2026
Full time
Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. THE TEAM 110 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation About the role Relay's network runs on forecasts. Every shift released in sortation, every middle-mile van dispatched, every last-mile route planned, every expansion decision made - all downstream of models that predict how parcels move through our system. When those models are right, the network runs efficiently and cost per parcel drops. When they drift, the cost compounds across every stage of the operation. The Network squad builds and maintains the forecasting engine that powers all of it. As a Senior Data Scientist in the Network squad, you will lead a core domain within that engine, working alongside other Data Scientists and Analysts who each bring different expertise. The scope spans demand forecasting, expansion modelling, parcel intelligence, and sortation predictions - and the specific domain you take on will depend on your strengths and what the squad needs most. What's common across all of it: you will build and maintain models that directly drive operational decisions for multiple teams across Relay, every day. This means different things depending on the domain. It might mean building the expansion models that determine where Relay grows next: which outcodes to enter, how volumes ramp in new areas, and how the pitstop network should evolve. It might mean working on the dimensions model that predicts parcel weights and sizes before they arrive, feeding route planning and vehicle loading decisions. It might mean extending the demand forecast horizon from 7 days toward 30, giving downstream teams more lead time to plan. Or it might mean improving the predictions that determine what volume is available to sort on a given night, and how that volume should be allocated across sort centres. Relay operates a centralised data team of around 30 Data Engineers, Analysts, and Data Scientists, with specialists embedded into squads across the business. You will sit in the Network squad alongside other Data Scientists and Analysts, reporting into the centralised data team. The squad is growing, and you will have significant influence over its technical direction and the modelling approaches it adopts. You will be supported by Analysts who build the monitoring and reporting layer, and a squad lead who sets strategic direction. What You'll Do Build and maintain forecasting models within your domain - from initial exploration through to validation and production deployment Learn the operational processes your models serve, supported by the squad and the teams who use the forecasts, and identify where the current approach falls short Monitor how your models perform in production, investigate when accuracy drops, and work with the squad to improve them Contribute to methodology decisions and validation approaches, working with other Data Scientists in the squad to improve the forecasting engine over time Translate problems from consuming squads into data science problems - Sortation, Middle Mile, Last Mile, Routing, and Commercial each depend on Network's forecasts Work with Finance, who extend the operational forecasts into longer-range financial projections, to ensure the handoff between operational and financial models is reliable Quantify the impact of model errors on cost per parcel, helping the squad and stakeholders prioritise where to invest effort Influence the squad's technical direction and modelling approaches as the team grows Who Will Thrive in This Role? Experience thinking about interconnected systems - understanding that a demand forecast isn't just a number, but flows through shift release, van dispatch, route planning, and courier allocation. You're interested in how your models connect to the models around them. A track record of building and delivering models. You've worked from ambiguous starting points before - understanding the problem, building something useful, validating it against real operations, and iterating. You evaluate models beyond standard offline metrics - connecting outputs to downstream applications and business KPIs, and measuring how improvements translate into operational impact. The squad works collaboratively to define priorities and scope, and you'll have support from the squad lead and your peers as you ramp up Strong Python and SQL, and comfort working across the modelling lifecycle - from data extraction and feature engineering through to model training, validation, and production deployment. You've worked with time-series forecasting methods - whether classical statistical approaches, gradient boosting, deep learning, or a combination - and you understand the trade-offs between them. Experience with data engineering is useful, and you'll be supported by a dedicated engineer in the squad. You have at least 5 years of experience in a data science or quantitative modelling role, with examples of models you built that informed operational or commercial decisions. You've taken models from notebook to production - writing maintainable code, building pipelines that run reliably, and debugging when they don't. You've contributed to methodology decisions and understand that a model isn't done when it trains well; it's done when it's running, monitored, and trusted. You have experience communicating with non-technical stakeholders. The squads that consume the forecasts need to trust them, and that trust comes from explaining what the models do, where they're reliable, and where they're not. You're comfortable using AI tools - LLMs, code assistants, and similar - to accelerate your workflow, from exploratory analysis to code generation, and you're curious about where these tools can augment the modelling process itself. This role suits someone who wants to see whether their models made a real difference to how the network operates - there is a direct feedback loop between your work and operational outcomes. Logistics or delivery network experience is a plus, but what matters more is the ability to learn a complex operational domain quickly and model it well. Compensation, Benefits & Workplace Generous equity, richer than 99% of European startups, with annual top-ups to share Relay's success. Private health & dental coverage, so comprehensive you'd need to be a partner at a Magic Circle law firm to match it. 25 days of holidays Enhanced parental leave. Located in Shoreditch, our office set-up enables the kind of in-person interactions that drive impact. We work 4 days on-site, with 1 day remote. Hardware of your choice. Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more). Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
Staff Software Engineer, Frontend
P2P
At Ripple, we're building a world where value moves like information does today. It's big, it's bold, and we're already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you're ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. The Work As a Staff Engineer, Front End, you will be working on Palisade - Ripple's flagship wallet as a service platform enabling businesses, fintechs and banks to build digital asset treasury, payment and exchange use-cases. What you'll do Modern React expertise: You have solid experience building responsive web applications using ReactJS and TypeScript. You are comfortable with hooks, context, and state management. Form handling: You have experience building complex forms and implementing robust validation logic. You know how to make data entry easy for the user while ensuring data integrity. Styling proficiency: You have a knack for creating polished UIs. Experience with Styled Components is a major plus, but ultimately, you know how to translate designs into pixel-perfect reality. User-obsessed mindset: You don't just write code; you build products. You are passionate about the User Experience (UX). Experience with Figma or similar design tools is a plus, helping you bridge the gap between design and engineering. Clean code philosophy: You care deeply about the quality of your craft. You strive for simplicity, strictly adhere to DRY (Don't Repeat Yourself) principles, and write code that is readable and maintainable. Collaborative spirit: You are a genuine team player who thrives in a collaborative environment. You communicate clearly, welcome code reviews, and enjoy solving problems with your peers. Testing culture: You believe that code isn't complete until it's verified. Experience with testing frameworks (like Jest or Cypress) is highly valued to ensure reliability. Performance focus: You understand that a slow app is a bad UX. You keep performance in mind from the start, optimizing for load times, bundle sizes, and smooth rendering. Smart tooling usage: You leverage the right tools for the job-including AI assistants-to be efficient, but you are transparent about their use. You verify every output, ensuring that you maintain full understanding and ownership of the code you ship. Industry interest: While not required, previous experience in Web3, blockchain, or fintech is considered a plus. What You'll Bring Proven track record of building and delivering backend systems from development to production Hands-on experience working on large-scale distributed systems Familiarity with event-driven micro-services, Kubernetes, and cloud-based infrastructure Familiarity with gRPC and protocol buffers Ability to work in a fast-paced start-up environment and be a core contributor to the success of the company A self-starter that thrives on autonomy and can see a task through from start to finish A positive attitude with a passion for acquiring and sharing knowledgeWeb3, blockchain, and fintech experience are a plus Benefits Benefits listed above are for full-time employees. Take Control of Your Finances Competitive salary, bonuses, and equity Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support Employee giving match Mobile phone stipend Take Care of Yourself R&R days so you can rest and recharge Generous wellness reimbursement and weekly onsite & virtual programming Generous vacation policy - work with your manager to take time off when you need it Industry-leading parental leave policies. Family planning benefits. Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events Ripple is an Equal Opportunity Employer. We're committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.
21/06/2026
Full time
At Ripple, we're building a world where value moves like information does today. It's big, it's bold, and we're already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you're ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. The Work As a Staff Engineer, Front End, you will be working on Palisade - Ripple's flagship wallet as a service platform enabling businesses, fintechs and banks to build digital asset treasury, payment and exchange use-cases. What you'll do Modern React expertise: You have solid experience building responsive web applications using ReactJS and TypeScript. You are comfortable with hooks, context, and state management. Form handling: You have experience building complex forms and implementing robust validation logic. You know how to make data entry easy for the user while ensuring data integrity. Styling proficiency: You have a knack for creating polished UIs. Experience with Styled Components is a major plus, but ultimately, you know how to translate designs into pixel-perfect reality. User-obsessed mindset: You don't just write code; you build products. You are passionate about the User Experience (UX). Experience with Figma or similar design tools is a plus, helping you bridge the gap between design and engineering. Clean code philosophy: You care deeply about the quality of your craft. You strive for simplicity, strictly adhere to DRY (Don't Repeat Yourself) principles, and write code that is readable and maintainable. Collaborative spirit: You are a genuine team player who thrives in a collaborative environment. You communicate clearly, welcome code reviews, and enjoy solving problems with your peers. Testing culture: You believe that code isn't complete until it's verified. Experience with testing frameworks (like Jest or Cypress) is highly valued to ensure reliability. Performance focus: You understand that a slow app is a bad UX. You keep performance in mind from the start, optimizing for load times, bundle sizes, and smooth rendering. Smart tooling usage: You leverage the right tools for the job-including AI assistants-to be efficient, but you are transparent about their use. You verify every output, ensuring that you maintain full understanding and ownership of the code you ship. Industry interest: While not required, previous experience in Web3, blockchain, or fintech is considered a plus. What You'll Bring Proven track record of building and delivering backend systems from development to production Hands-on experience working on large-scale distributed systems Familiarity with event-driven micro-services, Kubernetes, and cloud-based infrastructure Familiarity with gRPC and protocol buffers Ability to work in a fast-paced start-up environment and be a core contributor to the success of the company A self-starter that thrives on autonomy and can see a task through from start to finish A positive attitude with a passion for acquiring and sharing knowledgeWeb3, blockchain, and fintech experience are a plus Benefits Benefits listed above are for full-time employees. Take Control of Your Finances Competitive salary, bonuses, and equity Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support Employee giving match Mobile phone stipend Take Care of Yourself R&R days so you can rest and recharge Generous wellness reimbursement and weekly onsite & virtual programming Generous vacation policy - work with your manager to take time off when you need it Industry-leading parental leave policies. Family planning benefits. Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events Ripple is an Equal Opportunity Employer. We're committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.
Product Business Analyst
Sivara GmbH
Salary: £? - ? per year Requirements 10+ years of experience as a Business Analyst in London Market insurance 10+ years of experience as a Business Analyst within London Market insurance Experience analysing insurance products or product documentation Strong analytical and documentation skills Experience working with underwriting or product development teams Strong understanding of specialty/commercial insurance operations Experience documenting underwriting and policy servicing processes to L2/L3 detail Previous involvement in PAS transformations or Guidewire programmes Understanding of Lloyds and company market operating models Exposure to Guidewire implementations Specialty insurance product understanding Ability to analyse complex product variations Strong Excel and data structuring capability Workshop support and stakeholder coordination skills Responsibilities Support our clients Product Rationalisation workstream by analysing and structuring existing insurance products across the European business to create a simplified, system-ready product model for Guidewire PolicyCenter Identify and catalogue all in-scope European products across classes Gather product documentation, including product definitions, coverage structures, rating sheets, underwriting guidelines and policy forms Create a structured product inventory register Analyse existing products to identify duplicate or overlapping products, variations across jurisdictions, coverage structure differences, optional extensions and endorsements, and regulatory-driven variations Support the client in distinguishing true product differences from parameter variations Assist the client, Product Owner and client BAs in grouping products into product families, defining core products and variants, identifying opportunities for standardisation, and reducing unnecessary product proliferation Develop structured documentation including product definition templates, coverage structure diagrams, product comparison matrices and product rationalisation analysis packs Support product rationalisation workshops by preparing analysis materials, documenting decisions and action items, maintaining rationalisation trackers and preparing decision summaries for Product Owner review Work with the Guidewire functional architect to ensure product definitions align with Guidewire product model structures, coverage patterns, rating structures and rules configuration Facilitate workshops with underwriters, underwriting assistants, operations teams, product owners and SMEs across London Market specialty lines Define end-to-end underwriting and policy administration journeys including submission intake, quote, referral, bind, endorsements / MTAs, renewals, cancellation, reinstatement, mid-term servicing, broker interactions, document production and bordereaux / delegated authority touchpoints Produce L1/L2/L3 process maps, user journeys, swimlane workflows, pain point analysis, functional requirements, epics, features and user stories Technologies Architect Excel Support Product Owner More We are supporting a London-based role focused on product rationalisation and underwriting process analysis across the European and London Market insurance environment. The role works closely with product owners, underwriters, operations teams, SMEs and a Guidewire functional architect to create structured product documentation and align business processes and product definitions with Guidewire PolicyCenter. The working model is 2-3 days per week onsite in London, with the remaining days remote.
21/06/2026
Full time
Salary: £? - ? per year Requirements 10+ years of experience as a Business Analyst in London Market insurance 10+ years of experience as a Business Analyst within London Market insurance Experience analysing insurance products or product documentation Strong analytical and documentation skills Experience working with underwriting or product development teams Strong understanding of specialty/commercial insurance operations Experience documenting underwriting and policy servicing processes to L2/L3 detail Previous involvement in PAS transformations or Guidewire programmes Understanding of Lloyds and company market operating models Exposure to Guidewire implementations Specialty insurance product understanding Ability to analyse complex product variations Strong Excel and data structuring capability Workshop support and stakeholder coordination skills Responsibilities Support our clients Product Rationalisation workstream by analysing and structuring existing insurance products across the European business to create a simplified, system-ready product model for Guidewire PolicyCenter Identify and catalogue all in-scope European products across classes Gather product documentation, including product definitions, coverage structures, rating sheets, underwriting guidelines and policy forms Create a structured product inventory register Analyse existing products to identify duplicate or overlapping products, variations across jurisdictions, coverage structure differences, optional extensions and endorsements, and regulatory-driven variations Support the client in distinguishing true product differences from parameter variations Assist the client, Product Owner and client BAs in grouping products into product families, defining core products and variants, identifying opportunities for standardisation, and reducing unnecessary product proliferation Develop structured documentation including product definition templates, coverage structure diagrams, product comparison matrices and product rationalisation analysis packs Support product rationalisation workshops by preparing analysis materials, documenting decisions and action items, maintaining rationalisation trackers and preparing decision summaries for Product Owner review Work with the Guidewire functional architect to ensure product definitions align with Guidewire product model structures, coverage patterns, rating structures and rules configuration Facilitate workshops with underwriters, underwriting assistants, operations teams, product owners and SMEs across London Market specialty lines Define end-to-end underwriting and policy administration journeys including submission intake, quote, referral, bind, endorsements / MTAs, renewals, cancellation, reinstatement, mid-term servicing, broker interactions, document production and bordereaux / delegated authority touchpoints Produce L1/L2/L3 process maps, user journeys, swimlane workflows, pain point analysis, functional requirements, epics, features and user stories Technologies Architect Excel Support Product Owner More We are supporting a London-based role focused on product rationalisation and underwriting process analysis across the European and London Market insurance environment. The role works closely with product owners, underwriters, operations teams, SMEs and a Guidewire functional architect to create structured product documentation and align business processes and product definitions with Guidewire PolicyCenter. The working model is 2-3 days per week onsite in London, with the remaining days remote.
Enforcement Lawyer - Specialist in Data Management / Policy
The Endorsement Board
The Financial Reporting Council's (FRC's) purpose is to serve the public interest and support UK economic growth by upholding high standards of corporate governance, corporate reporting, audit and actuarial work. We are the UK Competent Authority for audit. We also set the UK Corporate Governance and Stewardship Codes as well as UK standards for accounting, auditing, and actuarial work. We monitor and take enforcement action to promote the quality of corporate reporting and operate independent enforcement arrangements for accountants and actuaries. Further information about our work can be found at . The FRC's Enforcement Division is the independent disciplinary body for the accountancy and actuarial professions in the UK. It undertakes complex professional disciplinary investigations and prosecutions in cases involving accountants, accountancy firms and actuaries which raise important issues affecting the public interest in the UK. Many of the investigations are large, complex, and high profile and our cases regularly require liaison with other investigators including the Serious Fraud Office, the Financial Conduct Authority, the Insolvency Service, and the Pensions Regulator. Examples of our recent case outcomes can be found here. More information on the work of the Division can be found in our Annual Enforcement Review. The Role: Assisting the Enforcement Division's Information Asset Owner and data management team with the provision of, and contributing your own, high quality, practical legal advice and analysis on data management and related policy considerations, within the context of supporting Case Lawyers and multi disciplinary case teams to deliver complex regulatory investigations. Supporting the development and implementation of the Enforcement Division's data management policy and strategy and ensure its compliance with all applicable data protection laws and regulations (including UK GDPR, the DPA, FOIA, other legislation and regulations specific to the FRC's work and the common law). Understanding and demonstrating best practice in complying with applicable laws, regulations and internal policies for the protection of personal, confidential and/or sensitive data. Supporting workstreams to implement updates to the Enforcement Division's suite of policies and procedures on data management and related topics. Drafting practical advice and guidance for Enforcement case teams on data management and related topics arising from new and proposed legislative changes as well as developing good practice. Engaging with and working alongside lawyers from the FRC's Legal Services Team and the FRC's IT experts as and when required. Engaging with Government Departments, other regulators and other agencies on legal and policy issues relating to data management as required. Preparing and delivering training and presentations to Enforcement team members. Supporting with instructing specialist counsel to advise on legal questions relating to data management of high complexity or risk. You will work as part of a multi disciplinary team, alongside forensic accountants, lawyers, and legal assistants on data management and related policy issues in the context of supporting the delivery of complex regulatory investigations. The role is accountable to the Enforcement division's Information Asset Owner, the Senior Policy Lawyer and the Senior Leadership team. The role will also involve collaboration and engagement with colleagues in many of the FRC's other Divisions including the Legal Services Team. The post holder should be able to work flexibly to support the team's activities and also provide cover within the FRC as necessary. The FRC operates a hybrid working arrangement. This means full time employees will spend at least four days per fortnight in the office, pro rata for part time employees, and any arrangement will be agreed between the employee and their line manager. The role may be based in either our London or Birmingham Office. Some travel to our other office location may be required from time to time. The Person: The successful candidate must be a solicitor or barrister fully qualified to practise in England and Wales (or other Common Law jurisdiction with demonstrable, relevant experience in the UK) with proven experience (typically in excess of two years) of advising on laws and regulations for the protection of personal, confidential and/or sensitive data (including UK GDPR, the DPA, FOIA, other jurisdiction specific legislation and regulations and the common law) as well as best practice in complying with the same. They will have sound knowledge of current issues and trends in the field and experience of completing, and best practice for, data impact assessments and responding to FOIA requests and SARs. Preferably this experience will have been gained within the context of working within a division or team carrying out law enforcement or regulatory investigations. Alternatively, it is desirable for candidates to have previous experience working or acting for a prosecuting authority, regulator or disciplinary body with an enforcement/investigation function, in addition to experience of providing legal advice in respect of applicable data protection laws and regulations. Candidates will be expected to demonstrate the following competencies: Excellent legal and technical skills in the areas outlined above Excellent analytical skills and judgement Ability to support organisations in robustly evaluating and addressing data management risks in an enforcement / investigation context Excellent written and oral communication and interpersonal skills, including ability to communicate clearly with a range of internal and external parties and credibility to engage with senior professionals Ability to collaborate effectively in a multi disciplinary environment, with colleagues and stakeholders at all levels to deliver effective solutions Determination and self motivation to pursue matters, make well reasoned suggestions and propose solutions Effective project management and organisational skills including an ability to work well under pressure and to deadlines Strong legal research skills and excellent IT skills
21/06/2026
Full time
The Financial Reporting Council's (FRC's) purpose is to serve the public interest and support UK economic growth by upholding high standards of corporate governance, corporate reporting, audit and actuarial work. We are the UK Competent Authority for audit. We also set the UK Corporate Governance and Stewardship Codes as well as UK standards for accounting, auditing, and actuarial work. We monitor and take enforcement action to promote the quality of corporate reporting and operate independent enforcement arrangements for accountants and actuaries. Further information about our work can be found at . The FRC's Enforcement Division is the independent disciplinary body for the accountancy and actuarial professions in the UK. It undertakes complex professional disciplinary investigations and prosecutions in cases involving accountants, accountancy firms and actuaries which raise important issues affecting the public interest in the UK. Many of the investigations are large, complex, and high profile and our cases regularly require liaison with other investigators including the Serious Fraud Office, the Financial Conduct Authority, the Insolvency Service, and the Pensions Regulator. Examples of our recent case outcomes can be found here. More information on the work of the Division can be found in our Annual Enforcement Review. The Role: Assisting the Enforcement Division's Information Asset Owner and data management team with the provision of, and contributing your own, high quality, practical legal advice and analysis on data management and related policy considerations, within the context of supporting Case Lawyers and multi disciplinary case teams to deliver complex regulatory investigations. Supporting the development and implementation of the Enforcement Division's data management policy and strategy and ensure its compliance with all applicable data protection laws and regulations (including UK GDPR, the DPA, FOIA, other legislation and regulations specific to the FRC's work and the common law). Understanding and demonstrating best practice in complying with applicable laws, regulations and internal policies for the protection of personal, confidential and/or sensitive data. Supporting workstreams to implement updates to the Enforcement Division's suite of policies and procedures on data management and related topics. Drafting practical advice and guidance for Enforcement case teams on data management and related topics arising from new and proposed legislative changes as well as developing good practice. Engaging with and working alongside lawyers from the FRC's Legal Services Team and the FRC's IT experts as and when required. Engaging with Government Departments, other regulators and other agencies on legal and policy issues relating to data management as required. Preparing and delivering training and presentations to Enforcement team members. Supporting with instructing specialist counsel to advise on legal questions relating to data management of high complexity or risk. You will work as part of a multi disciplinary team, alongside forensic accountants, lawyers, and legal assistants on data management and related policy issues in the context of supporting the delivery of complex regulatory investigations. The role is accountable to the Enforcement division's Information Asset Owner, the Senior Policy Lawyer and the Senior Leadership team. The role will also involve collaboration and engagement with colleagues in many of the FRC's other Divisions including the Legal Services Team. The post holder should be able to work flexibly to support the team's activities and also provide cover within the FRC as necessary. The FRC operates a hybrid working arrangement. This means full time employees will spend at least four days per fortnight in the office, pro rata for part time employees, and any arrangement will be agreed between the employee and their line manager. The role may be based in either our London or Birmingham Office. Some travel to our other office location may be required from time to time. The Person: The successful candidate must be a solicitor or barrister fully qualified to practise in England and Wales (or other Common Law jurisdiction with demonstrable, relevant experience in the UK) with proven experience (typically in excess of two years) of advising on laws and regulations for the protection of personal, confidential and/or sensitive data (including UK GDPR, the DPA, FOIA, other jurisdiction specific legislation and regulations and the common law) as well as best practice in complying with the same. They will have sound knowledge of current issues and trends in the field and experience of completing, and best practice for, data impact assessments and responding to FOIA requests and SARs. Preferably this experience will have been gained within the context of working within a division or team carrying out law enforcement or regulatory investigations. Alternatively, it is desirable for candidates to have previous experience working or acting for a prosecuting authority, regulator or disciplinary body with an enforcement/investigation function, in addition to experience of providing legal advice in respect of applicable data protection laws and regulations. Candidates will be expected to demonstrate the following competencies: Excellent legal and technical skills in the areas outlined above Excellent analytical skills and judgement Ability to support organisations in robustly evaluating and addressing data management risks in an enforcement / investigation context Excellent written and oral communication and interpersonal skills, including ability to communicate clearly with a range of internal and external parties and credibility to engage with senior professionals Ability to collaborate effectively in a multi disciplinary environment, with colleagues and stakeholders at all levels to deliver effective solutions Determination and self motivation to pursue matters, make well reasoned suggestions and propose solutions Effective project management and organisational skills including an ability to work well under pressure and to deadlines Strong legal research skills and excellent IT skills
Amazon
Data Scientist II, RufusX Science UK
Amazon Coventry, Warwickshire
Job ID: Amazon Development Centre (London) Limited We are looking for a passionate, talented, and inventive Data Scientist with a strong machine learning and analytics background to help build industry leading language technology powering Rufus, our AI driven search and shopping assistant, helping customers with their shopping tasks at every step of their shopping journey. This innovative role focuses on developing conversation based, multimodal shopping experiences, utilizing data analysis, statistical modeling, machine learning technologies, and experimentation to drive product decisions and optimize customer experiences. Our mission in conversational shopping is to make it easy for customers to find and discover the best products to meet their needs by helping with their product research, providing comparisons and recommendations, answering product questions, enabling shopping directly from images or videos, providing visual inspiration, and more. We do this by leveraging advanced analytics, Natural Language Processing (NLP), Machine Learning (ML), A/B testing, causal inference, and data driven insights to continuously improve our systems. Key Job Responsibilities As a Data Scientist, you will be responsible for the analysis, modeling, and optimization of AI technologies that will shape the future of shopping experiences. You will play a critical role in measuring and improving multimodal conversational systems, in particular those based on large language models, information retrieval, recommender systems and knowledge graphs, to be tailored to customer needs. You will handle Amazon scale use cases with significant impact on our customers' experiences. You will collaborate with scientists, engineers, and product partners locally and abroad. Your work will include designing experiments, analyzing results, and launching new features, products and systems. Perform hands on analysis and modeling of enormous multimodal datasets to develop insights into how to best help customers throughout their shopping journeys. Use statistical methods, machine learning, and data mining techniques to create scalable solutions for measuring and optimizing shopping assistant systems based on a rich set of structured and unstructured contextual signals. Design and analyze A/B tests and experiments to evaluate new features and model improvements, ensuring statistical rigor and actionable insights. Develop metrics, dashboards, and reporting frameworks to monitor system performance, customer engagement, and business impact. Build predictive models and conduct deep dive analyses to identify opportunities for improving customer experience, conversion, and satisfaction. Collaborate with Applied Scientists and Engineers to translate analytical insights into production systems, working closely on model evaluation and deployment. Establish automated processes for large scale data analysis, ETL pipelines, metric generation, and experimentation frameworks. Communicate results and insights to both technical and non technical audiences, including through presentations, written reports, and data visualizations. About the Team The Rufus Features Science team, based in London, works alongside 150 engineers, designers and product managers, shaping the future of AI driven shopping experiences at Amazon. The team works on every aspect of the Rufus AI, from making Rufus agentic, enabling customers to set price alerts or empower Rufus to act on their behalf and automatically purchase products when the price is right, to understanding multimodal user queries and generating answers that combine text, image, audio and video, including deep research reports that scour the web and the Amazon catalog to provide detailed and personalised shopping guidance. We utilize and advance state of the art techniques in the fields of Natural Language Processing, generative AI, Information Retrieval, Machine/Deep Learning, and Data Mining. We validate our work by actively participating in the internal and external scientific communities. Basic Qualifications Experience with machine learning, statistical modeling, data analysis tools and techniques, and parameters that affect their performance. Experience in a machine learning or data scientist role with a large technology company. Experience with data scripting languages (SQL, Python, R, etc.) or statistical/mathematical software (R, SAS, or Matlab). Experience effectively communicating complex concepts through written and verbal communication. Master's degree or above in Mathematics, Statistics, Computer Science, or related scientific field. Preferred Qualifications Experience with AWS services including S3, Redshift, SageMaker, EMR, Kinesis, Lambda, and EC2. Experience in defining and creating benchmarks for assessing generative AI model performance. Experience working on multi team, cross disciplinary projects. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit to find more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
21/06/2026
Full time
Job ID: Amazon Development Centre (London) Limited We are looking for a passionate, talented, and inventive Data Scientist with a strong machine learning and analytics background to help build industry leading language technology powering Rufus, our AI driven search and shopping assistant, helping customers with their shopping tasks at every step of their shopping journey. This innovative role focuses on developing conversation based, multimodal shopping experiences, utilizing data analysis, statistical modeling, machine learning technologies, and experimentation to drive product decisions and optimize customer experiences. Our mission in conversational shopping is to make it easy for customers to find and discover the best products to meet their needs by helping with their product research, providing comparisons and recommendations, answering product questions, enabling shopping directly from images or videos, providing visual inspiration, and more. We do this by leveraging advanced analytics, Natural Language Processing (NLP), Machine Learning (ML), A/B testing, causal inference, and data driven insights to continuously improve our systems. Key Job Responsibilities As a Data Scientist, you will be responsible for the analysis, modeling, and optimization of AI technologies that will shape the future of shopping experiences. You will play a critical role in measuring and improving multimodal conversational systems, in particular those based on large language models, information retrieval, recommender systems and knowledge graphs, to be tailored to customer needs. You will handle Amazon scale use cases with significant impact on our customers' experiences. You will collaborate with scientists, engineers, and product partners locally and abroad. Your work will include designing experiments, analyzing results, and launching new features, products and systems. Perform hands on analysis and modeling of enormous multimodal datasets to develop insights into how to best help customers throughout their shopping journeys. Use statistical methods, machine learning, and data mining techniques to create scalable solutions for measuring and optimizing shopping assistant systems based on a rich set of structured and unstructured contextual signals. Design and analyze A/B tests and experiments to evaluate new features and model improvements, ensuring statistical rigor and actionable insights. Develop metrics, dashboards, and reporting frameworks to monitor system performance, customer engagement, and business impact. Build predictive models and conduct deep dive analyses to identify opportunities for improving customer experience, conversion, and satisfaction. Collaborate with Applied Scientists and Engineers to translate analytical insights into production systems, working closely on model evaluation and deployment. Establish automated processes for large scale data analysis, ETL pipelines, metric generation, and experimentation frameworks. Communicate results and insights to both technical and non technical audiences, including through presentations, written reports, and data visualizations. About the Team The Rufus Features Science team, based in London, works alongside 150 engineers, designers and product managers, shaping the future of AI driven shopping experiences at Amazon. The team works on every aspect of the Rufus AI, from making Rufus agentic, enabling customers to set price alerts or empower Rufus to act on their behalf and automatically purchase products when the price is right, to understanding multimodal user queries and generating answers that combine text, image, audio and video, including deep research reports that scour the web and the Amazon catalog to provide detailed and personalised shopping guidance. We utilize and advance state of the art techniques in the fields of Natural Language Processing, generative AI, Information Retrieval, Machine/Deep Learning, and Data Mining. We validate our work by actively participating in the internal and external scientific communities. Basic Qualifications Experience with machine learning, statistical modeling, data analysis tools and techniques, and parameters that affect their performance. Experience in a machine learning or data scientist role with a large technology company. Experience with data scripting languages (SQL, Python, R, etc.) or statistical/mathematical software (R, SAS, or Matlab). Experience effectively communicating complex concepts through written and verbal communication. Master's degree or above in Mathematics, Statistics, Computer Science, or related scientific field. Preferred Qualifications Experience with AWS services including S3, Redshift, SageMaker, EMR, Kinesis, Lambda, and EC2. Experience in defining and creating benchmarks for assessing generative AI model performance. Experience working on multi team, cross disciplinary projects. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit to find more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
UniHomes
Lead Salesforce Implementation Specialist
UniHomes Barnsley, Yorkshire
Salesforce Implementation Specialist Sheffield City Centre (office-based and hybrid) Salary: £65,000 - £80,000 UniHomes is hiring a Lead Salesforce Implementation Specialist with Agentforce capability end-to-end as Sales Cloud transitions from a system of record to an agentic platform. Reporting to the Head of CRM, you will lead the Agentforce function at UniHomes - owning design, build, governance, observability and adoption across Sales and Service, and growing a small team around you as the work scales. You will work shoulder-to-shoulder with our Salesforce Implementation Specialist and our AI Product Manager to make sure Agentforce and our broader AI stack pull in the same direction. Above all, you are a change agent. You are energized by the pace of change in this space, you want to be at the front of it rather than catching up to it, and you want to make a real difference to how UniHomes sells, serves and grows. You bring others with you - colleagues, stakeholders, and the wider business - so that Agentforce lands as a step change in how we work, not just another platform rollout. UniHomes is positive about AI and what it can do for our colleagues, our customers and our business - and we want someone who shares that outlook. You bring a can do attitude to it: curious, confident, and quick to find the opportunity rather than the objection. We trust this role to champion AI inside the organisation and to use it, confidently and responsibly, wherever it makes us faster, sharper or better at what we do. Key responsibilities: Own the Agentforce roadmap - what we build, in what order, and how it integrates with the rest of our Salesforce footprint and our AI stack. Lead the design and build of Agentforce agents (Sales, Service, lead generation, qualification, nurturing) using Agent Builder, Prompt Builder, Atlas Reasoning Engine and Data Cloud. Own agent governance: trust layer configuration, audit, evaluation and the policies that keep our agents safe to put in front of customers. Stand up agent observability so we know how agents are performing in production and can iterate quickly. Drive adoption across Sales and Service teams - training, change management and feedback loops. Build and lead a small Agentforce team as the function scales - setting direction, raising the bar on craft, and developing the people in it. Partner with the Salesforce Architect on the underlying platform footprint and with the AI Product Manager on cross business opportunity discovery. Be the accountable owner of Agentforce inside UniHomes - the senior face to stakeholders, to leadership and to Salesforce themselves. Skills and experience: Proven hands on experience designing, building and shipping Agentforce or comparable Salesforce AI capabilities (Einstein, Copilot Studio, similar). Strong Salesforce administration foundations; Salesforce Certified Administrator preferred, Agentforce Specialist or equivalent strongly preferred. Practical experience with Salesforce development (Apex, Flows, Lightning) and AI tooling (prompt design, RAG, evaluation). Comfortable owning a workstream end to end - design, build, governance, adoption and reporting. Excellent communication and stakeholder management; comfortable leading a workstream, growing a team, and influencing peers and senior leaders alike. Track record as a senior IC stepping into leadership, or prior experience leading a small technical team. Pragmatic, outcome driven, and comfortable in an SME pace of decision making. Genuinely positive about AI and what it can do for colleagues, customers and the business - a can do mindset, with the confidence to champion it and bring others with you. Desirable: Experience setting up agent observability tooling. Background in marketplaces, lettings, utilities or consumer facing platforms. What do you get when you work here? Working in our stunning new office at New Era Square in the centre of Sheffield, you will get complimentary breakfast, hot & cold drinks, snacks, pool table, holidays, length of service days, voluntary day, enhanced pension scheme, pension salary sacrifice scheme, healthcare scheme, Employee Assistant Programme, sick pay, enhanced maternity & paternity pay, career progression, a commitment to personal and professional development, employee awards, refer a friend scheme, staff discounts, mental health and financial support, and company social events. We are committed to fostering an inclusive and diverse workplace where everyone can thrive and where individuals are valued for their unique perspectives. We welcome candidates from all backgrounds, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. Please let us know if you require any reasonable adjustments to make the recruitment process more accessible to you. Applicants must already have the permanent and unrestricted right to work in the UK. Unfortunately, we are unable to offer visa sponsorship as we do not hold a sponsor licence.
21/06/2026
Full time
Salesforce Implementation Specialist Sheffield City Centre (office-based and hybrid) Salary: £65,000 - £80,000 UniHomes is hiring a Lead Salesforce Implementation Specialist with Agentforce capability end-to-end as Sales Cloud transitions from a system of record to an agentic platform. Reporting to the Head of CRM, you will lead the Agentforce function at UniHomes - owning design, build, governance, observability and adoption across Sales and Service, and growing a small team around you as the work scales. You will work shoulder-to-shoulder with our Salesforce Implementation Specialist and our AI Product Manager to make sure Agentforce and our broader AI stack pull in the same direction. Above all, you are a change agent. You are energized by the pace of change in this space, you want to be at the front of it rather than catching up to it, and you want to make a real difference to how UniHomes sells, serves and grows. You bring others with you - colleagues, stakeholders, and the wider business - so that Agentforce lands as a step change in how we work, not just another platform rollout. UniHomes is positive about AI and what it can do for our colleagues, our customers and our business - and we want someone who shares that outlook. You bring a can do attitude to it: curious, confident, and quick to find the opportunity rather than the objection. We trust this role to champion AI inside the organisation and to use it, confidently and responsibly, wherever it makes us faster, sharper or better at what we do. Key responsibilities: Own the Agentforce roadmap - what we build, in what order, and how it integrates with the rest of our Salesforce footprint and our AI stack. Lead the design and build of Agentforce agents (Sales, Service, lead generation, qualification, nurturing) using Agent Builder, Prompt Builder, Atlas Reasoning Engine and Data Cloud. Own agent governance: trust layer configuration, audit, evaluation and the policies that keep our agents safe to put in front of customers. Stand up agent observability so we know how agents are performing in production and can iterate quickly. Drive adoption across Sales and Service teams - training, change management and feedback loops. Build and lead a small Agentforce team as the function scales - setting direction, raising the bar on craft, and developing the people in it. Partner with the Salesforce Architect on the underlying platform footprint and with the AI Product Manager on cross business opportunity discovery. Be the accountable owner of Agentforce inside UniHomes - the senior face to stakeholders, to leadership and to Salesforce themselves. Skills and experience: Proven hands on experience designing, building and shipping Agentforce or comparable Salesforce AI capabilities (Einstein, Copilot Studio, similar). Strong Salesforce administration foundations; Salesforce Certified Administrator preferred, Agentforce Specialist or equivalent strongly preferred. Practical experience with Salesforce development (Apex, Flows, Lightning) and AI tooling (prompt design, RAG, evaluation). Comfortable owning a workstream end to end - design, build, governance, adoption and reporting. Excellent communication and stakeholder management; comfortable leading a workstream, growing a team, and influencing peers and senior leaders alike. Track record as a senior IC stepping into leadership, or prior experience leading a small technical team. Pragmatic, outcome driven, and comfortable in an SME pace of decision making. Genuinely positive about AI and what it can do for colleagues, customers and the business - a can do mindset, with the confidence to champion it and bring others with you. Desirable: Experience setting up agent observability tooling. Background in marketplaces, lettings, utilities or consumer facing platforms. What do you get when you work here? Working in our stunning new office at New Era Square in the centre of Sheffield, you will get complimentary breakfast, hot & cold drinks, snacks, pool table, holidays, length of service days, voluntary day, enhanced pension scheme, pension salary sacrifice scheme, healthcare scheme, Employee Assistant Programme, sick pay, enhanced maternity & paternity pay, career progression, a commitment to personal and professional development, employee awards, refer a friend scheme, staff discounts, mental health and financial support, and company social events. We are committed to fostering an inclusive and diverse workplace where everyone can thrive and where individuals are valued for their unique perspectives. We welcome candidates from all backgrounds, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. Please let us know if you require any reasonable adjustments to make the recruitment process more accessible to you. Applicants must already have the permanent and unrestricted right to work in the UK. Unfortunately, we are unable to offer visa sponsorship as we do not hold a sponsor licence.
Lancashire County Council
ADMIN SUPPORT OFFICER
Lancashire County Council Preston, Lancashire
Overview The Governors of Fishwick Primary School are looking to appoint an experienced and enthusiastic Admin Support Assistant from September 2026. Fishwick Primary is a smaller than average school and our very busy office is the heart of the school. We need a friendly and highly motivated Admin Support Officer to support our School Business Support Officer. We are situated in East Preston, with good links to the M6. The area in which our school is set is characterised by a relatively high level of social economic deprivation, but we work hard to actively create a warm, happy atmosphere that enables our children to feel secure and to work towards their individual goals. Essential Experience Experience of providing good customer service Experience of using ICT including Word and Excel Car user Desirable Experience Experience of using SIMS software or other data management system Cash handling Essential Qualifications GCSE English and Maths Grade 4 and above or equivalent Desirable Qualifications Level 2 NVQ in Customer Service or Administration or equivalent Hours of Work 8.30am - 3.30pm Monday - Friday, 32.5 hours per week. Some flexibility may be available for the right candidate. Employment Type Part time, term time only. Salary is quoted on a full time equivalent basis and will be paid on a pro rata basis. Safeguarding The school is committed to safeguarding children and this post is subject to a check by the Disclosure and Barring Service. In line with Keeping Children Safe in Education 2025, an online search will be carried out as part of due diligence on shortlisted candidates. Location Fishwick Primary School, Downing Street, Preston, Lancashire, PR1 4RH (163 on roll) Contact Phone: School website: Equal Opportunities Statement An Equal Opportunities Employer welcoming applications from all sections of the community. Recruitment Information CVs are not accepted. To apply for this vacancy you need to complete the application form attached. The post is covered by the Rehabilitation of Offenders Act 1974 (Exceptions) Order 1975 (as amended in 2013). If successful, you will be required to apply to the Disclosure and Barring Service (DBS) for a disclosure.
21/06/2026
Full time
Overview The Governors of Fishwick Primary School are looking to appoint an experienced and enthusiastic Admin Support Assistant from September 2026. Fishwick Primary is a smaller than average school and our very busy office is the heart of the school. We need a friendly and highly motivated Admin Support Officer to support our School Business Support Officer. We are situated in East Preston, with good links to the M6. The area in which our school is set is characterised by a relatively high level of social economic deprivation, but we work hard to actively create a warm, happy atmosphere that enables our children to feel secure and to work towards their individual goals. Essential Experience Experience of providing good customer service Experience of using ICT including Word and Excel Car user Desirable Experience Experience of using SIMS software or other data management system Cash handling Essential Qualifications GCSE English and Maths Grade 4 and above or equivalent Desirable Qualifications Level 2 NVQ in Customer Service or Administration or equivalent Hours of Work 8.30am - 3.30pm Monday - Friday, 32.5 hours per week. Some flexibility may be available for the right candidate. Employment Type Part time, term time only. Salary is quoted on a full time equivalent basis and will be paid on a pro rata basis. Safeguarding The school is committed to safeguarding children and this post is subject to a check by the Disclosure and Barring Service. In line with Keeping Children Safe in Education 2025, an online search will be carried out as part of due diligence on shortlisted candidates. Location Fishwick Primary School, Downing Street, Preston, Lancashire, PR1 4RH (163 on roll) Contact Phone: School website: Equal Opportunities Statement An Equal Opportunities Employer welcoming applications from all sections of the community. Recruitment Information CVs are not accepted. To apply for this vacancy you need to complete the application form attached. The post is covered by the Rehabilitation of Offenders Act 1974 (Exceptions) Order 1975 (as amended in 2013). If successful, you will be required to apply to the Disclosure and Barring Service (DBS) for a disclosure.
AI Solutions Engineer
Danske Bank Group City, Belfast
AI Solutions Engineer Please note - there is no visa sponsorship available for this role or fully remote working. What would a typical day look like for you? As an AI Solutions Engineer reporting to the Data and Analytics Delivery Manager and working with Data Scientists in both Danske Bank UK and Europe, you'll be a driving force in revolutionising our AI initiatives. You will innovate and deploy leading edge solutions on platforms like MS Azure and AWS, working on knowledge assistants and agents, leveraging the OpenAI and anthropic models, and contributing to proof of concept projects that will shape our ecosystem's future. You'll work on robust AI applications, ensuring seamless integration with CI/CD pipelines, mastering cloud infrastructure by blending AWS with non AWS solutions, and tackling financial services industry challenges head on. You will also collaborate with cross functional teams, including AI teams within the wider Danske Bank organisation, to utilise the pre built infrastructure, driving impactful and dynamic AI projects that deliver bespoke solutions, advancing our strategic goals. What you will do Including but not limited to: Understand organisational and financial services challenges and spearhead how integrating AI capabilities can help lead to successful solutions. Design and implement cloud based solutions, with a focus on deploying AI agents and knowledge bots within the AWS and Microsoft technology stack. Deliver robust software engineering solutions that meet business requirements and enhance system performance. Display strong stakeholder management and influence through consistent collaboration, to understand their needs and translate these into technical requirements for AI solutions. Implement monitoring systems to track performance of AI models in production and perform regular maintenance to ensure reliability and accuracy. Ensuring AI solutions adhere to ethical guidelines and best practices, including fairness, transparency, and accountability. Maintain thorough documentation of AI projects and provide regular reports on progress, challenges, and outcomes to relevant stakeholders. Providing training and mentorship to junior team members and other departments to build AI literacy and capabilities within the organisation. Display strong communication skills by liaising with data scientists, data engineers, and architects. Utilise productivity and organisational skills through timely completion and accuracy of process documentation. Ensure projects are delivered at pace, aligning with the bank's strategic objectives, demonstrating agility and problem solving skills to overcome challenges. What skills & experience will you need? Essential Proven ability to implement infrastructure and models that support key business deliveries and objectives. Ability to adapt to new or emerging technologies and methodologies, demonstrated through ongoing professional development and training. Ability to produce complete and accurate documentation of processes, evaluated through reviews and usage metrics. Ability to foster an environment of continuous improvement, contributing to innovative solutions and initiatives within AI practices aligned to business goals. Experience in enhancing AI model accuracy, efficiency and predictive capabilities, with demonstrable performance metrics. Preferred Bachelor's degree in Computer Science or Software Engineering. Experience deploying AI within AWS and MS Azure. Experience using Docker, Airflow and Openshift. Cloud Certification. Data science model review, code refactoring, model optimisation, containerisation, deployment, versioning, monitoring of model quality and non functional requirements. Your benefits We're offering a competitive salary. We also provide an attractive range of flexible benefits centred on wellness, financial, psychological, physical and social. Everyone's circumstances differ, so benefits can be tailored to your needs. If you want to buy more holidays, need medical treatment, or want to expand your savings, we have options. Non stop discounts, gym membership savings, and salary sacrifice car benefit are also available. How we work Our belief is that we are "Better when Together" and want to balance the benefits of teaming up in person with flexible working where possible. We will be supportive and flexible to your circumstances, so for roles that offer a hybrid option we ask colleagues to attend their base location a minimum of 3 days a week so they can connect, collaborate and learn together. The other 2 days can be worked either from home or another bank location. Some of our roles are customer facing which means that it's really important to be able to work with customers face to face and hybrid working isn't appropriate. Equal opportunity statement Danske Bank is proud to be an equal opportunity workplace. That means that, as a committed equal opportunities employer, we welcome applications from all suitably qualified candidates regardless of gender, ethnicity, background, nationality, generation, age, working style, religious background, sexual orientation, gender identity, gender expression, cognitive diversity and neurodiversity. If you have a disability, long term health condition or additional need that requires accommodation during any stage of the recruitment process, please advise us of this on your CV and a member of the team will be in touch to discuss.
21/06/2026
Full time
AI Solutions Engineer Please note - there is no visa sponsorship available for this role or fully remote working. What would a typical day look like for you? As an AI Solutions Engineer reporting to the Data and Analytics Delivery Manager and working with Data Scientists in both Danske Bank UK and Europe, you'll be a driving force in revolutionising our AI initiatives. You will innovate and deploy leading edge solutions on platforms like MS Azure and AWS, working on knowledge assistants and agents, leveraging the OpenAI and anthropic models, and contributing to proof of concept projects that will shape our ecosystem's future. You'll work on robust AI applications, ensuring seamless integration with CI/CD pipelines, mastering cloud infrastructure by blending AWS with non AWS solutions, and tackling financial services industry challenges head on. You will also collaborate with cross functional teams, including AI teams within the wider Danske Bank organisation, to utilise the pre built infrastructure, driving impactful and dynamic AI projects that deliver bespoke solutions, advancing our strategic goals. What you will do Including but not limited to: Understand organisational and financial services challenges and spearhead how integrating AI capabilities can help lead to successful solutions. Design and implement cloud based solutions, with a focus on deploying AI agents and knowledge bots within the AWS and Microsoft technology stack. Deliver robust software engineering solutions that meet business requirements and enhance system performance. Display strong stakeholder management and influence through consistent collaboration, to understand their needs and translate these into technical requirements for AI solutions. Implement monitoring systems to track performance of AI models in production and perform regular maintenance to ensure reliability and accuracy. Ensuring AI solutions adhere to ethical guidelines and best practices, including fairness, transparency, and accountability. Maintain thorough documentation of AI projects and provide regular reports on progress, challenges, and outcomes to relevant stakeholders. Providing training and mentorship to junior team members and other departments to build AI literacy and capabilities within the organisation. Display strong communication skills by liaising with data scientists, data engineers, and architects. Utilise productivity and organisational skills through timely completion and accuracy of process documentation. Ensure projects are delivered at pace, aligning with the bank's strategic objectives, demonstrating agility and problem solving skills to overcome challenges. What skills & experience will you need? Essential Proven ability to implement infrastructure and models that support key business deliveries and objectives. Ability to adapt to new or emerging technologies and methodologies, demonstrated through ongoing professional development and training. Ability to produce complete and accurate documentation of processes, evaluated through reviews and usage metrics. Ability to foster an environment of continuous improvement, contributing to innovative solutions and initiatives within AI practices aligned to business goals. Experience in enhancing AI model accuracy, efficiency and predictive capabilities, with demonstrable performance metrics. Preferred Bachelor's degree in Computer Science or Software Engineering. Experience deploying AI within AWS and MS Azure. Experience using Docker, Airflow and Openshift. Cloud Certification. Data science model review, code refactoring, model optimisation, containerisation, deployment, versioning, monitoring of model quality and non functional requirements. Your benefits We're offering a competitive salary. We also provide an attractive range of flexible benefits centred on wellness, financial, psychological, physical and social. Everyone's circumstances differ, so benefits can be tailored to your needs. If you want to buy more holidays, need medical treatment, or want to expand your savings, we have options. Non stop discounts, gym membership savings, and salary sacrifice car benefit are also available. How we work Our belief is that we are "Better when Together" and want to balance the benefits of teaming up in person with flexible working where possible. We will be supportive and flexible to your circumstances, so for roles that offer a hybrid option we ask colleagues to attend their base location a minimum of 3 days a week so they can connect, collaborate and learn together. The other 2 days can be worked either from home or another bank location. Some of our roles are customer facing which means that it's really important to be able to work with customers face to face and hybrid working isn't appropriate. Equal opportunity statement Danske Bank is proud to be an equal opportunity workplace. That means that, as a committed equal opportunities employer, we welcome applications from all suitably qualified candidates regardless of gender, ethnicity, background, nationality, generation, age, working style, religious background, sexual orientation, gender identity, gender expression, cognitive diversity and neurodiversity. If you have a disability, long term health condition or additional need that requires accommodation during any stage of the recruitment process, please advise us of this on your CV and a member of the team will be in touch to discuss.
Enforcement Lawyer - Specialist in Data Management / Policy
The Endorsement Board Birmingham, Staffordshire
The Financial Reporting Council's (FRC's) purpose is to serve the public interest and support UK economic growth by upholding high standards of corporate governance, corporate reporting, audit and actuarial work. We are the UK Competent Authority for audit. We also set the UK Corporate Governance and Stewardship Codes as well as UK standards for accounting, auditing, and actuarial work. We monitor and take enforcement action to promote the quality of corporate reporting and operate independent enforcement arrangements for accountants and actuaries. Further information about our work can be found at . The FRC's Enforcement Division is the independent disciplinary body for the accountancy and actuarial professions in the UK. It undertakes complex professional disciplinary investigations and prosecutions in cases involving accountants, accountancy firms and actuaries which raise important issues affecting the public interest in the UK. Many of the investigations are large, complex, and high profile and our cases regularly require liaison with other investigators including the Serious Fraud Office, the Financial Conduct Authority, the Insolvency Service, and the Pensions Regulator. Examples of our recent case outcomes can be found here. More information on the work of the Division can be found in our Annual Enforcement Review. The Role: Assisting the Enforcement Division's Information Asset Owner and data management team with the provision of, and contributing your own, high quality, practical legal advice and analysis on data management and related policy considerations, within the context of supporting Case Lawyers and multi disciplinary case teams to deliver complex regulatory investigations. Supporting the development and implementation of the Enforcement Division's data management policy and strategy and ensure its compliance with all applicable data protection laws and regulations (including UK GDPR, the DPA, FOIA, other legislation and regulations specific to the FRC's work and the common law). Understanding and demonstrating best practice in complying with applicable laws, regulations and internal policies for the protection of personal, confidential and/or sensitive data. Supporting workstreams to implement updates to the Enforcement Division's suite of policies and procedures on data management and related topics. Drafting practical advice and guidance for Enforcement case teams on data management and related topics arising from new and proposed legislative changes as well as developing good practice. Engaging with and working alongside lawyers from the FRC's Legal Services Team and the FRC's IT experts as and when required. Engaging with Government Departments, other regulators and other agencies on legal and policy issues relating to data management as required. Preparing and delivering training and presentations to Enforcement team members. Supporting with instructing specialist counsel to advise on legal questions relating to data management of high complexity or risk. You will work as part of a multi disciplinary team, alongside forensic accountants, lawyers, and legal assistants on data management and related policy issues in the context of supporting the delivery of complex regulatory investigations. The role is accountable to the Enforcement division's Information Asset Owner, the Senior Policy Lawyer and the Senior Leadership team. The role will also involve collaboration and engagement with colleagues in many of the FRC's other Divisions including the Legal Services Team. The post holder should be able to work flexibly to support the team's activities and also provide cover within the FRC as necessary. The FRC operates a hybrid working arrangement. This means full time employees will spend at least four days per fortnight in the office, pro rata for part time employees, and any arrangement will be agreed between the employee and their line manager. The role may be based in either our London or Birmingham Office. Some travel to our other office location may be required from time to time. The Person: The successful candidate must be a solicitor or barrister fully qualified to practise in England and Wales (or other Common Law jurisdiction with demonstrable, relevant experience in the UK) with proven experience (typically in excess of two years) of advising on laws and regulations for the protection of personal, confidential and/or sensitive data (including UK GDPR, the DPA, FOIA, other jurisdiction specific legislation and regulations and the common law) as well as best practice in complying with the same. They will have sound knowledge of current issues and trends in the field and experience of completing, and best practice for, data impact assessments and responding to FOIA requests and SARs. Preferably this experience will have been gained within the context of working within a division or team carrying out law enforcement or regulatory investigations. Alternatively, it is desirable for candidates to have previous experience working or acting for a prosecuting authority, regulator or disciplinary body with an enforcement/investigation function, in addition to experience of providing legal advice in respect of applicable data protection laws and regulations. Candidates will be expected to demonstrate the following competencies: Excellent legal and technical skills in the areas outlined above Excellent analytical skills and judgement Ability to support organisations in robustly evaluating and addressing data management risks in an enforcement / investigation context Excellent written and oral communication and interpersonal skills, including ability to communicate clearly with a range of internal and external parties and credibility to engage with senior professionals Ability to collaborate effectively in a multi disciplinary environment, with colleagues and stakeholders at all levels to deliver effective solutions Determination and self motivation to pursue matters, make well reasoned suggestions and propose solutions Effective project management and organisational skills including an ability to work well under pressure and to deadlines Strong legal research skills and excellent IT skills
21/06/2026
Full time
The Financial Reporting Council's (FRC's) purpose is to serve the public interest and support UK economic growth by upholding high standards of corporate governance, corporate reporting, audit and actuarial work. We are the UK Competent Authority for audit. We also set the UK Corporate Governance and Stewardship Codes as well as UK standards for accounting, auditing, and actuarial work. We monitor and take enforcement action to promote the quality of corporate reporting and operate independent enforcement arrangements for accountants and actuaries. Further information about our work can be found at . The FRC's Enforcement Division is the independent disciplinary body for the accountancy and actuarial professions in the UK. It undertakes complex professional disciplinary investigations and prosecutions in cases involving accountants, accountancy firms and actuaries which raise important issues affecting the public interest in the UK. Many of the investigations are large, complex, and high profile and our cases regularly require liaison with other investigators including the Serious Fraud Office, the Financial Conduct Authority, the Insolvency Service, and the Pensions Regulator. Examples of our recent case outcomes can be found here. More information on the work of the Division can be found in our Annual Enforcement Review. The Role: Assisting the Enforcement Division's Information Asset Owner and data management team with the provision of, and contributing your own, high quality, practical legal advice and analysis on data management and related policy considerations, within the context of supporting Case Lawyers and multi disciplinary case teams to deliver complex regulatory investigations. Supporting the development and implementation of the Enforcement Division's data management policy and strategy and ensure its compliance with all applicable data protection laws and regulations (including UK GDPR, the DPA, FOIA, other legislation and regulations specific to the FRC's work and the common law). Understanding and demonstrating best practice in complying with applicable laws, regulations and internal policies for the protection of personal, confidential and/or sensitive data. Supporting workstreams to implement updates to the Enforcement Division's suite of policies and procedures on data management and related topics. Drafting practical advice and guidance for Enforcement case teams on data management and related topics arising from new and proposed legislative changes as well as developing good practice. Engaging with and working alongside lawyers from the FRC's Legal Services Team and the FRC's IT experts as and when required. Engaging with Government Departments, other regulators and other agencies on legal and policy issues relating to data management as required. Preparing and delivering training and presentations to Enforcement team members. Supporting with instructing specialist counsel to advise on legal questions relating to data management of high complexity or risk. You will work as part of a multi disciplinary team, alongside forensic accountants, lawyers, and legal assistants on data management and related policy issues in the context of supporting the delivery of complex regulatory investigations. The role is accountable to the Enforcement division's Information Asset Owner, the Senior Policy Lawyer and the Senior Leadership team. The role will also involve collaboration and engagement with colleagues in many of the FRC's other Divisions including the Legal Services Team. The post holder should be able to work flexibly to support the team's activities and also provide cover within the FRC as necessary. The FRC operates a hybrid working arrangement. This means full time employees will spend at least four days per fortnight in the office, pro rata for part time employees, and any arrangement will be agreed between the employee and their line manager. The role may be based in either our London or Birmingham Office. Some travel to our other office location may be required from time to time. The Person: The successful candidate must be a solicitor or barrister fully qualified to practise in England and Wales (or other Common Law jurisdiction with demonstrable, relevant experience in the UK) with proven experience (typically in excess of two years) of advising on laws and regulations for the protection of personal, confidential and/or sensitive data (including UK GDPR, the DPA, FOIA, other jurisdiction specific legislation and regulations and the common law) as well as best practice in complying with the same. They will have sound knowledge of current issues and trends in the field and experience of completing, and best practice for, data impact assessments and responding to FOIA requests and SARs. Preferably this experience will have been gained within the context of working within a division or team carrying out law enforcement or regulatory investigations. Alternatively, it is desirable for candidates to have previous experience working or acting for a prosecuting authority, regulator or disciplinary body with an enforcement/investigation function, in addition to experience of providing legal advice in respect of applicable data protection laws and regulations. Candidates will be expected to demonstrate the following competencies: Excellent legal and technical skills in the areas outlined above Excellent analytical skills and judgement Ability to support organisations in robustly evaluating and addressing data management risks in an enforcement / investigation context Excellent written and oral communication and interpersonal skills, including ability to communicate clearly with a range of internal and external parties and credibility to engage with senior professionals Ability to collaborate effectively in a multi disciplinary environment, with colleagues and stakeholders at all levels to deliver effective solutions Determination and self motivation to pursue matters, make well reasoned suggestions and propose solutions Effective project management and organisational skills including an ability to work well under pressure and to deadlines Strong legal research skills and excellent IT skills
Team Leader - Macro Economics Data
BLOOMBERG L.P.
Team Leader - Macro Economics Data Location: London Business Area: Data Ref #: Description & Requirements Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes. Within Data, the Economics Data Team is responsible for onboarding, analyzing, and supplying high-quality economic content that supports client decision-making. We provide trusted, sought after economic data that is normalised across countries and regions. Business leaders rely on the real time financial information available on the Bloomberg Professional Service, and the intelligence and insight produced by the Economics team power many of these products. Our analysts influence decisions and markets every day-and we continue to grow. The Economics Data team manages both traditional and alternative economic time series, forecasts, and surveys. We deliver relevant, timely, and accurate data that enables clients to analyse global economies with confidence. Our focus is on making economic content more discoverable and timely, generating data driven insights, and delivering outstanding customer service. What's the role? The Economics Data team is seeking a dedicated Team Leader to lead and develop a hard working group of economic analysts, responsible for data onboarding and analysis across the EMEA markets. In this role, you will partner closely with clients and key collaborators to understand evolving needs and set proactive strategies for our economic coverage - particularly across core economic concepts, high frequency indicators, and emerging markets. From a technical perspective, you will lead efforts to research and onboard new datasets that expand and strengthen our product coverage, with a focus on data acquisition and semantic data modelling. Your team will transform complex datasets and workflows into high quality financial and economic data products that are indispensable to our users. This role requires extensive collaboration with global colleagues and partners across the organisation, including Business Managers, News, Bloomberg Intelligence and Economists, Sales & Analytics, Data Governance, and Engineering. The Economics Data team is also undergoing a significant transformation toward an automation first operating model, with the goal of achieving Straight Through Processing across how we acquire, curate, semantically model, and deliver data to clients. In an era defined by AI and rapidly growing data demands, the ability to scale data coverage through automation is critical to our success. As Team Leader, you will play a pivotal role in advocating and driving this change - embedding automation into workflows, enabling scale, and guiding your team through this evolution. We'll trust you to: Apply strong economic domain expertise to source, evaluate, and analyse complex datasets, ensuring timely, high quality economic insights for clients while staying current on relevant market trends and developments. Recruit, mentor, and develop a high performing team of analysts who operate as subject matter experts, capable of delivering time sensitive data through scalable, automation enabled workflows, strong analytical judgement, and effective project execution. Partner closely with cross functional teams-including Economists, Product, Sales, News, Data Governance, and Engineering-to continuously improve economic data products, databases, and terminal functionality. Set and implement the team's strategy for data onboarding at scale, embedding automation first principles by developing data modelling, ETL, and software adjacent skills within the team, in close collaboration with Data Engineering. Own risk management across the full data life cycle, from data sourcing and onboarding through modelling, publication, change management, and deprecation, proactively identifying and mitigating data quality, operational, regulatory, and client impact risks. Design and enforce robust processes, standards, and controls that ensure high data quality, operational resilience, and an exceptional level of client service, while progressively reducing manual intervention, life cycle risk, and preventable issues. You'll need to have: We use years of experience as a guide but we will consider applications from all candidates who can demonstrate the necessary skills for the role. 3+ years of formal people leadership experience, or strong informal leadership Bachelor's degree, preferably in Economics or Finance, or related business / STEM field Experience working with Economic time series or other large datasets, be able to quantify the trends impacting the industry, and provide information that can aid commercial decisions Experience working with Python including using AI assistants like GitHub Copilot Vision to align your team's goals around providing outstanding service to Business and other internal/external clients, and the ability to implement a business and people strategy which delivers on that vision Excellent problem solving and communication skills, allowing you to solve and clearly communicate business needs while advocating on behalf of your team Proven ability to establish strong credibility and build influential relationships with multiple internal and external clients and partners Understanding and application of data quality methodologies Creative and flexible approach to problem solving, aided by strong data analysis skills We'd love to see: Experience or knowledge in the Bloomberg terminal, and/or Bloomberg Data workflows Experience or strong curiosity about data modelling in addition to strong Excel and PowerPoint skills, SQL experience, and coding experience Experience using data visualization tools Does this sound like you? Apply if you think we're a good match. We'll get in touch to let you know what the next steps are. If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role. Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, colour, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email .
21/06/2026
Full time
Team Leader - Macro Economics Data Location: London Business Area: Data Ref #: Description & Requirements Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes. Within Data, the Economics Data Team is responsible for onboarding, analyzing, and supplying high-quality economic content that supports client decision-making. We provide trusted, sought after economic data that is normalised across countries and regions. Business leaders rely on the real time financial information available on the Bloomberg Professional Service, and the intelligence and insight produced by the Economics team power many of these products. Our analysts influence decisions and markets every day-and we continue to grow. The Economics Data team manages both traditional and alternative economic time series, forecasts, and surveys. We deliver relevant, timely, and accurate data that enables clients to analyse global economies with confidence. Our focus is on making economic content more discoverable and timely, generating data driven insights, and delivering outstanding customer service. What's the role? The Economics Data team is seeking a dedicated Team Leader to lead and develop a hard working group of economic analysts, responsible for data onboarding and analysis across the EMEA markets. In this role, you will partner closely with clients and key collaborators to understand evolving needs and set proactive strategies for our economic coverage - particularly across core economic concepts, high frequency indicators, and emerging markets. From a technical perspective, you will lead efforts to research and onboard new datasets that expand and strengthen our product coverage, with a focus on data acquisition and semantic data modelling. Your team will transform complex datasets and workflows into high quality financial and economic data products that are indispensable to our users. This role requires extensive collaboration with global colleagues and partners across the organisation, including Business Managers, News, Bloomberg Intelligence and Economists, Sales & Analytics, Data Governance, and Engineering. The Economics Data team is also undergoing a significant transformation toward an automation first operating model, with the goal of achieving Straight Through Processing across how we acquire, curate, semantically model, and deliver data to clients. In an era defined by AI and rapidly growing data demands, the ability to scale data coverage through automation is critical to our success. As Team Leader, you will play a pivotal role in advocating and driving this change - embedding automation into workflows, enabling scale, and guiding your team through this evolution. We'll trust you to: Apply strong economic domain expertise to source, evaluate, and analyse complex datasets, ensuring timely, high quality economic insights for clients while staying current on relevant market trends and developments. Recruit, mentor, and develop a high performing team of analysts who operate as subject matter experts, capable of delivering time sensitive data through scalable, automation enabled workflows, strong analytical judgement, and effective project execution. Partner closely with cross functional teams-including Economists, Product, Sales, News, Data Governance, and Engineering-to continuously improve economic data products, databases, and terminal functionality. Set and implement the team's strategy for data onboarding at scale, embedding automation first principles by developing data modelling, ETL, and software adjacent skills within the team, in close collaboration with Data Engineering. Own risk management across the full data life cycle, from data sourcing and onboarding through modelling, publication, change management, and deprecation, proactively identifying and mitigating data quality, operational, regulatory, and client impact risks. Design and enforce robust processes, standards, and controls that ensure high data quality, operational resilience, and an exceptional level of client service, while progressively reducing manual intervention, life cycle risk, and preventable issues. You'll need to have: We use years of experience as a guide but we will consider applications from all candidates who can demonstrate the necessary skills for the role. 3+ years of formal people leadership experience, or strong informal leadership Bachelor's degree, preferably in Economics or Finance, or related business / STEM field Experience working with Economic time series or other large datasets, be able to quantify the trends impacting the industry, and provide information that can aid commercial decisions Experience working with Python including using AI assistants like GitHub Copilot Vision to align your team's goals around providing outstanding service to Business and other internal/external clients, and the ability to implement a business and people strategy which delivers on that vision Excellent problem solving and communication skills, allowing you to solve and clearly communicate business needs while advocating on behalf of your team Proven ability to establish strong credibility and build influential relationships with multiple internal and external clients and partners Understanding and application of data quality methodologies Creative and flexible approach to problem solving, aided by strong data analysis skills We'd love to see: Experience or knowledge in the Bloomberg terminal, and/or Bloomberg Data workflows Experience or strong curiosity about data modelling in addition to strong Excel and PowerPoint skills, SQL experience, and coding experience Experience using data visualization tools Does this sound like you? Apply if you think we're a good match. We'll get in touch to let you know what the next steps are. If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role. Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, colour, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email .

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