Applications processed via employer's online application form At Allstate in Northern Ireland, we're not just keeping pace - we're setting it. As Al At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers' evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. Your role in the team As a Data Scientist in Allstate's AI Risk, Governance and Research area, you'll support the development and maintenance of data driven agentic solutions, working under the guidance of senior team members across the full lifecycle-from data collection and exploratory analysis to model/agent development, deployment, and monitoring. You will build foundational experience designing and implementing AI agents and cloud-based AI solutions, while learning how to maintain scalable AI systems in production environments. You'll collaborate across teams to learn and apply established best practices and reusable components, helping ensure consistent and high-quality execution of agents. As a team member, you'll contribute to the development and deployment of machine learning and AI solutions, with exposure to observability, security, and efficient LLM utilization. Key Responsibilities Learns and applies LLMs, programming languages, and tools used by the team to improve efficiency and solve business problems. Assists in exploring new data sources, research, and models under direction from senior team members. Supports project planning efforts by breaking down AI/predictive modeling and development tasks into manageable subtasks, tracking progress and meeting assigned deadlines. Executes analytical and modeling tasks as part of a larger project team. Applies standard best practices to develop statistical and machine learning techniques to build models that address business needs and improve data quality and decision-making. Reviews and discusses AI/modeling techniques and results with peers and mentors, clearly communicating findings and incorporating feedback. Contributes to stakeholder communications by preparing summaries, documentation, and analysis to support senior team members in influencing business partners and leaders. Works with guidance to understand business problems and requirements and help identify appropriate modeling approaches. Assists in developing prototypes and frameworks that integrate data and machine learning/predictive modeling into business decision making processes. All applicants must demonstrate they have a legal right to work in the UK for employment at Allstate. Allstate is not providing sponsorship for this vacancy. A minimum 3 years of hands on, practical experience using Python for data analysis, modelling, and building production ready solutions, along with experience using other modern data science tools (R, SQL, TensorFlow, PyTorch). Working knowledge or coursework exposure to CI/CD pipelines, containerization (Docker), observability concepts, and cloud security fundamentals. Introductory experience or strong interest in AI agent development using at least one framework (e.g., Azure AF, AWS Strands, Google ADK, LangGraph, OpenAI Agents SDK). Interest in or exposure to risk management or AI governance concepts. Exposure to AWS Bedrock and/or Azure Foundry through projects, coursework, or on the job experience. Basic familiarity with Infrastructure as Code (IaC) concepts and tools for provisioning and managing cloud resources. Familiarity with building no code/low code agents using M365. A degree of any level in a quantitative field such as mathematics, physics or computer science with classification of 2.1 or higher (or equivalent). Supervisory Responsibilities This job does not have supervisory duties. Skills AI Agents, Business Case Analyses, Data Analytics, Data Science, Machine Learning (ML), Machine Learning Algorithms, Machine Learning Methods, Predictive Analytics, Predictive Modeling, Python (Programming Language), Structured Query Language (SQL), Waterfall Model What do you get in return? As well as receiving a competitive annual salary, our reward package includes: Annual performance related pay reviews Life assurance and income protection Flexible working options Private medical and dental insurance Access to an employee assistance programme Discounted gym membership Two paid volunteering days each year Cycle to work scheme Be part of a high performing, socially responsible organisation where your work has purpose, and your growth is supported every step of the way.
26/06/2026
Full time
Applications processed via employer's online application form At Allstate in Northern Ireland, we're not just keeping pace - we're setting it. As Al At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers' evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. Your role in the team As a Data Scientist in Allstate's AI Risk, Governance and Research area, you'll support the development and maintenance of data driven agentic solutions, working under the guidance of senior team members across the full lifecycle-from data collection and exploratory analysis to model/agent development, deployment, and monitoring. You will build foundational experience designing and implementing AI agents and cloud-based AI solutions, while learning how to maintain scalable AI systems in production environments. You'll collaborate across teams to learn and apply established best practices and reusable components, helping ensure consistent and high-quality execution of agents. As a team member, you'll contribute to the development and deployment of machine learning and AI solutions, with exposure to observability, security, and efficient LLM utilization. Key Responsibilities Learns and applies LLMs, programming languages, and tools used by the team to improve efficiency and solve business problems. Assists in exploring new data sources, research, and models under direction from senior team members. Supports project planning efforts by breaking down AI/predictive modeling and development tasks into manageable subtasks, tracking progress and meeting assigned deadlines. Executes analytical and modeling tasks as part of a larger project team. Applies standard best practices to develop statistical and machine learning techniques to build models that address business needs and improve data quality and decision-making. Reviews and discusses AI/modeling techniques and results with peers and mentors, clearly communicating findings and incorporating feedback. Contributes to stakeholder communications by preparing summaries, documentation, and analysis to support senior team members in influencing business partners and leaders. Works with guidance to understand business problems and requirements and help identify appropriate modeling approaches. Assists in developing prototypes and frameworks that integrate data and machine learning/predictive modeling into business decision making processes. All applicants must demonstrate they have a legal right to work in the UK for employment at Allstate. Allstate is not providing sponsorship for this vacancy. A minimum 3 years of hands on, practical experience using Python for data analysis, modelling, and building production ready solutions, along with experience using other modern data science tools (R, SQL, TensorFlow, PyTorch). Working knowledge or coursework exposure to CI/CD pipelines, containerization (Docker), observability concepts, and cloud security fundamentals. Introductory experience or strong interest in AI agent development using at least one framework (e.g., Azure AF, AWS Strands, Google ADK, LangGraph, OpenAI Agents SDK). Interest in or exposure to risk management or AI governance concepts. Exposure to AWS Bedrock and/or Azure Foundry through projects, coursework, or on the job experience. Basic familiarity with Infrastructure as Code (IaC) concepts and tools for provisioning and managing cloud resources. Familiarity with building no code/low code agents using M365. A degree of any level in a quantitative field such as mathematics, physics or computer science with classification of 2.1 or higher (or equivalent). Supervisory Responsibilities This job does not have supervisory duties. Skills AI Agents, Business Case Analyses, Data Analytics, Data Science, Machine Learning (ML), Machine Learning Algorithms, Machine Learning Methods, Predictive Analytics, Predictive Modeling, Python (Programming Language), Structured Query Language (SQL), Waterfall Model What do you get in return? As well as receiving a competitive annual salary, our reward package includes: Annual performance related pay reviews Life assurance and income protection Flexible working options Private medical and dental insurance Access to an employee assistance programme Discounted gym membership Two paid volunteering days each year Cycle to work scheme Be part of a high performing, socially responsible organisation where your work has purpose, and your growth is supported every step of the way.
Salary: £59,400 - £78,800 with an average of £5,750- £11,250 in profit share Softwire is one of the UK's leading digital technology consultancies, offering services in software engineering, design, innovation, cloud, mobile and data. We deliver high-profile and cutting-edge digital projects for household names across the public and private sectors. Softwire was founded on one simple idea: if we can create the best possible culture and working environment, then everything else will fall into place. And it seems to be working - we were recently voted number 1 company to work for in the UK at the Best Company awards, and we have a loyal and growing client base who trust us with their hardest problems and their mission critical projects. We focus on creating a great culture and working environment and we are looking for people who share our core beliefs about what makes a great place to work: That if a job is worth doing, it's worth doing properly. That work should be fulfilling but can also be fun. That kindness matters and should be extended to employees and clients alike. That by being trusting and trustworthy as an organisation and as individuals we can dispense with tedious bureaucracy and rules. When you work with Softwire, you're not only becoming part of a team with in depth technical skills and delivery expertise - you'll be working in a high trust environment alongside skilled, kind, fun people who are passionate about creating amazing services and experiences that solve real problems. In brief We're looking for an experienced data scientist with strong technical skills and a track record of delivering data science solutions in the UK public or private sectors. You will be responsible for designing and delivering data science projects for our clients and will have opportunities to contribute to Softwire's growing data science capability. The role This role combines hands on technical work with consultancy. A Senior Data Scientist will: Scope, design and deliver high quality data science projects end to end for our clients, owning technical delivery with limited oversight. Support our Principals in exploring & shaping client opportunities. Support technical quality with code and design reviews and by sharing best experimentation practice. Contribute to data science growth across our organisation as an active member of the Data and AI capability, supporting and sharing best practice with junior colleagues. Help shape how Softwire approaches data science: tooling, methodology, use case evaluation, and governance. This is a technical role and does not include formal line management responsibilities. About You You are a data scientist with proven expertise in the following: Data analysis and predictive analytics Natural language processing MLOps and productionising models You have expert knowledge of the Python ecosystem and core data science libraries, along with relevant tooling on major cloud platforms (PyTorch / TensorFlow / Keras, Scikit-learn, MLflow, Azure ML / SageMaker / Databricks). You take an investigative approach to problems, using experiments and evidence to guide decisions. You are comfortable taking an unclear business problem and shaping it into a data science approach that provides the client value, including recognising where ML isn't the right answer. You have a track record designing, training and deploying models that deliver measurable benefits, with strong analytics and visualisation skills to communicate results. You have a strong understanding of statistics, bias, AI ethics and model governance. You take an active interest in ongoing developments in Data & AI and can speak knowledgeably about current industry trends. You are an excellent communicator, able to clearly and confidently explain data science processes, experiments and outcomes to diverse audiences, tailoring your delivery as required. You are keen to grow your impact beyond individual delivery: contributing to internal knowledge sharing, supporting business development conversations, and helping shape how we approach data science as a capability. Prior experience in a consultancy/advisory context is a bonus, as is experience in at least one of our target sectors (Government & Public Sector, Financial Services & Insurance, Energy & Utilities, Transportation, Media & Entertainment, or Healthcare). What We Offer Softwire operates transparent pay scales and a profit share scheme based on role and overall company performance. Base salary is based on experience and ranges from £59,400 - £78,800. You can expect to receive an average of between £5,750 and £11,250 in profit share depending on your experience and company performance. Pension: Additional 5% of salary. 25 days annual leave (with the option to buy and sell). Time off for company wide morale events, time off for charitable activities. Free annual eye test, income protection, cycle to work, electric vehicle lease schemes, and payroll charity donations. We are there for our clients and colleagues when needed. On average our teams do this working in person 3 days a week. We welcome applications from those with additional needs or caring responsibilities, and will look at where adaptions can support success in the role.
26/06/2026
Full time
Salary: £59,400 - £78,800 with an average of £5,750- £11,250 in profit share Softwire is one of the UK's leading digital technology consultancies, offering services in software engineering, design, innovation, cloud, mobile and data. We deliver high-profile and cutting-edge digital projects for household names across the public and private sectors. Softwire was founded on one simple idea: if we can create the best possible culture and working environment, then everything else will fall into place. And it seems to be working - we were recently voted number 1 company to work for in the UK at the Best Company awards, and we have a loyal and growing client base who trust us with their hardest problems and their mission critical projects. We focus on creating a great culture and working environment and we are looking for people who share our core beliefs about what makes a great place to work: That if a job is worth doing, it's worth doing properly. That work should be fulfilling but can also be fun. That kindness matters and should be extended to employees and clients alike. That by being trusting and trustworthy as an organisation and as individuals we can dispense with tedious bureaucracy and rules. When you work with Softwire, you're not only becoming part of a team with in depth technical skills and delivery expertise - you'll be working in a high trust environment alongside skilled, kind, fun people who are passionate about creating amazing services and experiences that solve real problems. In brief We're looking for an experienced data scientist with strong technical skills and a track record of delivering data science solutions in the UK public or private sectors. You will be responsible for designing and delivering data science projects for our clients and will have opportunities to contribute to Softwire's growing data science capability. The role This role combines hands on technical work with consultancy. A Senior Data Scientist will: Scope, design and deliver high quality data science projects end to end for our clients, owning technical delivery with limited oversight. Support our Principals in exploring & shaping client opportunities. Support technical quality with code and design reviews and by sharing best experimentation practice. Contribute to data science growth across our organisation as an active member of the Data and AI capability, supporting and sharing best practice with junior colleagues. Help shape how Softwire approaches data science: tooling, methodology, use case evaluation, and governance. This is a technical role and does not include formal line management responsibilities. About You You are a data scientist with proven expertise in the following: Data analysis and predictive analytics Natural language processing MLOps and productionising models You have expert knowledge of the Python ecosystem and core data science libraries, along with relevant tooling on major cloud platforms (PyTorch / TensorFlow / Keras, Scikit-learn, MLflow, Azure ML / SageMaker / Databricks). You take an investigative approach to problems, using experiments and evidence to guide decisions. You are comfortable taking an unclear business problem and shaping it into a data science approach that provides the client value, including recognising where ML isn't the right answer. You have a track record designing, training and deploying models that deliver measurable benefits, with strong analytics and visualisation skills to communicate results. You have a strong understanding of statistics, bias, AI ethics and model governance. You take an active interest in ongoing developments in Data & AI and can speak knowledgeably about current industry trends. You are an excellent communicator, able to clearly and confidently explain data science processes, experiments and outcomes to diverse audiences, tailoring your delivery as required. You are keen to grow your impact beyond individual delivery: contributing to internal knowledge sharing, supporting business development conversations, and helping shape how we approach data science as a capability. Prior experience in a consultancy/advisory context is a bonus, as is experience in at least one of our target sectors (Government & Public Sector, Financial Services & Insurance, Energy & Utilities, Transportation, Media & Entertainment, or Healthcare). What We Offer Softwire operates transparent pay scales and a profit share scheme based on role and overall company performance. Base salary is based on experience and ranges from £59,400 - £78,800. You can expect to receive an average of between £5,750 and £11,250 in profit share depending on your experience and company performance. Pension: Additional 5% of salary. 25 days annual leave (with the option to buy and sell). Time off for company wide morale events, time off for charitable activities. Free annual eye test, income protection, cycle to work, electric vehicle lease schemes, and payroll charity donations. We are there for our clients and colleagues when needed. On average our teams do this working in person 3 days a week. We welcome applications from those with additional needs or caring responsibilities, and will look at where adaptions can support success in the role.
Job Description As part of our continued growth and investment in our data and analytics capabilities we have an exciting opportunity for Senior Manager Data and Insights to join AJ Bell. As the Senior Manager Data and Insights, you will play a pivotal role in leading the delivery of high-impact data, business intelligence solutions, and commercial and customer analytics that help inform and sharpen the AJ Bell D2C strategy. This role sits at the heart our business and you will act as a trusted partner and adviser to our senior management team along with colleagues from product, marketing, digital and UX ensuring they have high quality data and insight at their fingertips. What does the job involve? Leadership of a growing and high performing team of data engineers, BI developers, and analysts - coaching individuals and the team to deliver their best for the business. Fostering a culture of collaboration, innovation, and continuous learning to drive professional growth and development within the team. Developing and delivering the D2C data strategy through consulting with stakeholders and developing a comprehensive understanding of their goals and strategies, ensuring our data architecture is robust, fit-for-purpose and scalable against our ambitious growth ambition. Ensuring strong technical and business processes including documentation so that our data pipelines and data assets are robust, and that change is delivered in a governed and controlled manner and at the pace our stakeholders require. Setting out and delivering our reporting architecture, guiding the team to continuously improve our suite of dashboards, and rolling them out to the business and taking the lead on delivering self service and improved data literacy across the division. You'll continually evolve our dashboard suite in line with stakeholder feedback. Develop the analytics and insight roadmap, engaging with senior leaders across the business to ensure their immediate and longer term needs are met. You will also act as the data and analytics SME in critical projects and programmes, ensuring they are supported with time critical, relevant, and high quality insights. Ensure the team deliver high quality analytics projects that are accurate and on time/on brief but also that there are clear and well evidenced recommendations and actions in place. Working closely with our stakeholders in D2C (particularly Marketing and Product) to understand their plans and strategies to develop an operating model and plans for data and analytics. You'll also take the lead on engaging with and working closely with our central data and technology teams to deliver changes and create an aligned way of working and ensure cross functional alignment. Continually assess our ways of working and roadmaps, proactively identifying opportunities for efficiency and innovation. Working closely with our central data and technology colleagues to collaborate on projects, share best practice and agree on common ways of working across the AJ Bell data community. Ensure compliance with regulatory requirements and industry standards related to data privacy, security, and confidentiality. You'll ensure the team have effective controls in place, monitor any risks to the team, and own the rectification of any data incidents. Supporting and enabling the business to achieve its regulatory requirements, including consumer duty. About you Significant proven experience in leading and developing data, reporting and analytics teams in financial services or a highly regulated industry. Excellent long term planning and short term prioritisation skills, including effective communication and ensuring delivery of priorities. Experience of developing a data and analytics strategy and evidence of delivering against a prioritised roadmap. A track record of delivering highly scalable and robust data architecture, and in particular working with real time or near real time data and pipelines. Experience of working with diverse data sources across customer, transactional and external data, and different cadences. Experience of working with third party data enhancement and marketing data sources such as Google Analytics is highly desirable. In depth knowledge of cloud based data architecture, database development, and management. Previous experience with Snowflake is desirable. Best practice for systems and data governance including development processes and documentation. Previous responsibility for business critical data assets and platforms. Hands on experience and ownership of marketing automation platforms such as Salesforce Marketing Cloud, Braze, Marketo or Bloomreach is highly desirable. Proven understanding of GDPR and data governance, preferably in financial services. Demonstrable experience of developing and scaling a high volume and complex reporting architecture and dashboard suite. Broad knowledge of business intelligence principles, approaches, and tools/platforms. Power BI is preferred. Understanding of marketing and product performance metrics and approaches. Exposure to Google Analytics and user engagement tools and testing platforms such as Contentsquare, AppsFlyer, Optimizely is highly desirable. Experience of developing and applying robust AI based approaches and LLMs to generate efficiencies. Extensive experience of small and large scale analytical project approaches encompassing data mining, summarisation, and presentation of impactful and insightful results. Excellent proficiency in data manipulation languages, particularly SQL, and able to write complex queries and repeatable stored procedures. Experience in low code solutions like DBT is highly desirable. Data storytelling and able to condense complex analytics into clear narratives and actions for a range of technical and non technical stakeholders. Practical experience of data science and predictive techniques such as regression modelling, cluster analysis, decision trees, etc. is desirable. Strong understanding of data and systems integration and data pipelines including development approaches. Understanding of marketing and communication technologies, and modern personalised marketing principles particularly using CRM platforms and orchestration tools. Outstanding stakeholder engagement and management skills. Highly effective communication skills and comfortable working with both technical and non technical teams. Proven ability to work effectively with multidisciplinary teams across technology, operations, product, and marketing. About AJ Bell AJ Bell is one of the UK's fastest growing investment platform businesses, providing award winning solutions for everyone, from professional financial advisers to first time investors. Today, over723,000customerstrust us to manage more than£108.7billionof assets. By continually striving to make investing simpler and more accessible, we're helping more people take control of their financial futures. We're proud to be recognised as one of the UK's Best 100 Companies to Work For for six consecutive years, and a Great Place to Work in 2025 and 2026a reflection of our supportive and collaborative culture. What we offer 27 days holiday, increasing with service + buy/sell scheme + bank holidays 8% Pension with matched contributions Discretionary bonus scheme Share schemes (including free shares and BAYE) Health Cash Plan and discounted private healthcare Freegym Enhanced family leave (subject to qualifying criteria) Travel and bike loan schemes Employee Assistance Programme Life at AJ Bell Regular social events including summer and Christmas parties Learning and development opportunities tailored to you Casual dress code Friendly, supportive team environment Our ways of working We offer hybrid working, with a minimum of 50% of your working time per month spent in the office. This role can be based in London or Manchester. For new starters, there is an initial period of full time office working to help you settle in and build relationships. Inclusion & diversity We're committed to creating an inclusive environment where everyone feels respected and able to be themselves at work. We welcome applications from all backgrounds and make hiring decisions based on skills, experience, and potential.
26/06/2026
Full time
Job Description As part of our continued growth and investment in our data and analytics capabilities we have an exciting opportunity for Senior Manager Data and Insights to join AJ Bell. As the Senior Manager Data and Insights, you will play a pivotal role in leading the delivery of high-impact data, business intelligence solutions, and commercial and customer analytics that help inform and sharpen the AJ Bell D2C strategy. This role sits at the heart our business and you will act as a trusted partner and adviser to our senior management team along with colleagues from product, marketing, digital and UX ensuring they have high quality data and insight at their fingertips. What does the job involve? Leadership of a growing and high performing team of data engineers, BI developers, and analysts - coaching individuals and the team to deliver their best for the business. Fostering a culture of collaboration, innovation, and continuous learning to drive professional growth and development within the team. Developing and delivering the D2C data strategy through consulting with stakeholders and developing a comprehensive understanding of their goals and strategies, ensuring our data architecture is robust, fit-for-purpose and scalable against our ambitious growth ambition. Ensuring strong technical and business processes including documentation so that our data pipelines and data assets are robust, and that change is delivered in a governed and controlled manner and at the pace our stakeholders require. Setting out and delivering our reporting architecture, guiding the team to continuously improve our suite of dashboards, and rolling them out to the business and taking the lead on delivering self service and improved data literacy across the division. You'll continually evolve our dashboard suite in line with stakeholder feedback. Develop the analytics and insight roadmap, engaging with senior leaders across the business to ensure their immediate and longer term needs are met. You will also act as the data and analytics SME in critical projects and programmes, ensuring they are supported with time critical, relevant, and high quality insights. Ensure the team deliver high quality analytics projects that are accurate and on time/on brief but also that there are clear and well evidenced recommendations and actions in place. Working closely with our stakeholders in D2C (particularly Marketing and Product) to understand their plans and strategies to develop an operating model and plans for data and analytics. You'll also take the lead on engaging with and working closely with our central data and technology teams to deliver changes and create an aligned way of working and ensure cross functional alignment. Continually assess our ways of working and roadmaps, proactively identifying opportunities for efficiency and innovation. Working closely with our central data and technology colleagues to collaborate on projects, share best practice and agree on common ways of working across the AJ Bell data community. Ensure compliance with regulatory requirements and industry standards related to data privacy, security, and confidentiality. You'll ensure the team have effective controls in place, monitor any risks to the team, and own the rectification of any data incidents. Supporting and enabling the business to achieve its regulatory requirements, including consumer duty. About you Significant proven experience in leading and developing data, reporting and analytics teams in financial services or a highly regulated industry. Excellent long term planning and short term prioritisation skills, including effective communication and ensuring delivery of priorities. Experience of developing a data and analytics strategy and evidence of delivering against a prioritised roadmap. A track record of delivering highly scalable and robust data architecture, and in particular working with real time or near real time data and pipelines. Experience of working with diverse data sources across customer, transactional and external data, and different cadences. Experience of working with third party data enhancement and marketing data sources such as Google Analytics is highly desirable. In depth knowledge of cloud based data architecture, database development, and management. Previous experience with Snowflake is desirable. Best practice for systems and data governance including development processes and documentation. Previous responsibility for business critical data assets and platforms. Hands on experience and ownership of marketing automation platforms such as Salesforce Marketing Cloud, Braze, Marketo or Bloomreach is highly desirable. Proven understanding of GDPR and data governance, preferably in financial services. Demonstrable experience of developing and scaling a high volume and complex reporting architecture and dashboard suite. Broad knowledge of business intelligence principles, approaches, and tools/platforms. Power BI is preferred. Understanding of marketing and product performance metrics and approaches. Exposure to Google Analytics and user engagement tools and testing platforms such as Contentsquare, AppsFlyer, Optimizely is highly desirable. Experience of developing and applying robust AI based approaches and LLMs to generate efficiencies. Extensive experience of small and large scale analytical project approaches encompassing data mining, summarisation, and presentation of impactful and insightful results. Excellent proficiency in data manipulation languages, particularly SQL, and able to write complex queries and repeatable stored procedures. Experience in low code solutions like DBT is highly desirable. Data storytelling and able to condense complex analytics into clear narratives and actions for a range of technical and non technical stakeholders. Practical experience of data science and predictive techniques such as regression modelling, cluster analysis, decision trees, etc. is desirable. Strong understanding of data and systems integration and data pipelines including development approaches. Understanding of marketing and communication technologies, and modern personalised marketing principles particularly using CRM platforms and orchestration tools. Outstanding stakeholder engagement and management skills. Highly effective communication skills and comfortable working with both technical and non technical teams. Proven ability to work effectively with multidisciplinary teams across technology, operations, product, and marketing. About AJ Bell AJ Bell is one of the UK's fastest growing investment platform businesses, providing award winning solutions for everyone, from professional financial advisers to first time investors. Today, over723,000customerstrust us to manage more than£108.7billionof assets. By continually striving to make investing simpler and more accessible, we're helping more people take control of their financial futures. We're proud to be recognised as one of the UK's Best 100 Companies to Work For for six consecutive years, and a Great Place to Work in 2025 and 2026a reflection of our supportive and collaborative culture. What we offer 27 days holiday, increasing with service + buy/sell scheme + bank holidays 8% Pension with matched contributions Discretionary bonus scheme Share schemes (including free shares and BAYE) Health Cash Plan and discounted private healthcare Freegym Enhanced family leave (subject to qualifying criteria) Travel and bike loan schemes Employee Assistance Programme Life at AJ Bell Regular social events including summer and Christmas parties Learning and development opportunities tailored to you Casual dress code Friendly, supportive team environment Our ways of working We offer hybrid working, with a minimum of 50% of your working time per month spent in the office. This role can be based in London or Manchester. For new starters, there is an initial period of full time office working to help you settle in and build relationships. Inclusion & diversity We're committed to creating an inclusive environment where everyone feels respected and able to be themselves at work. We welcome applications from all backgrounds and make hiring decisions based on skills, experience, and potential.
.Senior Principal Data Scientist page is loaded Senior Principal Data Scientistlocations: UK - London (London Wall): Londontime type: Full timeposted on: Posted Todayjob requisition id: R107535 Senior Principal Data Scientist About the Business At Cirium our goal is to keep the world connected. We are the industry leader in aviation analytics; helping our customers understand the past, present, and predicting what will happen tomorrow. Our mission is to transform the aviation industry by enabling airlines, airports, travel companies, tech giants, aircraft manufacturers, financial institutions and many more accelerate their own digital transformation. You can learn more about Cirium About the Team Propulsion Labs is Cirium's innovation group, focused on solving complex, high impact problems in aviation analytics. We work in small, collaborative teams to explore ideas, test solutions, and scale products that deliver meaningful value to customers. Our environment supports autonomy, learning, and inclusive collaboration. About the Role As a Senior Principal Data Scientist , you will contribute deep technical expertise while helping shape best practices across the data science community. This is a senior individual contributor role with strong influence through mentorship, collaboration, and technical leadership. You will work closely with partners across product, engineering, and the business to design and deliver data driven solutions.We welcome candidates from a range of backgrounds and experiences who are excited to apply advanced analytics to real world problems. Responsibilities: Technical Leadership Act as the go-to expert for state-of-the-art advanced analytics, machine learning, and generative AI. Define and evolve best practices for complex modeling and design problems, ensuring scalability, robustness, and performance. Provide thought leadership on emerging technologies and methodologies relevant to aviation analytics. Mentorship & Collaboration Mentor and coach data scientists, fostering a culture of continuous learning and technical excellence. Collaborate closely with product managers, engineers, and domain experts to align data science initiatives with business objectives. Influence strategic decisions by translating complex technical insights into actionable recommendations. Hands-On Development Lead by example through hands-on coding and model development. Design, prototype, and validate innovative solutions for high-impact problems. Partner with engineering teams to deploy models into production environments. Domain Expertise Leverage deep knowledge of aviation, travel, or related industries to inform modeling approaches and deliver customer-centric solutions. Stay ahead of industry trends impacting data-driven products. Requirements: Data Mastery Comfortable working with large, complex, real-world datasets, preferably aviation-related. Expertise in data wrangling, feature engineering, and scalable data pipelines. Depth Experience: in at least one area, with experience across several (in approximate order of relevance):Predictive modeling over tabular data Deep Learning NLP + LLMs, GenAI agent pipelines Simulations Graph-based models Time-series forecasting Geospatial modeling Causal inference Reinforcement learning Optimization problems Anomaly detection Deployment Experience Proven track record of deploying or partnering on customer-facing production ML systems . Proficiency in Python and SQL (experience with distributed or cloud based data platforms is a plus) Ability to communicate technical ideas clearly to both technical and non technical audiences Working for you: We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days Health screening, eye care vouchers and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme Travel Season ticket loan Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you Access to employee resource groups with dedicated time to volunteer Access to extensive learning and development resources Access to employee discounts scheme via Perks at WorkLearn more about the LexisNexis Risk team and how we work We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams . Please read our .We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: . Cirium offers aviation and air travel data and analytics to help keep the world in motion. Our people are at the center of who we are and what we do. We put the interests of our customers unmistakably first, we are empowered by the trust we earn from each other and our customers, we share a common global vision for Cirium based diversity, inclusion and collaboration and our passion for discovery will transform industries. Our team delivers insight, built from decades of experience in the sector, enabling travel companies, aircraft manufacturers, airports, airlines and financial institutions, among others, to make logical and informed decisions which shape the future of travel, growing revenues and enhancing customer experiences.
26/06/2026
Full time
.Senior Principal Data Scientist page is loaded Senior Principal Data Scientistlocations: UK - London (London Wall): Londontime type: Full timeposted on: Posted Todayjob requisition id: R107535 Senior Principal Data Scientist About the Business At Cirium our goal is to keep the world connected. We are the industry leader in aviation analytics; helping our customers understand the past, present, and predicting what will happen tomorrow. Our mission is to transform the aviation industry by enabling airlines, airports, travel companies, tech giants, aircraft manufacturers, financial institutions and many more accelerate their own digital transformation. You can learn more about Cirium About the Team Propulsion Labs is Cirium's innovation group, focused on solving complex, high impact problems in aviation analytics. We work in small, collaborative teams to explore ideas, test solutions, and scale products that deliver meaningful value to customers. Our environment supports autonomy, learning, and inclusive collaboration. About the Role As a Senior Principal Data Scientist , you will contribute deep technical expertise while helping shape best practices across the data science community. This is a senior individual contributor role with strong influence through mentorship, collaboration, and technical leadership. You will work closely with partners across product, engineering, and the business to design and deliver data driven solutions.We welcome candidates from a range of backgrounds and experiences who are excited to apply advanced analytics to real world problems. Responsibilities: Technical Leadership Act as the go-to expert for state-of-the-art advanced analytics, machine learning, and generative AI. Define and evolve best practices for complex modeling and design problems, ensuring scalability, robustness, and performance. Provide thought leadership on emerging technologies and methodologies relevant to aviation analytics. Mentorship & Collaboration Mentor and coach data scientists, fostering a culture of continuous learning and technical excellence. Collaborate closely with product managers, engineers, and domain experts to align data science initiatives with business objectives. Influence strategic decisions by translating complex technical insights into actionable recommendations. Hands-On Development Lead by example through hands-on coding and model development. Design, prototype, and validate innovative solutions for high-impact problems. Partner with engineering teams to deploy models into production environments. Domain Expertise Leverage deep knowledge of aviation, travel, or related industries to inform modeling approaches and deliver customer-centric solutions. Stay ahead of industry trends impacting data-driven products. Requirements: Data Mastery Comfortable working with large, complex, real-world datasets, preferably aviation-related. Expertise in data wrangling, feature engineering, and scalable data pipelines. Depth Experience: in at least one area, with experience across several (in approximate order of relevance):Predictive modeling over tabular data Deep Learning NLP + LLMs, GenAI agent pipelines Simulations Graph-based models Time-series forecasting Geospatial modeling Causal inference Reinforcement learning Optimization problems Anomaly detection Deployment Experience Proven track record of deploying or partnering on customer-facing production ML systems . Proficiency in Python and SQL (experience with distributed or cloud based data platforms is a plus) Ability to communicate technical ideas clearly to both technical and non technical audiences Working for you: We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days Health screening, eye care vouchers and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme Travel Season ticket loan Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you Access to employee resource groups with dedicated time to volunteer Access to extensive learning and development resources Access to employee discounts scheme via Perks at WorkLearn more about the LexisNexis Risk team and how we work We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams . Please read our .We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: . Cirium offers aviation and air travel data and analytics to help keep the world in motion. Our people are at the center of who we are and what we do. We put the interests of our customers unmistakably first, we are empowered by the trust we earn from each other and our customers, we share a common global vision for Cirium based diversity, inclusion and collaboration and our passion for discovery will transform industries. Our team delivers insight, built from decades of experience in the sector, enabling travel companies, aircraft manufacturers, airports, airlines and financial institutions, among others, to make logical and informed decisions which shape the future of travel, growing revenues and enhancing customer experiences.
Lead Data Scientist - Credit Modelling & Data Products My client is building a next-generation data and analytics capability using large-scale financial datasets spanning millions of records. Their goal is to transform complex data into predictive insights, industry intelligence, and innovative data products that create real business value. This is a unique opportunity for an experienced Lead Data Scientist to join a small, high-impact innovation team, working directly with executive leadership. You will take ownership of the most challenging technical problems, from data modelling and forecasting through to production deployment of predictive analytics solutions in a regulated financial services environment. As Lead Data Scientist, you will be responsible for designing, building, and governing predictive models that support data-driven products and strategic decision-making. You will work closely with engineering and product teams to transform raw data into robust, auditable, and commercially valuable solutions. Key Responsibilities Partner with data engineering teams to extract, cleanse, and consolidate large customer datasets into modelling-ready environments. Develop predictive models for use within regulated financial services and credit risk environments. Own the full data science life cycle, including: Exploratory Data Analysis (EDA) Feature engineering and selection Model development and validation Calibration and performance monitoring Build forecasting models, simulations, and stress-testing frameworks to support risk and product decisions. Maintain fully auditable, version-controlled, and reproducible modelling workflows. Collaborate with product stakeholders to rapidly transform concepts into scalable data products. Contribute to model governance frameworks and ensure compliance with regulatory requirements. Skills & Experience Technical Expertise Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL . Hands-on experience with Snowflake or similar cloud-based data warehouse platforms. Experience using Git and reproducible development practices. Strong understanding of data pipelines, data quality, and analytics engineering principles. Credit Modelling & Predictive Analytics Proven experience conducting rigorous exploratory data analysis and feature engineering. Experience building predictive models in regulated financial services environments, ideally within: Retail banking Commercial banking Asset securitisation Credit management Expertise developing and deploying credit risk models, including: Probability of Default (PD) models Scorecards Risk segmentation models Experience evaluating and implementing challenger models such as XGBoost while balancing explainability and regulatory requirements. Strong understanding of model performance metrics including AUC, Gini, KS, calibration, and business impact measurement. Experience deploying production-ready models with monitoring, retraining triggers, and controls against issues such as target leakage. Governance & Regulatory Knowledge Experience operating within model risk governance frameworks, including documentation, validation, and audit requirements. Strong understanding of GDPR and automated decision-making considerations. Awareness of emerging AI regulations, including the EU AI Act and related governance requirements. Knowledge of security-by-design principles when working with sensitive financial and personal data. Why Join Us? Opportunity to shape and build a new data products capability from the ground up. Direct exposure to senior leadership and strategic decision-making. Work on complex, high-value datasets and industry-leading predictive analytics challenges. Join a collaborative environment that values innovation, ownership, and impact. Competitive salary and benefits package with flexible hybrid working. If you're passionate about turning complex financial data into meaningful products and insights, we'd love to hear from you. Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website
25/06/2026
Full time
Lead Data Scientist - Credit Modelling & Data Products My client is building a next-generation data and analytics capability using large-scale financial datasets spanning millions of records. Their goal is to transform complex data into predictive insights, industry intelligence, and innovative data products that create real business value. This is a unique opportunity for an experienced Lead Data Scientist to join a small, high-impact innovation team, working directly with executive leadership. You will take ownership of the most challenging technical problems, from data modelling and forecasting through to production deployment of predictive analytics solutions in a regulated financial services environment. As Lead Data Scientist, you will be responsible for designing, building, and governing predictive models that support data-driven products and strategic decision-making. You will work closely with engineering and product teams to transform raw data into robust, auditable, and commercially valuable solutions. Key Responsibilities Partner with data engineering teams to extract, cleanse, and consolidate large customer datasets into modelling-ready environments. Develop predictive models for use within regulated financial services and credit risk environments. Own the full data science life cycle, including: Exploratory Data Analysis (EDA) Feature engineering and selection Model development and validation Calibration and performance monitoring Build forecasting models, simulations, and stress-testing frameworks to support risk and product decisions. Maintain fully auditable, version-controlled, and reproducible modelling workflows. Collaborate with product stakeholders to rapidly transform concepts into scalable data products. Contribute to model governance frameworks and ensure compliance with regulatory requirements. Skills & Experience Technical Expertise Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL . Hands-on experience with Snowflake or similar cloud-based data warehouse platforms. Experience using Git and reproducible development practices. Strong understanding of data pipelines, data quality, and analytics engineering principles. Credit Modelling & Predictive Analytics Proven experience conducting rigorous exploratory data analysis and feature engineering. Experience building predictive models in regulated financial services environments, ideally within: Retail banking Commercial banking Asset securitisation Credit management Expertise developing and deploying credit risk models, including: Probability of Default (PD) models Scorecards Risk segmentation models Experience evaluating and implementing challenger models such as XGBoost while balancing explainability and regulatory requirements. Strong understanding of model performance metrics including AUC, Gini, KS, calibration, and business impact measurement. Experience deploying production-ready models with monitoring, retraining triggers, and controls against issues such as target leakage. Governance & Regulatory Knowledge Experience operating within model risk governance frameworks, including documentation, validation, and audit requirements. Strong understanding of GDPR and automated decision-making considerations. Awareness of emerging AI regulations, including the EU AI Act and related governance requirements. Knowledge of security-by-design principles when working with sensitive financial and personal data. Why Join Us? Opportunity to shape and build a new data products capability from the ground up. Direct exposure to senior leadership and strategic decision-making. Work on complex, high-value datasets and industry-leading predictive analytics challenges. Join a collaborative environment that values innovation, ownership, and impact. Competitive salary and benefits package with flexible hybrid working. If you're passionate about turning complex financial data into meaningful products and insights, we'd love to hear from you. Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website
GTR are recruiting a Insights Lead based out of Monument Place This is a great opportunity for an individual with a proven track record to work for one of the country's busiest and award-winning rail companies. Job Purpose As Insight Lead, you will lead the development and application of advanced analytics, machine learning and AI-driven insight across GTR, ensuring data is used ethically, effectively and in line with robust governance. You will partner closely with senior stakeholders to translate operational, safety and commercial priorities into impactful analytical models and interventions. You will provide strategic oversight of insight development on top of the DataHub platform, ensuring consistent standards for model development, validation, deployment and benefits realisation, while acting as a key interface between the central Data & AI function and the wider business. This role requires deep professional expertise in analytics and machine learning, combined with sufficient organisational understanding to apply these techniques effectively within GTR's operational and safety critical context. Key Accountabilities Provide strategic leadership for advanced analytics, machinelearningand AI use-cases across GTR, ensuring alignment to the Data & AI strategy. Accountable for the quality, robustness and limitations of insight produced, and for clearly communicating these to decision makers; ownership of strategic direction for Data & AIremainswith the Head of Data & AI. Operate effectively in ambiguous problem spaces where analytical approaches, data availability or outcomes are not fully defined, exercising judgement in developingappropriate modellingand insight techniques. Lead the design and delivery of predictive and prescriptive models, including (but not limited to) fraud detection, incident reduction, service examoptimisationand intervention prioritisation. Establish andmaintaingovernance frameworks for models, including model lifecycle management, validation, documentation,monitoringand ethical use of AI. Partner with Directorates and data owners toidentifyhigh valueinsight opportunities and translate these into clear, deliverable analytical products. Oversee the effective use of Copilot Studio and Fabric agents whereappropriate toaugment insight delivery and decision-making. Ensure insight outputs are measurable, outcome-driven and linked to tangible operational or financial benefit. Provide direction and oversight to Data Scientists, ensuring consistent standards,toolingand ways of working. Act as a senior escalation point for insight-related risks,assumptionsand modelling limitations. Context The role sits within the central Data & AI function, working on top of GTR'sDataHubplatform, which ingests andcuratesdata from core operational systems. While data engineering is centralised, insight and analysis must be delivered in close partnership with the business, particularly in safety critical and operational environments. Knowledge Strong understanding of advanced analytics, machinelearningand applied AI in operational environments. Knowledge of data governance, modelgovernanceand responsible AI principles. Understanding of rail orsafety criticalindustries is desirable. Skills Strong ability to translate complex analytical techniques into clear business insight and decision support. Excellent stakeholder engagement skills, with the ability to influence at senior levels. Strategic thinking combined withhands onanalytical capability. Comfortable operating in ambiguous, evolving problem spaces. Experience Experience delivering data engineering solutions in an enterprise orlarge-scaleenvironment. Experience supporting reporting and analytics platforms (e.g. Power BI). Experience working within formal delivery,governanceand change management processes. Degree in Data Science, Computer Science, Statistics, Mathematics or related discipline or equivalent experience. Benefits Final salary pension Free travel on GTR and sister groups for you and your family 75% off travel on other train operating companies for you, and leisure for your family Discounted Oyster Card GTR offers maternity, paternity and adoption leave and time off for prenatal care, as well as shared parental leave - all part of our commitment to family friendly policies StarHub-our great benefits package which, for example, includes discounts with many retailers.
25/06/2026
Full time
GTR are recruiting a Insights Lead based out of Monument Place This is a great opportunity for an individual with a proven track record to work for one of the country's busiest and award-winning rail companies. Job Purpose As Insight Lead, you will lead the development and application of advanced analytics, machine learning and AI-driven insight across GTR, ensuring data is used ethically, effectively and in line with robust governance. You will partner closely with senior stakeholders to translate operational, safety and commercial priorities into impactful analytical models and interventions. You will provide strategic oversight of insight development on top of the DataHub platform, ensuring consistent standards for model development, validation, deployment and benefits realisation, while acting as a key interface between the central Data & AI function and the wider business. This role requires deep professional expertise in analytics and machine learning, combined with sufficient organisational understanding to apply these techniques effectively within GTR's operational and safety critical context. Key Accountabilities Provide strategic leadership for advanced analytics, machinelearningand AI use-cases across GTR, ensuring alignment to the Data & AI strategy. Accountable for the quality, robustness and limitations of insight produced, and for clearly communicating these to decision makers; ownership of strategic direction for Data & AIremainswith the Head of Data & AI. Operate effectively in ambiguous problem spaces where analytical approaches, data availability or outcomes are not fully defined, exercising judgement in developingappropriate modellingand insight techniques. Lead the design and delivery of predictive and prescriptive models, including (but not limited to) fraud detection, incident reduction, service examoptimisationand intervention prioritisation. Establish andmaintaingovernance frameworks for models, including model lifecycle management, validation, documentation,monitoringand ethical use of AI. Partner with Directorates and data owners toidentifyhigh valueinsight opportunities and translate these into clear, deliverable analytical products. Oversee the effective use of Copilot Studio and Fabric agents whereappropriate toaugment insight delivery and decision-making. Ensure insight outputs are measurable, outcome-driven and linked to tangible operational or financial benefit. Provide direction and oversight to Data Scientists, ensuring consistent standards,toolingand ways of working. Act as a senior escalation point for insight-related risks,assumptionsand modelling limitations. Context The role sits within the central Data & AI function, working on top of GTR'sDataHubplatform, which ingests andcuratesdata from core operational systems. While data engineering is centralised, insight and analysis must be delivered in close partnership with the business, particularly in safety critical and operational environments. Knowledge Strong understanding of advanced analytics, machinelearningand applied AI in operational environments. Knowledge of data governance, modelgovernanceand responsible AI principles. Understanding of rail orsafety criticalindustries is desirable. Skills Strong ability to translate complex analytical techniques into clear business insight and decision support. Excellent stakeholder engagement skills, with the ability to influence at senior levels. Strategic thinking combined withhands onanalytical capability. Comfortable operating in ambiguous, evolving problem spaces. Experience Experience delivering data engineering solutions in an enterprise orlarge-scaleenvironment. Experience supporting reporting and analytics platforms (e.g. Power BI). Experience working within formal delivery,governanceand change management processes. Degree in Data Science, Computer Science, Statistics, Mathematics or related discipline or equivalent experience. Benefits Final salary pension Free travel on GTR and sister groups for you and your family 75% off travel on other train operating companies for you, and leisure for your family Discounted Oyster Card GTR offers maternity, paternity and adoption leave and time off for prenatal care, as well as shared parental leave - all part of our commitment to family friendly policies StarHub-our great benefits package which, for example, includes discounts with many retailers.
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category: Sales About Salesforce Salesforce is the AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Overview of the Role Lead pre sales technical design by analyzing customer needs and recommending solutions aligned with Agentforce capabilities and integration with external agent frameworks. Shape best practices around generative AI, agent interoperability, prompt engineering, Data 360, and cross platform integrations. Collaborate with AEs and SEs to build hands on prototypes and demos using Agentforce and integrated external agents. Develop thought leadership content demo templates, whitepapers, enablement sessions focused on agent lifecycle, integration strategy, technical effectiveness and latest innovation trends. Act as a central technical knowledge resource, proactively addressing internal technical inquiries, facilitating deep technical enablement, and documenting best practices to empower specialist teams across the organization. You are naturally curious about AI and Data, love diving into new technologies, and enjoy educating others while crafting solutions that deliver real business impact, we want to talk to you! Responsibilities Understand Agent Interoperability - Map and integrate external agents from hyperscalers (e.g., Copilot, Gemini) into Agentforce via open standards (MCP, A2A); design how these systems collaborate. Enable Conversational & Background Agents - Use Agentforce Studio and Agent Builder to configure chat and background agents; integrate with external channels including voice via hyperscaler APIs. Drive Prompt Engineering & Lifecycle Strategy - Lead prompt design, testing, monitoring, and iteration; define agent lifecycle best practices from development through refinement. Build Hands On Demos & Prototypes - Co create quick prototypes ( Lead Pre Sales Workshops - Facilitate whiteboarding, deep dive sessions, and quick enablement for customers and internal teams. Advise on Data & Integration - Integrate Data Cloud (D360), CRM, MuleSoft APIs, and external agent endpoints ensuring cohesive architectures that align with compliance and governance policies. Support Early Adoption - Occasionally assist in proof of value engagements post sale by tuning agents and guiding customers toward self sufficient enablement. Own Technical Architecture Decisions - Oversee data modeling, identity resolution, real time vs. batch patterns, data graph design, and activation strategies within D360. Own Technical Enablement - Create and manage accessible technical documentation, knowledge bases, and FAQ resources to rapidly resolve internal technical inquiries, empowering specialist teams to handle technical discussions confidently. Required Qualifications Technical Pre Sales/Consulting - 7+ years of hands on experience designing and delivering data, analytics, and AI architectures in enterprise environments. Salesforce Expertise - Hands on experience with Salesforce Agentforce and deep fluency with D360 and core Salesforce platform services. External Ecosystem Knowledge - Strong understanding of external agent ecosystems and interoperability. Proven Track Record - Experience in prompt engineering, agent lifecycle management, and hands on prototype development. AI & ML Expertise - Experience with machine learning concepts (predictive and generative AI), plus the ability to communicate value to diverse audiences. Data Stack Knowledge - Deep expertise in modern cloud data platforms (Snowflake, Databricks, BigQuery, Redshift) and data ingestion patterns (batch, streaming, CDC). Hands On Development - Proficiency in programming (e.g., JavaScript, Python, SQL, R) and data frameworks like pandas or Jupyter. Excellent Communication - Strong presentation skills; adept at explaining complex ideas and guiding stakeholders toward impactful solutions. Curiosity & Continuous Learning - Passion for exploring new AI frameworks, sharing insights, and experimenting with cutting edge technologies. Preferred Qualifications Advanced Integration - Experience integrating Salesforce with external agents via APIs and open standards (MCP, A2A). Governance & Observability - Familiarity with prompt governance, observability, monitoring frameworks, responsible AI and compliance best practices. Cross Platform Background - Background in cross platform integrations (e.g., Hyperscaler SDKs to Salesforce Flows). Multimodal Pipelines - Prior exposure to conversational voice pipelines or multimodal integrations via hyperscaler services. Advanced AI/ML Frameworks - Exposure to frameworks (TensorFlow, PyTorch), MLOps practices, and cloud AI platforms like Google Vertex AI or AWS Sagemaker. Education - BS in Computer Science, Engineering, Data Science, or equivalent technical field. Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. If you would like to apply under the UK Disability Confident Scheme, please click the link to the Accommodations Request Form above and scroll to the UK Disability Confident Scheme section within the form. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non discrimination with all employees and applicants for employment. We believe in equality for all and strive to create a workplace that's inclusive and free from discrimination. Recruiting, hiring, and promotion decisions are fair and based on merit. The same applies to compensation, benefits, promotion, training, and other employment matters. We are a recognized Disability Confident member under the UK Government Disability Confident employer scheme.
25/06/2026
Full time
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category: Sales About Salesforce Salesforce is the AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Overview of the Role Lead pre sales technical design by analyzing customer needs and recommending solutions aligned with Agentforce capabilities and integration with external agent frameworks. Shape best practices around generative AI, agent interoperability, prompt engineering, Data 360, and cross platform integrations. Collaborate with AEs and SEs to build hands on prototypes and demos using Agentforce and integrated external agents. Develop thought leadership content demo templates, whitepapers, enablement sessions focused on agent lifecycle, integration strategy, technical effectiveness and latest innovation trends. Act as a central technical knowledge resource, proactively addressing internal technical inquiries, facilitating deep technical enablement, and documenting best practices to empower specialist teams across the organization. You are naturally curious about AI and Data, love diving into new technologies, and enjoy educating others while crafting solutions that deliver real business impact, we want to talk to you! Responsibilities Understand Agent Interoperability - Map and integrate external agents from hyperscalers (e.g., Copilot, Gemini) into Agentforce via open standards (MCP, A2A); design how these systems collaborate. Enable Conversational & Background Agents - Use Agentforce Studio and Agent Builder to configure chat and background agents; integrate with external channels including voice via hyperscaler APIs. Drive Prompt Engineering & Lifecycle Strategy - Lead prompt design, testing, monitoring, and iteration; define agent lifecycle best practices from development through refinement. Build Hands On Demos & Prototypes - Co create quick prototypes ( Lead Pre Sales Workshops - Facilitate whiteboarding, deep dive sessions, and quick enablement for customers and internal teams. Advise on Data & Integration - Integrate Data Cloud (D360), CRM, MuleSoft APIs, and external agent endpoints ensuring cohesive architectures that align with compliance and governance policies. Support Early Adoption - Occasionally assist in proof of value engagements post sale by tuning agents and guiding customers toward self sufficient enablement. Own Technical Architecture Decisions - Oversee data modeling, identity resolution, real time vs. batch patterns, data graph design, and activation strategies within D360. Own Technical Enablement - Create and manage accessible technical documentation, knowledge bases, and FAQ resources to rapidly resolve internal technical inquiries, empowering specialist teams to handle technical discussions confidently. Required Qualifications Technical Pre Sales/Consulting - 7+ years of hands on experience designing and delivering data, analytics, and AI architectures in enterprise environments. Salesforce Expertise - Hands on experience with Salesforce Agentforce and deep fluency with D360 and core Salesforce platform services. External Ecosystem Knowledge - Strong understanding of external agent ecosystems and interoperability. Proven Track Record - Experience in prompt engineering, agent lifecycle management, and hands on prototype development. AI & ML Expertise - Experience with machine learning concepts (predictive and generative AI), plus the ability to communicate value to diverse audiences. Data Stack Knowledge - Deep expertise in modern cloud data platforms (Snowflake, Databricks, BigQuery, Redshift) and data ingestion patterns (batch, streaming, CDC). Hands On Development - Proficiency in programming (e.g., JavaScript, Python, SQL, R) and data frameworks like pandas or Jupyter. Excellent Communication - Strong presentation skills; adept at explaining complex ideas and guiding stakeholders toward impactful solutions. Curiosity & Continuous Learning - Passion for exploring new AI frameworks, sharing insights, and experimenting with cutting edge technologies. Preferred Qualifications Advanced Integration - Experience integrating Salesforce with external agents via APIs and open standards (MCP, A2A). Governance & Observability - Familiarity with prompt governance, observability, monitoring frameworks, responsible AI and compliance best practices. Cross Platform Background - Background in cross platform integrations (e.g., Hyperscaler SDKs to Salesforce Flows). Multimodal Pipelines - Prior exposure to conversational voice pipelines or multimodal integrations via hyperscaler services. Advanced AI/ML Frameworks - Exposure to frameworks (TensorFlow, PyTorch), MLOps practices, and cloud AI platforms like Google Vertex AI or AWS Sagemaker. Education - BS in Computer Science, Engineering, Data Science, or equivalent technical field. Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. If you would like to apply under the UK Disability Confident Scheme, please click the link to the Accommodations Request Form above and scroll to the UK Disability Confident Scheme section within the form. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non discrimination with all employees and applicants for employment. We believe in equality for all and strive to create a workplace that's inclusive and free from discrimination. Recruiting, hiring, and promotion decisions are fair and based on merit. The same applies to compensation, benefits, promotion, training, and other employment matters. We are a recognized Disability Confident member under the UK Government Disability Confident employer scheme.
Competitive Intelligence DirectorJob DescriptionCompetitive Intelligence Director - Specialty CareWe are currently seeking to recruit an experienced Competitive Intelligence Director for our Specialty Care Therapy Area (TA). This is a key role in supporting the Medicines Commercial Teams (MCTs) and Medicines Development Teams (MDTs). As such you will act as an objective, critical and strategic advisor based on your deep expertise in current and future competitive drivers in the market. An opportunity like this rarely arises and we are looking for an exceptional individual who through their insightful and objective analysis of the established and emerging competitive environment can help shape GSK brand and portfolio strategies, now and for the future.Key responsibilities:As a full-time member of the Global Competitive Intelligence team aligned to Global Product Strategy in Speciality Care, you will be responsible forDedicated competitive intelligence support for inline products, pipeline products, Licensing/Business Development opportunities & other strategic assessments We are currently seeking to recruit an experienced Competitive Intelligence Director for our Specialty Care Therapy Area (TA). This is a key role in supporting the Medicines Commercial Teams (MCTs) and Medicines Development Teams (MDTs). As such you will act as an objective, critical and strategic advisor based on your deep expertise in current and future competitive drivers in the market. An opportunity like this rarely arises and we are looking for an exceptional individual who through their insightful and objective analysis of the established and emerging competitive environment can help shape GSK brand and portfolio strategies, now and for the future.Key responsibilities:As a full-time member of the Global Competitive Intelligence team aligned to Global Product Strategy in Speciality Care, you will be responsible forDedicated competitive intelligence support for inline products, pipeline products, Licensing/Business Development opportunities & other strategic assessmentsDevelopment of timely and actionable competitive insights including effective integration, consolidation and communication of scientific data analyses and insights at both disease and asset levelIntegrating primary and secondary information sources to derive competitive insights for in-scope pipeline assets, develop insights on competitor development strategies, tactics and potential positioning to ensure competitiveness of GSK assetsAct as an objective, critical and strategic advisor to asset teams based on deep expertise in current and future competitive drivers in the marketplaceLead competitive intelligence planning for key congresses with input from GSK teams and manage third party agency when vendor support required. Drive GSK team preparedness, ensuring key intelligence questions developed, aligning onsite activities and consolidating key insights and disseminating post-congressExpert use of a wide range of competitor information sources to support clinical development plans and product profile discussions, development of commercial forecasts, investment and brand strategy decisions (including evidence generation)Managing the resourcing and capabilities of a dedicated CI offshore team and CI vendors making sure that the team(s) are optimized to deliver maximum value and on-time delivery to stakeholdersDevelop holistic and predictive competitor landscape assessments based on a thorough understanding and analysis of internal and external business issues using robust CI sources and innovative methodologies and ensure integration of intelligence and CI deliverables into asset development, strategic forecasting, evidence generation and strategic decision makingLead cross-functional scenarios analysis and competitive simulation workshops with key MCT and MDT stakeholdersManage CI budget on behalf of asset team and engage third party agencies as appropriate. Ensure all CI research activities are conducted within appropriate GSK code of conduct, compliance and ethical business practices.Why You?Basic Qualifications:The job holder will work with a team of specialists to deliver competitive analysis and strategic recommendations to help shape and future-proof our therapy area strategies. The job holder will shape strategy and influence investment decisions by delivering analysis, insights and recommendations to Senior Leadership and other key partners to ensure a full understanding of the constantly evolving oncology landscape.Significant experiencein Pharmaceuticals (drug development, competitive intelligence, insights and analytics), strategic management consultancy or as a Pharma/Biotech financial analyst.Extensive experience in providing insightful and actionable insights through innovative approachesWillingness to spend 20-30% of time on travel to US and EU medical congresses and internal team meetingsThe ideal candidate would be based in the UK or US and have work permission to reside and work in either of these geographies.Preferred Qualifications:Educated to PhD, MD or Masters level in a biology/medical/pharmaceuticals disciplineSignificant work experience within the healthcare/ pharmaceutical sectorExperience of working within respiratory, immunology, hepatology, rare diseases fields preferredExtensive experience in attending and covering medical congressesA clear communicator with the ability to communicate complex issues simplyA critical, innovative thinker with a background in pharmaceuticals, clinical / research, consultancy or investment analysisExperienced in working within a global matrix environment, across a range of functions, seniority, and geographical locationsProven ability to challenge, influence and support senior stakeholdersClosing Date for Applications: 30/06/2026 (EOD)Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application.We encourage you to apply as soon as possible, as we may close the role early if we receive a high volume of applications.Why GSK?Uniting science, technology and talent to get ahead of disease together.GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive.We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases - to impact health at scale.People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at where you can also request a call.Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a Recruitment FAQ guide.Important notice to Employment businesses/ AgenciesGSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at
24/06/2026
Full time
Competitive Intelligence DirectorJob DescriptionCompetitive Intelligence Director - Specialty CareWe are currently seeking to recruit an experienced Competitive Intelligence Director for our Specialty Care Therapy Area (TA). This is a key role in supporting the Medicines Commercial Teams (MCTs) and Medicines Development Teams (MDTs). As such you will act as an objective, critical and strategic advisor based on your deep expertise in current and future competitive drivers in the market. An opportunity like this rarely arises and we are looking for an exceptional individual who through their insightful and objective analysis of the established and emerging competitive environment can help shape GSK brand and portfolio strategies, now and for the future.Key responsibilities:As a full-time member of the Global Competitive Intelligence team aligned to Global Product Strategy in Speciality Care, you will be responsible forDedicated competitive intelligence support for inline products, pipeline products, Licensing/Business Development opportunities & other strategic assessments We are currently seeking to recruit an experienced Competitive Intelligence Director for our Specialty Care Therapy Area (TA). This is a key role in supporting the Medicines Commercial Teams (MCTs) and Medicines Development Teams (MDTs). As such you will act as an objective, critical and strategic advisor based on your deep expertise in current and future competitive drivers in the market. An opportunity like this rarely arises and we are looking for an exceptional individual who through their insightful and objective analysis of the established and emerging competitive environment can help shape GSK brand and portfolio strategies, now and for the future.Key responsibilities:As a full-time member of the Global Competitive Intelligence team aligned to Global Product Strategy in Speciality Care, you will be responsible forDedicated competitive intelligence support for inline products, pipeline products, Licensing/Business Development opportunities & other strategic assessmentsDevelopment of timely and actionable competitive insights including effective integration, consolidation and communication of scientific data analyses and insights at both disease and asset levelIntegrating primary and secondary information sources to derive competitive insights for in-scope pipeline assets, develop insights on competitor development strategies, tactics and potential positioning to ensure competitiveness of GSK assetsAct as an objective, critical and strategic advisor to asset teams based on deep expertise in current and future competitive drivers in the marketplaceLead competitive intelligence planning for key congresses with input from GSK teams and manage third party agency when vendor support required. Drive GSK team preparedness, ensuring key intelligence questions developed, aligning onsite activities and consolidating key insights and disseminating post-congressExpert use of a wide range of competitor information sources to support clinical development plans and product profile discussions, development of commercial forecasts, investment and brand strategy decisions (including evidence generation)Managing the resourcing and capabilities of a dedicated CI offshore team and CI vendors making sure that the team(s) are optimized to deliver maximum value and on-time delivery to stakeholdersDevelop holistic and predictive competitor landscape assessments based on a thorough understanding and analysis of internal and external business issues using robust CI sources and innovative methodologies and ensure integration of intelligence and CI deliverables into asset development, strategic forecasting, evidence generation and strategic decision makingLead cross-functional scenarios analysis and competitive simulation workshops with key MCT and MDT stakeholdersManage CI budget on behalf of asset team and engage third party agencies as appropriate. Ensure all CI research activities are conducted within appropriate GSK code of conduct, compliance and ethical business practices.Why You?Basic Qualifications:The job holder will work with a team of specialists to deliver competitive analysis and strategic recommendations to help shape and future-proof our therapy area strategies. The job holder will shape strategy and influence investment decisions by delivering analysis, insights and recommendations to Senior Leadership and other key partners to ensure a full understanding of the constantly evolving oncology landscape.Significant experiencein Pharmaceuticals (drug development, competitive intelligence, insights and analytics), strategic management consultancy or as a Pharma/Biotech financial analyst.Extensive experience in providing insightful and actionable insights through innovative approachesWillingness to spend 20-30% of time on travel to US and EU medical congresses and internal team meetingsThe ideal candidate would be based in the UK or US and have work permission to reside and work in either of these geographies.Preferred Qualifications:Educated to PhD, MD or Masters level in a biology/medical/pharmaceuticals disciplineSignificant work experience within the healthcare/ pharmaceutical sectorExperience of working within respiratory, immunology, hepatology, rare diseases fields preferredExtensive experience in attending and covering medical congressesA clear communicator with the ability to communicate complex issues simplyA critical, innovative thinker with a background in pharmaceuticals, clinical / research, consultancy or investment analysisExperienced in working within a global matrix environment, across a range of functions, seniority, and geographical locationsProven ability to challenge, influence and support senior stakeholdersClosing Date for Applications: 30/06/2026 (EOD)Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application.We encourage you to apply as soon as possible, as we may close the role early if we receive a high volume of applications.Why GSK?Uniting science, technology and talent to get ahead of disease together.GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive.We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases - to impact health at scale.People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at where you can also request a call.Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a Recruitment FAQ guide.Important notice to Employment businesses/ AgenciesGSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at
Data Science Analyst - Travel 60,000 - 70,000 Pro Rata (DOE) Outskirts of Crawley Hybrid Working (2 Days Office / 3 Days WFH) Immediate Start Potential Permanent Opportunity Lloyd Recruitment Services is pleased to be working with a leading travel and leisure organisation to recruit a Data Science Analyst for a newly created position within their Commercial team. Reporting to the Commercial lead, this is an exciting opportunity to join a well-established organisation that is investing heavily in data, analytics, AI and commercial insight. Initially offered on a fixed-term basis, the role has strong potential to become permanent. The Data Science Analyst Role Working closely with the Lead Commercial Analyst, you will use data to drive business performance across membership, travel, leisure and financial service products. You'll be responsible for delivering meaningful insights, developing predictive models, supporting forecasting activities and helping shape the organisation's data science capabilities. Data Science Analyst Key Responsibilities Deliver commercial reporting, management information and KPI dashboards Analyse large and complex datasets to identify trends, opportunities and root causes Build predictive models to support customer acquisition, retention and lifetime value initiatives Support revenue, demand and occupancy forecasting Develop commercial models to evaluate business opportunities and promotions Champion AI and automation initiatives across commercial and marketing teams Create clear, actionable insights for senior stakeholders Work with technical teams to improve data quality and reporting processes About You Industry experience across one or more of the following: travel & tourism, hospitality, memberships, subscriptions or insurance - essential Proven experience in a Data Science, Data Analytics or Commercial Analytics role Advanced SQL and strong data manipulation skills Experience using Python or R for predictive modelling and machine learning Strong dashboarding and visualisation skills using Tableau, Power BI or similar Excellent commercial awareness and analytical thinking Ability to communicate complex findings to non-technical audiences Degree educated in a numerical discipline such as Data Science, Statistics, Mathematics, Economics or Physics What's on Offer 60,000 - 70,000 pro rata (DOE) Hybrid working - 2 days office, 3 days from home Newly created role with significant business exposure Opportunity to influence commercial strategy and AI adoption Potential for the role to become permanent Immediate start available (ideally start within a months' notice) If you're a commercially minded data professional looking to combine analytics, predictive modelling and business insight in a high-impact role, we'd love to hear from you. Lloyd Recruitment Services are acting as an employment agency for this vacancy and are an equal opportunities employer.
23/06/2026
Full time
Data Science Analyst - Travel 60,000 - 70,000 Pro Rata (DOE) Outskirts of Crawley Hybrid Working (2 Days Office / 3 Days WFH) Immediate Start Potential Permanent Opportunity Lloyd Recruitment Services is pleased to be working with a leading travel and leisure organisation to recruit a Data Science Analyst for a newly created position within their Commercial team. Reporting to the Commercial lead, this is an exciting opportunity to join a well-established organisation that is investing heavily in data, analytics, AI and commercial insight. Initially offered on a fixed-term basis, the role has strong potential to become permanent. The Data Science Analyst Role Working closely with the Lead Commercial Analyst, you will use data to drive business performance across membership, travel, leisure and financial service products. You'll be responsible for delivering meaningful insights, developing predictive models, supporting forecasting activities and helping shape the organisation's data science capabilities. Data Science Analyst Key Responsibilities Deliver commercial reporting, management information and KPI dashboards Analyse large and complex datasets to identify trends, opportunities and root causes Build predictive models to support customer acquisition, retention and lifetime value initiatives Support revenue, demand and occupancy forecasting Develop commercial models to evaluate business opportunities and promotions Champion AI and automation initiatives across commercial and marketing teams Create clear, actionable insights for senior stakeholders Work with technical teams to improve data quality and reporting processes About You Industry experience across one or more of the following: travel & tourism, hospitality, memberships, subscriptions or insurance - essential Proven experience in a Data Science, Data Analytics or Commercial Analytics role Advanced SQL and strong data manipulation skills Experience using Python or R for predictive modelling and machine learning Strong dashboarding and visualisation skills using Tableau, Power BI or similar Excellent commercial awareness and analytical thinking Ability to communicate complex findings to non-technical audiences Degree educated in a numerical discipline such as Data Science, Statistics, Mathematics, Economics or Physics What's on Offer 60,000 - 70,000 pro rata (DOE) Hybrid working - 2 days office, 3 days from home Newly created role with significant business exposure Opportunity to influence commercial strategy and AI adoption Potential for the role to become permanent Immediate start available (ideally start within a months' notice) If you're a commercially minded data professional looking to combine analytics, predictive modelling and business insight in a high-impact role, we'd love to hear from you. Lloyd Recruitment Services are acting as an employment agency for this vacancy and are an equal opportunities employer.
Senior Machine Learning Scientist - Advanced AI & Automation page is loaded Senior Machine Learning Scientist - Advanced AI & Automationlocations: Royston: Home Office United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: R38797Join our Corporate Research team as a Senior Machine Learning Scientist.We are looking for a Senior Machine Learning Scientist to join the Corporate Reserach department at Sartorius. You will use your expertise in modern machine learning, computer vision and robotics to design AI - driven automaton for next - generation Sartorius instruments and lab workflows used by major life science and biopharmaceutical companies worldwide. This role requires expertise in Large Language Models (LLMs), Vision - Language Models (VLMs) and multi - agent systems to orchestrate complex, robotics - driven end - to - end experimental and manufacturing workflows.Working with Sartorius you will have unique access to large scale, high quality biological and process data across different bioanalytics and bioprocess modalities, from live - cell imaging to bioreactor operations and lab instrumentation telemetry. You will also contribute to our collaboration with NVIDIA, using advanced AI computing platforms to accelerate the development of smarter, more autonomous research and manufacturing solutions.You will join a very talented interdisciplinary and global data science team in Corporate Research that develops AI and advanced analytics solutions that "moves the needle" in what is currently possible. You are driven by curiosity and problem solving, and your personal initiative will translate into innovations that simplify progress for our customers, from early-stage drug discovery to the production of biologics that treat life - threatening and chronic diseases.This position is available full-time, with opportunity to be based remotely in the UK, with required travel regularly Sartorius relevant sites eg.: Royston near Cambridge. Grow with us - Your Responsibilities You will design and deploy AI - driven solutions for robotics, lab automation and smart instruments, including orchestration of liquid handling systems, incubators, imaging devices and analytical sensors Develop and optimize architectures leveraging LLMs and VLMs for multimodal perception, control and exception - handling in automated laboratory and manufacturing workflows Build intelligent scheduling and planning agents to coordinate fleets of devices and robots, enabling closed-loop experimentation, process optimization and autonomous lab operations. Apply graph-based and sequential models to represent experimental workflows, material flows and equipment state, improving predictive maintenance and process robustness. Integrate AI agents with automation frameworks, messaging systems and device APIs to enable reliable data and command flows across Sartorius' digital and bioprocessing ecosystem. Collaborate closely with robotics, software, process engineering and product teams to translate user needs into robust, production-grade AI and automation capabilities What will convince us Master's or PhD degree in Computer Science, Robotics, Machine Learning, Control Engineering or related disciplines Experience with LLMs (e.g.: GPT, LLaMA) and VLMs (e.g.: CLIP, Flamingo) applied to perception, workflow guidance or automation use cases Hands on experience with multi - agent systems and orchestration frameworks or robotics middleware (e.g.: ROS, OPC UA, message queues) Practical experience with robotics, lab automation, industrial automation or autonomous systems; exposure to life science or bioprocess environments is a strong plus Proficiency in Python and deep learning frameworks such as PyTorch or Tensorflow Basic knowledge of graph theory, planning or reinforcement learning and their application to decision - making in complex systems Understanding of distributed systems, APIs and cloud - based deployment of AI and automation services Ability to communicate complex technical concepts to interdisciplinary teams and non - experts You describe yourself as a conceptual and creative thinker with excellent organizational and communication skills (both written and verbal) You have the ability to work collaboratively with colleagues within a large, matrix - based organizationIn order to commence working with us, the successful candidate will have the right to work in the UK. What we offer As a growing global life science company, stock listed on the German TecDAX, Sartorius offers a wide range of benefits: Personal and Professional Development: mentoring, leadership programs, LinkedIn Learning, internal seminar offerings Work-life Balance: Remote options, flexible work schedules Making an impact right from the start: Comprehensive onboarding, including a virtual online platform - even before joining Welcoming Culture: Mutual support, team-spirit and international collaboration; communities on numerous topics such as coaching, agile working and businesswomen network Health & Well-Being : Wide section of health and well-being support such as healthcare plans and health assessment services Royston Benefits Attractive Working Conditions: 37.5 hours working week 25 days annual leave, plus public holidays Free parking on site Annual option to buy, sell or carry forward annual leave Free hot and cold drinks Regular social events and free exercise classes Competitive benefits package, including: + Group Personal Pension Plan + Private Medical Insurance + Private Dental Insurance + Group Life Assurance + Group Income Protection + Cycle to work scheme About Sartorius Sartorius is part of the solution in the fight against cancer, dementia, and many other diseases. Our technologies help translate scientific discoveries into real-world medicine faster, so that new therapeutics can reach patients worldwide.We look for ambitious team players and creative minds, who want to contribute to this goal and advance their careers in a dynamic global environment.Join our global team and become part of the solution. We are looking forward to receiving your application.
23/06/2026
Full time
Senior Machine Learning Scientist - Advanced AI & Automation page is loaded Senior Machine Learning Scientist - Advanced AI & Automationlocations: Royston: Home Office United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: R38797Join our Corporate Research team as a Senior Machine Learning Scientist.We are looking for a Senior Machine Learning Scientist to join the Corporate Reserach department at Sartorius. You will use your expertise in modern machine learning, computer vision and robotics to design AI - driven automaton for next - generation Sartorius instruments and lab workflows used by major life science and biopharmaceutical companies worldwide. This role requires expertise in Large Language Models (LLMs), Vision - Language Models (VLMs) and multi - agent systems to orchestrate complex, robotics - driven end - to - end experimental and manufacturing workflows.Working with Sartorius you will have unique access to large scale, high quality biological and process data across different bioanalytics and bioprocess modalities, from live - cell imaging to bioreactor operations and lab instrumentation telemetry. You will also contribute to our collaboration with NVIDIA, using advanced AI computing platforms to accelerate the development of smarter, more autonomous research and manufacturing solutions.You will join a very talented interdisciplinary and global data science team in Corporate Research that develops AI and advanced analytics solutions that "moves the needle" in what is currently possible. You are driven by curiosity and problem solving, and your personal initiative will translate into innovations that simplify progress for our customers, from early-stage drug discovery to the production of biologics that treat life - threatening and chronic diseases.This position is available full-time, with opportunity to be based remotely in the UK, with required travel regularly Sartorius relevant sites eg.: Royston near Cambridge. Grow with us - Your Responsibilities You will design and deploy AI - driven solutions for robotics, lab automation and smart instruments, including orchestration of liquid handling systems, incubators, imaging devices and analytical sensors Develop and optimize architectures leveraging LLMs and VLMs for multimodal perception, control and exception - handling in automated laboratory and manufacturing workflows Build intelligent scheduling and planning agents to coordinate fleets of devices and robots, enabling closed-loop experimentation, process optimization and autonomous lab operations. Apply graph-based and sequential models to represent experimental workflows, material flows and equipment state, improving predictive maintenance and process robustness. Integrate AI agents with automation frameworks, messaging systems and device APIs to enable reliable data and command flows across Sartorius' digital and bioprocessing ecosystem. Collaborate closely with robotics, software, process engineering and product teams to translate user needs into robust, production-grade AI and automation capabilities What will convince us Master's or PhD degree in Computer Science, Robotics, Machine Learning, Control Engineering or related disciplines Experience with LLMs (e.g.: GPT, LLaMA) and VLMs (e.g.: CLIP, Flamingo) applied to perception, workflow guidance or automation use cases Hands on experience with multi - agent systems and orchestration frameworks or robotics middleware (e.g.: ROS, OPC UA, message queues) Practical experience with robotics, lab automation, industrial automation or autonomous systems; exposure to life science or bioprocess environments is a strong plus Proficiency in Python and deep learning frameworks such as PyTorch or Tensorflow Basic knowledge of graph theory, planning or reinforcement learning and their application to decision - making in complex systems Understanding of distributed systems, APIs and cloud - based deployment of AI and automation services Ability to communicate complex technical concepts to interdisciplinary teams and non - experts You describe yourself as a conceptual and creative thinker with excellent organizational and communication skills (both written and verbal) You have the ability to work collaboratively with colleagues within a large, matrix - based organizationIn order to commence working with us, the successful candidate will have the right to work in the UK. What we offer As a growing global life science company, stock listed on the German TecDAX, Sartorius offers a wide range of benefits: Personal and Professional Development: mentoring, leadership programs, LinkedIn Learning, internal seminar offerings Work-life Balance: Remote options, flexible work schedules Making an impact right from the start: Comprehensive onboarding, including a virtual online platform - even before joining Welcoming Culture: Mutual support, team-spirit and international collaboration; communities on numerous topics such as coaching, agile working and businesswomen network Health & Well-Being : Wide section of health and well-being support such as healthcare plans and health assessment services Royston Benefits Attractive Working Conditions: 37.5 hours working week 25 days annual leave, plus public holidays Free parking on site Annual option to buy, sell or carry forward annual leave Free hot and cold drinks Regular social events and free exercise classes Competitive benefits package, including: + Group Personal Pension Plan + Private Medical Insurance + Private Dental Insurance + Group Life Assurance + Group Income Protection + Cycle to work scheme About Sartorius Sartorius is part of the solution in the fight against cancer, dementia, and many other diseases. Our technologies help translate scientific discoveries into real-world medicine faster, so that new therapeutics can reach patients worldwide.We look for ambitious team players and creative minds, who want to contribute to this goal and advance their careers in a dynamic global environment.Join our global team and become part of the solution. We are looking forward to receiving your application.
Job Purpose Apply advanced data science, machine learning, AI/Gen-AI, and predictive analytics to drive technology decisions. Your work will support due diligence, market analysis, competitive intelligence, and strategic roadmap development through sophisticated modelling, performance analysis, and forecasting. Data Analytics & Strategic Insights Create technology strategy data and AI frameworks, building advanced analytical models to support decision making across Liberty Global Build Gen AI native products and services across the group Develop data aggregation, correlation, and visualization capabilities for technology performance metrics, market trends, and competitive intelligence Apply statistical and machine learning techniques to analyze technology adoption patterns, performance benchmarks, and strategic opportunities Define and monitor KPIs for technology strategy initiatives, innovation programs, and strategic investments Create comprehensive benchmarking capabilities comparing Liberty Global's technology performance against industry leaders AI Powered Technology Analysis & Innovation Collaborate with Technology and AI teams to develop proof of concepts using emerging AI and ML technologies Drive innovation in technology strategy analytics: NLP for trend analysis, automated competitive intelligence, and predictive forecasting Develop AI powered capabilities for technology due diligence automation, market intelligence gathering, and strategic opportunity identification Knowledge & Experience Essential: Graduate degree in Data Science, Statistics, Computer Science, Engineering, or related quantitative field Essential: 3+ years in data science with focus on building Data and AI products Essential: Advanced proficiency in Python, R, and SQL with expertise in statistical analysis, machine learning algorithms, and data visualization Essential: Full stack development experience with cloud technologies (GCP preferred) Essential: Strong expertise in building Gen AI native products and services Essential: Strong analytical and problem solving skills-translating complex datasets and technical findings into actionable business recommendations Essential: Excellent communication skills for presenting sophisticated analytical findings to senior leadership and technical stakeholders Highly Desirable: Knowledge of telecommunications technology: network infrastructure, cloud platforms, software architecture, and emerging technologies Highly Desirable: Proficiency in advanced analytics tools: cloud based data science environments, big data technologies, and Gen AI/ML platforms Benefits Competitive salary + Bonus 25 days annual leave with the option to purchase 5 more Matched pension contribution up to 10% Access to our car benefit scheme Subsidy on health insurance premium Free access to LinkedIn Learning & Coursera Free public transport subscription usable for both work and leisure travel on all modes of public transport, anywhere in the Netherlands Hybrid Working Company Laptop, Mobile and Phone Subscription Free premium subscription to Calm - a renowned well being & meditation app EEO Statement Liberty Global is an equal opportunity employer. We embrace diversity and are committed to creating an inclusive environment for our people.
23/06/2026
Full time
Job Purpose Apply advanced data science, machine learning, AI/Gen-AI, and predictive analytics to drive technology decisions. Your work will support due diligence, market analysis, competitive intelligence, and strategic roadmap development through sophisticated modelling, performance analysis, and forecasting. Data Analytics & Strategic Insights Create technology strategy data and AI frameworks, building advanced analytical models to support decision making across Liberty Global Build Gen AI native products and services across the group Develop data aggregation, correlation, and visualization capabilities for technology performance metrics, market trends, and competitive intelligence Apply statistical and machine learning techniques to analyze technology adoption patterns, performance benchmarks, and strategic opportunities Define and monitor KPIs for technology strategy initiatives, innovation programs, and strategic investments Create comprehensive benchmarking capabilities comparing Liberty Global's technology performance against industry leaders AI Powered Technology Analysis & Innovation Collaborate with Technology and AI teams to develop proof of concepts using emerging AI and ML technologies Drive innovation in technology strategy analytics: NLP for trend analysis, automated competitive intelligence, and predictive forecasting Develop AI powered capabilities for technology due diligence automation, market intelligence gathering, and strategic opportunity identification Knowledge & Experience Essential: Graduate degree in Data Science, Statistics, Computer Science, Engineering, or related quantitative field Essential: 3+ years in data science with focus on building Data and AI products Essential: Advanced proficiency in Python, R, and SQL with expertise in statistical analysis, machine learning algorithms, and data visualization Essential: Full stack development experience with cloud technologies (GCP preferred) Essential: Strong expertise in building Gen AI native products and services Essential: Strong analytical and problem solving skills-translating complex datasets and technical findings into actionable business recommendations Essential: Excellent communication skills for presenting sophisticated analytical findings to senior leadership and technical stakeholders Highly Desirable: Knowledge of telecommunications technology: network infrastructure, cloud platforms, software architecture, and emerging technologies Highly Desirable: Proficiency in advanced analytics tools: cloud based data science environments, big data technologies, and Gen AI/ML platforms Benefits Competitive salary + Bonus 25 days annual leave with the option to purchase 5 more Matched pension contribution up to 10% Access to our car benefit scheme Subsidy on health insurance premium Free access to LinkedIn Learning & Coursera Free public transport subscription usable for both work and leisure travel on all modes of public transport, anywhere in the Netherlands Hybrid Working Company Laptop, Mobile and Phone Subscription Free premium subscription to Calm - a renowned well being & meditation app EEO Statement Liberty Global is an equal opportunity employer. We embrace diversity and are committed to creating an inclusive environment for our people.
At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting-edge technology to transform people's lives.GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients' needs and have the highest probability of success. We're uniting science, technology, and talent to get ahead of disease together.Find out more:Our approach to R&DPosition SummaryAt GSK, we are transforming how we generate evidence and accelerate the delivery of medicines and vaccines to patients. As a Senior Product Owner within Development Operations and DevCMO Performance , you will own the vision and roadmap for the digital products that power data-driven decision-making and operational predictability across our development engine.You will translate complex operational challenges into elegant, high-impact digital solutions, partner with leaders across Development Operations, DevCMO and Technology, and put trusted data at the heart of how decisions get made. We value clear communicators who lead with empathy, act with integrity, and stay relentlessly focused on impact for patients and science. This role offers growth, visible enterprise impact, and the chance to help unite science, technology and talent to get ahead of disease together.ResponsibilitiesThis role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include some of the following:Own and continually evolve the product vision and roadmap for performance and operational-intelligence solutions across Development Operations and DevCMO , balancing near-term delivery with long-term strategy.Translate business priorities and complex operational challenges into a clear, well-sequenced backlog - defining crisp product requirements, user stories and acceptance criteria.Lead agile delivery end-to-end, partnering with engineering, data and design to ship high-quality, predictable outcomes at enterprise scale.Build and nurture strong partnerships across Development Operations, DevCMO , Technology and senior stakeholder groups, aligning diverse priorities behind a single, shared product direction.Deliver intuitive tools and dashboards that surface actionable insight, improve operational predictability and elevate decision-making for development leaders.Continuously enhance products by combining quantitative data, user feedback and analytics - measuring outcomes, not just outputs.Champion data-driven ways of working and embed governance, quality and compliance appropriate to a regulated R&D environment.Why You?Basic QualificationsWe are seeking professionals with the following required skills and qualifications to help us achieve our goals:Bachelor's degree or equivalent practical experience.Significant experience in product ownership, business analysis or digital delivery, including owning products from concept through to adoption.Demonstrated experience leading agile delivery teams and acting as the voice of the customer.Industry experience with data, analytics, or reporting solutions and translating them into clear decisions.Experience delivering within regulated environments, with an appreciation for quality, validation, and compliance.Demo nstrated abi lity to influence, align and build consensus among senior and cross-functional stakeholders.Preferred QualificationsIf you have the following characteristics, it would be a plus:Experience in clinical operations, development operations or pharma R&D.Familiarity with study execution, portfolio planning, or development performance management.Hands-on experience with BI tools or modern analytics platforms (for example Power BI, Tableau or Spotfire).Exposure to AI, machine learning, or predictive analytics applied to operational decision-making.A track record of scaling digital products across complex, matrixed organizations .Demonstrated commitment to user-centric design and to building inclusive, collaborative ways of working. GSK?Uniting science, technology and talent to get ahead of disease together.GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases - to impact health at scale.People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at where you can also request a call.Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a Recruitment FAQ guide.Important notice to Employment businesses/ AgenciesGSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at
23/06/2026
Full time
At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting-edge technology to transform people's lives.GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients' needs and have the highest probability of success. We're uniting science, technology, and talent to get ahead of disease together.Find out more:Our approach to R&DPosition SummaryAt GSK, we are transforming how we generate evidence and accelerate the delivery of medicines and vaccines to patients. As a Senior Product Owner within Development Operations and DevCMO Performance , you will own the vision and roadmap for the digital products that power data-driven decision-making and operational predictability across our development engine.You will translate complex operational challenges into elegant, high-impact digital solutions, partner with leaders across Development Operations, DevCMO and Technology, and put trusted data at the heart of how decisions get made. We value clear communicators who lead with empathy, act with integrity, and stay relentlessly focused on impact for patients and science. This role offers growth, visible enterprise impact, and the chance to help unite science, technology and talent to get ahead of disease together.ResponsibilitiesThis role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include some of the following:Own and continually evolve the product vision and roadmap for performance and operational-intelligence solutions across Development Operations and DevCMO , balancing near-term delivery with long-term strategy.Translate business priorities and complex operational challenges into a clear, well-sequenced backlog - defining crisp product requirements, user stories and acceptance criteria.Lead agile delivery end-to-end, partnering with engineering, data and design to ship high-quality, predictable outcomes at enterprise scale.Build and nurture strong partnerships across Development Operations, DevCMO , Technology and senior stakeholder groups, aligning diverse priorities behind a single, shared product direction.Deliver intuitive tools and dashboards that surface actionable insight, improve operational predictability and elevate decision-making for development leaders.Continuously enhance products by combining quantitative data, user feedback and analytics - measuring outcomes, not just outputs.Champion data-driven ways of working and embed governance, quality and compliance appropriate to a regulated R&D environment.Why You?Basic QualificationsWe are seeking professionals with the following required skills and qualifications to help us achieve our goals:Bachelor's degree or equivalent practical experience.Significant experience in product ownership, business analysis or digital delivery, including owning products from concept through to adoption.Demonstrated experience leading agile delivery teams and acting as the voice of the customer.Industry experience with data, analytics, or reporting solutions and translating them into clear decisions.Experience delivering within regulated environments, with an appreciation for quality, validation, and compliance.Demo nstrated abi lity to influence, align and build consensus among senior and cross-functional stakeholders.Preferred QualificationsIf you have the following characteristics, it would be a plus:Experience in clinical operations, development operations or pharma R&D.Familiarity with study execution, portfolio planning, or development performance management.Hands-on experience with BI tools or modern analytics platforms (for example Power BI, Tableau or Spotfire).Exposure to AI, machine learning, or predictive analytics applied to operational decision-making.A track record of scaling digital products across complex, matrixed organizations .Demonstrated commitment to user-centric design and to building inclusive, collaborative ways of working. GSK?Uniting science, technology and talent to get ahead of disease together.GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases - to impact health at scale.People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at where you can also request a call.Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a Recruitment FAQ guide.Important notice to Employment businesses/ AgenciesGSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at
Senior Data & AI Solutions Architect, Energy & Industrials, AGS Solutions Architecture Team Job ID: AWS EMEA SARL (UK Branch) This role is within the UK organisation and you will be working with Enterprise Energy and other large industrial customers, helping them modernise their technology estates and harness the power of data and AI to drive business transformation. Solutions Architects work hand in hand with AWS customers to help them achieve real business outcomes through cloud adoption. They are at the crossroads of business and technology, engaging with organisations at all stages of their cloud journey, from infrastructure modernisation and application migration through to advanced analytics and AI/ML workloads. Solutions Architects also take a leading role in creating and presenting technical content and best practices. Our Senior Solutions Architects are expected to build broad, well-architected solutions across the full AWS portfolio, including compute, networking, storage, security, application modernisation, and DevOps, while bringing particular depth in data and AI. You will own the overall technical relationship between customers and AWS, making recommendations on security, cost optimisation, performance, reliability, and operational efficiency. A strong understanding of modern data architectures, analytics, machine learning, and generative AI is essential, as these capabilities are increasingly central to the outcomes our Energy and Industrial customers are pursuing. They work to understand the customer's business needs and give prescriptive guidance on how to create business value with technology, whether that's migrating workloads, re-architecting applications, building data platforms, or deploying AI powered solutions. To do this they collaborate with other teams such as account management, professional services, AI/ML specialist teams, support, product teams, and the AWS partner ecosystem. In this role you will get to practice your creativity, linking technology to tangible solutions and educating AWS customers about the art of the possible. You will have the opportunity to define or invent cloud native reference architectures for a variety of use cases, with a particular emphasis on data driven and AI enabled solutions such as predictive maintenance, demand forecasting, operational optimisation, and intelligent automation. You will have the support to grow your expertise in industry and technology areas of depth. Every day you will learn something new from your customers, your peers, and your own experiments. At Amazon you will be encouraged and rewarded for doing what is right for the long term success of the customer. We value your passion to discover, invent, and build on behalf of customers. Amazon has always been, and always will be, committed to diversity and inclusion. We seek builders from all backgrounds to join our teams, and we encourage our employees to bring their authentic, original, and best selves to work. Key job responsibilities Work directly with customers to accelerate their projects and recommend best practice architectures in line with their long term business outcomes, spanning infrastructure, application modernisation, data, and AI/ML. Own the technical relationship with the customer and operate as their trusted advisor. The best interests of the customer will shape the guidance you provide. Design solutions across the breadth of AWS services, with the ability to go deep on data and AI workloads when customer needs demand it. Share the voice of the customer to influence the roadmap of new features and services for the AWS platform. Create and capture best practices, technical content, and new reference architectures (e.g. white papers, code samples, blog posts), with a focus on data and AI patterns relevant to energy and industrial sectors. Evangelise and educate about AWS technology (e.g. workshops, user groups, meetups, public speaking, or conferences). Contribute to the growth of the Solutions Architecture organisation by interviewing candidates and having a voice in hiring decisions. Mentor team members and help others develop new skills. Develop areas of depth in technical domains relevant to your interests and your customers' outcomes, with Data and AI as priority areas for this role. Basic Qualifications Bachelor's degree in computer science, engineering, mathematics or equivalent, or experience in a professional field or military. Experience in IT development or implementation/consulting in the software or Internet industries. Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics). Experience in design, implementation, or consulting in applications and infrastructures. Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients. Preferred Qualifications Experience in infrastructure architecture, database architecture and networking. Experience working with end user or developer communities. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
22/06/2026
Full time
Senior Data & AI Solutions Architect, Energy & Industrials, AGS Solutions Architecture Team Job ID: AWS EMEA SARL (UK Branch) This role is within the UK organisation and you will be working with Enterprise Energy and other large industrial customers, helping them modernise their technology estates and harness the power of data and AI to drive business transformation. Solutions Architects work hand in hand with AWS customers to help them achieve real business outcomes through cloud adoption. They are at the crossroads of business and technology, engaging with organisations at all stages of their cloud journey, from infrastructure modernisation and application migration through to advanced analytics and AI/ML workloads. Solutions Architects also take a leading role in creating and presenting technical content and best practices. Our Senior Solutions Architects are expected to build broad, well-architected solutions across the full AWS portfolio, including compute, networking, storage, security, application modernisation, and DevOps, while bringing particular depth in data and AI. You will own the overall technical relationship between customers and AWS, making recommendations on security, cost optimisation, performance, reliability, and operational efficiency. A strong understanding of modern data architectures, analytics, machine learning, and generative AI is essential, as these capabilities are increasingly central to the outcomes our Energy and Industrial customers are pursuing. They work to understand the customer's business needs and give prescriptive guidance on how to create business value with technology, whether that's migrating workloads, re-architecting applications, building data platforms, or deploying AI powered solutions. To do this they collaborate with other teams such as account management, professional services, AI/ML specialist teams, support, product teams, and the AWS partner ecosystem. In this role you will get to practice your creativity, linking technology to tangible solutions and educating AWS customers about the art of the possible. You will have the opportunity to define or invent cloud native reference architectures for a variety of use cases, with a particular emphasis on data driven and AI enabled solutions such as predictive maintenance, demand forecasting, operational optimisation, and intelligent automation. You will have the support to grow your expertise in industry and technology areas of depth. Every day you will learn something new from your customers, your peers, and your own experiments. At Amazon you will be encouraged and rewarded for doing what is right for the long term success of the customer. We value your passion to discover, invent, and build on behalf of customers. Amazon has always been, and always will be, committed to diversity and inclusion. We seek builders from all backgrounds to join our teams, and we encourage our employees to bring their authentic, original, and best selves to work. Key job responsibilities Work directly with customers to accelerate their projects and recommend best practice architectures in line with their long term business outcomes, spanning infrastructure, application modernisation, data, and AI/ML. Own the technical relationship with the customer and operate as their trusted advisor. The best interests of the customer will shape the guidance you provide. Design solutions across the breadth of AWS services, with the ability to go deep on data and AI workloads when customer needs demand it. Share the voice of the customer to influence the roadmap of new features and services for the AWS platform. Create and capture best practices, technical content, and new reference architectures (e.g. white papers, code samples, blog posts), with a focus on data and AI patterns relevant to energy and industrial sectors. Evangelise and educate about AWS technology (e.g. workshops, user groups, meetups, public speaking, or conferences). Contribute to the growth of the Solutions Architecture organisation by interviewing candidates and having a voice in hiring decisions. Mentor team members and help others develop new skills. Develop areas of depth in technical domains relevant to your interests and your customers' outcomes, with Data and AI as priority areas for this role. Basic Qualifications Bachelor's degree in computer science, engineering, mathematics or equivalent, or experience in a professional field or military. Experience in IT development or implementation/consulting in the software or Internet industries. Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics). Experience in design, implementation, or consulting in applications and infrastructures. Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients. Preferred Qualifications Experience in infrastructure architecture, database architecture and networking. Experience working with end user or developer communities. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
About the Role IBM Consulting UK FutureNow - build a career at the forefront of hybrid cloud and AI, working with leading clients across the public and private sectors. You'll collaborate with top industry professionals, gain hands on experience with cutting edge technologies, and deliver solutions that create real business impact. From day one you'll work on meaningful, high profile programmes that stretch your skills and accelerate your growth. Responsibilities Lead the development of advanced analytics solutions to address complex business challenges within public sector and defence environments. Mentor and support junior data engineers in their professional growth. Conduct statistical analysis, data collection, data mining and text mining activities. Design, build and oversee solutions for advanced analytics projects. Use predictive analytics tools such as SPSS to draw insights and communicate findings. Stay current with emerging trends and technologies in advanced analytics, helping to drive innovation across the organization. Required Qualifications Extensive experience with data engineering principles and advanced analytics techniques. Proficiency in programming languages Python, R, SQL. Experience with data manipulation and analysis tools Pandas, NumPy, Dask. Strong leadership and communication skills. Ability to lead cross functional teams and manage stakeholder expectations. Preferred Qualifications Experience with machine learning frameworks TensorFlow, PyTorch, scikit-learn. Familiarity with big data technologies Hadoop, Spark. Background in data science, IT consulting or related field. AWS Certified Big Data or equivalent. Demonstrated leadership and mentoring skills. Publication record in peer reviewed journals or reputable industry publications. Education Required: None. Preferred: Bachelor's Degree. Benefits Tools and policies to support work life balance: flexible working approaches, sabbatical programmes, paid paternity leave, maternity leave and an innovative maternity returners scheme. Traditional benefits: 25 days holiday (in addition to public holidays), private medical, dental & optical cover, online shopping discounts, an Employee Assistance Programme, life assurance and a group pension plan through salary sacrifice. Pre employment Screening This role is subject to pre employment screening in line with the UK Government's Baseline Personnel Security Standard (BPSS). An additional range of Personal Security Controls referred to as National Security Vetting (NVS) may apply, possibly requiring eligibility for the Security Check (SC) or Developed Vetting (DV). Equal Opportunity Employer IBM is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status. Job Details Job Title: Senior Data Engineer - eSC or eDV Required Job ID: 117229 Location: Hampshire, Gloucestershire, London, City of, Manchester, Leicester Country: United Kingdom Work Arrangement: Hybrid (Up to 80% or 4 days a week; home on weekends - based on project requirements) Area of Work: Data & Analytics Employment Type: Regular Position Type: Professional Is this role commissionable / sales incentive based? (information not provided)
21/06/2026
Full time
About the Role IBM Consulting UK FutureNow - build a career at the forefront of hybrid cloud and AI, working with leading clients across the public and private sectors. You'll collaborate with top industry professionals, gain hands on experience with cutting edge technologies, and deliver solutions that create real business impact. From day one you'll work on meaningful, high profile programmes that stretch your skills and accelerate your growth. Responsibilities Lead the development of advanced analytics solutions to address complex business challenges within public sector and defence environments. Mentor and support junior data engineers in their professional growth. Conduct statistical analysis, data collection, data mining and text mining activities. Design, build and oversee solutions for advanced analytics projects. Use predictive analytics tools such as SPSS to draw insights and communicate findings. Stay current with emerging trends and technologies in advanced analytics, helping to drive innovation across the organization. Required Qualifications Extensive experience with data engineering principles and advanced analytics techniques. Proficiency in programming languages Python, R, SQL. Experience with data manipulation and analysis tools Pandas, NumPy, Dask. Strong leadership and communication skills. Ability to lead cross functional teams and manage stakeholder expectations. Preferred Qualifications Experience with machine learning frameworks TensorFlow, PyTorch, scikit-learn. Familiarity with big data technologies Hadoop, Spark. Background in data science, IT consulting or related field. AWS Certified Big Data or equivalent. Demonstrated leadership and mentoring skills. Publication record in peer reviewed journals or reputable industry publications. Education Required: None. Preferred: Bachelor's Degree. Benefits Tools and policies to support work life balance: flexible working approaches, sabbatical programmes, paid paternity leave, maternity leave and an innovative maternity returners scheme. Traditional benefits: 25 days holiday (in addition to public holidays), private medical, dental & optical cover, online shopping discounts, an Employee Assistance Programme, life assurance and a group pension plan through salary sacrifice. Pre employment Screening This role is subject to pre employment screening in line with the UK Government's Baseline Personnel Security Standard (BPSS). An additional range of Personal Security Controls referred to as National Security Vetting (NVS) may apply, possibly requiring eligibility for the Security Check (SC) or Developed Vetting (DV). Equal Opportunity Employer IBM is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status. Job Details Job Title: Senior Data Engineer - eSC or eDV Required Job ID: 117229 Location: Hampshire, Gloucestershire, London, City of, Manchester, Leicester Country: United Kingdom Work Arrangement: Hybrid (Up to 80% or 4 days a week; home on weekends - based on project requirements) Area of Work: Data & Analytics Employment Type: Regular Position Type: Professional Is this role commissionable / sales incentive based? (information not provided)
Senior Data Scientist Fixed Term / Secondment opportunity, 12 months Full Time, 37 hours per week £47,615 to £56,017 per annum Location: Chelmsford Working Style: Anywhere worker Closing date: Sun 28th June 2026 Job purpose ECC's Data, Analytics and Performance team transforms complex data into clear, actionable insights - providing robust analysis and performance intelligence to inform evidence led decisions, improve services, and deliver better outcomes for residents. The team is a centre of excellence for Data Engineers, Analysts and Data Scientists who work together to instil best practice data principles across the county, recognising that data and people are our two strongest assets. This role sits within the Data Science and AI branch of the team, working closely with other data professionals across the wider function. You will collaborate with colleagues from across DDaT disciplines and engage directly with services, ensuring solutions are aligned to real world needs. The team also plays a facilitative role in bringing together data professionals from across the local public sector network, providing opportunities to collaborate with partners across Essex and the wider system. As a Senior Data Scientist, you will lead the development of advanced analytical solutions that support Essex County Council's ambition to harness data science and artificial intelligence to improve public services and enable evidence led decision making. You'll apply techniques such as predictive modelling, machine learning, and statistical analysis to generate forward looking insights that enhance operational delivery, support strategic decision making, and drive transformation. Working hands on across the full data science lifecycle, you'll identify suitable approaches to business problems, explore data, build models, prepare datasets, and create reproducible analytical workflows that inform strategic and operational priorities. Collaborating with colleagues across the organisation, you'll embed data science into everyday practice and support innovation. You'll ensure the ethical and responsible use of data, contribute to the development of tools, standards, and team capability, and guide others in applying advanced analytics. Drawing on your expertise, you'll help grow technical and professional skills across the team and support the wider adoption of data science across the council. Accountabilities Engage with services to identify opportunities where data science can influence strategy, improve delivery, and support organisational outcomes. Scope and deliver data science projects, selecting appropriate techniques and methods, creating project plans, and ensuring milestones are met. Conduct exploratory data analysis, including auditing, pattern detection, handling missing data, transformation and visualisation - sharing best practices across the team. Create replicable analytical pipelines and data products to co designed specifications, accessing data from source and building accessible outputs that are transparent and understandable. Develop, calibrate, and evaluate predictive models (e.g. forecasting, supervised and unsupervised learning), using a suite of post hoc evaluation tests, ensuring outputs are robust, explainable, and transparent and contextualise risks. Translate complex outputs into clear, actionable insights for non technical audiences. Collaborate with services to optimise data flows, improve data quality, and advise on data collection, processing, and analysis to maximise the value of our data assets. Pilot and evaluate responsible AI solutions, including internally trained and pre trained models (e.g. LLMs), to support ECC's AI ambitions. Provide quality assurance on technical aspects of data science work, ensuring appropriate application and ethical use of data. Manage a catalogue of data products and outputs, reviewing usage and impact, and identifying opportunities to improve accessibility and relevance and literacy. Share data products and insights in accessible formats to promote transparency and collaboration. Document and publish work clearly to support reuse, learning, and responsible data use. Stay current with emerging tools, techniques, and best practices and represent the organisation professionally by contributing to communities of practice and sharing knowledge. Specific individual and shared targets and objectives are defined annually within the performance management framework. Knowledge, Skills and Experience Educated to degree level in a quantitative field (e.g. Data Science, Computer Science, Mathematics, Statistics, or Engineering) or equivalent by experience. Membership with the Government Data Science Community, Royal Statistical Society (RSS), or British Computer Society (BCS) is advantageous. 3-5+ years experience in data science, analytics, or a related technical field using applied techniques for organisational impact. Knowledge and hands on experience with predictive modelling, machine learning, and statistical analysis. Working across the full data science lifecycle. Knowledge of data processing/coding languages such as SQL, R, Python, and version control systems for collaborative working and creating robust replicable analytical outputs. Experience of working in multidisciplinary teams using influence and negotiation to achieve successful outcomes and experience of working in a customer focused environment supporting a range of managers. Experience in ethical data use and capability building is a plus. Experience of working in a complex and political environment. Benefits Once you've secured your role within Essex County Council you will receive many great employee benefits, including support for unpaid carers and flexible working arrangements to accommodate their needs. Equal Opportunity & EEO Essex County Council is proud to be a Disability Confident Leader. We're committed to interview all disabled applicants who choose to apply under our Job Interview Scheme if they meet the minimum requirements of the job. Please speak to our recruiters if you require any reasonable adjustments during the process. We're also committed to interview all veterans and care leavers, who meet the minimum requirements of the role for which they are applying. As part of employment with Essex County Council (ECC), if your role requires a DBS check you will be required to register with the DBS update service. The DBS update service ensures all registered DBS certificates are kept up to date and allows authorised parties to view the status of your certificate. This is an annual subscription, and you will be responsible for ensuring this is maintained. For further information on the DBS update service please go to Essex County Council is committed to safeguarding and promoting the welfare of children and vulnerable adults, and expects all employees and volunteers to share this commitment. Contact If you have queries or require anything further, please email
21/06/2026
Full time
Senior Data Scientist Fixed Term / Secondment opportunity, 12 months Full Time, 37 hours per week £47,615 to £56,017 per annum Location: Chelmsford Working Style: Anywhere worker Closing date: Sun 28th June 2026 Job purpose ECC's Data, Analytics and Performance team transforms complex data into clear, actionable insights - providing robust analysis and performance intelligence to inform evidence led decisions, improve services, and deliver better outcomes for residents. The team is a centre of excellence for Data Engineers, Analysts and Data Scientists who work together to instil best practice data principles across the county, recognising that data and people are our two strongest assets. This role sits within the Data Science and AI branch of the team, working closely with other data professionals across the wider function. You will collaborate with colleagues from across DDaT disciplines and engage directly with services, ensuring solutions are aligned to real world needs. The team also plays a facilitative role in bringing together data professionals from across the local public sector network, providing opportunities to collaborate with partners across Essex and the wider system. As a Senior Data Scientist, you will lead the development of advanced analytical solutions that support Essex County Council's ambition to harness data science and artificial intelligence to improve public services and enable evidence led decision making. You'll apply techniques such as predictive modelling, machine learning, and statistical analysis to generate forward looking insights that enhance operational delivery, support strategic decision making, and drive transformation. Working hands on across the full data science lifecycle, you'll identify suitable approaches to business problems, explore data, build models, prepare datasets, and create reproducible analytical workflows that inform strategic and operational priorities. Collaborating with colleagues across the organisation, you'll embed data science into everyday practice and support innovation. You'll ensure the ethical and responsible use of data, contribute to the development of tools, standards, and team capability, and guide others in applying advanced analytics. Drawing on your expertise, you'll help grow technical and professional skills across the team and support the wider adoption of data science across the council. Accountabilities Engage with services to identify opportunities where data science can influence strategy, improve delivery, and support organisational outcomes. Scope and deliver data science projects, selecting appropriate techniques and methods, creating project plans, and ensuring milestones are met. Conduct exploratory data analysis, including auditing, pattern detection, handling missing data, transformation and visualisation - sharing best practices across the team. Create replicable analytical pipelines and data products to co designed specifications, accessing data from source and building accessible outputs that are transparent and understandable. Develop, calibrate, and evaluate predictive models (e.g. forecasting, supervised and unsupervised learning), using a suite of post hoc evaluation tests, ensuring outputs are robust, explainable, and transparent and contextualise risks. Translate complex outputs into clear, actionable insights for non technical audiences. Collaborate with services to optimise data flows, improve data quality, and advise on data collection, processing, and analysis to maximise the value of our data assets. Pilot and evaluate responsible AI solutions, including internally trained and pre trained models (e.g. LLMs), to support ECC's AI ambitions. Provide quality assurance on technical aspects of data science work, ensuring appropriate application and ethical use of data. Manage a catalogue of data products and outputs, reviewing usage and impact, and identifying opportunities to improve accessibility and relevance and literacy. Share data products and insights in accessible formats to promote transparency and collaboration. Document and publish work clearly to support reuse, learning, and responsible data use. Stay current with emerging tools, techniques, and best practices and represent the organisation professionally by contributing to communities of practice and sharing knowledge. Specific individual and shared targets and objectives are defined annually within the performance management framework. Knowledge, Skills and Experience Educated to degree level in a quantitative field (e.g. Data Science, Computer Science, Mathematics, Statistics, or Engineering) or equivalent by experience. Membership with the Government Data Science Community, Royal Statistical Society (RSS), or British Computer Society (BCS) is advantageous. 3-5+ years experience in data science, analytics, or a related technical field using applied techniques for organisational impact. Knowledge and hands on experience with predictive modelling, machine learning, and statistical analysis. Working across the full data science lifecycle. Knowledge of data processing/coding languages such as SQL, R, Python, and version control systems for collaborative working and creating robust replicable analytical outputs. Experience of working in multidisciplinary teams using influence and negotiation to achieve successful outcomes and experience of working in a customer focused environment supporting a range of managers. Experience in ethical data use and capability building is a plus. Experience of working in a complex and political environment. Benefits Once you've secured your role within Essex County Council you will receive many great employee benefits, including support for unpaid carers and flexible working arrangements to accommodate their needs. Equal Opportunity & EEO Essex County Council is proud to be a Disability Confident Leader. We're committed to interview all disabled applicants who choose to apply under our Job Interview Scheme if they meet the minimum requirements of the job. Please speak to our recruiters if you require any reasonable adjustments during the process. We're also committed to interview all veterans and care leavers, who meet the minimum requirements of the role for which they are applying. As part of employment with Essex County Council (ECC), if your role requires a DBS check you will be required to register with the DBS update service. The DBS update service ensures all registered DBS certificates are kept up to date and allows authorised parties to view the status of your certificate. This is an annual subscription, and you will be responsible for ensuring this is maintained. For further information on the DBS update service please go to Essex County Council is committed to safeguarding and promoting the welfare of children and vulnerable adults, and expects all employees and volunteers to share this commitment. Contact If you have queries or require anything further, please email
Lead Data & Insight Analyst Location: Chertsey (Hybrid - 2 days onsite) At Foodbuy, we're driving transformation through data. As the procurement and supply chain division of Compass Group UK & Ireland, we sit at the heart of a £2.6bn spend network-delivering insight led solutions to some of the most recognisable organisations across healthcare, education, hospitality and business. We're now looking for a Lead Data & Insight Analyst to join our growing Analytics team, playing a key role in shaping how data and insight drive decision making across the business. The Role This is a hands on leadership role combining advanced analytics with team leadership. You'll take ownership of key insight delivery, lead a small team of analysts, and partner with senior stakeholders to translate data into meaningful commercial outcomes. Key Responsibilities Design and develop Power BI models, dashboards and reporting solutions Analyse large, complex datasets to uncover trends, patterns and opportunities Build and deploy advanced analytics and machine learning models Collaborate with data engineering teams to shape data pipelines Lead, mentor and develop a team of analysts Work closely with senior leaders and business functions to deliver insight led solutions Present clear, actionable insights to both technical and non technical audiences What We're Looking For Strong experience in data science, analytics or business intelligence (typically 10+ years) Advanced knowledge of Python and SQL Experience working with cloud platforms such as Redshift, Databricks or similar Proven track record in building impactful data visualisations (Power BI or equivalent) Strong understanding of statistical modelling, predictive analytics and machine learning Experience leading or mentoring analysts Excellent stakeholder engagement and communication skills Why Join Foodbuy? Be part of a high impact, growing analytics function Work on large scale, business critical data initiatives Collaborate with senior stakeholders across a leading FTSE 100 organisation Hybrid working with flexibility built in If you want to shape how data drives commercial strategy at scale, this is a fantastic opportunity to step into a visible and influential role within Foodbuy.
21/06/2026
Full time
Lead Data & Insight Analyst Location: Chertsey (Hybrid - 2 days onsite) At Foodbuy, we're driving transformation through data. As the procurement and supply chain division of Compass Group UK & Ireland, we sit at the heart of a £2.6bn spend network-delivering insight led solutions to some of the most recognisable organisations across healthcare, education, hospitality and business. We're now looking for a Lead Data & Insight Analyst to join our growing Analytics team, playing a key role in shaping how data and insight drive decision making across the business. The Role This is a hands on leadership role combining advanced analytics with team leadership. You'll take ownership of key insight delivery, lead a small team of analysts, and partner with senior stakeholders to translate data into meaningful commercial outcomes. Key Responsibilities Design and develop Power BI models, dashboards and reporting solutions Analyse large, complex datasets to uncover trends, patterns and opportunities Build and deploy advanced analytics and machine learning models Collaborate with data engineering teams to shape data pipelines Lead, mentor and develop a team of analysts Work closely with senior leaders and business functions to deliver insight led solutions Present clear, actionable insights to both technical and non technical audiences What We're Looking For Strong experience in data science, analytics or business intelligence (typically 10+ years) Advanced knowledge of Python and SQL Experience working with cloud platforms such as Redshift, Databricks or similar Proven track record in building impactful data visualisations (Power BI or equivalent) Strong understanding of statistical modelling, predictive analytics and machine learning Experience leading or mentoring analysts Excellent stakeholder engagement and communication skills Why Join Foodbuy? Be part of a high impact, growing analytics function Work on large scale, business critical data initiatives Collaborate with senior stakeholders across a leading FTSE 100 organisation Hybrid working with flexibility built in If you want to shape how data drives commercial strategy at scale, this is a fantastic opportunity to step into a visible and influential role within Foodbuy.
Senior Data & AI Solutions Architect, Energy & Industrials, AGS Solutions Architecture Team This role is within the UK organisation and you will be working with Enterprise Energy and other large industrial customers, helping them modernise their technology estates and harness the power of data and AI to drive business transformation. Solutions Architects work hand in hand with AWS customers to help them achieve real business outcomes through cloud adoption. They are at the crossroads of business and technology, engaging with organisations at all stages of their cloud journey, from infrastructure modernisation and application migration through to advanced analytics and AI/ML workloads. Solutions Architects also take a leading role in creating and presenting technical content and best practices. Our Senior Solutions Architects are expected to build broad, well architected solutions across the full AWS portfolio, including compute, networking, storage, security, application modernisation, and DevOps, while bringing particular depth in data and AI. You will own the overall technical relationship between customers and AWS, making recommendations on security, cost optimisation, performance, reliability, and operational efficiency. A strong understanding of modern data architectures, analytics, machine learning, and generative AI is essential, as these capabilities are increasingly central to the outcomes our Energy and Industrial customers are pursuing. They work to understand the customer's business needs and give prescriptive guidance on how to create business value with technology, whether that's migrating workloads, re architecting applications, building data platforms, or deploying AI powered solutions. To do this they collaborate with other teams such as account management, professional services, AI/ML specialist teams, support, product teams, and the AWS partner ecosystem. In this role you will practice creativity, link technology to tangible solutions and educate AWS customers about the art of the possible. You will have the opportunity to define or invent cloud native reference architectures for a variety of use cases, with a particular emphasis on data driven and AI enabled solutions such as predictive maintenance, demand forecasting, operational optimisation, and intelligent automation. You will have the support to grow your expertise in industry and technology areas of depth. Every day you will learn something new from your customers, peers, and your own experiments. Key job responsibilities Work directly with customers to accelerate their projects and recommend best practice architectures in line with their long term business outcomes, spanning infrastructure, application modernisation, data, and AI/ML. Own the technical relationship with the customer and operate as their trusted advisor. The best interests of the customer will shape the guidance you provide. Design solutions across the breadth of AWS services, with the ability to go deep on data and AI workloads when customer needs demand it. Share the voice of the customer to influence the roadmap of new features and services for the AWS platform. Create and capture best practices, technical content, and new reference architectures (e.g., white papers, code samples, blog posts), with a focus on data and AI patterns relevant to energy and industrial sectors. Evangelise and educate about AWS technology (e.g., workshops, user groups, meetups, public speaking, or conferences). Contribute to the growth of the Solutions Architecture organisation by interviewing candidates and having a voice in hiring decisions. Mentor team members and help others develop new skills. Develop areas of depth in technical domains relevant to your interests and your customers' outcomes, with Data and AI as priority areas for this role. Qualifications Bachelor's degree in computer science, engineering, mathematics or equivalent, or experience in a professional field or military. Experience in IT development or implementation/consulting in the software or Internet industries. Experience within specific technology domain areas (e.g., software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics). Experience in design, implementation, or consulting in applications and infrastructures. Experience communicating across technical and non technical audiences, including executive level stakeholders or clients. Experience in infrastructure architecture, database architecture and networking. Experience working with end user or developer communities. Amazon is an equal opportunity employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify, and build. 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. Emplacement : ES, Community of Madrid, Madrid
21/06/2026
Full time
Senior Data & AI Solutions Architect, Energy & Industrials, AGS Solutions Architecture Team This role is within the UK organisation and you will be working with Enterprise Energy and other large industrial customers, helping them modernise their technology estates and harness the power of data and AI to drive business transformation. Solutions Architects work hand in hand with AWS customers to help them achieve real business outcomes through cloud adoption. They are at the crossroads of business and technology, engaging with organisations at all stages of their cloud journey, from infrastructure modernisation and application migration through to advanced analytics and AI/ML workloads. Solutions Architects also take a leading role in creating and presenting technical content and best practices. Our Senior Solutions Architects are expected to build broad, well architected solutions across the full AWS portfolio, including compute, networking, storage, security, application modernisation, and DevOps, while bringing particular depth in data and AI. You will own the overall technical relationship between customers and AWS, making recommendations on security, cost optimisation, performance, reliability, and operational efficiency. A strong understanding of modern data architectures, analytics, machine learning, and generative AI is essential, as these capabilities are increasingly central to the outcomes our Energy and Industrial customers are pursuing. They work to understand the customer's business needs and give prescriptive guidance on how to create business value with technology, whether that's migrating workloads, re architecting applications, building data platforms, or deploying AI powered solutions. To do this they collaborate with other teams such as account management, professional services, AI/ML specialist teams, support, product teams, and the AWS partner ecosystem. In this role you will practice creativity, link technology to tangible solutions and educate AWS customers about the art of the possible. You will have the opportunity to define or invent cloud native reference architectures for a variety of use cases, with a particular emphasis on data driven and AI enabled solutions such as predictive maintenance, demand forecasting, operational optimisation, and intelligent automation. You will have the support to grow your expertise in industry and technology areas of depth. Every day you will learn something new from your customers, peers, and your own experiments. Key job responsibilities Work directly with customers to accelerate their projects and recommend best practice architectures in line with their long term business outcomes, spanning infrastructure, application modernisation, data, and AI/ML. Own the technical relationship with the customer and operate as their trusted advisor. The best interests of the customer will shape the guidance you provide. Design solutions across the breadth of AWS services, with the ability to go deep on data and AI workloads when customer needs demand it. Share the voice of the customer to influence the roadmap of new features and services for the AWS platform. Create and capture best practices, technical content, and new reference architectures (e.g., white papers, code samples, blog posts), with a focus on data and AI patterns relevant to energy and industrial sectors. Evangelise and educate about AWS technology (e.g., workshops, user groups, meetups, public speaking, or conferences). Contribute to the growth of the Solutions Architecture organisation by interviewing candidates and having a voice in hiring decisions. Mentor team members and help others develop new skills. Develop areas of depth in technical domains relevant to your interests and your customers' outcomes, with Data and AI as priority areas for this role. Qualifications Bachelor's degree in computer science, engineering, mathematics or equivalent, or experience in a professional field or military. Experience in IT development or implementation/consulting in the software or Internet industries. Experience within specific technology domain areas (e.g., software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics). Experience in design, implementation, or consulting in applications and infrastructures. Experience communicating across technical and non technical audiences, including executive level stakeholders or clients. Experience in infrastructure architecture, database architecture and networking. Experience working with end user or developer communities. Amazon is an equal opportunity employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify, and build. 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. Emplacement : ES, Community of Madrid, Madrid
Senior Manager, Data AnalyticsApplylocations: Greater London, GBR (United Kingdom Corporate Office)time type: Full timeposted on: Posted Todayjob requisition id: JR7950Explore the possibilities across our global house of brands.Defined by inclusivity rather than exclusivity, Tapestry embraces the exploration of individuality and invests in helping you grow personally and professionally. Every individual in our global house has the opportunity to make an impact, learn and be part of our growing and unique story.At Tapestry, we have the freedom to express ourselves and run with our best ideas across Coach and Kate Spade New York. We share a profound belief in both our individual and collective potential, and know that with hard work and dedication, anything is possible. Primary Purpose: The Senior Manager, Data Analytics applies advanced analytics and data science to fuel growth of Tapestry's EMEAI markets. The focus is shifting from routine reporting to actionable insight, driving adoption of data-based measurement across the organization and championing automation and AI to accelerate decision making and operational efficiency. You will work collaboratively with business partners worldwide to define the right questions, uncover high impact opportunities and translate insights into practical business recommendations that improve revenue, gross margin and customer experience. The successful individual will leverage their proficiency in Data Analytics to: Centralise data integrity, reporting, tools architecture and training while decentralising insight creation and action. Partner across functions to design data driven analysis, strategies and tools Shift effort from static reporting to insight generation. Build interactive visualisations, dynamic dashboards and standard reports that surface leading indicator insights Perform large scale analysis that uncovers high impact acquisition drivers, media spend efficiency and revenue boosting actions; translate results into clear, data driven stories Drive organisation wide adoption of data. Measure outcomes, showcase impact and encourage a data first mindset for decision making. Embed predictive models, automated reporting and AI driven recommendations (e.g., MAP efficiency, allocation optimisation) and champion their use in business processes Drive adoption of automation & AI. Lead AI/ML pilot projects, demonstrate tangible value and promote scaling of successful models Collaborate with data engineering, data science and algorithm teams to innovate data sourcing, management and product solutions Connect with the Global Data Analytics (DA) team to align reporting standards, share best practices and foster cross regional data collaboration Maintain data integrity, develop reusable analytics tools and provide stakeholder training so teams can rely on accurate self service data Track key operational metrics, measure operational efficiency and drive process improvements that maximise sales, gross margin and improve the site site consumer journey & conversion, and focus the organisation on acquisition levers The accomplished individual will possess: 5+ years of hands on analytics experience within retail, eCommerce, or consulting environments Advanced SQL and ETL capabilities Strong data visualisation expertise (Tableau or comparable) Hands on experience with Google Analytics and BigQuery Proficiency in Python or R for analysis and modelling Proven ability to drive adoption of data based measurement and turn metrics into strategic actions Demonstrated experience championing automation and AI (automated pipelines, predictive models, AI assisted tools) Excellent storytelling, communication, and relationship building skills Track record of translating analytics into revenue driving initiatives and improving gross margin Ability to prioritise dynamically in a fast paced, global environment Bachelor's degree in a quantitative or technical discipline Experience deploying AI/ML solutions at scale (recommendation engines, demand forecasting, etc.) Familiarity with automation/orchestration platforms (Airflow, Prefect) and MLOps tooling Prior success influencing global data culture change and promoting data centric decision makingPlease be advised that we are unable to provide visa sponsorship for this position. As such, you will only be considered if you already possess the right to work in the UK. What Tapestry can offer you: Hybrid working (Tuesday - Thursday working from the office, Monday and Friday working remotely) Option to finish early on a Friday (Flex Fridays) 1 paid volunteering day per year and opportunities to volunteer with global projects Learning & development opportunities Internal mobility & career progression Regular social events - seasonal & cultural Equity Inclusion & Diversity initiatives which include employee resource groups & regional inclusion council Other benefits include: 25 days holiday in addition to bank holidays Annual Incentive Plan (company performance bonus) Multi brand discount up to 50% off - Coach and Kate Spade. Private healthcare with health assessment (Bupa) Bupa rewards - Financial wellbeing support and wellness discounts Private dental cover Free 24/7 support for family building, fertility and menopause with Maven Eyecare vouchers Employee assistance programme Enhanced employer pension contribution Gym discount Interest free season ticket loan Cycle to work schemeAt Tapestry, we are committed to building a diverse & inclusive workforce. We know that having a wide range of perspectives and experiences makes us more innovative and brings us closer to our consumers. If you are interested in this role but do not believe you meet all the set criteria, that's ok. We are happy to work with individuals who have the drive, passion, agility and willingness to learn. So, take a chance and apply; you may just be who we are looking for. We would be delighted to hear from you. Our Competencies for All Employees Courage : Doesn't hold back anything that needs to be said; provides current, direct, complete, and "actionable" positive and corrective feedback to others; lets people know where they stand; faces up to people problems on any person or situation (not including direct reports) quickly and directly; is not afraid to take negative action when necessary. Creativity : Comes up with a lot of new and unique ideas; easily makes connections among previously unrelated notions; tends to be seen as original and value-added in brainstorming settings. Customer Focus : Is dedicated to meeting the expectations and requirements of internal and external customers; gets first-hand customer information and uses it for improvements in products and services; acts with customers in mind; establishes and maintains effective relationships with customers and gains their trust and respect. Dealing with Ambiguity : Can effectively cope with change; can shift gears comfortably; can decide and act without having the total picture; isn't upset when things are up in the air; doesn't have to finish things before moving on; can comfortably handle risk and uncertainty. Drive for Results : Can be counted on to exceed goals successfully; is constantly and consistently one of the top performers; very bottom-line oriented; steadfastly pushes self and others for results. Interpersonal Savvy : Relates well to all kinds of people, up, down, and sideways, inside and outside the organization; builds appropriate rapport; builds constructive and effective relationships; uses diplomacy and tact; can diffuse even high-tension situations comfortably. Learning on the Fly : Learns quickly when facing new problems; a relentless and versatile learner; open to change; analyzes both successes and failures for clues to improvement; experiments and will try anything to find solutions; enjoys the challenge of unfamiliar tasks; quickly grasps the essence and the underlying structure of anything. Our Competencies for All People Managers Strategic Agility : Sees ahead clearly; can anticipate future consequences and trends accurately; has broad knowledge and perspective; is future oriented; can articulately paint credible pictures and visions of possibilities and likelihoods; can create competitive and breakthrough strategies and plans. Developing Direct Reports and Others : Provides challenging and stretching tasks and assignments; holds frequent development discussions; is aware of each person's career goals; constructs compelling development plans and executes them; pushes people to accept developmental moves; will take on those who need help and further development; cooperates with the developmental system in the organization; is a people builder. Building Effective Teams : Blends people into teams when needed; creates strong morale and spirit in their team; shares wins and successes; fosters open dialogue; lets people finish and be responsible for their work; defines success in terms of the whole team; creates a feeling of belonging in the team.Tapestry is an equal opportunity and affirmative action employer and we pride ourselves on hiring and developing the best people. All employment decisions (including recruitment, hiring, promotion, compensation, transfer, training, discipline and termination) are based on the applicant's or employee's qualifications as they relate to the requirements of the position under consideration. These decisions are made without regard to age, sex, sexual orientation, gender identity, genetic characteristics, race, color, creed, religion, ethnicity, national origin, alienage, citizenship, disability, marital status, military status, pregnancy, or any other legally-recognized protected basis prohibited by applicable law.
21/06/2026
Full time
Senior Manager, Data AnalyticsApplylocations: Greater London, GBR (United Kingdom Corporate Office)time type: Full timeposted on: Posted Todayjob requisition id: JR7950Explore the possibilities across our global house of brands.Defined by inclusivity rather than exclusivity, Tapestry embraces the exploration of individuality and invests in helping you grow personally and professionally. Every individual in our global house has the opportunity to make an impact, learn and be part of our growing and unique story.At Tapestry, we have the freedom to express ourselves and run with our best ideas across Coach and Kate Spade New York. We share a profound belief in both our individual and collective potential, and know that with hard work and dedication, anything is possible. Primary Purpose: The Senior Manager, Data Analytics applies advanced analytics and data science to fuel growth of Tapestry's EMEAI markets. The focus is shifting from routine reporting to actionable insight, driving adoption of data-based measurement across the organization and championing automation and AI to accelerate decision making and operational efficiency. You will work collaboratively with business partners worldwide to define the right questions, uncover high impact opportunities and translate insights into practical business recommendations that improve revenue, gross margin and customer experience. The successful individual will leverage their proficiency in Data Analytics to: Centralise data integrity, reporting, tools architecture and training while decentralising insight creation and action. Partner across functions to design data driven analysis, strategies and tools Shift effort from static reporting to insight generation. Build interactive visualisations, dynamic dashboards and standard reports that surface leading indicator insights Perform large scale analysis that uncovers high impact acquisition drivers, media spend efficiency and revenue boosting actions; translate results into clear, data driven stories Drive organisation wide adoption of data. Measure outcomes, showcase impact and encourage a data first mindset for decision making. Embed predictive models, automated reporting and AI driven recommendations (e.g., MAP efficiency, allocation optimisation) and champion their use in business processes Drive adoption of automation & AI. Lead AI/ML pilot projects, demonstrate tangible value and promote scaling of successful models Collaborate with data engineering, data science and algorithm teams to innovate data sourcing, management and product solutions Connect with the Global Data Analytics (DA) team to align reporting standards, share best practices and foster cross regional data collaboration Maintain data integrity, develop reusable analytics tools and provide stakeholder training so teams can rely on accurate self service data Track key operational metrics, measure operational efficiency and drive process improvements that maximise sales, gross margin and improve the site site consumer journey & conversion, and focus the organisation on acquisition levers The accomplished individual will possess: 5+ years of hands on analytics experience within retail, eCommerce, or consulting environments Advanced SQL and ETL capabilities Strong data visualisation expertise (Tableau or comparable) Hands on experience with Google Analytics and BigQuery Proficiency in Python or R for analysis and modelling Proven ability to drive adoption of data based measurement and turn metrics into strategic actions Demonstrated experience championing automation and AI (automated pipelines, predictive models, AI assisted tools) Excellent storytelling, communication, and relationship building skills Track record of translating analytics into revenue driving initiatives and improving gross margin Ability to prioritise dynamically in a fast paced, global environment Bachelor's degree in a quantitative or technical discipline Experience deploying AI/ML solutions at scale (recommendation engines, demand forecasting, etc.) Familiarity with automation/orchestration platforms (Airflow, Prefect) and MLOps tooling Prior success influencing global data culture change and promoting data centric decision makingPlease be advised that we are unable to provide visa sponsorship for this position. As such, you will only be considered if you already possess the right to work in the UK. What Tapestry can offer you: Hybrid working (Tuesday - Thursday working from the office, Monday and Friday working remotely) Option to finish early on a Friday (Flex Fridays) 1 paid volunteering day per year and opportunities to volunteer with global projects Learning & development opportunities Internal mobility & career progression Regular social events - seasonal & cultural Equity Inclusion & Diversity initiatives which include employee resource groups & regional inclusion council Other benefits include: 25 days holiday in addition to bank holidays Annual Incentive Plan (company performance bonus) Multi brand discount up to 50% off - Coach and Kate Spade. Private healthcare with health assessment (Bupa) Bupa rewards - Financial wellbeing support and wellness discounts Private dental cover Free 24/7 support for family building, fertility and menopause with Maven Eyecare vouchers Employee assistance programme Enhanced employer pension contribution Gym discount Interest free season ticket loan Cycle to work schemeAt Tapestry, we are committed to building a diverse & inclusive workforce. We know that having a wide range of perspectives and experiences makes us more innovative and brings us closer to our consumers. If you are interested in this role but do not believe you meet all the set criteria, that's ok. We are happy to work with individuals who have the drive, passion, agility and willingness to learn. So, take a chance and apply; you may just be who we are looking for. We would be delighted to hear from you. Our Competencies for All Employees Courage : Doesn't hold back anything that needs to be said; provides current, direct, complete, and "actionable" positive and corrective feedback to others; lets people know where they stand; faces up to people problems on any person or situation (not including direct reports) quickly and directly; is not afraid to take negative action when necessary. Creativity : Comes up with a lot of new and unique ideas; easily makes connections among previously unrelated notions; tends to be seen as original and value-added in brainstorming settings. Customer Focus : Is dedicated to meeting the expectations and requirements of internal and external customers; gets first-hand customer information and uses it for improvements in products and services; acts with customers in mind; establishes and maintains effective relationships with customers and gains their trust and respect. Dealing with Ambiguity : Can effectively cope with change; can shift gears comfortably; can decide and act without having the total picture; isn't upset when things are up in the air; doesn't have to finish things before moving on; can comfortably handle risk and uncertainty. Drive for Results : Can be counted on to exceed goals successfully; is constantly and consistently one of the top performers; very bottom-line oriented; steadfastly pushes self and others for results. Interpersonal Savvy : Relates well to all kinds of people, up, down, and sideways, inside and outside the organization; builds appropriate rapport; builds constructive and effective relationships; uses diplomacy and tact; can diffuse even high-tension situations comfortably. Learning on the Fly : Learns quickly when facing new problems; a relentless and versatile learner; open to change; analyzes both successes and failures for clues to improvement; experiments and will try anything to find solutions; enjoys the challenge of unfamiliar tasks; quickly grasps the essence and the underlying structure of anything. Our Competencies for All People Managers Strategic Agility : Sees ahead clearly; can anticipate future consequences and trends accurately; has broad knowledge and perspective; is future oriented; can articulately paint credible pictures and visions of possibilities and likelihoods; can create competitive and breakthrough strategies and plans. Developing Direct Reports and Others : Provides challenging and stretching tasks and assignments; holds frequent development discussions; is aware of each person's career goals; constructs compelling development plans and executes them; pushes people to accept developmental moves; will take on those who need help and further development; cooperates with the developmental system in the organization; is a people builder. Building Effective Teams : Blends people into teams when needed; creates strong morale and spirit in their team; shares wins and successes; fosters open dialogue; lets people finish and be responsible for their work; defines success in terms of the whole team; creates a feeling of belonging in the team.Tapestry is an equal opportunity and affirmative action employer and we pride ourselves on hiring and developing the best people. All employment decisions (including recruitment, hiring, promotion, compensation, transfer, training, discipline and termination) are based on the applicant's or employee's qualifications as they relate to the requirements of the position under consideration. These decisions are made without regard to age, sex, sexual orientation, gender identity, genetic characteristics, race, color, creed, religion, ethnicity, national origin, alienage, citizenship, disability, marital status, military status, pregnancy, or any other legally-recognized protected basis prohibited by applicable law.
AI Engineer Type: Full time, Permanent Location: Blackfriars, London, 2 days working from our headquarters Seniority: Mid to Senior (SFIA 4) SC Eligibility Required: You do not need to already hold Security Clearance, but you must be eligible to undergo the vetting process. About Us QuantSpark applies data, analytics, and AI to commercial and societal problems that genuinely matter - for financial services, public sector clients, major retailers, international clients and many well-known UK businesses. Our work sits at the intersection of data science, software engineering, and client delivery. The projects are varied, challenging and hugely impactful - what we build often goes live in weeks. We're a 50-person boutique consultancy headquartered in Central London. Small enough that your judgment shapes outcomes; large enough that you'll work across multiple sectors and problem types in your first year. We invest heavily in our people, give genuine ownership, and expect high engineering standards. That means the opportunity to shape important work, the support to keep learning, try new things, and the trust to do your best work without unnecessary bureaucracy. The Role We're looking for an AI Engineer who has already moved from experimentation into production and wants to go further. You may have started in data science or Machine Learning, but now you're happiest building reliable systems: shipping LLM-powered applications, designing evaluation frameworks, creating retrieval pipelines, and making sure things keep working when real users, messy data, and changing requirements get involved. At QuantSpark, you'll apply that foundation to real client problems. Some engagements call for a carefully orchestrated AI pipeline; others need a well-chosen low-code tool wired up properly. The skill is knowing which approach fits the problem, making it work reliably, and creating measurable impact for the client. What You'll Be Doing as an AI Engineer at QuantSpark Lead delivery on client engagements. You'll own the technical shape of AI and ML workstreams from scoping through handover - making the build-versus-buy-versus-wire-together call, and being the engineer the client trusts in the room. Help us win the next engagement. You'll work alongside our Consulting team on live opportunities - translating client problems into credible technical approaches, running discovery sessions, and shaping proposals that are honest about what AI can and can't do. Build automation that lands. From orchestrated AI pipelines to a well-wired Power Automate flow, you'll deliver the solution that actually solves the client's problem. The Problems You'll Solve In a typical year you might be: Turning a PE-backed business's unstructured operational data - contracts, claims, supplier correspondence - into a usable signal, and building the systems that keep doing it. Working with a public sector team on fraud detection or predictive maintenance, with the rigour and traceability those clients need. Designing an agentic workflow that compresses a week of manual analyst work into hours, with guardrails the client can trust. Replacing a brittle Power Automate flow with something better - or building the right one because that's actually what the problem needs. What You'll Build Production LLM applications - RAG, retrieval pipelines, prompt-engineered workflows, with the evaluation work that makes them reliable. Multi-agent systems - tool use, orchestration, memory, and guardrails that keep autonomy useful. Classical ML in production - forecasting, classification, optimisation, because not every problem needs a transformer. Low-code and workflow automation - Power Automate, n8n, used deliberately when they're the right tool. AI harness tooling - Claude Code, Codex, and the broader AI development toolchain. Most consultancies make engineers pick a lane, we feel our hybrid approach is a better match for the problems clients bring us. Who You'll Work With You'll sit within our Engineering team and work day-to-day with Product & Consulting and client stakeholders. We're a genuinely curious, low-ego bunch who care about doing meaningful work. We keep that culture deliberate - internal guilds, lunch-and-learns, regular talks and events in the office, and hackathons where you'll build a career alongside peers from across the business. You Should Hit Apply If You've crossed the line from experimentation to production. You've shipped LLM-powered applications and lived with the consequences - edge cases, latency, prompt drift, keeping things working when context gets messy. You bring ML rigour to AI engineering. Evaluations, model quality, monitoring, drift detection. You don't just ship - you measure. You've designed RAG and agentic systems with intention. You understand chunking, retrieval quality, context management, and where these systems break under real conditions. You're comfortable across the modern AI toolchain. Claude Code, Codex, Power Automate, n8n. Pragmatic about choosing the right tool. Your code is production-quality. Clean, testable, version-controlled. You collaborate effectively with software engineers without needing translation. You treat client problems as your own. Commercially aware, comfortable with the "why," and you'd rather over own a difficult delivery than hide behind process. You communicate clearly. You can explain trade offs to non technical stakeholders and push back constructively when requirements don't make sense. Nice to have: experience in regulated environments (financial services, public sector); MLOps practice; pre sales or technical proposal experience; familiarity with responsible AI practice. Why QuantSpark Variety of work. You'll work across sectors but see engagements through - most engineers are on one or two engagements at a time. Engineering quality is taken seriously. Evaluations, monitoring, code review that catches things before they hit clients. Real investment in you. £6,000/year for training, upskilling and conferences - one of the most generous budgets in the market. EMI share options to share in the reward as we grow. Perks & Benefits Financial upside Up to 10% personal performance bonus. Company profit share, distributed equally to everyone annually. EMI share options for every team member, regardless of seniority. Pension up to 12% total contribution via Nest. Investing in your career Market leading £6,000 per year personal learning and development budget. Protected training days when not on live engagements. Tuition support for part-time Masters, ML/AI certifications, and professional qualifications. Transparent Growth tracks and opportunities. Health, taken seriously Full Vitality private healthcare, including in patient, GP, dental, optical, and advanced cancer cover. 8 talking therapies sessions per year. 24/7 EAP and a 12 month Headspace subscription. Up to 50% off Nuffield, Virgin Active, PureGym, and Active Rewards perks. Time to live a full life 33 days off, including 25 days annual leave plus 8 bank holidays. Buy or sell up to 5 days each year. Work from abroad for 4 weeks every year. Sabbatical up to 6 months after 3 years' service. Family-friendly, properly Enhanced maternity and paternity leave. 3 sessions of maternity coaching via The Maternity Coach. Shared parental leave and enhanced bereavement leave. Recognition and the everyday Quarterly team socials. Peer-nominated awards with vouchers. Scaling anniversary fund on every work anniversary. Cycle to Work scheme up to £2,500. Monday breakfasts, regular talks & events in the office, hackathons, and clubs. Equal Opportunities We're committed to building a diverse and inclusive team. Different perspectives, identities, and experiences make us stronger. All qualified applicants will be considered regardless of sex, sexual orientation, marital status, race, nationality, religion, disability, or age.
20/06/2026
Full time
AI Engineer Type: Full time, Permanent Location: Blackfriars, London, 2 days working from our headquarters Seniority: Mid to Senior (SFIA 4) SC Eligibility Required: You do not need to already hold Security Clearance, but you must be eligible to undergo the vetting process. About Us QuantSpark applies data, analytics, and AI to commercial and societal problems that genuinely matter - for financial services, public sector clients, major retailers, international clients and many well-known UK businesses. Our work sits at the intersection of data science, software engineering, and client delivery. The projects are varied, challenging and hugely impactful - what we build often goes live in weeks. We're a 50-person boutique consultancy headquartered in Central London. Small enough that your judgment shapes outcomes; large enough that you'll work across multiple sectors and problem types in your first year. We invest heavily in our people, give genuine ownership, and expect high engineering standards. That means the opportunity to shape important work, the support to keep learning, try new things, and the trust to do your best work without unnecessary bureaucracy. The Role We're looking for an AI Engineer who has already moved from experimentation into production and wants to go further. You may have started in data science or Machine Learning, but now you're happiest building reliable systems: shipping LLM-powered applications, designing evaluation frameworks, creating retrieval pipelines, and making sure things keep working when real users, messy data, and changing requirements get involved. At QuantSpark, you'll apply that foundation to real client problems. Some engagements call for a carefully orchestrated AI pipeline; others need a well-chosen low-code tool wired up properly. The skill is knowing which approach fits the problem, making it work reliably, and creating measurable impact for the client. What You'll Be Doing as an AI Engineer at QuantSpark Lead delivery on client engagements. You'll own the technical shape of AI and ML workstreams from scoping through handover - making the build-versus-buy-versus-wire-together call, and being the engineer the client trusts in the room. Help us win the next engagement. You'll work alongside our Consulting team on live opportunities - translating client problems into credible technical approaches, running discovery sessions, and shaping proposals that are honest about what AI can and can't do. Build automation that lands. From orchestrated AI pipelines to a well-wired Power Automate flow, you'll deliver the solution that actually solves the client's problem. The Problems You'll Solve In a typical year you might be: Turning a PE-backed business's unstructured operational data - contracts, claims, supplier correspondence - into a usable signal, and building the systems that keep doing it. Working with a public sector team on fraud detection or predictive maintenance, with the rigour and traceability those clients need. Designing an agentic workflow that compresses a week of manual analyst work into hours, with guardrails the client can trust. Replacing a brittle Power Automate flow with something better - or building the right one because that's actually what the problem needs. What You'll Build Production LLM applications - RAG, retrieval pipelines, prompt-engineered workflows, with the evaluation work that makes them reliable. Multi-agent systems - tool use, orchestration, memory, and guardrails that keep autonomy useful. Classical ML in production - forecasting, classification, optimisation, because not every problem needs a transformer. Low-code and workflow automation - Power Automate, n8n, used deliberately when they're the right tool. AI harness tooling - Claude Code, Codex, and the broader AI development toolchain. Most consultancies make engineers pick a lane, we feel our hybrid approach is a better match for the problems clients bring us. Who You'll Work With You'll sit within our Engineering team and work day-to-day with Product & Consulting and client stakeholders. We're a genuinely curious, low-ego bunch who care about doing meaningful work. We keep that culture deliberate - internal guilds, lunch-and-learns, regular talks and events in the office, and hackathons where you'll build a career alongside peers from across the business. You Should Hit Apply If You've crossed the line from experimentation to production. You've shipped LLM-powered applications and lived with the consequences - edge cases, latency, prompt drift, keeping things working when context gets messy. You bring ML rigour to AI engineering. Evaluations, model quality, monitoring, drift detection. You don't just ship - you measure. You've designed RAG and agentic systems with intention. You understand chunking, retrieval quality, context management, and where these systems break under real conditions. You're comfortable across the modern AI toolchain. Claude Code, Codex, Power Automate, n8n. Pragmatic about choosing the right tool. Your code is production-quality. Clean, testable, version-controlled. You collaborate effectively with software engineers without needing translation. You treat client problems as your own. Commercially aware, comfortable with the "why," and you'd rather over own a difficult delivery than hide behind process. You communicate clearly. You can explain trade offs to non technical stakeholders and push back constructively when requirements don't make sense. Nice to have: experience in regulated environments (financial services, public sector); MLOps practice; pre sales or technical proposal experience; familiarity with responsible AI practice. Why QuantSpark Variety of work. You'll work across sectors but see engagements through - most engineers are on one or two engagements at a time. Engineering quality is taken seriously. Evaluations, monitoring, code review that catches things before they hit clients. Real investment in you. £6,000/year for training, upskilling and conferences - one of the most generous budgets in the market. EMI share options to share in the reward as we grow. Perks & Benefits Financial upside Up to 10% personal performance bonus. Company profit share, distributed equally to everyone annually. EMI share options for every team member, regardless of seniority. Pension up to 12% total contribution via Nest. Investing in your career Market leading £6,000 per year personal learning and development budget. Protected training days when not on live engagements. Tuition support for part-time Masters, ML/AI certifications, and professional qualifications. Transparent Growth tracks and opportunities. Health, taken seriously Full Vitality private healthcare, including in patient, GP, dental, optical, and advanced cancer cover. 8 talking therapies sessions per year. 24/7 EAP and a 12 month Headspace subscription. Up to 50% off Nuffield, Virgin Active, PureGym, and Active Rewards perks. Time to live a full life 33 days off, including 25 days annual leave plus 8 bank holidays. Buy or sell up to 5 days each year. Work from abroad for 4 weeks every year. Sabbatical up to 6 months after 3 years' service. Family-friendly, properly Enhanced maternity and paternity leave. 3 sessions of maternity coaching via The Maternity Coach. Shared parental leave and enhanced bereavement leave. Recognition and the everyday Quarterly team socials. Peer-nominated awards with vouchers. Scaling anniversary fund on every work anniversary. Cycle to Work scheme up to £2,500. Monday breakfasts, regular talks & events in the office, hackathons, and clubs. Equal Opportunities We're committed to building a diverse and inclusive team. Different perspectives, identities, and experiences make us stronger. All qualified applicants will be considered regardless of sex, sexual orientation, marital status, race, nationality, religion, disability, or age.
Senior Associate Data Scientist Remote/ Hybrid- London About the job The Revenue Operations Team is looking to hire a Senior Associate Data Scientist to design and deliver analytical solutions for strategic use across the business. This role puts you at the center of revenue critical decisions, partnering with Sales and Customer Success to turn data into real business impact. You'll help scale our analytics capabilities while growing your skills in a team that values curiosity, ownership, and authentic collaboration. As a Senior Associate Data Scientist, you will: Lead meetings with division management and our internal customers in other divisions to define the business needs and analytical solutions to drive the business forward. Build data assets. In order to do this you will understand much of SAS's data as it pertains to the analytical requirements of the business. Data assets include 'feature engineering' in order to improve analysis, which can in turn enhance the feature store of revenue operations. Conduct analysis that helps drive enhanced decision making in both revenue operations, as well as other divisions that are supported (e.g. Sales, Customer Success Channels). Build predictive models, again designed to help decision making across the business, both supervised and unsupervised methods. Ensure deployment of analytics in both a scalable and automated manner (i.e. delivered with tools such as SAS Model Manager, into tools such as Revegy, Salesloft and CRM systems. Ensure all applicable security policies and processes are followed to support the organization's secure software development goals. Embrace curiosity, passion, authenticity and accountability. These are our values and influence everything we do. Additional Responsibilities Provide guidance and support to other team members in delivery of analytical solutions Document processes and procedures fully to enable auditing and sharing of content Prepare presentations in multiple formats to gain understanding and buy in of work Complete monthly reports on core KPIs for key business partners Required qualifications 2+ years of relevant professional experience Bachelor's degree in an analytical field such as Mathematics, Statistics or similar. technical quantitative field such as Engineering, IT, Computer Sciences or equivalent. An equivalent combination of related education, training and experience may be considered in place of the above qualifications. Additional competencies, knowledge and skills SAS Programming skills and knowledge of the latest SAS Software (Visual Analytics, Model Studio, SAS Studio etc,) Possess strong business acumen coupled with demonstrated technical ability to know how to develop, explore, analyze, and present data and solutions to a business audience. Additional Information Resumes may be considered in the order they are received. SAS employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, SAS may obtain nationality or citizenship information from applicants for employment. SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process. SAS only sends emails from verified email addresses and never asks for sensitive, personal information or money. If you have any doubts about the authenticity of any type of communication from, or on behalf of SAS, please .
19/06/2026
Full time
Senior Associate Data Scientist Remote/ Hybrid- London About the job The Revenue Operations Team is looking to hire a Senior Associate Data Scientist to design and deliver analytical solutions for strategic use across the business. This role puts you at the center of revenue critical decisions, partnering with Sales and Customer Success to turn data into real business impact. You'll help scale our analytics capabilities while growing your skills in a team that values curiosity, ownership, and authentic collaboration. As a Senior Associate Data Scientist, you will: Lead meetings with division management and our internal customers in other divisions to define the business needs and analytical solutions to drive the business forward. Build data assets. In order to do this you will understand much of SAS's data as it pertains to the analytical requirements of the business. Data assets include 'feature engineering' in order to improve analysis, which can in turn enhance the feature store of revenue operations. Conduct analysis that helps drive enhanced decision making in both revenue operations, as well as other divisions that are supported (e.g. Sales, Customer Success Channels). Build predictive models, again designed to help decision making across the business, both supervised and unsupervised methods. Ensure deployment of analytics in both a scalable and automated manner (i.e. delivered with tools such as SAS Model Manager, into tools such as Revegy, Salesloft and CRM systems. Ensure all applicable security policies and processes are followed to support the organization's secure software development goals. Embrace curiosity, passion, authenticity and accountability. These are our values and influence everything we do. Additional Responsibilities Provide guidance and support to other team members in delivery of analytical solutions Document processes and procedures fully to enable auditing and sharing of content Prepare presentations in multiple formats to gain understanding and buy in of work Complete monthly reports on core KPIs for key business partners Required qualifications 2+ years of relevant professional experience Bachelor's degree in an analytical field such as Mathematics, Statistics or similar. technical quantitative field such as Engineering, IT, Computer Sciences or equivalent. An equivalent combination of related education, training and experience may be considered in place of the above qualifications. Additional competencies, knowledge and skills SAS Programming skills and knowledge of the latest SAS Software (Visual Analytics, Model Studio, SAS Studio etc,) Possess strong business acumen coupled with demonstrated technical ability to know how to develop, explore, analyze, and present data and solutions to a business audience. Additional Information Resumes may be considered in the order they are received. SAS employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, SAS may obtain nationality or citizenship information from applicants for employment. SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process. SAS only sends emails from verified email addresses and never asks for sensitive, personal information or money. If you have any doubts about the authenticity of any type of communication from, or on behalf of SAS, please .
