We are seeking a graduate product manager to develop casualty insurance solutions by collaborating with product, technology, and analytics teams. Skills And Competencies Strong analytical and quantitative skills, with the ability to interpret data and draw meaningful conclusions Excellent written and verbal communication skills, with the ability to explain complex ideas clearly to varied audiences A genuine interest in casualty insurance, risk analytics, or insurance technology and a desire to build deep domain expertise Strong organisational skills with the ability to manage multiple tasks, prioritise effectively, and deliver on commitments A collaborative mindset and confidence working across diverse, cross functional teams Self motivated and proactive, with a high degree of initiative and a drive to make an impact Demonstrates curiosity about artificial intelligence and an understanding of responsible and ethical AI use in a business context Has hands on experience using AI enabled tools to support analysis, research, automation, or productivity, with an awareness of data privacy and governance considerations Education Bachelor's degree or higher in Actuarial Science, Insurance, Risk Management, or a closely related discipline; broader STEM or business degrees may also be considered Responsibilities Support the development and delivery of next generation casualty insurance solutions by working closely with product, technology, and analytics teams while building a strong foundation in product management Support the definition and delivery of product roadmaps for casualty insurance solutions, including underwriting tools, portfolio analytics, and risk quantification capabilities Help develop user stories, acceptance criteria, and product requirements that reflect the needs of insurers, underwriters, and actuaries Assist in translating complex market and client requirements into clear, actionable product specifications for engineering and data science teams Learn how risk models are designed, validated, and embedded into workflows, and support documentation and communication of model outputs Engage with clients and prospects under guidance to understand real world insurance challenges and gather structured feedback Support preparation of materials for client meetings, industry events, and thought leadership activities including demos, datasheets, white papers, and blog posts Stay current on trends, regulatory developments, and emerging risks in the casualty insurance market Develop an understanding of insurance analytics platforms, including APIs, data pipelines, and cloud based infrastructure Contribute to go to market planning, internal enablement, and cross functional collaboration across product, engineering, data science, sales, and marketing About The Graduate Programme As a graduate you'll build a diverse and relevant career - learning our business, discovering your career growth opportunities, and continuing to develop your skills for years to come. Starting in September 2026, you'll join an international cohort of Moody's Insurance Solutions graduates. You'll begin with a month long training programme, learning from our network of leading developers, scientists, product managers, customer success practitioners, and clients. Following this, you'll participate in our rotation programme, gaining direct experience across various teams and disciplines. Through your rotations you will enhance your knowledge of our products, how they are built, the companies who use them, and how they get value and insight from them. Your work will span our products and markets, developing technical skills and knowledge, problem solving skills, and communication skills. After a 5 week induction programme you will rotate quarterly through 5 teams, the three core teams above and two complimentary teams. You will then become a permanent member of one of the core teams in January 2028. Many of our team members, including interviewers for this role, began as graduates and have brought their skills to various roles and teams over time - we also have members of our leadership team who joined us as graduates in this programme! About The Team The Casualty Product Management team sits within Moody's growing insurance solutions business and works at the intersection of risk science, data, and technology. The team partners closely with actuaries, data scientists, engineers, and client facing teams to deliver advanced analytics and decision support tools that help insurers better understand and manage liability risk. Graduate hires join a collaborative environment with structured mentorship, real responsibility, and exposure across multiple teams before settling into their core product role. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
07/06/2026
Full time
We are seeking a graduate product manager to develop casualty insurance solutions by collaborating with product, technology, and analytics teams. Skills And Competencies Strong analytical and quantitative skills, with the ability to interpret data and draw meaningful conclusions Excellent written and verbal communication skills, with the ability to explain complex ideas clearly to varied audiences A genuine interest in casualty insurance, risk analytics, or insurance technology and a desire to build deep domain expertise Strong organisational skills with the ability to manage multiple tasks, prioritise effectively, and deliver on commitments A collaborative mindset and confidence working across diverse, cross functional teams Self motivated and proactive, with a high degree of initiative and a drive to make an impact Demonstrates curiosity about artificial intelligence and an understanding of responsible and ethical AI use in a business context Has hands on experience using AI enabled tools to support analysis, research, automation, or productivity, with an awareness of data privacy and governance considerations Education Bachelor's degree or higher in Actuarial Science, Insurance, Risk Management, or a closely related discipline; broader STEM or business degrees may also be considered Responsibilities Support the development and delivery of next generation casualty insurance solutions by working closely with product, technology, and analytics teams while building a strong foundation in product management Support the definition and delivery of product roadmaps for casualty insurance solutions, including underwriting tools, portfolio analytics, and risk quantification capabilities Help develop user stories, acceptance criteria, and product requirements that reflect the needs of insurers, underwriters, and actuaries Assist in translating complex market and client requirements into clear, actionable product specifications for engineering and data science teams Learn how risk models are designed, validated, and embedded into workflows, and support documentation and communication of model outputs Engage with clients and prospects under guidance to understand real world insurance challenges and gather structured feedback Support preparation of materials for client meetings, industry events, and thought leadership activities including demos, datasheets, white papers, and blog posts Stay current on trends, regulatory developments, and emerging risks in the casualty insurance market Develop an understanding of insurance analytics platforms, including APIs, data pipelines, and cloud based infrastructure Contribute to go to market planning, internal enablement, and cross functional collaboration across product, engineering, data science, sales, and marketing About The Graduate Programme As a graduate you'll build a diverse and relevant career - learning our business, discovering your career growth opportunities, and continuing to develop your skills for years to come. Starting in September 2026, you'll join an international cohort of Moody's Insurance Solutions graduates. You'll begin with a month long training programme, learning from our network of leading developers, scientists, product managers, customer success practitioners, and clients. Following this, you'll participate in our rotation programme, gaining direct experience across various teams and disciplines. Through your rotations you will enhance your knowledge of our products, how they are built, the companies who use them, and how they get value and insight from them. Your work will span our products and markets, developing technical skills and knowledge, problem solving skills, and communication skills. After a 5 week induction programme you will rotate quarterly through 5 teams, the three core teams above and two complimentary teams. You will then become a permanent member of one of the core teams in January 2028. Many of our team members, including interviewers for this role, began as graduates and have brought their skills to various roles and teams over time - we also have members of our leadership team who joined us as graduates in this programme! About The Team The Casualty Product Management team sits within Moody's growing insurance solutions business and works at the intersection of risk science, data, and technology. The team partners closely with actuaries, data scientists, engineers, and client facing teams to deliver advanced analytics and decision support tools that help insurers better understand and manage liability risk. Graduate hires join a collaborative environment with structured mentorship, real responsibility, and exposure across multiple teams before settling into their core product role. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
Python Developer - Insurance analytics Location - London with hybrid working as per departmental requirements (currently a MINIMUM of 40% (2 days per week . LCP is an award winning actuarial and analytics consultancy providing market leading capabilities and advice across pensions and financial services, energy, health, and analytics. We use powerful analytics fused with human expertise to shape a more positive future. We have an exciting opportunity to join our Insurance Analytics team as a Python Developer. You will play a leading role in the continued development of InsurSight, our award winning SaaS platform. InsurSight was launched in April 2020 and is currently used to assess over £200bn of non life insurance business. We are expanding the team to help us support our expanding client base whilst delivering our exciting plans to develop the platform further. You'll work within our backend team to help shape the direction of how we use Python within InsurSight, focussing on feature development, performance, maintainability, and tighter integration of our C# and Python backend codebases. You will also support and mentor less experienced developers, conduct code reviews, and take ownership of key technical challenges - particularly where large datasets and performance bottlenecks are involved. Our team consists of: 1 Product manager 4 C# developers 2 Python developers 1 Actuarial data scientist 2 Front end developers 1 DevOps and site reliability engineer 3 QA Engineers You will have the benefit of the guidance of our actuarial data scientists, Python developer and product manager, but also the opportunity to take ownership of your work. This is a mid level role for someone looking to deepen their Python and software engineering skills whilst working in a domain rich environment. Key Responsibilities: Provide Python development expertise on new InsurSight features, ensuring performance, scalability and maintainability Help with further integration between our C# and Python codebases, rewriting or restructuring code where needed to reduce inefficiencies and improve cohesion Optimise performance of complex data and analytics workflows, including calculations on larger datasets (e.g. on 4GB+ datasets) Review and provide feedback on code written by other developers, support mentoring and skill development across the team Champion best practices in software engineering including testing, version control, CI/CD, and OOP Collaborate with actuaries, analysts and data scientists to deliver technically robust, industry relevant features Research and prototype new technologies to support innovation and continuous improvement Contribute to a culture of curiosity, collaboration and technical excellence Skills and Experience: Strong Python development experience, with a track record of writing production grade, maintainable code Experience working with large datasets and performance critical workloads Familiarity with Azure PaaS/SaaS tools (e.g. Azure Functions, Batch, Blob/Table/Queue Storage), and CosmosDB Comfort with software engineering best practices: automated testing, version control, CI/CD, OOP Proactive, problem solving mindset with a focus on performance and user experience Exposure to actuarial or non life insurance analytics, or an interest in domain rich environment Experience picking up complex and unfamiliar analytical concepts What's in it for you? Take a look at our Glassdoor and Career stories pages to see why our people love being here! As well as joining a multi award winning, fun, collaborative, people first organisation where your personal and professional skills will be developed to make you the best you can be, we offer an attractive benefits package designed to promote your overall wellbeing so that you are able to perform to your full potential both in and out of work. Currently our core benefits package includes: For you: Hybrid working (see top of the advert for details) Professional study support (where applicable) Access to our internal Wellbeing, LGBTQ+, Multicultural and Women's networks For your family: Life assurance Income protection Enhanced maternity/paternity/adoption and shared parental leave For your health: 26 days annual leave (pro ratio for part time working) plus bank holidays (most of which can be taken flexibly!) with options to buy & sell holiday Private medical insurance Discounted gym memberships, critical illness and dental insurance through our flexible benefits Eye care vouchers Cycle to work scheme Digital GP services For your wealth: Competitive pension scheme Discretionary bonus scheme High street discounts Season ticket loans For others: Volunteering opportunities For the environment: Electric vehicle salary sacrifice scheme (qualifying period applies) And much more! We continuously strive to build an inclusive workplace where all forms of diversity are valued, including age, background, disability, gender, gender identity, gender expression, race, religion or sexual orientation. LCP is committed to making our opportunities accessible to all and would welcome you getting in touch to let us know if an adjustment can be made to help with your application. This may be extra time for assessments, pre interview site visits, interview structure or questions, or asking us about building accessibility. Whatever it may be, please get in touch via our dedicated email address - to discuss how we can support you with your application. Recruitment agencies LCP operates a Preferred Supplier List (PSL) for recruitment agencies which is reviewed annually. We do not accept unsolicited CVs from agencies who are not part of our current PSL. LCP only pay agency fees where we have a signed agreement in place, and the agency has been instructed by a member of our recruitment team to supply CVs via the Applicant Tracking System (ATS) for a legitimate, open vacancy. If this process is not adhered to, LCP reserve the right to contact these candidates directly and have discussions with them without paying any agency fees. We do not pay agency fees when speculative and unsolicited CVs are submitted to any employee or Partner at LCP.
07/06/2026
Full time
Python Developer - Insurance analytics Location - London with hybrid working as per departmental requirements (currently a MINIMUM of 40% (2 days per week . LCP is an award winning actuarial and analytics consultancy providing market leading capabilities and advice across pensions and financial services, energy, health, and analytics. We use powerful analytics fused with human expertise to shape a more positive future. We have an exciting opportunity to join our Insurance Analytics team as a Python Developer. You will play a leading role in the continued development of InsurSight, our award winning SaaS platform. InsurSight was launched in April 2020 and is currently used to assess over £200bn of non life insurance business. We are expanding the team to help us support our expanding client base whilst delivering our exciting plans to develop the platform further. You'll work within our backend team to help shape the direction of how we use Python within InsurSight, focussing on feature development, performance, maintainability, and tighter integration of our C# and Python backend codebases. You will also support and mentor less experienced developers, conduct code reviews, and take ownership of key technical challenges - particularly where large datasets and performance bottlenecks are involved. Our team consists of: 1 Product manager 4 C# developers 2 Python developers 1 Actuarial data scientist 2 Front end developers 1 DevOps and site reliability engineer 3 QA Engineers You will have the benefit of the guidance of our actuarial data scientists, Python developer and product manager, but also the opportunity to take ownership of your work. This is a mid level role for someone looking to deepen their Python and software engineering skills whilst working in a domain rich environment. Key Responsibilities: Provide Python development expertise on new InsurSight features, ensuring performance, scalability and maintainability Help with further integration between our C# and Python codebases, rewriting or restructuring code where needed to reduce inefficiencies and improve cohesion Optimise performance of complex data and analytics workflows, including calculations on larger datasets (e.g. on 4GB+ datasets) Review and provide feedback on code written by other developers, support mentoring and skill development across the team Champion best practices in software engineering including testing, version control, CI/CD, and OOP Collaborate with actuaries, analysts and data scientists to deliver technically robust, industry relevant features Research and prototype new technologies to support innovation and continuous improvement Contribute to a culture of curiosity, collaboration and technical excellence Skills and Experience: Strong Python development experience, with a track record of writing production grade, maintainable code Experience working with large datasets and performance critical workloads Familiarity with Azure PaaS/SaaS tools (e.g. Azure Functions, Batch, Blob/Table/Queue Storage), and CosmosDB Comfort with software engineering best practices: automated testing, version control, CI/CD, OOP Proactive, problem solving mindset with a focus on performance and user experience Exposure to actuarial or non life insurance analytics, or an interest in domain rich environment Experience picking up complex and unfamiliar analytical concepts What's in it for you? Take a look at our Glassdoor and Career stories pages to see why our people love being here! As well as joining a multi award winning, fun, collaborative, people first organisation where your personal and professional skills will be developed to make you the best you can be, we offer an attractive benefits package designed to promote your overall wellbeing so that you are able to perform to your full potential both in and out of work. Currently our core benefits package includes: For you: Hybrid working (see top of the advert for details) Professional study support (where applicable) Access to our internal Wellbeing, LGBTQ+, Multicultural and Women's networks For your family: Life assurance Income protection Enhanced maternity/paternity/adoption and shared parental leave For your health: 26 days annual leave (pro ratio for part time working) plus bank holidays (most of which can be taken flexibly!) with options to buy & sell holiday Private medical insurance Discounted gym memberships, critical illness and dental insurance through our flexible benefits Eye care vouchers Cycle to work scheme Digital GP services For your wealth: Competitive pension scheme Discretionary bonus scheme High street discounts Season ticket loans For others: Volunteering opportunities For the environment: Electric vehicle salary sacrifice scheme (qualifying period applies) And much more! We continuously strive to build an inclusive workplace where all forms of diversity are valued, including age, background, disability, gender, gender identity, gender expression, race, religion or sexual orientation. LCP is committed to making our opportunities accessible to all and would welcome you getting in touch to let us know if an adjustment can be made to help with your application. This may be extra time for assessments, pre interview site visits, interview structure or questions, or asking us about building accessibility. Whatever it may be, please get in touch via our dedicated email address - to discuss how we can support you with your application. Recruitment agencies LCP operates a Preferred Supplier List (PSL) for recruitment agencies which is reviewed annually. We do not accept unsolicited CVs from agencies who are not part of our current PSL. LCP only pay agency fees where we have a signed agreement in place, and the agency has been instructed by a member of our recruitment team to supply CVs via the Applicant Tracking System (ATS) for a legitimate, open vacancy. If this process is not adhered to, LCP reserve the right to contact these candidates directly and have discussions with them without paying any agency fees. We do not pay agency fees when speculative and unsolicited CVs are submitted to any employee or Partner at LCP.
UK Centre for Ecology and Hydrology
Wallingford, Oxfordshire
Overview Salary - £38,989 to £41,321. Hybrid working (50/50), permanent, full-time. Preferred Location: Wallingford. Alternative Locations: Edinburgh, Lancaster or Bangor. UKCEH is looking for two IT Science Computing Engineers to join our team of talented individuals, contributing to scientific discovery and generating the data, insights and solutions that researchers, businesses and governments need to solve complex environmental challenges. You'll be joining a small, specialist team within the IT department, dedicated to enabling UKCEH to continue delivering world-leading environmental science. We work closely with our scientists, providing high-performance computing (HPC) and cloud-based systems across both on-premises and public platforms. In this role, your primary focus will be the ongoing development and support of reliable, high-performance scientific computing infrastructure and services. You'll play a key part in driving improvements in efficiency, effectiveness, and adaptability within a fast-evolving operational environment. We're looking for someone confident working in Linux environments, with solid experience in configuration management systems and/or event-driven automation. As part of our close-knit team, you'll also bring experience in project delivery-gathering user and operational requirements, building robust, production-ready solutions, and producing clear, comprehensive documentation. Responsibilities Routine maintenance and monitoring - patch management, configuration coding, system hardening, auditing. Ansible automation - building modules, supporting DevOps, implementing CIS standards and policies. Providing crucial support for production Linux systems across various distributions, including Redhat, Centos, Rocky, and Ubuntu. Confidence in server and storage management within a Linux environment, utilising a range of infrastructures. Experience of HPC with Linux servers, virtual machines, containers, networking, software development environments, public cloud computing services (Azure, AWS). Using hypervisor and container technologies such as VMware, KVM, LXC, Docker, and Kubernetes. You'll be working with tools like Netbox, Service Desk Plus, Ansible, Proxmox, Ceph and Kubernetes. Qualifications Relevant work experience or degree in an IT-related subject. Linux systems across multiple distributions. Management systems such as Ansible, Puppet, Chef, or Salt. Experience with container technologies, such as LXC, Docker, and Kubernetes. Experience with high-performance computing (HPC). Excellent written and spoken communication skills, able to build good working relationships, demonstrating good listening skills and the ability to steer a conversation towards finding solutions, using a collaborative and inclusive approach. Benefits and Working at UKCEH 27 days annual leave (rising to 29 days after 5 years' service) plus 3 days for Christmas closure 10% employer pension contribution Flexible and hybrid working arrangements (role dependant) Peer reward and recognition scheme Dental insurance, gym/fitness discounts, retail discount portal Enhanced maternity and paternity leave 24-hour, 365-day support with physical, mental, social, health or financial issues Diversity, Inclusion and Visa Information We are committed to fostering an inclusive and equitable workplace where everyone has the opportunity to thrive. As a Disability Confident employer, we actively encourage applications from neurodivergent candidates and those with disabilities. We are happy to provide any adjustments or support you may need throughout the application process.Please note: we are unable to offer visa sponsorship for this role and this does not qualify for endorsement to support a Global Talent Visa application. If you are considering pursuing self-sponsorship, please indicate this in your application so we can take it into account during the recruitment process. About UKCEH You will be joining a leading independent, not-for-profit research institute that's committed to recruiting talented people, progressing your career and giving you the support you need to thrive at UKCEH. Our science makes a real difference, enabling people and the environment to prosper, and enriching society. We are the custodians of a wealth of environmental data, collected by UKCEH and its predecessors over more than 60 years. We are a welcoming, inclusive, engaging and collaborative place to work, embedding our values - excellence, integrity and teamwork - into everything we do. For further information, please visit the UKCEH Website.
07/06/2026
Full time
Overview Salary - £38,989 to £41,321. Hybrid working (50/50), permanent, full-time. Preferred Location: Wallingford. Alternative Locations: Edinburgh, Lancaster or Bangor. UKCEH is looking for two IT Science Computing Engineers to join our team of talented individuals, contributing to scientific discovery and generating the data, insights and solutions that researchers, businesses and governments need to solve complex environmental challenges. You'll be joining a small, specialist team within the IT department, dedicated to enabling UKCEH to continue delivering world-leading environmental science. We work closely with our scientists, providing high-performance computing (HPC) and cloud-based systems across both on-premises and public platforms. In this role, your primary focus will be the ongoing development and support of reliable, high-performance scientific computing infrastructure and services. You'll play a key part in driving improvements in efficiency, effectiveness, and adaptability within a fast-evolving operational environment. We're looking for someone confident working in Linux environments, with solid experience in configuration management systems and/or event-driven automation. As part of our close-knit team, you'll also bring experience in project delivery-gathering user and operational requirements, building robust, production-ready solutions, and producing clear, comprehensive documentation. Responsibilities Routine maintenance and monitoring - patch management, configuration coding, system hardening, auditing. Ansible automation - building modules, supporting DevOps, implementing CIS standards and policies. Providing crucial support for production Linux systems across various distributions, including Redhat, Centos, Rocky, and Ubuntu. Confidence in server and storage management within a Linux environment, utilising a range of infrastructures. Experience of HPC with Linux servers, virtual machines, containers, networking, software development environments, public cloud computing services (Azure, AWS). Using hypervisor and container technologies such as VMware, KVM, LXC, Docker, and Kubernetes. You'll be working with tools like Netbox, Service Desk Plus, Ansible, Proxmox, Ceph and Kubernetes. Qualifications Relevant work experience or degree in an IT-related subject. Linux systems across multiple distributions. Management systems such as Ansible, Puppet, Chef, or Salt. Experience with container technologies, such as LXC, Docker, and Kubernetes. Experience with high-performance computing (HPC). Excellent written and spoken communication skills, able to build good working relationships, demonstrating good listening skills and the ability to steer a conversation towards finding solutions, using a collaborative and inclusive approach. Benefits and Working at UKCEH 27 days annual leave (rising to 29 days after 5 years' service) plus 3 days for Christmas closure 10% employer pension contribution Flexible and hybrid working arrangements (role dependant) Peer reward and recognition scheme Dental insurance, gym/fitness discounts, retail discount portal Enhanced maternity and paternity leave 24-hour, 365-day support with physical, mental, social, health or financial issues Diversity, Inclusion and Visa Information We are committed to fostering an inclusive and equitable workplace where everyone has the opportunity to thrive. As a Disability Confident employer, we actively encourage applications from neurodivergent candidates and those with disabilities. We are happy to provide any adjustments or support you may need throughout the application process.Please note: we are unable to offer visa sponsorship for this role and this does not qualify for endorsement to support a Global Talent Visa application. If you are considering pursuing self-sponsorship, please indicate this in your application so we can take it into account during the recruitment process. About UKCEH You will be joining a leading independent, not-for-profit research institute that's committed to recruiting talented people, progressing your career and giving you the support you need to thrive at UKCEH. Our science makes a real difference, enabling people and the environment to prosper, and enriching society. We are the custodians of a wealth of environmental data, collected by UKCEH and its predecessors over more than 60 years. We are a welcoming, inclusive, engaging and collaborative place to work, embedding our values - excellence, integrity and teamwork - into everything we do. For further information, please visit the UKCEH Website.
Overview Our client is expanding their technology team and leveraging data-driven solutions to accelerate innovation. They are seeking a talented Senior Data Scientist to extract actionable insights, build predictive models, and drive strategic decision-making. Join a company that values creativity, collaboration, and cutting-edge technology. Responsibilities Collect, clean, and analyze structured and unstructured data Develop and evaluate machine learning models for anomaly detection, classification, regression, and clustering tasks Collaborate with data engineers to add new functionality and analytical capabilities to our graph analytics platform Qualifications Proficiency in Python and common data science libraries (e.g., pandas, scikit-learn, numpy, matplotlib) Understanding of key machine learning concepts and workflows Strong problem-solving and analytical thinking skills Excellent communication and teamwork abilities (Optional) Experience with Golang for backend or high-performance data processing (Optional) Familiarity with network science tools (e.g., NetworkX, graph databases) For more information - please apply for this job or send your CV directly and I will call you back to provide you with more details. Cavendish (Recruitment) Professionals Ltd are proud to be an equal opportunity employer and we believe that inclusivity begins with the candidate experience. All qualified applicants will receive consideration for employment regardless of gender, race, age, sexual orientation, religion, or belief.
07/06/2026
Full time
Overview Our client is expanding their technology team and leveraging data-driven solutions to accelerate innovation. They are seeking a talented Senior Data Scientist to extract actionable insights, build predictive models, and drive strategic decision-making. Join a company that values creativity, collaboration, and cutting-edge technology. Responsibilities Collect, clean, and analyze structured and unstructured data Develop and evaluate machine learning models for anomaly detection, classification, regression, and clustering tasks Collaborate with data engineers to add new functionality and analytical capabilities to our graph analytics platform Qualifications Proficiency in Python and common data science libraries (e.g., pandas, scikit-learn, numpy, matplotlib) Understanding of key machine learning concepts and workflows Strong problem-solving and analytical thinking skills Excellent communication and teamwork abilities (Optional) Experience with Golang for backend or high-performance data processing (Optional) Familiarity with network science tools (e.g., NetworkX, graph databases) For more information - please apply for this job or send your CV directly and I will call you back to provide you with more details. Cavendish (Recruitment) Professionals Ltd are proud to be an equal opportunity employer and we believe that inclusivity begins with the candidate experience. All qualified applicants will receive consideration for employment regardless of gender, race, age, sexual orientation, religion, or belief.
Follow a practical Data Scientist career path with live, instructor-led training in Python, advanced statistics, data analysis, machine learning algorithms, and deep learning models. A Data Scientist designs and constructs new processes for data modelling and production using prototypes, algorithms, predictive models, and custom analysis. This specialised career path is engineered for analytical thinkers who want to bridge the gap between structured data exploration, advanced statistical programming, and predictive software infrastructure. The London Academy of IT Data Scientist Career Path scales from core data processing proficiencies up to state-of-the-art machine learning deployment. You will master critical open-source software systems, working extensively with Python programming, advanced descriptive statistics, Pandas, NumPy, Scikit-Learn, and TensorFlow. Progressing through this verified curriculum block gives you the mathematical foundation and computational mechanics necessary to transition into technical roles like Junior Data Scientist, Machine Learning Engineer, Data Scientist, and Artificial Intelligence Specialist. Recommended Learning Pathway Complete these milestone training steps sequentially to achieve full proficiency: This path is highly suitable for individuals with a basic comfort level in computing, introductory database logic, or math fundamentals. While a deep mathematical background is not required to begin, a strong logical mindset and an interest in statistics, pattern recognition, and scripting will significantly accelerate your progress. To establish professional-grade technical authority as a Data Scientist, you should develop comprehensive skills in: Python programming structures, object-oriented concepts, and advanced scripting Descriptive and inferential statistics, probability distributions, and hypothesis testing NumPy and Pandas for multidimensional matrix operations and high-performance data manipulation Matplotlib, Seaborn, and data visualisation strategies for explaining complex mathematical trends Supervised and unsupervised machine learning models, including regressions, decision trees, and clustering via Scikit-Learn Deep learning fundamentals, neural networks, and computer vision abstractions via TensorFlow and Keras Feature engineering, pipeline deployment, data preprocessing, and model evaluation metrics Day-to-Day Responsibilities Data Scientists extract meaning from massive volumes of structured and unstructured data, engineering automated pipelines and predictive models to discover hidden signals that guide enterprise strategies. Sourcing, cleaning, and validating large datasets across enterprise storage clouds Conducting exploratory data analysis (EDA) to uncover meaningful visual patterns and insights Selecting, training, and tuning predictive machine learning algorithms for production environments Applying statistical methods and mathematical models to evaluate project results and test business strategies Building automated data processing pipelines to feed real-time analytical systems Collaborating with data engineers, product teams, and business managers to turn computational insights into clear, actionable strategies Translating complex mathematical outcomes into intuitive data visualisations for non-technical stakeholders Market Opportunities & Career Landscape The demand for advanced predictive capabilities spans every modern commercial sector. Global organisations across healthcare, algorithmic finance, e-commerce networks, automated supply chains, technology start-ups, and scientific research institutes heavily rely on data science to predict trends, build smart products, and gain a competitive edge. As big data frameworks and AI systems continue to grow rapidly, companies face an ongoing shortage of talent capable of writing clean, scalable modelling code and interpreting deep statistical trends. This talent gap creates strong, long-term career opportunities for professionals who can confidently handle advanced software toolsets and clearly communicate insights. This curriculum path supports technical professionals looking to upgrade their legacy analytical workflows, code developers moving into specialised data engineering roles, and quantitative thinkers working toward senior machine learning, generative AI, and automation roles. At London Academy of IT, we provide instructor-led online and in-person IT training in Data Analytics, SQL, Python, Power BI, and more. Our cutting-edge courses are designed to boost performance and enhance employability, providing the competitive edge employers look for. Our Contacts London Academy of IT 64 Broadway Stratford London E15 1NT United Kingdom
07/06/2026
Full time
Follow a practical Data Scientist career path with live, instructor-led training in Python, advanced statistics, data analysis, machine learning algorithms, and deep learning models. A Data Scientist designs and constructs new processes for data modelling and production using prototypes, algorithms, predictive models, and custom analysis. This specialised career path is engineered for analytical thinkers who want to bridge the gap between structured data exploration, advanced statistical programming, and predictive software infrastructure. The London Academy of IT Data Scientist Career Path scales from core data processing proficiencies up to state-of-the-art machine learning deployment. You will master critical open-source software systems, working extensively with Python programming, advanced descriptive statistics, Pandas, NumPy, Scikit-Learn, and TensorFlow. Progressing through this verified curriculum block gives you the mathematical foundation and computational mechanics necessary to transition into technical roles like Junior Data Scientist, Machine Learning Engineer, Data Scientist, and Artificial Intelligence Specialist. Recommended Learning Pathway Complete these milestone training steps sequentially to achieve full proficiency: This path is highly suitable for individuals with a basic comfort level in computing, introductory database logic, or math fundamentals. While a deep mathematical background is not required to begin, a strong logical mindset and an interest in statistics, pattern recognition, and scripting will significantly accelerate your progress. To establish professional-grade technical authority as a Data Scientist, you should develop comprehensive skills in: Python programming structures, object-oriented concepts, and advanced scripting Descriptive and inferential statistics, probability distributions, and hypothesis testing NumPy and Pandas for multidimensional matrix operations and high-performance data manipulation Matplotlib, Seaborn, and data visualisation strategies for explaining complex mathematical trends Supervised and unsupervised machine learning models, including regressions, decision trees, and clustering via Scikit-Learn Deep learning fundamentals, neural networks, and computer vision abstractions via TensorFlow and Keras Feature engineering, pipeline deployment, data preprocessing, and model evaluation metrics Day-to-Day Responsibilities Data Scientists extract meaning from massive volumes of structured and unstructured data, engineering automated pipelines and predictive models to discover hidden signals that guide enterprise strategies. Sourcing, cleaning, and validating large datasets across enterprise storage clouds Conducting exploratory data analysis (EDA) to uncover meaningful visual patterns and insights Selecting, training, and tuning predictive machine learning algorithms for production environments Applying statistical methods and mathematical models to evaluate project results and test business strategies Building automated data processing pipelines to feed real-time analytical systems Collaborating with data engineers, product teams, and business managers to turn computational insights into clear, actionable strategies Translating complex mathematical outcomes into intuitive data visualisations for non-technical stakeholders Market Opportunities & Career Landscape The demand for advanced predictive capabilities spans every modern commercial sector. Global organisations across healthcare, algorithmic finance, e-commerce networks, automated supply chains, technology start-ups, and scientific research institutes heavily rely on data science to predict trends, build smart products, and gain a competitive edge. As big data frameworks and AI systems continue to grow rapidly, companies face an ongoing shortage of talent capable of writing clean, scalable modelling code and interpreting deep statistical trends. This talent gap creates strong, long-term career opportunities for professionals who can confidently handle advanced software toolsets and clearly communicate insights. This curriculum path supports technical professionals looking to upgrade their legacy analytical workflows, code developers moving into specialised data engineering roles, and quantitative thinkers working toward senior machine learning, generative AI, and automation roles. At London Academy of IT, we provide instructor-led online and in-person IT training in Data Analytics, SQL, Python, Power BI, and more. Our cutting-edge courses are designed to boost performance and enhance employability, providing the competitive edge employers look for. Our Contacts London Academy of IT 64 Broadway Stratford London E15 1NT United Kingdom
Who We Are FTI Consulting is a leading global expert firm helping organizations face crisis and transformation. The firm works with many of the world's top multinational corporations, law firms, banks and private equity firms on high impact issues. We respond rapidly to dynamic and complex situations and foster an inclusive, collaborative culture that promotes professional development. About The Role Senior Data Scientists on the AI Build Team develop end to end solutions that clients rely on in production. They guide, lead, and mentor junior members while managing key workstreams. The team deploys advanced ML/AI across a range of applications-including NLP for document classification, geospatial modeling, demand forecasting, predictive maintenance, price optimization, and agentic Retrieval Augmented Generation systems. What You'll Do Data Management Develop and oversee comprehensive ETL processes Design and maintain functional relational databases Structure and perform quality control procedures for data ingestion, querying, and usage Data Analysis Perform exploratory data analysis and render key insights through evidenced results Execute data quality assessments Illustrate material understandings through coherent data visualizations Execute and tune statistical analyses Modeling Manage proof of concepts, researching and designing approach Design modelling approach and identify appropriate metrics from both technical and business KPI perspectives Manage the model lifecycle, logging parameters and metrics, and storing artifacts Take ownership of model quality control Productionize models Ongoing monitoring of model performance Engineering Develop data pipelines and models that are well designed and auditable Write production ready code that is scalable, maintainable, and adheres to best design principles Set standards and promote best practices for engineering within the team Communication Partner regularly with internal and external stakeholders, both technical and non technical Lead meetings to showcase results and insights Coach and mentor junior data scientists What You'll Grow We are committed to investing in your professional development. You will have access to tailored programs, a dedicated coach, and regular coaching sessions that support your growth and leadership development. As you progress, you'll participate in programs that prepare you for the next stage of your career at FTI. What You'll Need to Succeed Experience managing and ideating proof of concepts Experience leading workstreams in larger productionised solutions Experience coaching and training junior resources Bachelor's degree in Math, Physics, Computer Science, Statistics, or equivalent A few years of data science experience Ability to travel to clients and FTI office(s) Technical Platform Requirements Proficiency in Python (including object oriented programming and design principles) Proficiency in SQL, with strong database structure and efficiency knowledge Proficiency in Git Proficiency in AI/ML frameworks: Huggingface, Torch, TensorFlow, Scikit Learn, SpaCy Experience with MLOps platforms such as MLflow, dbt, Docker, Kubernetes Experience with cloud environments such as AWS Experience with AI/ML topics: NLP, Forecasting, Clustering, Recommendation Engines, Network Analysis, Regressions Experience with AI/ML concepts: Cross Validation, Ensemble Methods, Over/Under Fitting, Accuracy/Precision/Recall, RAG, Agents Understanding of AI/ML performance measurement best practices, bias, fairness, and bias mitigation Experience with computer science concepts: Hashing, Space Complexity, Parallel Processing Experience working with Linux/ nix systems, bash scripting, SSH Experience in a Solution Architect role, designing technical solutions including database design, ModelOps, and orchestration Equal Opportunity Statement FTI Consulting is an equal opportunity employer and does not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation.
07/06/2026
Full time
Who We Are FTI Consulting is a leading global expert firm helping organizations face crisis and transformation. The firm works with many of the world's top multinational corporations, law firms, banks and private equity firms on high impact issues. We respond rapidly to dynamic and complex situations and foster an inclusive, collaborative culture that promotes professional development. About The Role Senior Data Scientists on the AI Build Team develop end to end solutions that clients rely on in production. They guide, lead, and mentor junior members while managing key workstreams. The team deploys advanced ML/AI across a range of applications-including NLP for document classification, geospatial modeling, demand forecasting, predictive maintenance, price optimization, and agentic Retrieval Augmented Generation systems. What You'll Do Data Management Develop and oversee comprehensive ETL processes Design and maintain functional relational databases Structure and perform quality control procedures for data ingestion, querying, and usage Data Analysis Perform exploratory data analysis and render key insights through evidenced results Execute data quality assessments Illustrate material understandings through coherent data visualizations Execute and tune statistical analyses Modeling Manage proof of concepts, researching and designing approach Design modelling approach and identify appropriate metrics from both technical and business KPI perspectives Manage the model lifecycle, logging parameters and metrics, and storing artifacts Take ownership of model quality control Productionize models Ongoing monitoring of model performance Engineering Develop data pipelines and models that are well designed and auditable Write production ready code that is scalable, maintainable, and adheres to best design principles Set standards and promote best practices for engineering within the team Communication Partner regularly with internal and external stakeholders, both technical and non technical Lead meetings to showcase results and insights Coach and mentor junior data scientists What You'll Grow We are committed to investing in your professional development. You will have access to tailored programs, a dedicated coach, and regular coaching sessions that support your growth and leadership development. As you progress, you'll participate in programs that prepare you for the next stage of your career at FTI. What You'll Need to Succeed Experience managing and ideating proof of concepts Experience leading workstreams in larger productionised solutions Experience coaching and training junior resources Bachelor's degree in Math, Physics, Computer Science, Statistics, or equivalent A few years of data science experience Ability to travel to clients and FTI office(s) Technical Platform Requirements Proficiency in Python (including object oriented programming and design principles) Proficiency in SQL, with strong database structure and efficiency knowledge Proficiency in Git Proficiency in AI/ML frameworks: Huggingface, Torch, TensorFlow, Scikit Learn, SpaCy Experience with MLOps platforms such as MLflow, dbt, Docker, Kubernetes Experience with cloud environments such as AWS Experience with AI/ML topics: NLP, Forecasting, Clustering, Recommendation Engines, Network Analysis, Regressions Experience with AI/ML concepts: Cross Validation, Ensemble Methods, Over/Under Fitting, Accuracy/Precision/Recall, RAG, Agents Understanding of AI/ML performance measurement best practices, bias, fairness, and bias mitigation Experience with computer science concepts: Hashing, Space Complexity, Parallel Processing Experience working with Linux/ nix systems, bash scripting, SSH Experience in a Solution Architect role, designing technical solutions including database design, ModelOps, and orchestration Equal Opportunity Statement FTI Consulting is an equal opportunity employer and does not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation.
ABOUT IDBS IDBS helps BioPharma organisations unlock the potential of AI/ML to improve the lives of patients. As a trusted long-term partner to 80% of the top 20 global BioPharma companies1, IDBS delivers powerful cloud software and services specifically designed to meet the evolving needs of the BioPharma sector. IDBS, a Danaher company, leverages 35 years of scientific informatics expertise to help organisations design, execute and orchestrate processes, manage, contextualise and structure data and gain valuable insights throughout the product lifecycle, from R&D through manufacturing. Known for its signature IDBS E WorkBook software, IDBS has extended its flexible, scalable solutions to the IDBS Polar and PIMS cloud platforms to help scientists make smarter decisions with assured confidence in both GxP and non GxP environments. Do you want to join a DevOps team that keeps our cloud platform running at its best? We manage a high availability Linux environment in AWS and empower development teams with the tools, automation, and CI/CD pipelines they rely on every day. Our DevOps team helps engineers build reliable software fast by providing shared infrastructure and strong SRE practices that ensure consistency, efficiency, and scalability. As a Principal DevOps Engineer, you'll lead the design and operation of our AWS/Linux platform, improving reliability and scalability, and drive faster, safer deployments. You'll shape the technical roadmap, elevate DevOps standards, and deliver measurable impact from reducing MTTR to increasing deployment frequency and improving consistency across environments. What you'll get you doing Lead the technical roadmap by partnering with Architecture and feature teams, influencing key design decisions and driving modern tooling and best practices. Optimise and operate scalable AWS infrastructure, ensuring strong performance, resilience, and cost efficiency through effective AWS Cost Management and FinOps practices. Drive DevOps excellence by building and evolving CI/CD pipelines, automation, and Infrastructure as Code to enable fast, safe, and reliable software delivery. Champion modern engineering practices by evaluating and introducing new technologies, running proofs of concept, and uplifting standards across the organisation. Mentor and support engineering teams, while ensuring platform reliability, compliance, and participating in on call/out of hour support when needed. Here is what success in this role looks like Confidently operate and improve AWS/Linux platforms, delivering secure, scalable, and highly available systems while guiding teams on best practices and architectural decisions. Drive cloud cost efficiency through strong FinOps practices, reducing waste and optimising workloads with rightsizing, storage lifecycle policies, and AWS Savings Plans or Reserved Instances. Deliver high quality IaaC using Terraform (and/or Puppet for configuration management), creating modular, reusable, and policy compliant IaaC that enables consistent, multi environment provisioning. Design and run production grade Kubernetes environments covering Helm, RBAC, networking/ingress, secrets management, scaling strategies, and deployment patterns-to deliver reliable, scalable, cloud native infrastructure. Build and maintain robust CI/CD workflows using Git and/or Jenkins, including automated testing, security scanning, and environment promotion, resulting in improved deployment frequencies, change failure rates, etc. Automate operational and developer workflows using Bash, Python, or Java, eliminating manual effort and enabling self service capabilities that empower engineering teams. Elevate engineering capability by mentoring others, improving documentation, and influencing platform wide standards, ensuring best practices are embedded across teams and reflected in everyday development and operations. It would be a plus if you also possess previous experience in Hands on experience with enterprise and cloud native databases such as Oracle, MySQL, MongoDB, or PostgreSQL, supporting deeper insight into platform behaviour and performance. A strong passion for open source technologies, with the ability to evaluate, advocate, and introduce community driven tools that strengthen engineering capabilities. Relevant AWS certifications (e.g., AWS Solutions Architect - Associate/Professional or DevOps Engineer - Professional), demonstrating advanced cloud proficiency and architectural depth. Flexible Work Arrangement At IDBS, we believe in designing a better, more sustainable workforce. We recognise the benefits of flexible working arrangements for eligible roles and are committed to providing enriching careers, no matter the work arrangement. This position is eligible for a flexible work arrangement in which you can work part time at the Company location identified above and part time remotely from your home. Additional information about this work arrangement will be provided by your interview team. Explore the flexibility and challenge that working for IDBS can provide. Additional Information Join our winning team today. Together, we'll accelerate the real life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.
07/06/2026
Full time
ABOUT IDBS IDBS helps BioPharma organisations unlock the potential of AI/ML to improve the lives of patients. As a trusted long-term partner to 80% of the top 20 global BioPharma companies1, IDBS delivers powerful cloud software and services specifically designed to meet the evolving needs of the BioPharma sector. IDBS, a Danaher company, leverages 35 years of scientific informatics expertise to help organisations design, execute and orchestrate processes, manage, contextualise and structure data and gain valuable insights throughout the product lifecycle, from R&D through manufacturing. Known for its signature IDBS E WorkBook software, IDBS has extended its flexible, scalable solutions to the IDBS Polar and PIMS cloud platforms to help scientists make smarter decisions with assured confidence in both GxP and non GxP environments. Do you want to join a DevOps team that keeps our cloud platform running at its best? We manage a high availability Linux environment in AWS and empower development teams with the tools, automation, and CI/CD pipelines they rely on every day. Our DevOps team helps engineers build reliable software fast by providing shared infrastructure and strong SRE practices that ensure consistency, efficiency, and scalability. As a Principal DevOps Engineer, you'll lead the design and operation of our AWS/Linux platform, improving reliability and scalability, and drive faster, safer deployments. You'll shape the technical roadmap, elevate DevOps standards, and deliver measurable impact from reducing MTTR to increasing deployment frequency and improving consistency across environments. What you'll get you doing Lead the technical roadmap by partnering with Architecture and feature teams, influencing key design decisions and driving modern tooling and best practices. Optimise and operate scalable AWS infrastructure, ensuring strong performance, resilience, and cost efficiency through effective AWS Cost Management and FinOps practices. Drive DevOps excellence by building and evolving CI/CD pipelines, automation, and Infrastructure as Code to enable fast, safe, and reliable software delivery. Champion modern engineering practices by evaluating and introducing new technologies, running proofs of concept, and uplifting standards across the organisation. Mentor and support engineering teams, while ensuring platform reliability, compliance, and participating in on call/out of hour support when needed. Here is what success in this role looks like Confidently operate and improve AWS/Linux platforms, delivering secure, scalable, and highly available systems while guiding teams on best practices and architectural decisions. Drive cloud cost efficiency through strong FinOps practices, reducing waste and optimising workloads with rightsizing, storage lifecycle policies, and AWS Savings Plans or Reserved Instances. Deliver high quality IaaC using Terraform (and/or Puppet for configuration management), creating modular, reusable, and policy compliant IaaC that enables consistent, multi environment provisioning. Design and run production grade Kubernetes environments covering Helm, RBAC, networking/ingress, secrets management, scaling strategies, and deployment patterns-to deliver reliable, scalable, cloud native infrastructure. Build and maintain robust CI/CD workflows using Git and/or Jenkins, including automated testing, security scanning, and environment promotion, resulting in improved deployment frequencies, change failure rates, etc. Automate operational and developer workflows using Bash, Python, or Java, eliminating manual effort and enabling self service capabilities that empower engineering teams. Elevate engineering capability by mentoring others, improving documentation, and influencing platform wide standards, ensuring best practices are embedded across teams and reflected in everyday development and operations. It would be a plus if you also possess previous experience in Hands on experience with enterprise and cloud native databases such as Oracle, MySQL, MongoDB, or PostgreSQL, supporting deeper insight into platform behaviour and performance. A strong passion for open source technologies, with the ability to evaluate, advocate, and introduce community driven tools that strengthen engineering capabilities. Relevant AWS certifications (e.g., AWS Solutions Architect - Associate/Professional or DevOps Engineer - Professional), demonstrating advanced cloud proficiency and architectural depth. Flexible Work Arrangement At IDBS, we believe in designing a better, more sustainable workforce. We recognise the benefits of flexible working arrangements for eligible roles and are committed to providing enriching careers, no matter the work arrangement. This position is eligible for a flexible work arrangement in which you can work part time at the Company location identified above and part time remotely from your home. Additional information about this work arrangement will be provided by your interview team. Explore the flexibility and challenge that working for IDBS can provide. Additional Information Join our winning team today. Together, we'll accelerate the real life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.
Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. THE TEAM 90 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation Senior Data Scientist - Strategic Finance Relay's network is scaling fast. The decisions that shape that growth, where to expand, how to price, where to invest, depend on models that can simulate how the network actually behaves and how it will develop as density, geography, and operating models change. Those models need to be faster, more dynamic, and more modular than what exists today. This role exists to build them. As a Senior Data Scientist, Strategic Finance, you will own the simulation of Relay's network. You will build and maintain a modular collection of models that captures how our unit economics work end-to-end, from first-mile collection through sortation, middle-mile, and last-mile delivery. When the business asks "what happens to our cost per parcel if we enter a new region, change a service type, or shift our first-mile operating model?", your system answers that question, fast and accurately. Your models span the full network, from volume forecasting through to routing. But the real job is bigger than any single model. You deeply understand the components of our network economics, you know where the current models are wrong or incomplete, and you systematically upgrade them. When a new operating model is introduced in the first mile, you upgrade that component. When a new service type changes sortation costs, you understand the change at a granular level and build a model that captures it properly. Your primary partner is the finance team: Strategic Finance, Commercial Finance, and FP&A. You translate their questions into data science problems and give them tools that let them explore pricing, margins, and projections dynamically rather than waiting for models to be manually rebuilt. You product-manage your own roadmap: you take in the needs, prioritise what to build, and ship it. This is a new role. There is no existing system to inherit. You are building from scratch; part of a data organisation of around 30 engineers, analysts, and data scientists, but embedded in our finance squad. You'll be supported by a dedicated finance analyst within the squad who builds the reporting and visibility layer on top of your models, working directly with you on priorities and analytical approach. Who Will Thrive in This Role? You're a strong modeller who thinks in systems. You naturally break complex problems into components, understand the assumptions behind each one, and know when those assumptions need revisiting. You're a builder. You don't wait for requirements to be handed to you. You go and understand the problem, figure out what's needed, and ship something useful. Then you iterate. You're fluent in Python and SQL, and you're comfortable doing your own data engineering when needed. You can pull, transform, and model data without waiting for someone else to prepare it for you. You have real experience with financial modelling, forecasting, or simulation, ideally in a context where you were building models that informed commercial or strategic decisions, not just producing analysis. You communicate clearly with non-technical partners. Finance will rely on your models to make decisions. You need to explain what they do, where they're reliable, and where they're not. You care about the problem more than the technique. You'll use whatever modelling approach fits. The point is accuracy, speed, and usefulness, not methodological elegance. You take ownership of your domain. You set your own roadmap, manage trade-offs, and hold yourself accountable for whether the models are actually driving better decisions. Logistics or delivery network experience is a plus, but what matters more is the ability to learn a complex operational domain quickly and model it well. Compensation and Benefits Generous equity, richer than 99% of European startups, with annual top-ups to share Relay's success. Private health & dental coverage, so comprehensive you'd need to be a partner at a Magic Circle law firm to match it. 25 days of holidays Enhanced parental leave. Hardware of your choice. Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more). Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
07/06/2026
Full time
Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. THE TEAM 90 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation Senior Data Scientist - Strategic Finance Relay's network is scaling fast. The decisions that shape that growth, where to expand, how to price, where to invest, depend on models that can simulate how the network actually behaves and how it will develop as density, geography, and operating models change. Those models need to be faster, more dynamic, and more modular than what exists today. This role exists to build them. As a Senior Data Scientist, Strategic Finance, you will own the simulation of Relay's network. You will build and maintain a modular collection of models that captures how our unit economics work end-to-end, from first-mile collection through sortation, middle-mile, and last-mile delivery. When the business asks "what happens to our cost per parcel if we enter a new region, change a service type, or shift our first-mile operating model?", your system answers that question, fast and accurately. Your models span the full network, from volume forecasting through to routing. But the real job is bigger than any single model. You deeply understand the components of our network economics, you know where the current models are wrong or incomplete, and you systematically upgrade them. When a new operating model is introduced in the first mile, you upgrade that component. When a new service type changes sortation costs, you understand the change at a granular level and build a model that captures it properly. Your primary partner is the finance team: Strategic Finance, Commercial Finance, and FP&A. You translate their questions into data science problems and give them tools that let them explore pricing, margins, and projections dynamically rather than waiting for models to be manually rebuilt. You product-manage your own roadmap: you take in the needs, prioritise what to build, and ship it. This is a new role. There is no existing system to inherit. You are building from scratch; part of a data organisation of around 30 engineers, analysts, and data scientists, but embedded in our finance squad. You'll be supported by a dedicated finance analyst within the squad who builds the reporting and visibility layer on top of your models, working directly with you on priorities and analytical approach. Who Will Thrive in This Role? You're a strong modeller who thinks in systems. You naturally break complex problems into components, understand the assumptions behind each one, and know when those assumptions need revisiting. You're a builder. You don't wait for requirements to be handed to you. You go and understand the problem, figure out what's needed, and ship something useful. Then you iterate. You're fluent in Python and SQL, and you're comfortable doing your own data engineering when needed. You can pull, transform, and model data without waiting for someone else to prepare it for you. You have real experience with financial modelling, forecasting, or simulation, ideally in a context where you were building models that informed commercial or strategic decisions, not just producing analysis. You communicate clearly with non-technical partners. Finance will rely on your models to make decisions. You need to explain what they do, where they're reliable, and where they're not. You care about the problem more than the technique. You'll use whatever modelling approach fits. The point is accuracy, speed, and usefulness, not methodological elegance. You take ownership of your domain. You set your own roadmap, manage trade-offs, and hold yourself accountable for whether the models are actually driving better decisions. Logistics or delivery network experience is a plus, but what matters more is the ability to learn a complex operational domain quickly and model it well. Compensation and Benefits Generous equity, richer than 99% of European startups, with annual top-ups to share Relay's success. Private health & dental coverage, so comprehensive you'd need to be a partner at a Magic Circle law firm to match it. 25 days of holidays Enhanced parental leave. Hardware of your choice. Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more). Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most critical challenges and unlock new opportunities for growth. Since pioneering business strategy in 1963, BCG has evolved into a global leader in transformation-integrating strategy, technology, data, and human-centered design to deliver measurable impact. Today's most competitive organizations seamlessly combine digital and human capabilities. Our diverse global teams bring deep functional expertise, bold thinking, and rigorous execution to help clients navigate complexity, build enduring advantage, and drive lasting results. We Are BCG X BCG X is the tech build and design unit of BCG. With 3,000+ technologists, engineers, data scientists, and designers, we design, build, and scale digital products, platforms, and AI-powered solutions embedded at the core of our clients' businesses. We operate at the intersection of product, strategy, and engineering- transforming businesses through digital, launching new ventures and embedding AI into critical customer and operational journeys. Our teams tackle complex, high-stakes challenges across industries, building solutions that must perform at scale in real-world environments. We bring the rigor of consulting together with the craft standards of leading technology The Role As an AI Experience Designer at BCG X, you are a product designer first. You will own meaningful portions of complex digital experiences that operate at enterprise scale, contributing across the full product lifecycle-from early problem framing through high-fidelity execution and delivery. You will work within multidisciplinary teams alongside strategy consultants, product managers, engineers, consultants, and data scientists to design solutions that are usable, elegant, and scalable-balancing user needs, technical constraints, and measurable business impact. This role demands strong craft, structured thinking, and comfort operating in high-expectation environments. While execution-focused, you will gain increasing exposure to stakeholder alignment, decision-making, and product strategy, working under the guidance of seniors and organizational leaders. Our AI Experience Designers are tasked with developing product and service solutions that consider all the complexities of delivering business and customer value. We expect AI Experience Designers to be hands-on builders with developing product judgment-not task executors. We Are BCG X We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do Own and deliver substantial portions of end-to-end product design work, from problem definition through high-fidelity execution Conduct qualitative and quantitative research, incorporating usability insights, product analytics, and experimentation results into design decisions Translate ambiguous business challenges into structured user flows, interaction models, and polished UI systems Apply systems thinking to ensure coherence across journeys, touchpoints, and platforms Design scalable solutions within complex enterprise ecosystems and technical constraints Contribute meaningfully to design systems, including components, patterns, tokens, accessibility standards, responsible AI, and documentation. Leverage AI-native and AI-assisted tools and workflows to conduct research, accelerate iteration, prototype faster, and explore solution spaces responsibly. Use Figma as a native design environment, leveraging advanced features (components, variables, prototyping logic, dev mode, versioning) Participate and contribute to client meetings, presentations, workshops, while owning the design topic as part pf a multidisciplinary team Collaborate effectively with multi-disciplinary teams, including management consultants, product managers, engineers, marketers, and corporate executives Produce structured documentation and client-ready materials that communicate decisions with clarity and precision Incorporate qualitative research, usability insights, product analytics, and experimentation results into design decisions Clearly articulate trade-offs and defend design rationale in client-facing settings Produce structured documentation and client-ready materials that communicate decisions with clarity and precision Clearly articulate trade-offs and defend design decisions in client-facing settings, including the ROI and business rationale. What You'll Bring 2-4 years of professional experience designing digital products at scale in product, UX, or experience design roles A portfolio demonstrating: Strong interaction design foundations High-quality visual craft and attention to detail Structured problem framing and systems thinking Evidence of shipped or production-level work Advanced experience working with AI-native and AI-enabled research, design, and collaboration tools-such as Chat GPT, Lovable, Figma AI, Replit (knowledge in Cursor and V0 is a plus). Advanced proficiency in Figma, including component-based design systems, auto layout, variables, prototyping logic, and developer collaboration workflows (e.g., Dev Mode, structured handoff) Demonstrated understanding of: Human-centered design principles and usability best practices Accessibility standards (WCAG fundamentals) Responsive, multi-platform, and cross-device design Product, technical, and business constraints in real-world environments Ability to connect design decisions and rationale to user outcomes, articulating trade-offs and measurable business impact in structured discussions Confidence articulating trade-offs and defending design rationale in structured discussions Experience collaborating within cross-functional product teams Strong written and verbal communication skills in English, including the ability to produce clear, concise, client-ready documentation Ability to travel frequently based on client and project needs (50% travel expectations) At this seniority level, we expect high standards of craft and visual precision, ownership over defined workstreams with minimal supervision, structured thinking in ambiguous environments, and accountability for quality and delivery timelines. This role demands curiosity, coachability, and rapid growth. Preferred Qualifications: Experience designing enterprise, B2B, or complex transactional systems Exposure to evolving or contributing to design systems at scale (components, tokens, patterns, documentation) Familiarity with experimentation frameworks, product metrics, and data-informed iteration Proficiency using AI-enabled design workflows or AI-native product experiences Experience in operating in client-facing, high-expectation, or consulting-style environments Comfort operating in client-facing, high-expectation, or consulting-style environments Who You'll Work With How You'll Grow This role is designed as a fast-track development path toward Senior Experience Designer at BCG X. You will progressively build capability in: Framing ambiguous, high-impact problem spaces Structuring and leading defined design workstreams Managing stakeholder alignment in complex organizational environments Connecting experience decisions to measurable product and business outcomes Elevating craft standards and contributing to design culture within BCG X You will receive ongoing coaching, structured feedback, and mentorship from senior designers and design leads, with increasing ownership over time. This is a demanding role suited for designers who thrive in rigorous environments and are motivated by impact-not just output. Additional info What to Expect A hands-on role with high standards for craft, clarity, and rigor Ownership of meaningful workstreams within enterprise-scale products Early exposure to senior stakeholders and complex decision-making environments Work on high-impact digital products used by customers, employees, and organizations globally A fast-paced, multidisciplinary environment blending consulting discipline with product excellence Close collaboration across strategy consulting, product, engineering, data, and AI teams Direct exposure to clients and client teams Why Join BCG X At BCG X, design is foundational-not ornamental. We believe strong product thinking and exceptional craft drive adoption, unlock business value, and enable transformation at scale. You will work on consequential problems alongside exceptional cross-disciplinary teams, developing both product depth and strategic perspective at an accelerated pace. . click apply for full job details
06/06/2026
Full time
Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most critical challenges and unlock new opportunities for growth. Since pioneering business strategy in 1963, BCG has evolved into a global leader in transformation-integrating strategy, technology, data, and human-centered design to deliver measurable impact. Today's most competitive organizations seamlessly combine digital and human capabilities. Our diverse global teams bring deep functional expertise, bold thinking, and rigorous execution to help clients navigate complexity, build enduring advantage, and drive lasting results. We Are BCG X BCG X is the tech build and design unit of BCG. With 3,000+ technologists, engineers, data scientists, and designers, we design, build, and scale digital products, platforms, and AI-powered solutions embedded at the core of our clients' businesses. We operate at the intersection of product, strategy, and engineering- transforming businesses through digital, launching new ventures and embedding AI into critical customer and operational journeys. Our teams tackle complex, high-stakes challenges across industries, building solutions that must perform at scale in real-world environments. We bring the rigor of consulting together with the craft standards of leading technology The Role As an AI Experience Designer at BCG X, you are a product designer first. You will own meaningful portions of complex digital experiences that operate at enterprise scale, contributing across the full product lifecycle-from early problem framing through high-fidelity execution and delivery. You will work within multidisciplinary teams alongside strategy consultants, product managers, engineers, consultants, and data scientists to design solutions that are usable, elegant, and scalable-balancing user needs, technical constraints, and measurable business impact. This role demands strong craft, structured thinking, and comfort operating in high-expectation environments. While execution-focused, you will gain increasing exposure to stakeholder alignment, decision-making, and product strategy, working under the guidance of seniors and organizational leaders. Our AI Experience Designers are tasked with developing product and service solutions that consider all the complexities of delivering business and customer value. We expect AI Experience Designers to be hands-on builders with developing product judgment-not task executors. We Are BCG X We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do Own and deliver substantial portions of end-to-end product design work, from problem definition through high-fidelity execution Conduct qualitative and quantitative research, incorporating usability insights, product analytics, and experimentation results into design decisions Translate ambiguous business challenges into structured user flows, interaction models, and polished UI systems Apply systems thinking to ensure coherence across journeys, touchpoints, and platforms Design scalable solutions within complex enterprise ecosystems and technical constraints Contribute meaningfully to design systems, including components, patterns, tokens, accessibility standards, responsible AI, and documentation. Leverage AI-native and AI-assisted tools and workflows to conduct research, accelerate iteration, prototype faster, and explore solution spaces responsibly. Use Figma as a native design environment, leveraging advanced features (components, variables, prototyping logic, dev mode, versioning) Participate and contribute to client meetings, presentations, workshops, while owning the design topic as part pf a multidisciplinary team Collaborate effectively with multi-disciplinary teams, including management consultants, product managers, engineers, marketers, and corporate executives Produce structured documentation and client-ready materials that communicate decisions with clarity and precision Incorporate qualitative research, usability insights, product analytics, and experimentation results into design decisions Clearly articulate trade-offs and defend design rationale in client-facing settings Produce structured documentation and client-ready materials that communicate decisions with clarity and precision Clearly articulate trade-offs and defend design decisions in client-facing settings, including the ROI and business rationale. What You'll Bring 2-4 years of professional experience designing digital products at scale in product, UX, or experience design roles A portfolio demonstrating: Strong interaction design foundations High-quality visual craft and attention to detail Structured problem framing and systems thinking Evidence of shipped or production-level work Advanced experience working with AI-native and AI-enabled research, design, and collaboration tools-such as Chat GPT, Lovable, Figma AI, Replit (knowledge in Cursor and V0 is a plus). Advanced proficiency in Figma, including component-based design systems, auto layout, variables, prototyping logic, and developer collaboration workflows (e.g., Dev Mode, structured handoff) Demonstrated understanding of: Human-centered design principles and usability best practices Accessibility standards (WCAG fundamentals) Responsive, multi-platform, and cross-device design Product, technical, and business constraints in real-world environments Ability to connect design decisions and rationale to user outcomes, articulating trade-offs and measurable business impact in structured discussions Confidence articulating trade-offs and defending design rationale in structured discussions Experience collaborating within cross-functional product teams Strong written and verbal communication skills in English, including the ability to produce clear, concise, client-ready documentation Ability to travel frequently based on client and project needs (50% travel expectations) At this seniority level, we expect high standards of craft and visual precision, ownership over defined workstreams with minimal supervision, structured thinking in ambiguous environments, and accountability for quality and delivery timelines. This role demands curiosity, coachability, and rapid growth. Preferred Qualifications: Experience designing enterprise, B2B, or complex transactional systems Exposure to evolving or contributing to design systems at scale (components, tokens, patterns, documentation) Familiarity with experimentation frameworks, product metrics, and data-informed iteration Proficiency using AI-enabled design workflows or AI-native product experiences Experience in operating in client-facing, high-expectation, or consulting-style environments Comfort operating in client-facing, high-expectation, or consulting-style environments Who You'll Work With How You'll Grow This role is designed as a fast-track development path toward Senior Experience Designer at BCG X. You will progressively build capability in: Framing ambiguous, high-impact problem spaces Structuring and leading defined design workstreams Managing stakeholder alignment in complex organizational environments Connecting experience decisions to measurable product and business outcomes Elevating craft standards and contributing to design culture within BCG X You will receive ongoing coaching, structured feedback, and mentorship from senior designers and design leads, with increasing ownership over time. This is a demanding role suited for designers who thrive in rigorous environments and are motivated by impact-not just output. Additional info What to Expect A hands-on role with high standards for craft, clarity, and rigor Ownership of meaningful workstreams within enterprise-scale products Early exposure to senior stakeholders and complex decision-making environments Work on high-impact digital products used by customers, employees, and organizations globally A fast-paced, multidisciplinary environment blending consulting discipline with product excellence Close collaboration across strategy consulting, product, engineering, data, and AI teams Direct exposure to clients and client teams Why Join BCG X At BCG X, design is foundational-not ornamental. We believe strong product thinking and exceptional craft drive adoption, unlock business value, and enable transformation at scale. You will work on consequential problems alongside exceptional cross-disciplinary teams, developing both product depth and strategic perspective at an accelerated pace. . click apply for full job details
Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most critical challenges and unlock new opportunities for growth. Since pioneering business strategy in 1963, BCG has evolved into a global leader in transformation-integrating strategy, technology, data, and human-centered design to deliver measurable impact. Today's most competitive organizations seamlessly combine digital and human capabilities. Our diverse global teams bring deep functional expertise, bold thinking, and rigorous execution to help clients navigate complexity, build enduring advantage, and drive lasting results. We Are BCG X BCG X is the tech build and design unit of BCG. With 3,000+ technologists, engineers, data scientists, and designers, we design, build, and scale digital products, platforms, and AI-powered solutions embedded at the core of our clients' businesses. We operate at the intersection of product, strategy, and engineering- transforming businesses through digital, launching new ventures and embedding AI into critical customer and operational journeys. Our teams tackle complex, high-stakes challenges across industries, building solutions that must perform at scale in real-world environments. We bring the rigor of consulting together with the craft standards of leading technology The Role As an AI Experience Designer at BCG X, you are a product designer first. You will own meaningful portions of complex digital experiences that operate at enterprise scale, contributing across the full product lifecycle-from early problem framing through high-fidelity execution and delivery. You will work within multidisciplinary teams alongside strategy consultants, product managers, engineers, consultants, and data scientists to design solutions that are usable, elegant, and scalable-balancing user needs, technical constraints, and measurable business impact. This role demands strong craft, structured thinking, and comfort operating in high-expectation environments. While execution-focused, you will gain increasing exposure to stakeholder alignment, decision-making, and product strategy, working under the guidance of seniors and organizational leaders. Our AI Experience Designers are tasked with developing product and service solutions that consider all the complexities of delivering business and customer value. We expect AI Experience Designers to be hands-on builders with developing product judgment-not task executors. We Are BCG X We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do Own and deliver substantial portions of end-to-end product design work, from problem definition through high-fidelity execution Conduct qualitative and quantitative research, incorporating usability insights, product analytics, and experimentation results into design decisions Translate ambiguous business challenges into structured user flows, interaction models, and polished UI systems Apply systems thinking to ensure coherence across journeys, touchpoints, and platforms Design scalable solutions within complex enterprise ecosystems and technical constraints Contribute meaningfully to design systems, including components, patterns, tokens, accessibility standards, responsible AI, and documentation. Leverage AI-native and AI-assisted tools and workflows to conduct research, accelerate iteration, prototype faster, and explore solution spaces responsibly. Use Figma as a native design environment, leveraging advanced features (components, variables, prototyping logic, dev mode, versioning) Participate and contribute to client meetings, presentations, workshops, while owning the design topic as part pf a multidisciplinary team Collaborate effectively with multi-disciplinary teams, including management consultants, product managers, engineers, marketers, and corporate executives Produce structured documentation and client-ready materials that communicate decisions with clarity and precision Incorporate qualitative research, usability insights, product analytics, and experimentation results into design decisions Clearly articulate trade-offs and defend design rationale in client-facing settings Produce structured documentation and client-ready materials that communicate decisions with clarity and precision Clearly articulate trade-offs and defend design decisions in client-facing settings, including the ROI and business rationale. What You'll Bring 2-4 years of professional experience designing digital products at scale in product, UX, or experience design roles A portfolio demonstrating: Strong interaction design foundations High-quality visual craft and attention to detail Structured problem framing and systems thinking Evidence of shipped or production-level work Advanced experience working with AI-native and AI-enabled research, design, and collaboration tools-such as Chat GPT, Lovable, Figma AI, Replit (knowledge in Cursor and V0 is a plus). Advanced proficiency in Figma, including component-based design systems, auto layout, variables, prototyping logic, and developer collaboration workflows (e.g., Dev Mode, structured handoff) Demonstrated understanding of: Human-centered design principles and usability best practices Accessibility standards (WCAG fundamentals) Responsive, multi-platform, and cross-device design Product, technical, and business constraints in real-world environments Ability to connect design decisions and rationale to user outcomes, articulating trade-offs and measurable business impact in structured discussions Confidence articulating trade-offs and defending design rationale in structured discussions Experience collaborating within cross-functional product teams Strong written and verbal communication skills in English, including the ability to produce clear, concise, client-ready documentation Ability to travel frequently based on client and project needs (50% travel expectations) At this seniority level, we expect high standards of craft and visual precision, ownership over defined workstreams with minimal supervision, structured thinking in ambiguous environments, and accountability for quality and delivery timelines. This role demands curiosity, coachability, and rapid growth. Preferred Qualifications: Experience designing enterprise, B2B, or complex transactional systems Exposure to evolving or contributing to design systems at scale (components, tokens, patterns, documentation) Familiarity with experimentation frameworks, product metrics, and data-informed iteration Proficiency using AI-enabled design workflows or AI-native product experiences Experience in operating in client-facing, high-expectation, or consulting-style environments Comfort operating in client-facing, high-expectation, or consulting-style environments Who You'll Work With How You'll Grow This role is designed as a fast-track development path toward Senior Experience Designer at BCG X. You will progressively build capability in: Framing ambiguous, high-impact problem spaces Structuring and leading defined design workstreams Managing stakeholder alignment in complex organizational environments Connecting experience decisions to measurable product and business outcomes Elevating craft standards and contributing to design culture within BCG X You will receive ongoing coaching, structured feedback, and mentorship from senior designers and design leads, with increasing ownership over time. This is a demanding role suited for designers who thrive in rigorous environments and are motivated by impact-not just output. Additional info What to Expect A hands-on role with high standards for craft, clarity, and rigor Ownership of meaningful workstreams within enterprise-scale products Early exposure to senior stakeholders and complex decision-making environments Work on high-impact digital products used by customers, employees, and organizations globally A fast-paced, multidisciplinary environment blending consulting discipline with product excellence Close collaboration across strategy consulting, product, engineering, data, and AI teams Direct exposure to clients and client teams Why Join BCG X At BCG X, design is foundational-not ornamental. We believe strong product thinking and exceptional craft drive adoption, unlock business value, and enable transformation at scale. You will work on consequential problems alongside exceptional cross-disciplinary teams, developing both product depth and strategic perspective at an accelerated pace. . click apply for full job details
06/06/2026
Full time
Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most critical challenges and unlock new opportunities for growth. Since pioneering business strategy in 1963, BCG has evolved into a global leader in transformation-integrating strategy, technology, data, and human-centered design to deliver measurable impact. Today's most competitive organizations seamlessly combine digital and human capabilities. Our diverse global teams bring deep functional expertise, bold thinking, and rigorous execution to help clients navigate complexity, build enduring advantage, and drive lasting results. We Are BCG X BCG X is the tech build and design unit of BCG. With 3,000+ technologists, engineers, data scientists, and designers, we design, build, and scale digital products, platforms, and AI-powered solutions embedded at the core of our clients' businesses. We operate at the intersection of product, strategy, and engineering- transforming businesses through digital, launching new ventures and embedding AI into critical customer and operational journeys. Our teams tackle complex, high-stakes challenges across industries, building solutions that must perform at scale in real-world environments. We bring the rigor of consulting together with the craft standards of leading technology The Role As an AI Experience Designer at BCG X, you are a product designer first. You will own meaningful portions of complex digital experiences that operate at enterprise scale, contributing across the full product lifecycle-from early problem framing through high-fidelity execution and delivery. You will work within multidisciplinary teams alongside strategy consultants, product managers, engineers, consultants, and data scientists to design solutions that are usable, elegant, and scalable-balancing user needs, technical constraints, and measurable business impact. This role demands strong craft, structured thinking, and comfort operating in high-expectation environments. While execution-focused, you will gain increasing exposure to stakeholder alignment, decision-making, and product strategy, working under the guidance of seniors and organizational leaders. Our AI Experience Designers are tasked with developing product and service solutions that consider all the complexities of delivering business and customer value. We expect AI Experience Designers to be hands-on builders with developing product judgment-not task executors. We Are BCG X We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do Own and deliver substantial portions of end-to-end product design work, from problem definition through high-fidelity execution Conduct qualitative and quantitative research, incorporating usability insights, product analytics, and experimentation results into design decisions Translate ambiguous business challenges into structured user flows, interaction models, and polished UI systems Apply systems thinking to ensure coherence across journeys, touchpoints, and platforms Design scalable solutions within complex enterprise ecosystems and technical constraints Contribute meaningfully to design systems, including components, patterns, tokens, accessibility standards, responsible AI, and documentation. Leverage AI-native and AI-assisted tools and workflows to conduct research, accelerate iteration, prototype faster, and explore solution spaces responsibly. Use Figma as a native design environment, leveraging advanced features (components, variables, prototyping logic, dev mode, versioning) Participate and contribute to client meetings, presentations, workshops, while owning the design topic as part pf a multidisciplinary team Collaborate effectively with multi-disciplinary teams, including management consultants, product managers, engineers, marketers, and corporate executives Produce structured documentation and client-ready materials that communicate decisions with clarity and precision Incorporate qualitative research, usability insights, product analytics, and experimentation results into design decisions Clearly articulate trade-offs and defend design rationale in client-facing settings Produce structured documentation and client-ready materials that communicate decisions with clarity and precision Clearly articulate trade-offs and defend design decisions in client-facing settings, including the ROI and business rationale. What You'll Bring 2-4 years of professional experience designing digital products at scale in product, UX, or experience design roles A portfolio demonstrating: Strong interaction design foundations High-quality visual craft and attention to detail Structured problem framing and systems thinking Evidence of shipped or production-level work Advanced experience working with AI-native and AI-enabled research, design, and collaboration tools-such as Chat GPT, Lovable, Figma AI, Replit (knowledge in Cursor and V0 is a plus). Advanced proficiency in Figma, including component-based design systems, auto layout, variables, prototyping logic, and developer collaboration workflows (e.g., Dev Mode, structured handoff) Demonstrated understanding of: Human-centered design principles and usability best practices Accessibility standards (WCAG fundamentals) Responsive, multi-platform, and cross-device design Product, technical, and business constraints in real-world environments Ability to connect design decisions and rationale to user outcomes, articulating trade-offs and measurable business impact in structured discussions Confidence articulating trade-offs and defending design rationale in structured discussions Experience collaborating within cross-functional product teams Strong written and verbal communication skills in English, including the ability to produce clear, concise, client-ready documentation Ability to travel frequently based on client and project needs (50% travel expectations) At this seniority level, we expect high standards of craft and visual precision, ownership over defined workstreams with minimal supervision, structured thinking in ambiguous environments, and accountability for quality and delivery timelines. This role demands curiosity, coachability, and rapid growth. Preferred Qualifications: Experience designing enterprise, B2B, or complex transactional systems Exposure to evolving or contributing to design systems at scale (components, tokens, patterns, documentation) Familiarity with experimentation frameworks, product metrics, and data-informed iteration Proficiency using AI-enabled design workflows or AI-native product experiences Experience in operating in client-facing, high-expectation, or consulting-style environments Comfort operating in client-facing, high-expectation, or consulting-style environments Who You'll Work With How You'll Grow This role is designed as a fast-track development path toward Senior Experience Designer at BCG X. You will progressively build capability in: Framing ambiguous, high-impact problem spaces Structuring and leading defined design workstreams Managing stakeholder alignment in complex organizational environments Connecting experience decisions to measurable product and business outcomes Elevating craft standards and contributing to design culture within BCG X You will receive ongoing coaching, structured feedback, and mentorship from senior designers and design leads, with increasing ownership over time. This is a demanding role suited for designers who thrive in rigorous environments and are motivated by impact-not just output. Additional info What to Expect A hands-on role with high standards for craft, clarity, and rigor Ownership of meaningful workstreams within enterprise-scale products Early exposure to senior stakeholders and complex decision-making environments Work on high-impact digital products used by customers, employees, and organizations globally A fast-paced, multidisciplinary environment blending consulting discipline with product excellence Close collaboration across strategy consulting, product, engineering, data, and AI teams Direct exposure to clients and client teams Why Join BCG X At BCG X, design is foundational-not ornamental. We believe strong product thinking and exceptional craft drive adoption, unlock business value, and enable transformation at scale. You will work on consequential problems alongside exceptional cross-disciplinary teams, developing both product depth and strategic perspective at an accelerated pace. . click apply for full job details
Data Science & Analysis - AI Training - UK Remote About Prolific Prolific is building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for Data Scientists and Data Analysts to join our Expert Network to help train and evaluate cutting edge AI models using real technical expertise. If you have the necessary experience, we'll send you a quick 10 to 15 minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay up to $80 per hour. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll bring Education: a BS, MS, or PhD in Data Science, Statistics, Mathematics, or a closely related quantitative field. Professional Experience: real world experience in data analysis, predictive modeling, or machine learning engineering. Technical Rigor: the ability to solve complex statistical problems and interpret high level data visualizations independently. Analytical Mindset: strong attention to detail with the ability to identify subtle logical fallacies in statistical reasoning or data interpretations. LLM Fluency: significant experience using LLMs to assist with data workflows, with a clear understanding of where these models typically hallucinate or fail. Communication: the ability to explain complex mathematical concepts or data insights clearly and concisely. A PayPal account to receive payment from our clients. What you'll be doing in the role Evaluate LLM Responses: review AI generated data insights and statistical analysis for accuracy, clarity, and completeness. Fact Check Technical Claims: use authoritative references to validate mathematical proofs, statistical formulas, and data driven conclusions. Validate Code & Outputs: execute data related scripts (e.g., Python/R) to ensure they produce correct results and handle edge cases properly. Annotate Model Performance: identify strengths and weaknesses in how a model reasons through data problems or builds predictive models. Ensure Alignment: verify that model responses follow specific system guidelines and maintain a high standard of professional technical behavior. Key Technologies Programming: proficiency in Python (Pandas, NumPy, Scikit learn) or R. Data Querying: advanced SQL for complex data extraction and manipulation. Visualization: experience with tools like Tableau, PowerBI, or Matplotlib/Seaborn. Modeling: deep understanding of Machine Learning frameworks (PyTorch, TensorFlow) and statistical modeling techniques. Benefits Competitive pay rates of up to $80 per hour, flexible hours, and the ability to work from home.
06/06/2026
Full time
Data Science & Analysis - AI Training - UK Remote About Prolific Prolific is building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for Data Scientists and Data Analysts to join our Expert Network to help train and evaluate cutting edge AI models using real technical expertise. If you have the necessary experience, we'll send you a quick 10 to 15 minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay up to $80 per hour. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll bring Education: a BS, MS, or PhD in Data Science, Statistics, Mathematics, or a closely related quantitative field. Professional Experience: real world experience in data analysis, predictive modeling, or machine learning engineering. Technical Rigor: the ability to solve complex statistical problems and interpret high level data visualizations independently. Analytical Mindset: strong attention to detail with the ability to identify subtle logical fallacies in statistical reasoning or data interpretations. LLM Fluency: significant experience using LLMs to assist with data workflows, with a clear understanding of where these models typically hallucinate or fail. Communication: the ability to explain complex mathematical concepts or data insights clearly and concisely. A PayPal account to receive payment from our clients. What you'll be doing in the role Evaluate LLM Responses: review AI generated data insights and statistical analysis for accuracy, clarity, and completeness. Fact Check Technical Claims: use authoritative references to validate mathematical proofs, statistical formulas, and data driven conclusions. Validate Code & Outputs: execute data related scripts (e.g., Python/R) to ensure they produce correct results and handle edge cases properly. Annotate Model Performance: identify strengths and weaknesses in how a model reasons through data problems or builds predictive models. Ensure Alignment: verify that model responses follow specific system guidelines and maintain a high standard of professional technical behavior. Key Technologies Programming: proficiency in Python (Pandas, NumPy, Scikit learn) or R. Data Querying: advanced SQL for complex data extraction and manipulation. Visualization: experience with tools like Tableau, PowerBI, or Matplotlib/Seaborn. Modeling: deep understanding of Machine Learning frameworks (PyTorch, TensorFlow) and statistical modeling techniques. Benefits Competitive pay rates of up to $80 per hour, flexible hours, and the ability to work from home.
Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About the Team Roku is the No. 1 TV streaming platform in the U.S., Canada, and Mexico with 70+ million active accounts. Roku pioneered streaming to the TV and continues to innovate and lead the industry. We believe Roku's continued success relies on its investment in our machine learning recommendation engine. Roku enables our users to access millions of content titles including movies, episodes, news, sports, music, and channels from all around the world. About the Role We're on a mission to build cutting edge advertising technology that empowers businesses to run sustainable and highly profitable campaigns. The Ad Performance team owns server technologies, data, and cloud services aimed at improving the ad experience. We're looking for experienced engineers with a background in machine learning to aid in this mission. Examples of problems include improving ad relevance, inferring demographics, yield optimization, and many more. Employees in this role are expected to apply knowledge of experimental methodologies, statistics, optimization, probability theory, and machine learning using both general purpose software and statistical languages. What You'll Be Doing ML infrastructure: Help build a first class machine learning platform from the ground up which manages the entire model lifecycle - feature engineering, model training, versioning, deployment, online serving/evaluation, and monitoring prediction quality. Data analysis and feature engineering: Apply your expertise to identify and generate features that can be leveraged by multiple use cases and models. Model training with batch and real time prediction scenarios: Use machine learning and statistical modeling techniques such as Decision Trees, Logistic Regression, Neural Networks, Bayesian Analysis and others to develop and evaluate algorithms for improving product/system performance, quality, and accuracy. Production operations: Low level systems debugging, performance measurement, and optimization on large production clusters. Collaboration with cross functional teams: Partner with product managers, data scientists, and other engineers to deliver impactful solutions. Staying ahead of the curve: Continuously learn and adapt to emerging technologies and industry trends. We're Excited If You Have Bachelors, Masters, or PhD in Computer Science, Statistics, or a related field. Demonstrated production experience in applied machine learning, with PhD level research and implementation experience considered a strong accelerator. Great coding skills and strong software development experience (we use Spark, Python, Java). Familiarity with real time evaluation of models with low latency constraints. Familiarity with distributed ML frameworks such as Spark MLlib, TensorFlow, etc. Ability to work with large scale computing frameworks, data analysis systems, and modeling environments. Examples include Spark, Hive, NoSQL stores such as Aerospike and ScyllaDB. Ad tech background is a plus. Our Hybrid Work Approach Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy. Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to . Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to . The Roku Culture Roku is a great place for people who want to work in a fast paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to .
06/06/2026
Full time
Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About the Team Roku is the No. 1 TV streaming platform in the U.S., Canada, and Mexico with 70+ million active accounts. Roku pioneered streaming to the TV and continues to innovate and lead the industry. We believe Roku's continued success relies on its investment in our machine learning recommendation engine. Roku enables our users to access millions of content titles including movies, episodes, news, sports, music, and channels from all around the world. About the Role We're on a mission to build cutting edge advertising technology that empowers businesses to run sustainable and highly profitable campaigns. The Ad Performance team owns server technologies, data, and cloud services aimed at improving the ad experience. We're looking for experienced engineers with a background in machine learning to aid in this mission. Examples of problems include improving ad relevance, inferring demographics, yield optimization, and many more. Employees in this role are expected to apply knowledge of experimental methodologies, statistics, optimization, probability theory, and machine learning using both general purpose software and statistical languages. What You'll Be Doing ML infrastructure: Help build a first class machine learning platform from the ground up which manages the entire model lifecycle - feature engineering, model training, versioning, deployment, online serving/evaluation, and monitoring prediction quality. Data analysis and feature engineering: Apply your expertise to identify and generate features that can be leveraged by multiple use cases and models. Model training with batch and real time prediction scenarios: Use machine learning and statistical modeling techniques such as Decision Trees, Logistic Regression, Neural Networks, Bayesian Analysis and others to develop and evaluate algorithms for improving product/system performance, quality, and accuracy. Production operations: Low level systems debugging, performance measurement, and optimization on large production clusters. Collaboration with cross functional teams: Partner with product managers, data scientists, and other engineers to deliver impactful solutions. Staying ahead of the curve: Continuously learn and adapt to emerging technologies and industry trends. We're Excited If You Have Bachelors, Masters, or PhD in Computer Science, Statistics, or a related field. Demonstrated production experience in applied machine learning, with PhD level research and implementation experience considered a strong accelerator. Great coding skills and strong software development experience (we use Spark, Python, Java). Familiarity with real time evaluation of models with low latency constraints. Familiarity with distributed ML frameworks such as Spark MLlib, TensorFlow, etc. Ability to work with large scale computing frameworks, data analysis systems, and modeling environments. Examples include Spark, Hive, NoSQL stores such as Aerospike and ScyllaDB. Ad tech background is a plus. Our Hybrid Work Approach Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy. Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to . Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to . The Roku Culture Roku is a great place for people who want to work in a fast paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to .
Software Development Engineer, Video Quality Analysis (VQA) GBR, London, United Kingdom Posted on 11/25/2024 Are you an experienced Software Development Engineer eager to shape the future of video quality and streaming technology? Join a fast-growing, UK-based technology company and become a key player in developing innovative solutions to enhance video streaming experiences. In this role, you'll build algorithms that detect and correct video defects using cutting-edge machine learning and computer vision techniques, ensuring high-quality video is delivered to millions of users across the globe. You'll be part of a dynamic team that is driving the next generation of video quality analysis. What you will do: As a Software Development Engineer specializing in Video Quality Analysis, you will create and optimize systems that use deep learning and computer vision to detect and improve video quality. You'll work on developing scalable, real-time solutions that automatically identify defects in video streams, ensuring the best viewing experience for users worldwide. Your work will have a direct impact on enhancing video quality and stream reliability across multiple platforms, from content creation to end-user devices. Key Responsibilities: Innovative Solutions & Code Excellence: Collaborate with cross-functional teams to design, implement, and optimize algorithms for real-time video quality analysis and defect detection, using programming languages such as Java, C++, or C#. Deep Learning & Computer Vision: Develop and refine deep learning models and computer vision techniques to assess and improve video content quality, ensuring they scale efficiently in large distributed systems. Architecture & Design: Take a lead role in the architecture and design of video quality analysis systems. This includes defining system architecture, designing scalable solutions, and ensuring the software is fault-tolerant, highly available, and performance-driven. Optimization for Scale: Focus on enhancing algorithm accuracy, speed, and efficiency to handle high volumes of video data with minimal latency and operational cost. Technical Leadership: Drive the architectural decisions that guide system performance, ensuring alignment with overall technical strategy. Contribute to design reviews and mentor junior engineers on architecture best practices. Collaboration: Work closely with engineers, scientists, and other teams to create and deploy solutions that enhance video quality, ensuring a seamless experience across diverse user devices and platforms. Continuous Innovation: Stay up-to-date with advancements in machine learning, computer vision, and video quality technologies, integrating cutting edge techniques into the system architecture to push the boundaries of performance and reliability. Requirements Experience: 3+ years of professional software development experience, showcasing a strong ability to write efficient and maintainable code in modern programming languages such as Java, C++, or C#. Education: A Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience). Experience with full software development life cycle, including tasks such as coding standards, code reviews, source control management, build processes, testing, and operations. Familiarity with data structures, algorithms, and distributed systems to troubleshoot, optimize, and scale systems effectively. Exposure to machine learning frameworks, computer vision, or similar cutting edge technologies is a plus. Passion for Innovation: A deep interest in shaping the future of digital entertainment and building solutions that impact millions of users. Commitment to creating highly scalable and efficient software systems that push the boundaries of technology. Ownership: Drive projects to completion, taking responsibility for the entire development cycle from ideation through deployment. Transparency and Trust: Build and maintain trust within the team through openness, reliability, and support for an agile, transparent culture. Competitive Salary: Enjoy a competitive salary package that reflects your expertise and experience. Global Reach: Be part of an international company with operations across over 200 countries, offering opportunities to work with diverse teams and expand your professional network. Innovation Driven Culture: Work in a fast paced, growth oriented environment that values transparency, idea sharing, and a fail fast approach to innovation. Professional Growth: Develop cross functional skills by collaborating with departments like finance, legal, and content acquisition. Diversity and Inclusion: Join a team dedicated to gender diversity and inclusion, fostering a supportive environment for all team members. Learning Opportunities: Access resources and support to continuously expand your technical skills and industry knowledge.
06/06/2026
Full time
Software Development Engineer, Video Quality Analysis (VQA) GBR, London, United Kingdom Posted on 11/25/2024 Are you an experienced Software Development Engineer eager to shape the future of video quality and streaming technology? Join a fast-growing, UK-based technology company and become a key player in developing innovative solutions to enhance video streaming experiences. In this role, you'll build algorithms that detect and correct video defects using cutting-edge machine learning and computer vision techniques, ensuring high-quality video is delivered to millions of users across the globe. You'll be part of a dynamic team that is driving the next generation of video quality analysis. What you will do: As a Software Development Engineer specializing in Video Quality Analysis, you will create and optimize systems that use deep learning and computer vision to detect and improve video quality. You'll work on developing scalable, real-time solutions that automatically identify defects in video streams, ensuring the best viewing experience for users worldwide. Your work will have a direct impact on enhancing video quality and stream reliability across multiple platforms, from content creation to end-user devices. Key Responsibilities: Innovative Solutions & Code Excellence: Collaborate with cross-functional teams to design, implement, and optimize algorithms for real-time video quality analysis and defect detection, using programming languages such as Java, C++, or C#. Deep Learning & Computer Vision: Develop and refine deep learning models and computer vision techniques to assess and improve video content quality, ensuring they scale efficiently in large distributed systems. Architecture & Design: Take a lead role in the architecture and design of video quality analysis systems. This includes defining system architecture, designing scalable solutions, and ensuring the software is fault-tolerant, highly available, and performance-driven. Optimization for Scale: Focus on enhancing algorithm accuracy, speed, and efficiency to handle high volumes of video data with minimal latency and operational cost. Technical Leadership: Drive the architectural decisions that guide system performance, ensuring alignment with overall technical strategy. Contribute to design reviews and mentor junior engineers on architecture best practices. Collaboration: Work closely with engineers, scientists, and other teams to create and deploy solutions that enhance video quality, ensuring a seamless experience across diverse user devices and platforms. Continuous Innovation: Stay up-to-date with advancements in machine learning, computer vision, and video quality technologies, integrating cutting edge techniques into the system architecture to push the boundaries of performance and reliability. Requirements Experience: 3+ years of professional software development experience, showcasing a strong ability to write efficient and maintainable code in modern programming languages such as Java, C++, or C#. Education: A Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience). Experience with full software development life cycle, including tasks such as coding standards, code reviews, source control management, build processes, testing, and operations. Familiarity with data structures, algorithms, and distributed systems to troubleshoot, optimize, and scale systems effectively. Exposure to machine learning frameworks, computer vision, or similar cutting edge technologies is a plus. Passion for Innovation: A deep interest in shaping the future of digital entertainment and building solutions that impact millions of users. Commitment to creating highly scalable and efficient software systems that push the boundaries of technology. Ownership: Drive projects to completion, taking responsibility for the entire development cycle from ideation through deployment. Transparency and Trust: Build and maintain trust within the team through openness, reliability, and support for an agile, transparent culture. Competitive Salary: Enjoy a competitive salary package that reflects your expertise and experience. Global Reach: Be part of an international company with operations across over 200 countries, offering opportunities to work with diverse teams and expand your professional network. Innovation Driven Culture: Work in a fast paced, growth oriented environment that values transparency, idea sharing, and a fail fast approach to innovation. Professional Growth: Develop cross functional skills by collaborating with departments like finance, legal, and content acquisition. Diversity and Inclusion: Join a team dedicated to gender diversity and inclusion, fostering a supportive environment for all team members. Learning Opportunities: Access resources and support to continuously expand your technical skills and industry knowledge.
About the role We're on a mission to build cutting edge advertising technology that empowers businesses to run sustainable and highly profitable campaigns. The Ad Performance team owns server technologies, data, and cloud services aimed at improving the ad experience. We're looking for seasoned engineers with a background in machine learning to aid in this mission. Examples of problems include improving ad relevance, inferring demographics, yield optimisation, and many more. Employees in this role are expected to apply knowledge of experimental methodologies, statistics, optimisation, probability theory, and machine learning using both general purpose software and statistical languages. What you'll be doing Help build a first class machine learning platform from the ground up, managing the entire model lifecycle-feature engineering, model training, versioning, deployment, online serving/evaluation, and monitoring prediction quality. Apply your expertise to identify and generate features for multiple use cases and models. Build and evaluate algorithms for improving product/system performance, quality, and accuracy using techniques such as Decision Trees, Logistic Regression, Neural Networks, Bayesian Analysis, and others. Perform low level systems debugging, performance measurement, and optimisation on large production clusters. Collaborate with product managers, data scientists, and other engineers to deliver impactful solutions. Continuously learn and adapt to emerging technologies and industry trends. We're excited if you have Bachelors, Masters, or PhD in Computer Science, Statistics, or a related field. Demonstrated depth in applied machine learning on production systems-typically 6+ years in industry, although we value PhD experience as meaningful acceleration. Great coding skills and strong software development experience (Spark, Python, Java). Familiarity with real time evaluation of models with low latency constraints. Familiarity with distributed ML frameworks such as Spark-MLlib, TensorFlow, etc. Ability to work with large scale computing frameworks, data analysis systems, and modelling environments. Examples include Spark, Hive, NoSQL stores such as Aerospike and ScyllaDB. Ad tech background is a plus. Hybrid Work Approach Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy. Benefits Roku offers a comprehensive benefits package that includes statutory and voluntary benefits such as medical, dental, vision, life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are also supported in taking time off in accordance with local leave policies and other personal needs to support evolving work and life needs. Specific benefits may vary by location and role. Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to .
06/06/2026
Full time
About the role We're on a mission to build cutting edge advertising technology that empowers businesses to run sustainable and highly profitable campaigns. The Ad Performance team owns server technologies, data, and cloud services aimed at improving the ad experience. We're looking for seasoned engineers with a background in machine learning to aid in this mission. Examples of problems include improving ad relevance, inferring demographics, yield optimisation, and many more. Employees in this role are expected to apply knowledge of experimental methodologies, statistics, optimisation, probability theory, and machine learning using both general purpose software and statistical languages. What you'll be doing Help build a first class machine learning platform from the ground up, managing the entire model lifecycle-feature engineering, model training, versioning, deployment, online serving/evaluation, and monitoring prediction quality. Apply your expertise to identify and generate features for multiple use cases and models. Build and evaluate algorithms for improving product/system performance, quality, and accuracy using techniques such as Decision Trees, Logistic Regression, Neural Networks, Bayesian Analysis, and others. Perform low level systems debugging, performance measurement, and optimisation on large production clusters. Collaborate with product managers, data scientists, and other engineers to deliver impactful solutions. Continuously learn and adapt to emerging technologies and industry trends. We're excited if you have Bachelors, Masters, or PhD in Computer Science, Statistics, or a related field. Demonstrated depth in applied machine learning on production systems-typically 6+ years in industry, although we value PhD experience as meaningful acceleration. Great coding skills and strong software development experience (Spark, Python, Java). Familiarity with real time evaluation of models with low latency constraints. Familiarity with distributed ML frameworks such as Spark-MLlib, TensorFlow, etc. Ability to work with large scale computing frameworks, data analysis systems, and modelling environments. Examples include Spark, Hive, NoSQL stores such as Aerospike and ScyllaDB. Ad tech background is a plus. Hybrid Work Approach Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy. Benefits Roku offers a comprehensive benefits package that includes statutory and voluntary benefits such as medical, dental, vision, life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are also supported in taking time off in accordance with local leave policies and other personal needs to support evolving work and life needs. Specific benefits may vary by location and role. Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to .
Relay is fundamentally reshaping how goods move in an online era. Key facts about Relay: Europe's largest-ever logistics Series A ($35M), led by deep tech investors Plural, and a team that's scaling faster than 99.98% of venture backed startups. Relay's Mission Free commerce from friction. High delivery costs act as a hidden tax on e commerce, limiting what can be sold online and who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. THE TEAM 110 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation The Opportunity Relay's Last Mile network runs on couriers-tens of thousands of them, doing real work in the physical world every day. Whether each parcel gets delivered successfully depends on the decisions and behaviours of the courier on route. We're hiring a Senior Data Analyst to own how Relay measures and improves courier excellence: how we shape what happens on the doorstep, and how we manage performance before and after that interaction. This role works with the whole of the Last Mile team and partners closely with data scientists, engineers and operators across the squad. There is a v1 of performance management already running; you'll own its evolution into something materially better. Last Mile Handover Optimisation Every handover is a trade off between speed, quality and risk. Moving any one of them can have knock on effects on the others, and finding the right balance is one of the most interesting analytical problems in the network. Your job is to make those trade offs visible, model them, and find the levers that move the network in the right direction. You'll run the experiments, design the measurement, and quantify what actually works. Performance Management Relay already has a framework for measuring courier performance, and it feeds into how work is distributed. The job now is to ensure it drives fleet quality-defining the right behaviours to measure, evaluating the interventions designed to help couriers shift those behaviours, and closing the loop so the framework continuously improves. You'll partner with product, ops and engineering across this work, with the analytics owned by you. Courier Facing Analytics Couriers are the end users of much of this work. You'll think about how performance and rewards are made transparent to them, and you'll run experiments to evaluate whether interventions are actually working for couriers and for Relay. Who Will Thrive in This Role You're a strong analyst who thinks in systems. You break complex problems into components and know where the real opportunity lies. You are successful working with high autonomy and are excited to operate in a Product/Programme Manager like capacity, defining the roadmap as well as executing against it. You care about solving the problem more than which techniques you use. You love working with smart, motivated people. You're fluent in SQL. You're comfortable across the analytical spectrum-designing and reading experiments, building risk scores and segmentation, and shipping descriptive analysis that drives a decision the same week. You communicate inclusively with non technical team members. You love seeing the impact of your work play out in a daily operation. Bonus: You have experience working on performance management, marketplace quality, operational analytics or another relevant domain. Compensation, Benefits & Workplace Generous equity, richer than 99% of European startups, with annual top ups to share Relay's success. Private health & dental coverage, so comprehensive you'd need to be a partner at a Magic Circle law firm to match it. 25 days of holidays. Enhanced parental leave. Located in Shoreditch, our office set up enables the kind of in person interactions that drive impact. We work 4 days on site, with 1 day remote. Hardware of your choice. Extensive perks (gym subsidies, cycle to work, Friday office lunch, covered Uber home and dinner for late nights, and more). Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers and our customers, because when they thrive, so do we. Relay is an equal opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
06/06/2026
Full time
Relay is fundamentally reshaping how goods move in an online era. Key facts about Relay: Europe's largest-ever logistics Series A ($35M), led by deep tech investors Plural, and a team that's scaling faster than 99.98% of venture backed startups. Relay's Mission Free commerce from friction. High delivery costs act as a hidden tax on e commerce, limiting what can be sold online and who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. THE TEAM 110 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation The Opportunity Relay's Last Mile network runs on couriers-tens of thousands of them, doing real work in the physical world every day. Whether each parcel gets delivered successfully depends on the decisions and behaviours of the courier on route. We're hiring a Senior Data Analyst to own how Relay measures and improves courier excellence: how we shape what happens on the doorstep, and how we manage performance before and after that interaction. This role works with the whole of the Last Mile team and partners closely with data scientists, engineers and operators across the squad. There is a v1 of performance management already running; you'll own its evolution into something materially better. Last Mile Handover Optimisation Every handover is a trade off between speed, quality and risk. Moving any one of them can have knock on effects on the others, and finding the right balance is one of the most interesting analytical problems in the network. Your job is to make those trade offs visible, model them, and find the levers that move the network in the right direction. You'll run the experiments, design the measurement, and quantify what actually works. Performance Management Relay already has a framework for measuring courier performance, and it feeds into how work is distributed. The job now is to ensure it drives fleet quality-defining the right behaviours to measure, evaluating the interventions designed to help couriers shift those behaviours, and closing the loop so the framework continuously improves. You'll partner with product, ops and engineering across this work, with the analytics owned by you. Courier Facing Analytics Couriers are the end users of much of this work. You'll think about how performance and rewards are made transparent to them, and you'll run experiments to evaluate whether interventions are actually working for couriers and for Relay. Who Will Thrive in This Role You're a strong analyst who thinks in systems. You break complex problems into components and know where the real opportunity lies. You are successful working with high autonomy and are excited to operate in a Product/Programme Manager like capacity, defining the roadmap as well as executing against it. You care about solving the problem more than which techniques you use. You love working with smart, motivated people. You're fluent in SQL. You're comfortable across the analytical spectrum-designing and reading experiments, building risk scores and segmentation, and shipping descriptive analysis that drives a decision the same week. You communicate inclusively with non technical team members. You love seeing the impact of your work play out in a daily operation. Bonus: You have experience working on performance management, marketplace quality, operational analytics or another relevant domain. Compensation, Benefits & Workplace Generous equity, richer than 99% of European startups, with annual top ups to share Relay's success. Private health & dental coverage, so comprehensive you'd need to be a partner at a Magic Circle law firm to match it. 25 days of holidays. Enhanced parental leave. Located in Shoreditch, our office set up enables the kind of in person interactions that drive impact. We work 4 days on site, with 1 day remote. Hardware of your choice. Extensive perks (gym subsidies, cycle to work, Friday office lunch, covered Uber home and dinner for late nights, and more). Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers and our customers, because when they thrive, so do we. Relay is an equal opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. THE TEAM 110 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation Work Alongside Industry Leaders Karthik Harith - VP Operations Karthik is an operator and GM with a track record scaling multi-channel retail and operations across the UK, Germany, and France. Prior to Relay, he operated at VP/General Manager across multiple markets and brands (Getir, Gorillas, and Frichti). He holds a BS in Electrical Engineering (Brown) and an MBA in Finance (HEC Paris). At Relay, Karthik leads Operations, bringing rigorous execution and scaling experience to solve hard, real world logistics problems end to end. Relay's Mission Relay exists to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. The Opportunity Relay's network runs on forecasts. Every day, models predict how many parcels will arrive, which ones to sort tonight, how many shifts to release, and how many bags each route needs. The Network squad owns those forecasts and the operational processes that turn them into action. When teams plan to the right number, the network runs efficiently. When they over plan, capacity goes to waste; when they under plan, cost surges and operational performance suffers. At a high level, the outcome you will drive is excellent day to day forecast guidance-ensuring teams across the network plan to the right number every day. This is one of the most powerful cost levers in the business. As Senior Operations Associate, you will own the day to day operational processes that drive this outcome. You will be the squad's operational backbone: the person who keeps the network on track, steps in when things break, and coordinates the right teams when the operation is under stress. This is fundamentally an operational role-high-context, high ownership, and central to how the network runs every day. Alongside the day to day execution, you will have the opportunity to keep critical projects moving forward across the squad. As a Senior Operations Associate, Network at Relay at Relay, you'll: Own the quality of day to day forecast guidance. Co build and operate the systems that decide how much volume flows through our network every day, ensuring teams plan to the right number-neither over nor under planning. Continually improve these systems, partner with other Operations teams to resolve issues, and maintain a clear specification for Data and Engineering to automate further as resources become available. Plan the business through scheduled operational moments. When demand is going to deviate from the norm-busy shopping periods, holidays, planned promotions-you will develop the operational plan and make sure all relevant teams are prepared, aligned, and acting on the same source of truth. Lead the response to unplanned incidents. When something disrupts the network-adverse weather, supply side shocks, or unexpected client behaviour-you will step in to own the recovery and run the retro process to ensure follow ups are actioned. Work shoulder to shoulder with the data team. When forecasts look off or operations flag a problem, you will dig into the numbers, interrogate the models, and help the Data Scientists and Analysts pinpoint where the models are creating real world friction. You will not be building the models- but you will be a trusted partner in pressure testing them. Help keep the squad's programme of work on track-beginning with coordination and follow up, and growing into a role that guides what the squad prioritises as you build context and credibility. Who Will Thrive in this role? Resilience and high ownership. You enjoy being at the centre of how the network runs each day. The work spans daily execution and complex, ambiguous problem solving, and you take real pride in owning the outcome of both- including stepping in when other teams or processes need support. Project literacy. You have run projects or worked closely with Programme Managers in prior roles. You're comfortable absorbing the administrative scaffolding of a programme without requiring a senior PM to direct you. A bias for action. You would rather get something working today than design the perfect solution for next quarter. You know when to elevate and when to just fix it. Strong written communication. At Relay, a well structured doc or one pager is often how you get things done- it's how you align people, define problems, and create momentum without a meeting. 3-5 years of experience in operations, programme management, consulting, or a similar function-ideally somewhere fast moving where the playbook was being written in real time. Data literacy. Comfortable with SQL and able to query data independently to investigate operational issues. You can articulate the data and insight you need with sufficient clarity that an AI agent or analyst can act on it. You don't need to be building dashboards yourself - but you should be capable of pulling your own numbers when you need to. The qualifications and experiences above act as a loose guide to what we're looking for. We'd still love to hear from you if you have more or less experience, so long as the core skills can be demonstrated. Fast and Focused Hiring Process Talent Acquisition Interview - 30 min Hiring Manager Interview - 45 min Case Exercise - 90 min Final Interview w/ VP Operations - 30 min Decision and offer within 48 hours, our process mirrors our pace of work, typically completed in a week. Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
06/06/2026
Full time
Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. THE TEAM 110 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation Work Alongside Industry Leaders Karthik Harith - VP Operations Karthik is an operator and GM with a track record scaling multi-channel retail and operations across the UK, Germany, and France. Prior to Relay, he operated at VP/General Manager across multiple markets and brands (Getir, Gorillas, and Frichti). He holds a BS in Electrical Engineering (Brown) and an MBA in Finance (HEC Paris). At Relay, Karthik leads Operations, bringing rigorous execution and scaling experience to solve hard, real world logistics problems end to end. Relay's Mission Relay exists to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. The Opportunity Relay's network runs on forecasts. Every day, models predict how many parcels will arrive, which ones to sort tonight, how many shifts to release, and how many bags each route needs. The Network squad owns those forecasts and the operational processes that turn them into action. When teams plan to the right number, the network runs efficiently. When they over plan, capacity goes to waste; when they under plan, cost surges and operational performance suffers. At a high level, the outcome you will drive is excellent day to day forecast guidance-ensuring teams across the network plan to the right number every day. This is one of the most powerful cost levers in the business. As Senior Operations Associate, you will own the day to day operational processes that drive this outcome. You will be the squad's operational backbone: the person who keeps the network on track, steps in when things break, and coordinates the right teams when the operation is under stress. This is fundamentally an operational role-high-context, high ownership, and central to how the network runs every day. Alongside the day to day execution, you will have the opportunity to keep critical projects moving forward across the squad. As a Senior Operations Associate, Network at Relay at Relay, you'll: Own the quality of day to day forecast guidance. Co build and operate the systems that decide how much volume flows through our network every day, ensuring teams plan to the right number-neither over nor under planning. Continually improve these systems, partner with other Operations teams to resolve issues, and maintain a clear specification for Data and Engineering to automate further as resources become available. Plan the business through scheduled operational moments. When demand is going to deviate from the norm-busy shopping periods, holidays, planned promotions-you will develop the operational plan and make sure all relevant teams are prepared, aligned, and acting on the same source of truth. Lead the response to unplanned incidents. When something disrupts the network-adverse weather, supply side shocks, or unexpected client behaviour-you will step in to own the recovery and run the retro process to ensure follow ups are actioned. Work shoulder to shoulder with the data team. When forecasts look off or operations flag a problem, you will dig into the numbers, interrogate the models, and help the Data Scientists and Analysts pinpoint where the models are creating real world friction. You will not be building the models- but you will be a trusted partner in pressure testing them. Help keep the squad's programme of work on track-beginning with coordination and follow up, and growing into a role that guides what the squad prioritises as you build context and credibility. Who Will Thrive in this role? Resilience and high ownership. You enjoy being at the centre of how the network runs each day. The work spans daily execution and complex, ambiguous problem solving, and you take real pride in owning the outcome of both- including stepping in when other teams or processes need support. Project literacy. You have run projects or worked closely with Programme Managers in prior roles. You're comfortable absorbing the administrative scaffolding of a programme without requiring a senior PM to direct you. A bias for action. You would rather get something working today than design the perfect solution for next quarter. You know when to elevate and when to just fix it. Strong written communication. At Relay, a well structured doc or one pager is often how you get things done- it's how you align people, define problems, and create momentum without a meeting. 3-5 years of experience in operations, programme management, consulting, or a similar function-ideally somewhere fast moving where the playbook was being written in real time. Data literacy. Comfortable with SQL and able to query data independently to investigate operational issues. You can articulate the data and insight you need with sufficient clarity that an AI agent or analyst can act on it. You don't need to be building dashboards yourself - but you should be capable of pulling your own numbers when you need to. The qualifications and experiences above act as a loose guide to what we're looking for. We'd still love to hear from you if you have more or less experience, so long as the core skills can be demonstrated. Fast and Focused Hiring Process Talent Acquisition Interview - 30 min Hiring Manager Interview - 45 min Case Exercise - 90 min Final Interview w/ VP Operations - 30 min Decision and offer within 48 hours, our process mirrors our pace of work, typically completed in a week. Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
Relay is fundamentally reshaping how goods move in an online era. Key facts about Relay: Europe's largest-ever logistics Series A ($35M), led by deep tech investors Plural, and a team that's scaling faster than 99.98% of venture backed startups. Relay's Mission Free commerce from friction. High delivery costs act as a hidden tax on e commerce, limiting what can be sold online and who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. THE TEAM 110 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation The Opportunity Relay's Last Mile network runs on couriers-tens of thousands of them, doing real work in the physical world every day. Whether each parcel gets delivered successfully depends on the decisions and behaviours of the courier on route. We're hiring a Senior Data Analyst to own how Relay measures and improves courier excellence: how we shape what happens on the doorstep, and how we manage performance before and after that interaction. This role works with the whole of the Last Mile team and partners closely with data scientists, engineers and operators across the squad. There is a v1 of performance management already running; you'll own its evolution into something materially better. Last Mile Handover Optimisation Every handover is a trade off between speed, quality and risk. Moving any one of them can have knock on effects on the others, and finding the right balance is one of the most interesting analytical problems in the network. Your job is to make those trade offs visible, model them, and find the levers that move the network in the right direction. You'll run the experiments, design the measurement, and quantify what actually works. Performance Management Relay already has a framework for measuring courier performance, and it feeds into how work is distributed. The job now is to ensure it drives fleet quality-defining the right behaviours to measure, evaluating the interventions designed to help couriers shift those behaviours, and closing the loop so the framework continuously improves. You'll partner with product, ops and engineering across this work, with the analytics owned by you. Courier Facing Analytics Couriers are the end users of much of this work. You'll think about how performance and rewards are made transparent to them, and you'll run experiments to evaluate whether interventions are actually working for couriers and for Relay. Who Will Thrive in This Role You're a strong analyst who thinks in systems. You break complex problems into components and know where the real opportunity lies. You are successful working with high autonomy and are excited to operate in a Product/Programme Manager like capacity, defining the roadmap as well as executing against it. You care about solving the problem more than which techniques you use. You love working with smart, motivated people. You're fluent in SQL. You're comfortable across the analytical spectrum-designing and reading experiments, building risk scores and segmentation, and shipping descriptive analysis that drives a decision the same week. You communicate inclusively with non technical team members. You love seeing the impact of your work play out in a daily operation. Bonus: You have experience working on performance management, marketplace quality, operational analytics or another relevant domain. Compensation, Benefits & Workplace Generous equity, richer than 99% of European startups, with annual top ups to share Relay's success. Private health & dental coverage, so comprehensive you'd need to be a partner at a Magic Circle law firm to match it. 25 days of holidays. Enhanced parental leave. Located in Shoreditch, our office set up enables the kind of in person interactions that drive impact. We work 4 days on site, with 1 day remote. Hardware of your choice. Extensive perks (gym subsidies, cycle to work, Friday office lunch, covered Uber home and dinner for late nights, and more). Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers and our customers, because when they thrive, so do we. Relay is an equal opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
06/06/2026
Full time
Relay is fundamentally reshaping how goods move in an online era. Key facts about Relay: Europe's largest-ever logistics Series A ($35M), led by deep tech investors Plural, and a team that's scaling faster than 99.98% of venture backed startups. Relay's Mission Free commerce from friction. High delivery costs act as a hidden tax on e commerce, limiting what can be sold online and who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. THE TEAM 110 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation The Opportunity Relay's Last Mile network runs on couriers-tens of thousands of them, doing real work in the physical world every day. Whether each parcel gets delivered successfully depends on the decisions and behaviours of the courier on route. We're hiring a Senior Data Analyst to own how Relay measures and improves courier excellence: how we shape what happens on the doorstep, and how we manage performance before and after that interaction. This role works with the whole of the Last Mile team and partners closely with data scientists, engineers and operators across the squad. There is a v1 of performance management already running; you'll own its evolution into something materially better. Last Mile Handover Optimisation Every handover is a trade off between speed, quality and risk. Moving any one of them can have knock on effects on the others, and finding the right balance is one of the most interesting analytical problems in the network. Your job is to make those trade offs visible, model them, and find the levers that move the network in the right direction. You'll run the experiments, design the measurement, and quantify what actually works. Performance Management Relay already has a framework for measuring courier performance, and it feeds into how work is distributed. The job now is to ensure it drives fleet quality-defining the right behaviours to measure, evaluating the interventions designed to help couriers shift those behaviours, and closing the loop so the framework continuously improves. You'll partner with product, ops and engineering across this work, with the analytics owned by you. Courier Facing Analytics Couriers are the end users of much of this work. You'll think about how performance and rewards are made transparent to them, and you'll run experiments to evaluate whether interventions are actually working for couriers and for Relay. Who Will Thrive in This Role You're a strong analyst who thinks in systems. You break complex problems into components and know where the real opportunity lies. You are successful working with high autonomy and are excited to operate in a Product/Programme Manager like capacity, defining the roadmap as well as executing against it. You care about solving the problem more than which techniques you use. You love working with smart, motivated people. You're fluent in SQL. You're comfortable across the analytical spectrum-designing and reading experiments, building risk scores and segmentation, and shipping descriptive analysis that drives a decision the same week. You communicate inclusively with non technical team members. You love seeing the impact of your work play out in a daily operation. Bonus: You have experience working on performance management, marketplace quality, operational analytics or another relevant domain. Compensation, Benefits & Workplace Generous equity, richer than 99% of European startups, with annual top ups to share Relay's success. Private health & dental coverage, so comprehensive you'd need to be a partner at a Magic Circle law firm to match it. 25 days of holidays. Enhanced parental leave. Located in Shoreditch, our office set up enables the kind of in person interactions that drive impact. We work 4 days on site, with 1 day remote. Hardware of your choice. Extensive perks (gym subsidies, cycle to work, Friday office lunch, covered Uber home and dinner for late nights, and more). Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers and our customers, because when they thrive, so do we. Relay is an equal opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
Join Tether and Shape the Future of Digital Finance At Tether, we're not just building products, we're pioneering a global financial revolution. Our cutting edge solutions empower businesses-from exchanges and wallets to payment processors and ATMs-to seamlessly integrate reserve backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world's most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that's just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco friendly practices in state of the art, geo diverse facilities. Tether Data: Fueling breakthroughs in AI and peer to peer technology, we reduce infrastructure costs and enhance global communications with cutting edge solutions like KEET, our flagship app that redefines secure and private data sharing. Tether Education: Democratizing access to top tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you're passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We've grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job The goal of a Product Manager is to bridge the gap between technical capabilities and business objectives, focusing on the technical aspects of product development. They work closely with engineering teams to define product roadmaps, prioritize features based on market research and customer needs, and ensure the successful delivery of technical products and services. In doing so, they manage the product vision, identify and mitigate potential risks, and maintain alignment with overall business requirements. About the challenge In this role, you will lead the vision, strategy, and execution of a GPU accelerated cloud services platform designed to empower data scientists, developers, and enterprises to build, train, and deploy AI/ML models at scale - while supporting the growth of the P2P AI ecosystem. We're looking for an experienced Technical Product Manager with a strong bias for action and measurable outcomes - someone who combines deep expertise in AI/ML technologies, cloud infrastructure, and product management with the drive to establish market leadership across strategic verticals. This is a great opportunity for an experienced product leader: strong product led growth mindset who wants to take their career to the next level, and move from contributing to a product area to having full ownership over the building, scaling and success of an entire new product and service lines experience in the field of AI / ML that goes beyond consumer level and into the core of how modern AI systems behave understanding of software and hardware intricacies to the extent that he/she can actively engage with highly technical stakeholders team leader who has had close contact with operations and feels capable to work with people in all facets of a product high agency individual who can actively set internal and external goals, team culture and liaise effectively and directly with executive management and other departments to achieve them Optionally, it would be good to have crossed paths with crypto before, either as a user or professional, and can demonstrate a decent understanding of its mechanics. Responsibilities Product Vision & Strategy: Define and champion the long term vision for a Cloud Services Platform (CSP) across IaaS, PaaS, and SaaS models. Align product direction with company objectives and industry trends to maintain a competitive edge and deliver sustained value. Ownership and Leadership: Own and manage a comprehensive product roadmap, prioritizing features and enhancements that drive impact. Collaborate closely with engineering and cross functional teams to ensure successful delivery of products and services. Build strong relationships with executives, partners, and industry influencers to foster strategic alliances and advocate for the platform's growth. Customer Centric Focus: Engage directly with engineers, data scientists, and researchers to identify niche market opportunities, maximize value delivery, and ensure seamless product experiences that resonate with technical users. Ecosystem Expansion: Partner with other Tether teams to design and scale a centralized, privacy preserving, and resilient infrastructure layer for P2P networks - strengthening the broader P2P ecosystem. Go To Market Strategy: Independently develop and execute launch plans in coordination with marketing and expansion teams. Drive positioning, messaging, and market entry strategies that establish the platform as a key player in select AI/ML CSP niches. Performance Tracking: Define and monitor KPIs for product engagement, customer satisfaction, and platform performance to ensure continuous optimization and alignment with success metrics. B2B Orientation: Collaborate with enterprise customers to distinguish between users and decision makers, ensuring that both receive tailored value propositions and measurable business outcomes. Qualifications 7+ years of product management experience, with at least 3 years as a technical product manager for AI infrastructure products that include: Building or managing AI platform services involving model training, fine tuning, inference optimization and quantization workflows Direct experience with GPU resource management and ML framework infrastructure (beyond API consumption of foundation models) Experience interacting with cloud platform services, such as AWS, Azure or GCP across their multiple offerings Familiarity with AI specific cloud platform services, such as TogetherAI, ScaleAI, Databricks or AWS SageMaker, at least from a consumer standpoint and strong understanding of underlying technologies Demonstrated understanding of ML model architectures, training dynamics, and optimization techniques Past experience in high growth organizations Proven track record of successful product launches Exceptional leadership, communication, prioritization and team building skills Ability to engage and evangelize a product vision to both highly technical and non technical stakeholders alike Degree in engineering, physical sciences or closely related fields Skilled in defining, tracking, and reporting on product KPIs to measure success
06/06/2026
Full time
Join Tether and Shape the Future of Digital Finance At Tether, we're not just building products, we're pioneering a global financial revolution. Our cutting edge solutions empower businesses-from exchanges and wallets to payment processors and ATMs-to seamlessly integrate reserve backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world's most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that's just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco friendly practices in state of the art, geo diverse facilities. Tether Data: Fueling breakthroughs in AI and peer to peer technology, we reduce infrastructure costs and enhance global communications with cutting edge solutions like KEET, our flagship app that redefines secure and private data sharing. Tether Education: Democratizing access to top tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you're passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We've grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job The goal of a Product Manager is to bridge the gap between technical capabilities and business objectives, focusing on the technical aspects of product development. They work closely with engineering teams to define product roadmaps, prioritize features based on market research and customer needs, and ensure the successful delivery of technical products and services. In doing so, they manage the product vision, identify and mitigate potential risks, and maintain alignment with overall business requirements. About the challenge In this role, you will lead the vision, strategy, and execution of a GPU accelerated cloud services platform designed to empower data scientists, developers, and enterprises to build, train, and deploy AI/ML models at scale - while supporting the growth of the P2P AI ecosystem. We're looking for an experienced Technical Product Manager with a strong bias for action and measurable outcomes - someone who combines deep expertise in AI/ML technologies, cloud infrastructure, and product management with the drive to establish market leadership across strategic verticals. This is a great opportunity for an experienced product leader: strong product led growth mindset who wants to take their career to the next level, and move from contributing to a product area to having full ownership over the building, scaling and success of an entire new product and service lines experience in the field of AI / ML that goes beyond consumer level and into the core of how modern AI systems behave understanding of software and hardware intricacies to the extent that he/she can actively engage with highly technical stakeholders team leader who has had close contact with operations and feels capable to work with people in all facets of a product high agency individual who can actively set internal and external goals, team culture and liaise effectively and directly with executive management and other departments to achieve them Optionally, it would be good to have crossed paths with crypto before, either as a user or professional, and can demonstrate a decent understanding of its mechanics. Responsibilities Product Vision & Strategy: Define and champion the long term vision for a Cloud Services Platform (CSP) across IaaS, PaaS, and SaaS models. Align product direction with company objectives and industry trends to maintain a competitive edge and deliver sustained value. Ownership and Leadership: Own and manage a comprehensive product roadmap, prioritizing features and enhancements that drive impact. Collaborate closely with engineering and cross functional teams to ensure successful delivery of products and services. Build strong relationships with executives, partners, and industry influencers to foster strategic alliances and advocate for the platform's growth. Customer Centric Focus: Engage directly with engineers, data scientists, and researchers to identify niche market opportunities, maximize value delivery, and ensure seamless product experiences that resonate with technical users. Ecosystem Expansion: Partner with other Tether teams to design and scale a centralized, privacy preserving, and resilient infrastructure layer for P2P networks - strengthening the broader P2P ecosystem. Go To Market Strategy: Independently develop and execute launch plans in coordination with marketing and expansion teams. Drive positioning, messaging, and market entry strategies that establish the platform as a key player in select AI/ML CSP niches. Performance Tracking: Define and monitor KPIs for product engagement, customer satisfaction, and platform performance to ensure continuous optimization and alignment with success metrics. B2B Orientation: Collaborate with enterprise customers to distinguish between users and decision makers, ensuring that both receive tailored value propositions and measurable business outcomes. Qualifications 7+ years of product management experience, with at least 3 years as a technical product manager for AI infrastructure products that include: Building or managing AI platform services involving model training, fine tuning, inference optimization and quantization workflows Direct experience with GPU resource management and ML framework infrastructure (beyond API consumption of foundation models) Experience interacting with cloud platform services, such as AWS, Azure or GCP across their multiple offerings Familiarity with AI specific cloud platform services, such as TogetherAI, ScaleAI, Databricks or AWS SageMaker, at least from a consumer standpoint and strong understanding of underlying technologies Demonstrated understanding of ML model architectures, training dynamics, and optimization techniques Past experience in high growth organizations Proven track record of successful product launches Exceptional leadership, communication, prioritization and team building skills Ability to engage and evangelize a product vision to both highly technical and non technical stakeholders alike Degree in engineering, physical sciences or closely related fields Skilled in defining, tracking, and reporting on product KPIs to measure success
Project EngineerApplylocations: Afeco - Havanttime type: Full timeposted on: Posted Todayjob requisition id: JR100686As part of the United Infrastructure Group, we are a dynamic and innovative specialist engineering services, solutions and products provider focused on servicing our clients' immediate and future needs. We do this through the development of industry-changing cleantech products as well as through engineering delivery excellence. We specialise in the design and delivery of process, mechanical, electrical and ICA engineering-based projects, products and solutions. Regardless of the project, they all pursue the same goal: to improve the efficiency and sustainability of our water, wastewater and waste treatment. We have a team of highly skilled and experienced professionals with extensive consulting and contracting experience, including engineers, scientists and commercial managers. Our knowledge and expertise spans more than 30 years, across industries including: water, wastewater, marine, energy and power sectors. At AFECO, we cover all stages of the innovation and project delivery cycle from concept through to operations. Our aim is simple - to provide the most effective solutions and products on the market and thus, exceed clients expectations through market-leading technology. From technical through to commercial and management expertise, we have the in-house expertise to execute a range of projects from the most basic to highly complex.Job title Project EngineerLocation Havant, Hampshire - Mobilise to sites across South of England and MidlandsLine Manager Operations ManagerAbout usAFECO is an engineering services provider, delivering high quality process and MEICA design and installation projects predominantly across the South of England and Midlands for the water industry. We have excellent inhouse engineering teams capable of delivering all stages of the project cycle, from concept through to commissioning, with a strong focus on process led innovative and robust yet appropriate solutions.We have a portfolio of varied projects covering both wastewater and clean water projects for planned and reactive projects.Due to the expansion of our team, we are currently recruiting for a Project Engineer to work within our multi-disciplinary teams. This is a great opportunity for enthusiastic individuals who fit in with our company values and are keen to develop in a forward-thinking organisation.Role overviewThe Project Engineer will play a key role in delivering water-sector infrastructure projects from design through to commissioning. Working closely with project managers, designers, contractors, and client representatives, the Project Engineer ensures technical quality, regulatory compliance, and efficient execution across clean water, wastewater, and treatment-related works.Key ResponsibilitiesProject Delivery Support end-to-end project lifecycle, including feasibility, detailed design, procurement, construction, and commissioning. Translate project requirements into technical specifications and engineering solutions. Assist in the development of project plans, schedules, and cost estimates. Coordinate with contractors and suppliers, ensuring timely delivery of materials and services.Technical Engineering Review engineering drawings, P&IDs, and technical documents for accuracy and compliance. Provide engineering input on process, mechanical, electrical, or civil elements (depending on project scope). Conduct site surveys, assessments, and technical investigations. Support development of risk assessments, method statements (RAMS), and design risk registers.Quality, Compliance & Safety Ensure all project activities comply with water industry standards, regulatory requirements (e.g., DWI, EA), and health & safety legislation (e.g., CDM). Conduct quality checks, inspections, and documentation reviews. Support environmental and sustainability objectives associated with water projects.Stakeholder Management Liaise with internal teams, clients, statutory authorities, and subcontractors. Support progress meetings, prepare status reports, and escalate risks and issues. Communicate technical information effectively to both technical and non-technical stakeholders.Commissioning & Handover Support commissioning activities, FAT/SAT processes, and performance testing. Ensure full documentation is delivered, including O&M manuals, as-built drawings, asset data, and training materials. Assist in project close-out and lessons-learned reviews.Essential Skills & Experience Previous experience in the water sector (clean water, wastewater, pumping stations, networks, or treatment works). Strong understanding of water-industry standards, regulations, and common project delivery frameworks. Proficiency in interpreting engineering drawings and specifications. Strong organisational, analytical, and problem-solving skills. Ability to work across multiple projects and manage time effectively. Competent in MS Office; familiarity with project management tools (MS Project) advantageous.Desirable Qualifications & Knowledge Degree or HNC/HND in Engineering (Civil, Mechanical, Electrical, or Process) or equivalent experience. Experience working with major water utilities or Tier 1 contractors. Knowledge of AMP cycles, TOTEX thinking, and water-industry asset standards. Understanding of process engineering related to water and wastewater treatment. CSCS, EUSR, SMSTS/SSSTS, or relevant safety certifications. Experience with digital tools (BIM, SCADA interfaces, CAD, modelling software).Personal Attributes Strong communicator with the ability to collaborate effectively across multidisciplinary teams. Proactive, detail-oriented, and solution-driven. Able to work independently and take ownership of tasks. Commitment to safety, sustainability, and continuous improvement.Working Conditions Based at treatment works, pumping stations, or regional sites. Includes site visits, climbing ladders, confined space areas (with training). Participation in standby/rota call-out system may be required. Outdoor work in varying weather conditions.Salary and benefits Salary subject to experience Car Allowance Medicash plan Life insurance Benefits portal Company pension 25 days holiday (plus bank holidays)At AFECO, we value our employee's and encourage and support them to development themselves and their career through training and progression. We offer the opportunity to work on a range of project types and size in the water sector including our own internally developed products and solutions. We are a privately owned business with a friendly and open culture and are dedicated to creating and maintaining and workforce that is highly skilled and motivated. As a Company we are committed to equal opportunities for all and do not discriminate on the grounds of race, religion or belief, sexual orientation, gender reassignment, marital or civil partner status, sex, disability or age.Join us at AFECO and be part of our mission to deliver innovative and sustainable solutions to the complex infrastructure needs of the UK.
06/06/2026
Full time
Project EngineerApplylocations: Afeco - Havanttime type: Full timeposted on: Posted Todayjob requisition id: JR100686As part of the United Infrastructure Group, we are a dynamic and innovative specialist engineering services, solutions and products provider focused on servicing our clients' immediate and future needs. We do this through the development of industry-changing cleantech products as well as through engineering delivery excellence. We specialise in the design and delivery of process, mechanical, electrical and ICA engineering-based projects, products and solutions. Regardless of the project, they all pursue the same goal: to improve the efficiency and sustainability of our water, wastewater and waste treatment. We have a team of highly skilled and experienced professionals with extensive consulting and contracting experience, including engineers, scientists and commercial managers. Our knowledge and expertise spans more than 30 years, across industries including: water, wastewater, marine, energy and power sectors. At AFECO, we cover all stages of the innovation and project delivery cycle from concept through to operations. Our aim is simple - to provide the most effective solutions and products on the market and thus, exceed clients expectations through market-leading technology. From technical through to commercial and management expertise, we have the in-house expertise to execute a range of projects from the most basic to highly complex.Job title Project EngineerLocation Havant, Hampshire - Mobilise to sites across South of England and MidlandsLine Manager Operations ManagerAbout usAFECO is an engineering services provider, delivering high quality process and MEICA design and installation projects predominantly across the South of England and Midlands for the water industry. We have excellent inhouse engineering teams capable of delivering all stages of the project cycle, from concept through to commissioning, with a strong focus on process led innovative and robust yet appropriate solutions.We have a portfolio of varied projects covering both wastewater and clean water projects for planned and reactive projects.Due to the expansion of our team, we are currently recruiting for a Project Engineer to work within our multi-disciplinary teams. This is a great opportunity for enthusiastic individuals who fit in with our company values and are keen to develop in a forward-thinking organisation.Role overviewThe Project Engineer will play a key role in delivering water-sector infrastructure projects from design through to commissioning. Working closely with project managers, designers, contractors, and client representatives, the Project Engineer ensures technical quality, regulatory compliance, and efficient execution across clean water, wastewater, and treatment-related works.Key ResponsibilitiesProject Delivery Support end-to-end project lifecycle, including feasibility, detailed design, procurement, construction, and commissioning. Translate project requirements into technical specifications and engineering solutions. Assist in the development of project plans, schedules, and cost estimates. Coordinate with contractors and suppliers, ensuring timely delivery of materials and services.Technical Engineering Review engineering drawings, P&IDs, and technical documents for accuracy and compliance. Provide engineering input on process, mechanical, electrical, or civil elements (depending on project scope). Conduct site surveys, assessments, and technical investigations. Support development of risk assessments, method statements (RAMS), and design risk registers.Quality, Compliance & Safety Ensure all project activities comply with water industry standards, regulatory requirements (e.g., DWI, EA), and health & safety legislation (e.g., CDM). Conduct quality checks, inspections, and documentation reviews. Support environmental and sustainability objectives associated with water projects.Stakeholder Management Liaise with internal teams, clients, statutory authorities, and subcontractors. Support progress meetings, prepare status reports, and escalate risks and issues. Communicate technical information effectively to both technical and non-technical stakeholders.Commissioning & Handover Support commissioning activities, FAT/SAT processes, and performance testing. Ensure full documentation is delivered, including O&M manuals, as-built drawings, asset data, and training materials. Assist in project close-out and lessons-learned reviews.Essential Skills & Experience Previous experience in the water sector (clean water, wastewater, pumping stations, networks, or treatment works). Strong understanding of water-industry standards, regulations, and common project delivery frameworks. Proficiency in interpreting engineering drawings and specifications. Strong organisational, analytical, and problem-solving skills. Ability to work across multiple projects and manage time effectively. Competent in MS Office; familiarity with project management tools (MS Project) advantageous.Desirable Qualifications & Knowledge Degree or HNC/HND in Engineering (Civil, Mechanical, Electrical, or Process) or equivalent experience. Experience working with major water utilities or Tier 1 contractors. Knowledge of AMP cycles, TOTEX thinking, and water-industry asset standards. Understanding of process engineering related to water and wastewater treatment. CSCS, EUSR, SMSTS/SSSTS, or relevant safety certifications. Experience with digital tools (BIM, SCADA interfaces, CAD, modelling software).Personal Attributes Strong communicator with the ability to collaborate effectively across multidisciplinary teams. Proactive, detail-oriented, and solution-driven. Able to work independently and take ownership of tasks. Commitment to safety, sustainability, and continuous improvement.Working Conditions Based at treatment works, pumping stations, or regional sites. Includes site visits, climbing ladders, confined space areas (with training). Participation in standby/rota call-out system may be required. Outdoor work in varying weather conditions.Salary and benefits Salary subject to experience Car Allowance Medicash plan Life insurance Benefits portal Company pension 25 days holiday (plus bank holidays)At AFECO, we value our employee's and encourage and support them to development themselves and their career through training and progression. We offer the opportunity to work on a range of project types and size in the water sector including our own internally developed products and solutions. We are a privately owned business with a friendly and open culture and are dedicated to creating and maintaining and workforce that is highly skilled and motivated. As a Company we are committed to equal opportunities for all and do not discriminate on the grounds of race, religion or belief, sexual orientation, gender reassignment, marital or civil partner status, sex, disability or age.Join us at AFECO and be part of our mission to deliver innovative and sustainable solutions to the complex infrastructure needs of the UK.
Data Scientist, network planning optimization worldwide, Supply Chain Optimization Technology Job ID: Amazon EU SARL (UK Branch) - D67 Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon to deliver it to you? We are looking for a Data Scientist who will be responsible to develop cutting edge scientific solutions to optimize our fulfillment strategy across multiple regions of the world (EU, JP, IN and more), to maximize our Customer Experience and minimize our cost and carbon footprint. You will partner with the worldwide scientific community to help design the optimal fulfillment strategy for Amazon. You will also collaborate with technical teams to develop optimization tools for network flow planning and execution systems. Finally, you will also work with business and operational stakeholders to influence their strategy and gather inputs to solve problems. To be successful in the role, you will need deep analytical skills and a strong scientific background. The role also requires excellent communication skills, and an ability to influence across business functions at different levels. You will work in a fast paced environment that requires you to be detail oriented and comfortable in working with technical, business and technical teams. Key job responsibilities Design and develop mathematical models to optimize inventory placement and product flows. Design and develop statistical and optimization models for planning Supply Chain under uncertainty. Manage several, high impact projects simultaneously. Consult and collaborate with business and technical stakeholders across multiple teams to define new opportunities to optimize our Supply Chain. Communicate data driven insights and recommendations to diverse senior stakeholders through technical and/or business papers. Leverage LLMs to improve explainability of our optimization solutions and drive engagement from supply chain planners across the world. Basic Qualifications Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent) Experience working as a Data Scientist Experience with statistical models e.g. multinomial logistic regression Experience working with data engineers and business intelligence engineers collaboratively Preferred Qualifications Experience with data visualization using Tableau, Quicksight, or similar tools Experience managing data pipelines Experience as a leader and mentor on a data science team Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. 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. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
06/06/2026
Full time
Data Scientist, network planning optimization worldwide, Supply Chain Optimization Technology Job ID: Amazon EU SARL (UK Branch) - D67 Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon to deliver it to you? We are looking for a Data Scientist who will be responsible to develop cutting edge scientific solutions to optimize our fulfillment strategy across multiple regions of the world (EU, JP, IN and more), to maximize our Customer Experience and minimize our cost and carbon footprint. You will partner with the worldwide scientific community to help design the optimal fulfillment strategy for Amazon. You will also collaborate with technical teams to develop optimization tools for network flow planning and execution systems. Finally, you will also work with business and operational stakeholders to influence their strategy and gather inputs to solve problems. To be successful in the role, you will need deep analytical skills and a strong scientific background. The role also requires excellent communication skills, and an ability to influence across business functions at different levels. You will work in a fast paced environment that requires you to be detail oriented and comfortable in working with technical, business and technical teams. Key job responsibilities Design and develop mathematical models to optimize inventory placement and product flows. Design and develop statistical and optimization models for planning Supply Chain under uncertainty. Manage several, high impact projects simultaneously. Consult and collaborate with business and technical stakeholders across multiple teams to define new opportunities to optimize our Supply Chain. Communicate data driven insights and recommendations to diverse senior stakeholders through technical and/or business papers. Leverage LLMs to improve explainability of our optimization solutions and drive engagement from supply chain planners across the world. Basic Qualifications Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent) Experience working as a Data Scientist Experience with statistical models e.g. multinomial logistic regression Experience working with data engineers and business intelligence engineers collaboratively Preferred Qualifications Experience with data visualization using Tableau, Quicksight, or similar tools Experience managing data pipelines Experience as a leader and mentor on a data science team Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. 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. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
