1,476 to 1,500 of 3,105 Data Science Jobs in England

team technical initiatives; drive design forums, establish engineering guardrails, and ensure high‐quality delivery via code reviews and automation. Partner closely with Product, Design, Data Science, and Platform teams to define project scope, sequence milestones, and proactively de‐risk execution for iterative releases. Own design of APIs … hardening on‐call procedures and runbooks, and leading incident response and post‐mortems. Solve complex distributed system challenges (such as throughput, latency, consistency, and data modeling) with pragmatic decision‐making and balanced tradeoffs. Document architectural decisions, service ownership, and operational runbooks to share knowledge and maintain long‐term scalability. ...

working closely with research, software engineering and product teams to build scalable, production-grade AI solutions.ResponsibilitiesOwn the end-to-end machine learning lifecycle, including data pipelines, model training, evaluation, inference and deployment.Fine-tune and optimise large language models using modern techniques such as LoRA, QLoRA, supervised fine-tuning, preference … optimisation and model distillation.Design scalable inference infrastructure with a focus on latency, reliability and operational efficiency.Build and maintain high-quality data pipelines for both synthetic and real-world datasets.Develop robust evaluation frameworks covering model quality, robustness, safety and performance.Optimise GPU utilisation, memory usage and inference performance for production deployments.Work ...

York City with offices around the world. To learn more, go to www.zetaglobal.com. The Role As a Senior Compute Platform Engineer on the Data Platform team, you will be part of the group responsible for building and running the data infrastructure that powers Zeta's platform, including Zeta … lakehouse platform. The Data Platform team delivers reliable, cost-efficient data processing that scales with growth — so engineers and analysts can focus on business problems instead of wrestling with infrastructure. The Data Platform team empowers data scientists and data engineers through a Scala data ...

consultancy tooptimizeand develop price and yield capabilities, working on three core activities: designing bespoke end-to-end solutions, defining and implementing trials, and analysing data to enhance commercial performance. Leadingthe thinking on new solutions, you’ll solve complex business problems end-to-end, using analytics, algorithm design, technology … automation to simplify processes anddriveprofitability. Working closely with digital solutions teams, multi-regional price and yield teams, and technology partners, you’ll ensure data is leveraged effectively to enhance solution performance and informdecision-making. You’ll design and implement business trials using suitable methodology, ensuring hypotheses are clearly formulated ...

Make, n8n, Zapier, Workato, or custom builds) and API integrationsDefine and track success metrics, time saved, cost reduced, error rates down. Automate reporting and data flows so leadership has real-time visibility into business performanceLead, mentor, and grow a small automation team while remaining a builder yourselfEvaluate and adopt … tooling as the landscape evolves, staying ahead, not catching upWhat we’re looking forA technical background, software engineering, data engineering, data science, or AI/ML Engineering that has evolved into commercial and operational fluencyProven experience building and running automation initiatives inside a business, not just proof ...

improvement across the Council and wider health and care system. The role focuses on embedding an insight-informed decision-making culture by using epidemiology, data science, statistical analysis, qualitative insight and data visualisation to understand local population needs, reduce health inequalities and improve health and wellbeing outcomes … residents. A key part of the role is leading health intelligence products and programmes, including the Joint Strategic Needs Assessment, and ensuring high-quality data and analysis are used to inform public health priorities and wider Council strategies. The postholder will manage and coordinate the work of public health ...

service improvement across the Council and wider health and care system.The role focuses on embedding an insight-informed decision-making culture by using epidemiology, data science, statistical analysis, qualitative insight and data visualisation to understand local population needs, reduce health inequalities and improve health and wellbeing outcomes … residents. A key part of the role is leading health intelligence products and programmes, including the Joint Strategic Needs Assessment, and ensuring high-quality data and analysis are used to inform public health priorities and wider Council strategies.The postholder will manage and coordinate the work of public health analysts ...

Research sits within the Chief Data & Analytics Office (CDAO) at JPMorganChase which is responsible for accelerating the firm’s data and analytics journey. This includes ensuring the quality, integrity, and security of the firm's data, as well as leveraging this data to generate insights … production-scale delivery in close collaboration with engineering and product teams. Job responsibilities Work on multiple commercially oriented research projects in collaboration with internal data scientists, applied engineering teams and stakeholders across businesses e.g. Commercial & Investment Banking (including Markets), Asset & Wealth Management, Consumer & Community Banking, etc. Formulate problems, generate ...

prompt and context design, agent memory, and evaluation harnesses — proving value and feasibility before committing engineering investment. Take successful prototypes to production with engineering, data science, and design — including human review gates, guardrail breach detection, automated rollback, audit trails, and attribution so every agent action is measurable … technically complex systems. Strong technical depth and experience partnering with engineering and DS/ML teams; comfortable discussing agent architectures, system design, data flows, tradeoffs, and constraints. Hands-on ability to prototype: capable of using APIs/SDKs from major LLM providers and writing simple code (e.g., Python ...

exciting opportunity has arisen for a Threat Detection Engineer to join a well-established biotech company using large-scale genetic data and AI to predict disease risk and advance precision healthcare.As a Threat Detection Engineer, you will be responsible for developing and enhancing threat detection capabilities within a modern … experience with Microsoft Sentinel and Defender (Endpoint, Office 365).Familiarity with Microsoft Entra ID, including Identity Governance.Experience with Microsoft Purview, particularly DLP and data protection tools.Exposure to cloud-native logging in Azure and Kubernetes environments.Understanding of “detection as code” or “everything as code” approaches, including CI/CD pipelines.Experience ...

Market Intelligence Team On our proprietary research team-Market Intelligence you’ll partner with our investment professionals and Compliance team to work with alternative data to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques. … work alongside a talented team with diverse skills, backgrounds, and perspectives. Our sector data analysts, data scientists, data managers, and engineers work together to build compliant research products that are incorporated into the research process of our investment professionals. We look for other bright, motivated, and collaborative ...

methodologies with multiple lenses and a strong leadership vision is critical in our journey. This individual combines technical expertise in AI with a data-driven approach, understanding that data is our competitive advantage and demands the highest standards of accuracy, transparency, and trust. AI will be seamlessly embedded … throughout our organization, empowering us to harness data at every level—ensuring we anticipate market trends, make informed decisions, and consistently stay ahead of the competition. Establishing the Head of AI role is not just a strategic decision—it’s a necessity for our continued growth and leadership ...

Product Analyst to join the Financial Crime Platform team and partner with our Financial Crime and KYC Product teams to ensure we are making data-driven and innovative growth decisions while helping to combat financial crime. Financial Crime (Servicing) Platform is our internal risk infrastructure tool that unifies customer … Analysts to bring your insights into real change for our customers and help us work towards our missionYou’ll expose the vast amounts of data available to our product teams in a meaningful and actionable way and support other teams in discovering insights in our data solutionsProactively contribute ...

APIs, prompt and context design, agent memory, and evaluation harnesses — proving value and feasibility before committing engineering investment.Take successful prototypes to production with engineering, data science, and design — including human review gates, guardrail breach detection, automated rollback, audit trails, and attribution so every agent action is measurable … technically complex systems.Strong technical depth and experience partnering with engineering and DS/ML teams; comfortable discussing agent architectures, system design, data flows, tradeoffs, and constraints.Hands-on ability to prototype: capable of using APIs/SDKs from major LLM providers and writing simple code (e.g., Python or TypeScript/ ...

ethical AI methodologies with multiple lenses and a strong leadership vision is critical in our journey.This individual combines technical expertise in AI with a data-driven approach, understanding that data is our competitive advantage and demands the highest standards of accuracy, transparency, and trust.AI will be seamlessly embedded … throughout our organization, empowering us to harness data at every level—ensuring we anticipate market trends, make informed decisions, and consistently stay ahead of the competition.Establishing the Head of AI role is not just a strategic decision—it’s a necessity for our continued growth and leadership ...

prompt and context design, agent memory, and evaluation harnesses — proving value and feasibility before committing engineering investment. Take successful prototypes to production with engineering, data science, and design — including human review gates, guardrail breach detection, automated rollback, audit trails, and attribution so every agent action is measurable … technically complex systems. Strong technical depth and experience partnering with engineering and DS/ML teams; comfortable discussing agent architectures, system design, data flows, tradeoffs, and constraints. Hands‐on ability to prototype: capable of using APIs/SDKs from major LLM providers and writing simple code (e.g., Python ...

identify evidence gaps, generate meaningful insights, and advance innovative approaches to evidence generation. You will also contribute to the evolution of real‐world data capabilities and methodologies that strengthen UCB’s ability to address complex healthcare challenges.Who You’ll Work WithYou will work closely with RWE Strategy Leads, Epidemiology … Evidence Synthesis teams, Safety and Pharmacovigilance colleagues, Biostatisticians, Data Scientists, and external research partners. You will collaborate across global functions to ensure evidence generation activities are aligned with strategic priorities and deliver meaningful value to patients and stakeholders.What You’ll DoLead the design, execution, and delivery of complex global ...

process.This is an opportunity to join a highly diverse and growing team passionate about pioneering the application of quantitative research, ML/AI and data science to private markets investing and risk management.The ideal candidate is someone with:Passion for financial markets and investing, quantitative research with complex … characterize market risk/return relationships, evaluate investment opportunities in the private equity co-investment market to inform investment selection and due diligence.Diligently perform data exploration and visualization to test investment team hypotheses.Accountable for communicating analysis results and actionable insights to the investment team.Support and drive adoption and integration ...

pricing, payment plans, and cancellation terms. The impact you'll have: Reporting to the Head of Pricing & Revenue Management, you will develop and implement data-led strategies that balance growth and profitability across trillions of potential package combinations. You will also help develop highly scalable revenue management capabilities … optimise revenue management levers. Collaborating with other commercial teams to identify and influence broader trading opportunities, such as merchandising. Partnering with Product, Engineering, and Data Science to architect and build best-in-class, configurable pricing and packaging systems. Communicating performance updates and strategic recommendations clearly to senior stakeholders. ...

About us Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production. Trusted by Woven by Toyota, AXA, UiPath, Zipline … Next47 and Y Combinator. The role We're hiring a Quality Systems Lead to own how Encord measures the quality of the human data we deliver to frontier AI labs, physical AI companies and enterprise AI teams — the standard itself, the systems that evaluate against it, and the audit ...

traditional full‐stack role. You’ll focus on scalable backend systems, event‐driven architectures, and AI‐enabled platforms, working closely with product, data science and platform teams to turn advanced AI capabilities into reliable, production‐ready systems. Your work will directly shape how clients interact with data … grow with our ambition, including:Creating scalable, distributed backend services for AI‐driven applicationsBuilding event‐driven systems that process large volumes of behavioural data in real timeDeveloping services in Node.js/TypeScript and/or PythonDesigning APIs that support high‐throughput, low‐latency workloadsHelping orchestrate and optimise AI agent ...

largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Description Fantastic opportunity to join WTW’s Rewards Data Intelligence Practice as a Rewards Survey Consultant. WTW is a leading provider of compensation, benefits, and employment practices information to the global employer community. Covering … more than 100 countries across six continents, our data centres in North America, Europe, Middle East and Africa, Asia Pacific and Latin America annually compile reports on the remuneration, benefits and employment practices of local and multinational companies. Our portfolio of products and customised services helps organizations to: • Develop ...

excited to shape AI-powered compliance solutions that help customers navigate an evolving regulatory landscape Do you enjoy turning customer insights and data into product decisions that deliver measurable value and outstanding user experiences About the TeamLexisNexis Regulatory Compliance is a rapidly growing business within LexisNexis Legal & Professional, helping … identify opportunities, prioritize product enhancements, and deliver solutions that improve user experiences and drive customer value. This role combines product discovery, stakeholder collaboration, and data-driven decision making to support the successful development and growth of the platform.You will work closely with the Head of Product, engineering, data ...

agreed timetables, ensuring robust governance and controls (reconciliations, validation checks, sign-off readiness, version control).Maintain MI definitions, calculation logic, and documentation (KPI library, data dictionary, methodology notes, lineage and assumptions).Ensure consistency of MI across stakeholders by standardising metrics and clearly documenting changes.Improve MI processes through automation … simplification to reduce manual effort and operational risk.3) Data Management & QualityExtract, transform and validate data from internal sources; perform data quality checks and reasonableness testing.Investigate data breaks and anomalies, clearly articulate root cause and impact, and coordinate fixes with data/technology teams.Maintain controlled datasets ...

drive our product transformation. You will also work with other product disciplines to build unique experiences for our clients. You will leverage research, data and metrics to understand our clients’ preferences and make critical product decisions/tradeoffs. The ideal candidate is someone who excels at delivery, is passionate … about user experience, has experience working on front-end consumer facing products, and has worked closely with design and data teams to build consumer products. RESPONSIBILITIES Develop a deep understanding of Sotheby’s core business lines Create a product vision for our client facing applications by conducting market research ...