2,801 to 2,825 of 3,215 Data Science Jobs in England

embedded within the Digital Policy Unit (DPU), a unit comprising both DHSC staff and NHSE staff intended to design, plan and build adigitally enabled, data driven and safe health and social care system with ministers and the NHS. The DPU is a sub-directorate of the Transformation Directorate, whichenables … outcomes for the NHS and the people it serves by improving population health and patient pathways, rapidly adopting effective technologies, building on insights from data and edge-cutting research, and by transforming the way that care is delivered. Purpose of the JCU The JCU sets develops and implements strategy ...

Cambridge, please apply.For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, Machine Learning, Data Science or Simulation contact us today.Tagged as: Control Systems, Linux, Operations, Python, Software ...

Cambridge, please apply. For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, Machine Learning, Data Science or Simulation contact us today. Tagged as: Control Systems, Linux, Operations, Python, Software ...

QUALIFICATIONS2:1 or above in a Bachelor's degree in a technical field (computer science, mathematics, AI, machine learning, data science, engineering, etc.)Functional knowledge and passion for digital technology and IT, as well as business and strategyProven record of leadership in a work setting and/ ...

market builds, and navigate cross-team dynamics across engineering, legal, and compliance to ship it. You solve ambiguous, cross-market problems using data and AI methodology, not just domain memory, and you use AI to turn scattered market and regulatory signal into product opportunities other people haven't framed … regulatory filing rules into reusable, scalable configurations across 100+ markets. Champion a policy-as-code model: treat government tax requirements as structured data that AI can ingest, validate, and deploy, replacing slow, per-country manual configuration. Define the AI + Human Intelligence (AI+HI) pipeline where it fits: how official ...

algorithms, and chauffeur incentive programs to stabilize the marketplace during peak hours and high-demand events. Product & Algorithm Collaboration: Partner closely with global Product, Data Science, and Engineering teams to improve matching algorithms, dispatch logic, and internal operational tooling. Requirements We are looking for analytically exceptional, entrepreneurial operators … must be comfortable querying large datasets, building your own dashboards, and conducting independent quantitative analysis. Execution Mindset: Proven track record of moving rapidly from data-driven hypotheses to hands-on execution and operational implementation. Nice To Have Direct experience working within the marketplace, pricing, or driver operations teams ...

genuinely useful for our customers, managing any third-party AI partners along the way.Recruiting and leading a cross-functional team across product, engineering, data science and commercial, and building a culture of innovation and pace that attracts great people.Representing AI Services on the OpCo and working closely with … track record of building and scaling a new product line or business unit within consumer tech or a marketplace.Experience commercialising B2B software, AI or data products — from concept through to revenue.Strong commercial acumen, ideally with P&L ownership, and a genuine understanding of how AI technologies translate into real ...

under our direct control. Behind the scenes, that means handling massive technical scale: solving complex optimisation problems in real time and processing 15 billion data readings a day from the latest green technologies, ensuring the grid stays reliable without relying on old fossil‐fuel backup plants. The next phase … growth. Running complex, multi‐variable mathematical models in tight real‐time windows requires immense efficiency. The core tension lies in balancing the demand from data science and quantitative engineering to introduce increasingly sophisticated models with the strict platform requirement for absolute reliability, low latency, and cost‐effective cloud ...

insights across collectives, identifying themes, opportunities and gaps rather than viewing research through the lens of a single team. Bringing together existing research, product data, market insights and quantitative evidence to help leadership make informed strategic decisions. Managing managers and supporting approximately 6-8 direct and indirect reports while … into a coherent strategic narrative. Navigating complex stakeholder environments where different teams have competing priorities, metrics and timelines. Partnering with Product, Design, Engineering and Data Science leaders to influence roadmaps and business strategy. Combining qualitative research with quantitative signals, product data and market insights to develop strategic ...

patientsWe are looking for a Principal Statistical Methodologist who is curious, collaborative, and strategic to join our Statistical Innovation team within Biometric and Data Sciences (BDS), based in Slough (UK).About the roleYou will help shape how evidence is generated and communicated across the drug development lifecycle—from early … part of a team that provides statistical consultancy across therapy areas and development stages, partnering closely with colleagues in clinical development, regulatory strategy, data science, and medical affairs. The team values curiosity and problem solving, practical innovation, clear communication, and collaboration—bringing novel statistical approaches into real study ...

make strategic, sustainable decisions by bringing transparency to markets across the world. We create a comprehensive view of commodities markets, providing companies with the data and intelligence to successfully navigate across global value chains every day. Our customers benefit from instant access to price assessments, reports and forecasts … identify whether blockers are product, platform, integration, execution, or change-management related. Technical fluency to direct delivery. You can engage credibly with engineering and data science teams, understand modern AI production patterns such as RAG, evals, agents, tool use, and MCP, and have recent experience building or prototyping ...

work alongside product to make sure what we build reflects real SAP practice, and alongside our AI team to validate and curate the reference data that our models are judged against. When a generated answer is textbook correct but operationally naive, you are the person who spots it. What … change scenarios, identifying where a design assumes an idealised landscape. Translate SAP nuance for colleagues who do not have an SAP background, including our data science team, and explain why a given detail matters. Contribute to the architecture team's patterns, standards, and decision records where SAP domain ...

plans and creative direction that drive relevance, adoption, and sustained engagement for Robinhood. Define success metrics and track impact in partnership with product and data science teams, ensuring alignment with legal and compliance requirements. What you bring 7+ years experience in product marketing (or adjacent consumer growth/… break down complex concepts so they’re simple, clear, and human. Strong relationship-building skills and ability to lead cross-functionally through influence. Data-informed decision making, including familiarity with experimentation and performance measurement. Fluency across key marketing channels (e.g., lifecycle, performance, in-product, and social ...

create and execute on a compelling roadmap.Deeply understand Stripe users' (merchants and partners) needs by spending time with partnership managers, risk, legal, compliance, data science, engineering, products, and go-to-market teams, and by observing patterns and trends across their feedback and the industry.Drive adoption of strategic payment … precise and concise articulation of user problemsStrong analytical capabilities with experience defining and tracking success metrics, running experiments (e.g., holdback tests), and using data to measure product impact on revenue, conversion, and margins.Experience working on products that require aligning multiple stakeholders, developing joint roadmaps, and navigating competing priorities between ...

create and execute on a compelling roadmap. Deeply understand Stripe users' (merchants and partners) needs by spending time with partnership managers, risk, legal, compliance, data science, engineering, products, and go-to-market teams, and by observing patterns and trends across their feedback and the industry. Drive adoption … precise and concise articulation of user problemsStrong analytical capabilities with experience defining and tracking success metrics, running experiments (e.g., holdback tests), and using data to measure product impact on revenue, conversion, and margins. Experience working on products that require aligning multiple stakeholders, developing joint roadmaps, and navigating competing priorities ...

operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many … work time for team meetings, events and conferences What we are looking for in you An exceptional academic track record Background in Computer Science, STEM or similar Experience with Linux and open source software Experience with at least one of Python, Go, C or C++ on Linux A drive ...

engineers) through the full product lifecycle, from discovery to sprint delivery, QA and release, with potential to expand remit over time.Partner closely with Marketing, Data Science, and other Growth functions to create a cohesive acquisition strategy.Own outcomes, not just output. Treat every release as a hypothesis to validate … impact, and feed learnings into the next iteration.Develop and maintain a clear 6 to 12 month roadmap that connects customer needs to business outcomes.Use data and experimentation (A/B tests, analytics, insight) to identify opportunities and drive improvement in conversion rate and acquisition quality.Balance short-term experiments with ...

systematic exposure. The role sits with the trading team on the bleeding edge of technology as well as execution.This is an environment of science and intellectuals. The firm is known globally for its attitudes and rigour more importantly, you will be surrounded by smart people deeply interested in teaching … money doing something you are passionate about.My client is based in LondonResearch, Systematic, Stat Arb, C++ Erlang, F#, Scala, Haskell, Django, Python, Twisted, noSQL, Data ScienceSeniority LevelMid-Senior levelIndustryCapital MarketsFinancial ServicesInformation Technology and ServicesEmployment TypeFull-timeJob FunctionsInformation TechnologyEngineeringFinance ...

environment where talented engineers can thrive. You'll coach and develop a high-performing team of AI Engineers, bringing together expertise in engineering, data science and architecture to solve complex problems at scale. You'll also lead the development of reusable AI capabilities and platforms that … future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop. We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview ...

environment where talented engineers can thrive. You'll coach and develop a high-performing team of AI Engineers, bringing together expertise in engineering, data science and architecture to solve complex problems at scale. You'll also lead the development of reusable AI capabilities and platforms that … future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop.We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted ...

Sales & Marketing at Omnipresent, ex-Entrepreneur First founder. Leads Jill acquisition. Tom Robinson , Currently leading all B2C and B2B marketing. Specialist across Growth, Data & Product Ex-VP Global Marketing at Deliveroo, where he spent 7 years building and leading a 100+ person function across data science, analytics ...

Legora, Leah, HighQ Collaborate, Contract Express,Kira, Intralinks, Avvoka, Ansarada, Atticus and RelativityOne.· Education, training and/or relevant experience within AI,Legal Technology, Data Science, Law, BusinessManagement/Commerce or Finance, with prior experience orexposure to legal or other professional services delivery preferred.#LI-HYBRID #LI ...

least MSc level expected Excellent oral & written communication skills Experience programming using C++ in HPC environments desirable. Knowledge and experience in the application of data science and machine learning to subsurface imaging challenges a bonus Career Advancement: SLB Eureka Technical Career (SETC) provides proven technical contributors with ...

operating systems for global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. ...

dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value ...