926 to 950 of 1,732 Data Science Jobs in the UK

Oversee the deployment of low-latency, high-throughput retrieval and ranking pipelines (e.g., multi-stage retrieval, vector search) capable of processing billions of travel data points (reviews, photos, bookings, user intent) in real-time. Cross-Functional Collaboration: Partner closely with Product Managers, Engineering Leads, and Data Science … coach senior and mid-level ML scientists. Foster a culture of technical excellence, driving best practices for MLOps, rigorous A/B testing, data privacy, and code quality. Skills & Experience: Education: Ph.D. or Master's degree in Computer Science, Machine Learning, Statistics, or a highly quantitative field. Experience ...

business community. Please do not contact the recruiter directly. Principal Product Manager I Do you have 10+ years building and shipping complex AI or data-intensive products? Do you have a real passion for new ideas, techniques, and technologies? Join us and lead the future of AI-powered research … peer-reviewed full-text articles, and a growing set of other sources. We're an international team and we work from evidence. We support science to help improve the world. About the Role We're looking for a Principal Product Manager to own agentic retrieval and orchestration for LeapSpace ...

Jet2.com Limited is seeking a Lead Data Scientist to shape and deliver data science strategy across the Jet2 business. You will lead a team of data scientists, applying ML, statistics and advanced analytics to unlock commercial value and enhance customer experiences. Based in Leeds with hybrid … work, you will partner with stakeholders to identify opportunities, deliver projects from concept to production, and advance data governance and best practices within the organization. #J-18808-Ljbffr ...

go. If you love making a difference, you'll love making it sparkle for millions of Very customers. About the Role As a Principal Data Engineer, you'll be one of the most influential technical voices within our Data Science and Engineering team. You’ll help define … future direction of our data platforms and engineering practices while remaining close to the technology that powers them. Working alongside Architects, Engineering leaders and cross-functional squads, you'll help ensure we're building scalable, resilient and modern data solutions that support our ambitious goals. This role offers ...

Join a well-established biotech company using large-scale genetic data and AI to predict disease risk and advance precision healthcare. We’re looking for a Threat Detection Engineer who thrives on innovation and technical ownership. This role is not a traditional SOC position, you’ll focus on building … high-impact detection capabilities , shaping how security protects sensitive genomic and AI-driven data at scale. This role offers hybrid/remote working options, a salary range of £60,000 - £80,000 and benefits. Why This Role is Exciting High autonomy : Lead projects from idea to deployment Innovation-driven ...

Join a well-established biotech company using large-scale genetic data and AI to predict disease risk and advance precision healthcare. We’re looking for a Threat Detection Engineer who thrives on innovation and technical ownership. This role is not a traditional SOC position, you’ll focus on building … high-impact detection capabilities , shaping how security protects sensitive genomic and AI-driven data at scale. This role offers hybrid/remote working options, a salary range of £60,000 - £80,000 and benefits. Why This Role is Exciting High autonomy : Lead projects from idea to deployment Innovation-driven ...

solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, https://risk.lexisnexis.com About the team : You will be part … team who use global data from the largest real-time fraud detection platform to craft solutions for our enterprise customers . About the rol e: Your experience with data analysis, statistical modelling, and machine learning will lead to immediate real-world impact in the form of lower customer ...

contribute to regular Steering Committees, ensuring packs are complete and risks are surfaced in advance. Escalate delivery risks and blockers early with clarity, using data and narrative to drive decisions. Skills & Experience Proven experience in multi-squad delivery leadership, ideally in a regulated environment such as financial services. Strong … hands-on experience in delivery planning, ceremonies, dependency management and release readiness. Ability to lead across complex business or technical change - including systems integration, data migration, platform uplift or regulatory initiatives. Demonstrable experience integrating or supporting AI, data science or machine learning initiatives - or working in squads ...

threats from spreading across their network, gain visibility and control over applications, and enable a secure hybrid workforce. Deep understanding of cybersecurity fundamentals, including data security, network security, and cloud security Demonstrated ability to lead complex sales engagements Extensive experience cloud platforms such as AWS, Azure, or GCP Excellent … ability to influence senior stakeholders Self-starter who thrives in a fast-paced, collaborative environment with minimal direction Bachelor’s degree in business, computer science, engineering, or a related field; advanced degrees a plus Experience selling to CISOs, CIOs, and data science/security teams Experience working ...

London, United Kingdom Job Description Function: Data & AI Solutions Location: Hybrid, London office Curious about what’s next? So are we. Join Compare the Market and help to make financial decision making a breeze for millions. At Compare the Market, we’re a purpose-driven business powered by tech … shared components that make the whole thing work. This is a hands-on role with real technical scope. You will work closely with data scientists, engineers, and product teams - contributing to architecture decisions, raising engineering standards, and building the reusable tooling that raises the pace and quality of delivery ...

achieve defined outcomes. Pioneer the rapid prototyping and validation of AI concepts using advanced tools, bringing new thinking and curiosity to create innovative, data‐driven solutions with a long‐term perspective. Articulate complex AI ideas and present the AI strategy, progress, and results to senior leadership, clients, and external … should demonstrate advanced knowledge in specialized fields within the industry and the ability to monitor external trends. Deep knowledge of financial markets, including reference data, corporate actions, loan lifecycle, lending, or compliance, combined with a proven track record managing complex, multi‐stakeholder AI or technology roadmaps across multiple products. ...

exciting time for you to join and shape the future of our business. This is a great role for someone looking to develop their data and analytics skills to drive and improve business outcomes. A great advantage of being a member of the Animal Health Pricing team … team has collaborated with the worldwide Allianz Group, to deliver an accreditation scheme designed to train you in all aspects of pricing. From data science modelling in cutting edge software to automating optimisation calculation routines honed across global markets. Pricing will play a key role in delivering this ...

into live pricing teams at major UK insurers. Why Insurance pricing? Pricing analysts don't just crunch numbers. They answer questions with millions of data points and real financial stakes: How do we price insurance competitively whilst protecting margins? What patterns in the data signal risk? Where … compete, and where do we lead? Your models influence real decisions, real prices and real profit, from day one. It's where data science meets commercial strategy, and demand for good pricing analysts far outstrips supply. Your fast-track in Over 10 weeks, our academy takes you from ...

Must Have Strong quantitative background with excellent analytical and problem-solving skills Python programming experience Understanding of statistics and experimental design Experience working with data science or machine learning workflows Interest in LLMs, generative AI and agentic systems Ability to analyse data and translate findings into actionable ...

causal inference to distinguish genuine impact from correlation? Have you applied propensity methods or counterfactual modelling to customer or product data? Would you like to help move an established Data Science team from prediction into causality? A major global consumer technology business is hiring a Data … genuine depth in causal inference methods • Experience with propensity methods, Double Machine Learning, counterfactuals or related techniques • Experience working with customer or product data, ideally in a subscription-based business • Ability to build and productionise analytical solutions, rather than purely conduct research • Strong communication skills and a quantitative STEM ...

Quant Analyst to join their growing Sustainable Investment team. This is a unique opportunity for someone with a passion for sustainability and data science to help drive innovation in responsible investing. You'll play a key role in developing the firm's ESG research, analytical tools and proprietary … development of scalable research processes, analytical models and AI-enabled tools that enhance stewardship and ESG decision-making Help identify new sources of ESG data and innovative analytical techniques that improve research quality and investment outcomes Candidate Profile: 1-3 years of relevant work experience on the buy-side ...

cloud, then you’ll fit right in. Some of the skills and experience we look for include: An undergraduate degree in computer science, mathematics, or similar, or a relevant postgraduate degree. A passion for coding, machine learning, open source technologies, and setting the standards for their implementation and adoption. … apply even if you don’t meet all of the requirements. MLOps is an emerging field, which sits somewhere in the intersection of data science, machine learning engineering, and DevOps. We’re excited to speak to candidates from any of these backgrounds; you don’t need an explicit ...

contracts with external recruiting agencies and tooling platforms ensuring cost-efficiency and high-quality segment access. Knowledge & Insights Architecture Systems Integration: Partner with Data Science and Product Analytics to design data flows that connect our research repository with broader data systems. Redundancy Reduction: Audit global research … Future-Proofing: Evaluate new tools against our future growth needs and current integration requirements. Governance & Ethical Workflows Process Formalisation: Design and launch compliant, standardised data handling workflows (e.g., automated anonymisation processes). Ethics Leadership: Formalise and manage an internal Research Ethics Board or review process to ensure high-stakes ...

many more trades. Technology lies at the core of everything the company does, building and improving products that deliver real value fast. This Staff Data Scientist role sits within the central technology organization, where AI and data science drive the long‐term strategy and everyday decision‐making. … What Will You Do? As a Senior Data Scientist at Simply Business, you will partner with cross‐functional teams to build, test and maximise value from models ranging from large language models to classic regression and classification. You will take end‐to‐end ownership of machine learning projects ...

pioneer of the Connected OperationsTM Cloud, a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power … About the role Fuel and energy are among the largest controllable costs any fleet carries, yet most operators still make those decisions with partial data and disconnected tools. Samsara already sees how these fleets actually run and that data is the raw material for a new generation ...

being used to solve complex operational challenges. You'll develop innovative AI capabilities that directly support national security missions, working alongside highly skilled engineers, data scientists and security specialists. This is a hands-on engineering role where you'll contribute throughout the full software lifecycle, from understanding mission requirements ...

technical and non-technical stakeholders, including C‐suite leadership Run workshops, demos, hackathons and knowledge‐sharing sessions internally and externally Collaborate with architects, engineers, data scientists and commercial teams to deliver end‐to‐end AI solutions Drive AI best practices internally and help shape the wider AI capability ...

Consulting is seeking data scientists for its AI Build Team to develop end-to-end ML solutions for production use. You will handle data management, analysis, modeling, and engineering while collaborating with clients and internal teams. Ideal candidates bring hands-on data science experience, strong Python ...

looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and the clinic. … development from day one. Key responsibilities Back end development for a Python web application Integration of AI/ML components with frontend, backend, data and compute infrastructure Responsible for high quality software implementations according to best practices, including automated test suites and documentation Develop, measure, and monitor key metrics ...

with business strategy, regulatory standards, and product innovation goals. Coordinate cross-functional teams in the UK and sometimes multi-nationally including product managers, engineers, data scientists, and SMEs to manage dependencies, risks, and delivery cadence. Establish programme governance, tracking KPIs related to timeline, risk posture, adoption, and quality … across audit domains. As our firm focuses heavily on the adoption of AI in all areas, ensure responsible AI practices, including fairness, explainability, and data governance, are embedded into delivery processes. Due to the nature of the position, you may be working at/visiting a client site ...