976 to 1,000 of 1,855 Data Science Jobs in London

platform, owning end-to-end design and implementation Solve abstract, open-ended problems using modern AI tools and models across the entire data and engineering stack, working closely with a highly capable team Train, evaluate, and deploy models for intelligent document processing, web data parsing, classification, search … matching Design and run experiments to explore new approaches, models, and data usage that improve our agents/LLMs, balancing innovation and pragmatism and clear trade-offs Ensure our AI products evolve quickly and safely by applying strong development and testing practices Continuously improve our data science ...

Kroo Bank is seeking a Data Scientist to build, evaluate, and deploy data science solutions that support strategic decision making and improve customer experiences. You will work on high-impact initiatives across credit risk, fraud, customer engagement, and operational efficiency, partnering with product, risk, operations, compliance ...

About Us Now part of WGSN, the world's leading trend forecaster. IWSR is the global authority on beverage alcohol data and intelligence. For over 50 years, the world's leading drinks businesses have relied on IWSR as an integral part of their strategic planning and decision-making. … unique in how we work: combining proprietary longitudinal market data, consumer insights, and AI-enhanced data science with genuine on-the-ground human intelligence across 160 markets. That combination is what lets us tell our clients not just what the numbers say, but what's actually happening ...

Blue Light Card Ltd in London is seeking a Principal Data Scientist to lead experimentation and product insight, setting standards for tests, learning and scaling. You’ll mentor the Product Data Science team and shape best practice. You’ll partner with Product Managers and Engineering to translate … member behavior into actionable insight, own metrics and data storytelling for executives, and build data products that drive strategy. #J-18808-Ljbffr ...

leading project solutions provider in Greater London is seeking a Data Scientist to develop solutions at the intersection of data science and AI. The ideal candidate will have hands-on experience in analytics, strong Python skills, and familiarity with machine learning technologies. Responsibilities include building analytical models ...

Floor, EC2M 3TP Join the Future of Sports and Entertainment – Senior Analytics Engineer Position Come and join us at Futures where we use data-driven insights to empower and unlock success for our clients.With offices spanning London, New York, and Sydney, we are global pioneers in sport business research … support within project teams. This role is highly challenging and will require advanced analytical capability, strong commercial acumen, and creativity in translating complex data into clear, compelling client narratives and reports.You will be responsible for optimising analytical processes and workflows, identifying efficiencies, and driving continuous improvement, while also working ...

relentlessly resourceful. We challenge the status quo to solve problems and find smarter solutions Build the best technology in-house : we use new data sources, machine learning and AI to make machines do the heavy lifting We\’re looking for a full-stack Python engineer to join our Central … keep pace without relying solely on headcount growth. We make intelligent, pragmatic use of AI where it adds real value, working closely with Product, Data Science and Analytics to deploy solutions that genuinely support our ops agents. You’ll have real ownership from an engineering perspective, shipping features ...

Elliptic is seeking a Senior Software Engineer to join its Product-Engineering team, focusing on data engineering for blockchain analytics. You will design, build and ship the data platform, shaping technical direction to handle large-scale batch and streaming workloads while delivering customer value. The role emphasizes … ownership, collaboration across product and data science teams, and the opportunity to apply AI-driven tooling to improve engineering workflows and platform #J-18808-Ljbffr ...

/or feature designs follow usability principles, accessibility standards, and align with the overall product vision. As part of the wider digital and data science roadmap, will lead the design of user experiences in the software that enable machine learning and AI powered features. Will own the planning … cross‐functional teams. Additional Knowledge & Skills Strong communication skills for presenting research findings, design rationale, and recommendations to stakeholders. Ability to work with data analytics (e.g., heatmaps, behavioural analytics, conversion metrics) to support UX decisions. Familiarity with information architecture, content structure, and interaction patterns across digital platforms. Familiar with ...

systems. You’ll remain hands‐on while tackling complex problems across retrieval, ranking, personalisation, experimentation and two‐sided marketplace optimisation , partnering across Engineering, Product, Data Science and Analytics to turn ambiguous member problems into scalable ML solutions. You’ll lead through technical influence, raise … fine‐tuned Large Language Models (LLMs), alongside sub‐agents, tools and MCP integrations . Architect end‐to‐end ML pipelines, integrating large‐scale data processing technologies such as Spark and Airflow with model training, evaluation, deployment and monitoring workflows. Define and evolve experimentation strategies, including A/B testing ...

delivery Implement observability for AI services (logging/metrics/tracing), model performance monitoring, and quality/drift checks with actionable alerting Partner with data scientists, data engineers, platform teams, and governance/risk stakeholders to ensure end-to-end delivery meets control, auditability, and documentation expectations Translate … management Working knowledge of ML/DL frameworks and tooling (e.g. PyTorch/TensorFlow and the Python ML ecosystem) sufficient to collaborate effectively with data scientists and implement inference pipelines Experience working with complex, multi-layered datasets (including imbalanced data) and integrating data pipelines into AI services ...

delivery • Implement observability for AI services (logging/metrics/tracing), model performance monitoring, and quality/drift checks with actionable alerting Partner with data scientists, data engineers, platform teams, and governance/risk stakeholders to ensure end-to-end delivery meets control, auditability, and documentation expectations Translate … management Working knowledge of ML/DL frameworks and tooling (e.g. PyTorch/TensorFlow and the Python ML ecosystem) sufficient to collaborate effectively with data scientists and implement inference pipelines Experience working with complex, multi-layered datasets (including imbalanced data) and integrating data pipelines into AI services ...

software, tools, and scalable infrastructure Defining and implementing best practices and standards for deploying machine learning at scale across the business Collaborating with engineers, data scientists, product managers, and commercial teams to solve critical client challenges and leverage opportunities Acting as a trusted technical advisor to customers and partners ...

preparation of assay‐ready plates and running of routine cell based assays as and when required. You will liaise with the Software Engineering and Data Science teams to translate wet lab processes into insights using automated data capture and processing pipelines. You will develop automation scripts ...

areas such as trading systems engineering, low-latency C++ strategy development, and high-performance C++ libraries that enable large-scale quantitative research and data processing. You’ll work on the desk side by side with senior developers who understand the nuances of building performant, reliable systems for complex trading … master’s or bachelor’s student in their final year of study, majoring in a quantitative and/or STEM discipline such as computer science, computer engineering, mathematics or data science for example. Clear Communicator: You enjoy building relationships with those you work closely with ...

leading gaming company in London is looking for a Principal Data Scientist to lead high-impact data science initiatives. The role involves building machine learning solutions that drive player engagement and retention. Candidates should have a PhD or MSc and over 5 years of experience delivering data ...

small, focused teams to own delivery of high-stakes integration projects. A day’s work may include architecting API-led connectivity strategies, designing agentic data pipelines, and sitting across from a customer’s executive team to set their AI integration roadmap — but the most impact comes from shipping real … landscape Strong foundation in integration architecture principles — API-led connectivity, process orchestration, application lifecycle management, and security Strong engineering background. Preferred fields include Computer Science, Software Engineering, MIS, Electrical Engineering, Data Science, or equivalent experience Proficiency in at least one coding language (Python, Java, JavaScript, Node ...

that drive client profitability. You will translate business challenges into modelable solutions and deploy advanced ML algorithms. Ideal candidates will have 4+ years in data science, robust skills in Python and SQL, and familiarity with MLOps. Experience in financial services or related domains is a plus. Send your ...

Welltower in London is seeking a Data Scientist to join the team onsite. You will work with US/Canada data science colleagues and UK investment teams to apply machine learning and predictive analytics to real estate assets. The role emphasizes building high-quality prediction systems, analyzing … data from diverse sources, and guiding capital allocation in the UK. PhD or Masters in relevant fields, strong Python/R skills, and excellent communication are required. #J-18808-Ljbffr ...

across Optimizely’s product suite. Conduct rigorous testing and validation of new statistical methods and ensure seamless integration into the platform. Analyze product performance data to optimize existing features and provide actionable recommendations for improvement. Leverage AI agents to deploy new statistical capabilities. Research and Innovation Partner with academic … teams to offer statistical expertise during customer onboarding and key engagements. Serve as a statistical advocate within the organization, fostering a culture of rigorous data-driven decision-making. Collaborate with marketing teams to showcase Optimizely’s statistical capabilities in external communications. Knowledge and Experience 3+ years of industry ...

Zego is hiring a Lead Product Data Scientist to shape how we make our biggest product and commercial decisions. You’ll work with senior leaders across Product, Growth and Operations to decide where to focus and how to measure impact. You’ll build foundations for experimentation, develop customer models … guide production of AI-powered data solutions across teams, helping scale data science across a fast-growing business. #J-18808-Ljbffr ...

core part of Clarity’s platform that turns customer feedback and conversations into actionable insights. This is a unique opportunity for someone passionate about data‐driven experience design, AI analytics, and product strategy in the CX space. Role Overview As a Product Manager for Voice of the Customer … Clarity’s VoC solution. You’ll work cross‐functionally with engineering, design, and AI teams to transform real‐time feedback, surveys, and conversation data into intelligent insights that help businesses understand their customers at scale. You’ll define how organizations collect, interpret, and act on customer sentiment — shaping ...

with senior stakeholders across technology, product, and business divisions Excellent communication skills at all organizational levels Capability to work cross-functionally with architecture, product, data science, proposition, and project management teams Who you’ll be working with Software Engineers, Software Architects, Data Scientists, Product Managers, Project/… next level and make a significant impact, we'd love to hear from you. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture ...

Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables … quality predictive signals. By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities. Share and discuss research results, methodology, data sets and processes with other researchers. Implement the signals and the relevant datasets within the global execution platform. Monitor signal behaviour and model performance ...

Learning Engineer to help build and run production-ready ML systems that make a real impact across the business. You’ll work closely with Data Scientists and engineering teams, shaping the ML roadmap, developing scalable solutions, and driving innovation while growing your career. You’ll make an impact … days a week. Build and automate ML pipelines for feature engineering, model training, and model scoring using Python, PySpark, Databricks, and MLflow. Productionise Data Science models, converting notebooks into modular, tested, production-ready code. Deploy models into batch and real-time environments, managing versioning, promotion, rollback, and scheduled ...