1 to 25 of 148 Permanent Data Science Jobs in Central London

Kick-start your career in Data Science with real-world impact. We’re on the lookout for a Graduate Data Scientist to join our dynamic London-based team and contribute to data-driven solutions that make a difference from day one! In this role, you’ll work alongside experienced data scientists, engineers, and business stakeholders … every day. Whether you're a recent graduate or bringing some early experience, this is your chance to learn fast, think big, and grow with a company that values data at its core. What’s in it for you? 📊 Meaningful Work : Work on real data challenges across forecasting, customer analytics, risk modelling, and business intelligence. 📈 Learning & Development : Structured … support including mentoring, online courses, internal workshops, and the chance to explore the latest tools in data science. 💡 Culture of Innovation : Be part of a collaborative and diverse environment where experimentation is encouraged and ideas are celebrated. 💰 Competitive Package : £35,000–£40,000 starting salary with clear progression pathways and performance-based bonuses. We’re looking for someone who More ❯

Role : Junior Data Scientist Location : London, UK (Hybrid) Salary : £35k-£45k (DOE) Are you passionate about data and finance? Join a revolutionary financial services company in the heart of London, where you'll help over 200,000 businesses across the UK and Europe navigate challenges and boost profitability. My client is looking for a Junior Data Scientist … eager to apply their analytical and modeling skills to provide insight and drive impactful business decisions. Your Responsibilities: Analyse complex datasets: Work with large volumes of financial data to identify trends, patterns, and insights that drive strategic decisions. Support predictive modeling: Collaborate on the development of machine learning models to forecast financial outcomes and optimise business processes. Develop data … solutions: Create algorithms and tools that automate and enhance decision-making across the company. Collaborate with cross-functional teams: Work closely with finance, product, and technology teams to align data science initiatives with business goals. Visualise data insights: Build and maintain interactive dashboards and visualisations that provide clear, actionable insights for stakeholders. Requirements : Bachelor’s degree in More ❯

Principal Data Scientist Up to £125,000 London (Hybrid, 3 days onsite per week) Company: A leading marketing and analytics agency is seeking a Lead Data Scientist to develop and deploy end-to-end AI solutions. You'll work on machine learning models for retention, price optimisation, recommendation engines, NLP, and Computer Vision. Responsibilities: Design, develop, and productionize … production-level code) and other tools like SQL, Spark, and Databricks. Apply clustering, classification, regression, time series modelling, NLP, and deep learning. Develop recommendation engines and leverage third-party data enhancements. Implement MLOps/DevOps practices in cloud environments (AWS, Azure, GCP). Ensure explainability, bias detection, and algorithmic fairness in models. Collaborate with stakeholders to translate business challenges … into data-driven solutions. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong Python skills (bonus: C++, SQL, Spark) Experience in ML algorithms (XGBoost, clustering, regression) Expertise in Time Series, NLP, Computer Vision, MLOps Knowledge of AWS/Azure/GCP, CI/CD, and Agile development Ability to own solutions More ❯

our Level 6 AI Engineer programme. To be successful in this role you must possesses practical expertise in machine learning, with experience across the full lifecyclefrom business scoping and data engineering through to deployment, monitoring, and ethical considerations. Familiar with classical ML techniques (e.g., regression, classification, clustering), as well as deep learning, NLP, transfer learning, and recent advancements in … contextualise these techniques in industry settings, such as financial forecasting, operations optimisation, or customer segmentation. Comfortable with key ML frameworks (such as Scikit-learn, TensorFlow, PyTorch, Hugging Face) and data manipulation tools (Pandas, NumPy), as well as version control, containerisation, and ML deployment pipelines. Understands how to apply MLOps principles in production environments To be successful in this role … maintain scalable, ethical, and production-ready AI systems. Can share personal stories of both success and failure in deploying ML, helping learners understand real-world challenges like stakeholder alignment, data quality, model drift, or technical debt in pipelines. Ideally, has worked in environments where regulatory, ethical, and governance considerations were key (e.g., finance, healthcare, public sector), with experience navigating More ❯

embarking on a multi‐year digital transformation. Implementing new EDI/API connections, enhancing the company’s Transport Management System (TMS), launching an AI‐enabled customer portal, and embedding data‐driven decision‐making across the organisation. Reporting to the CEO (and dotted line to COO/Head of IT) The Technology & AI Projects Manager will own and deliver these … requirements into technical specifications; review solution architecture and ensure alignment with best practices. Guide teams working with JavaScript (Node.js/React), cloud platforms (AWS/Azure/GCP), and data formats (JSON, XML, ANSI X12, EDIFACT). Vendor & Stakeholder Management Select and manage external vendors/SIs; negotiate contracts and SLAs. Facilitate communication between Operations, Sales, Finance, and IT … to ensure solutions meet operational needs. AI & Data Innovation Identify opportunities to apply AI/ML (e.g., predictive ETA, dynamic pricing) and coordinate POCs into production. Governance & Compliance Champion security, data privacy (GDPR), and industry standards; maintain comprehensive project documentation. Budget & Resource Management Own project budgets (£1‐5 m range); forecast resource needs; drive cost/benefit realisation. More ❯

Job Title: Machine Learning Engineer Location: London (1 days per week onsite) - Flexible Salary: £45,000 DOE + Benefits Our Data Analytics business continues to grow and we are now looking for an experienced and technical Machine Learning (ML) Engineer to join one our offices with hybrid or remote UK working. This is an exciting role and would most … also provide wider ranging support to insurance companies in the life and bulk annuities sector. The Team The client is a specialist and multi-disciplinary team consisting of actuaries, data scientist and developers. Our role in this mission is to pioneer advancements in the field of pensions and beyond, leveraging state-of-the-art technology to extract valuable and … for designing, deploying, maintaining and refining statistical and machine learning models using Azure ML. Optimize model performance and computational efficiency. Ensure that applications run smoothly and handle large-scare data efficiently. Implement and maintain monitoring of model drifts, data-quality alerts, scheduled r-training pipelines. Data Management and Preprocessing. Collect, clean and preprocess large datasets to facilitate More ❯

sustainable business performance Transforming organisations and develop future sport leaders Driving increased and more effective funding into sport Achieving lasting positive change in society Overview We are expanding our Data & AI team and are looking for a Senior Data Scientist to join the team. You will lead analytical workstreams on client projects, help productionise workflows and mentor more … making across sporting performance, commercial and operations. We are looking for someone proactive, excited by the opportunity of working in a growing team, and who loves sport. Responsibilities: Lead data science workstreams on client projects, managing analysts and collaborating with consultants Develop and deploy statistical models and core IP Build reusable tools to streamline analysis and visualisation Communicate More ❯

Data Engineer London/Hybrid Circa £90k + bonus + benefits Azure, Lakehouse, SQL We’re looking for a Data Engineer with strong hands-on experience in data management and Azure technologies, ideally with a background in MGA or (re)insurance environments. You’ll help design, build, and enhance a strategic Data Lakehouse platform to support … role that requires attention to detail, the ability to manage multiple projects, and a collaborative approach to working with regional and group teams. Key Responsibilities: Develop and maintain scalable data solutions on Azure (ADF, Databricks, Synapse, etc.) Maintain and enhance the integrity of the Data Lakehouse in partnership with regional and group data teams. Partner with analytical … and reporting teams to ensure data is presented accurately for performance insights. Ensure best practices in data governance, quality, and security Collaborate with business analysts, data scientists, and stakeholders across underwriting, finance, and ops Contribute to solution design, development assurance, and platform evolution Support delivery of data models, APIs, ML integrations, and reporting tools Key Skills More ❯

Chief Data Scientist Up to £120,000 West London (Hybrid, 3 days onsite per week) Company: This data-first property tech startup empowers businesses to make smarter decisions by turning complex data into clear, actionable insights. Leveraging rich UK property data and advanced data science, they provide deep customer insights, predict behaviour, and enable … hyper-targeted marketing. Responsibilities: Lead the organization’s data science initiatives, developing advanced analytics strategies, and driving innovation through AI and machine learning Develop and implement the company’s data science strategy to drive business growth. Stay ahead of emerging trends in data science, AI, and big data technologies. Challenge the status quo … and always look for ways to improve data science Oversee the development, deployment, and optimisation of AI/ML models. Partner with business leaders to identify key challenges and opportunities. Requirements: PhD or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field Proven leadership experience in a data science More ❯

Data Scientist - Marketing/Customer Analytics London/Reading– Hybrid (2 days in London, 1 day in Reading) (Flexi Hours) Up to £60,000 + Benefits About the Role A leading research and insights company is looking for a Data Scientist to join their growing team. With a strong focus on data-driven decision-making, they help … brands across entertainment, tech, sports, and consumer goods maximise their marketing impact. You’ll be part of a collaborative Data Science team, working on large-scale datasets, building machine learning models, and delivering actionable insights for high-profile clients. Key Responsibilities Lead the development of solutions for complex client challenges, defining clear success criteria. Support and mentor junior … expectations. Develop and deploy ML models, applying innovative approaches beyond basic feature engineering. Use Python, SQL, and Tableau for reporting and analysis within an AWS environment. Work closely with Data Engineering, Sales, and Market Research teams across the UK, US, and India. What We’re Looking For Experience in Data Science, with a proven track record of More ❯

Junior Data Scientist – Master’s Graduate Role Location: London (Hybrid) Salary: £35,000 – £45,000 + Bonus + Benefits Start Date: ASAP About the Opportunity: We are seeking an ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machine learning, and applied AI. … to apply their academic expertise to solving real-world challenges—whether it’s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing … and building machine learning models to solve real-world problems Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and AI techniques to generate actionable insights Contributing to experimental research, model prototyping, and A/B testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating More ❯

and tech leaders, the company specialises in automated credit decisioning, embedded finance, and next-gen lending platforms . As part of this expansion, they’re looking for an experienced Data Scientist to join their fast-paced, agile environment on a 6-month hybrid contract . Key Responsibilities: Design and deploy machine learning models for risk scoring, customer segmentation, and … trends and support product and credit teams Develop custom statistical models for portfolio analysis and performance forecasting Collaborate cross-functionally with engineering, product, and analytics teams Contribute to scalable data pipeline and feature store development Requirements: 3+ years of experience as a Data Scientist in a commercial setting Strong skills in Python, SQL , and machine learning libraries (e.g. … scikit-learn, XGBoost, etc.) Familiarity with cloud platforms (e.g., AWS, GCP) and version control (e.g., Git) Experience working with financial or transactional data is a plus Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field Prior experience in a start-up or scale-up preferred More ❯

Chief Data Scientist London – Hybrid (3 days a week in Chelsea) Up to £120,000 + Benefits The Opportunity We are excited to be working with a long standing partner of ours on a new Chief Data Scientist position. You will be joining an organisation where data drives strategic decision-making within the property space. You’ll … lead the data science vision while remaining hands-on with AI and machine learning initiatives that have real business impact. This is ideal for someone who enjoys blending leadership, strategy, and technical depth. This would be a great opportunity for someone looking to take a step up in their career - I.e. Someone at the Principal, Manager, Head of … Data Science level. Key Responsibilities Define and deliver the data science strategy to unlock business value. Identify AI/ML opportunities and develop impactful, scalable solutions. Lead and mentor a cross-functional team of scientists and engineers. Stay hands-on where needed, guiding model design, code reviews, and architecture decisions. Promote ethical, responsible AI and ensure More ❯

Are you a curious and driven AI/ML enthusiast ready to transform commercial strategy with data science? We’re looking for an AI/ML Analyst - Pricing & Commercial Strategy to join our dynamic team and play a pivotal role in shaping smarter pricing, deal governance, and business performance through cutting-edge machine learning. In this hands-on … role, you’ll develop models that drive pricing optimisation, margin forecasting, and deal scoring. Turning data into actionable insights for high-stakes commercial decisions. From regression and clustering to time series forecasting, you’ll apply advanced techniques to real-world datasets and see your work directly impact strategy. Whether you're an early-career professional or bringing … years of experience, this is your chance to grow alongside a forward-thinking team that’s redefining how data powers business success. What’s in it for you? Impactful AI/ML Projects: Build models for pricing optimisation, customer segmentation, and deal prioritisation that drive real business outcomes. Cross-Functional Collaboration: Work with sales, finance, and pricing teams to More ❯

frameworks that enhance the efficiency of our predictive models, reducing deployment times, increasing scalability, and improving model performance through regular updates and monitoring. You will work closely with the Data Scientists and Product team to deliver scalable, production-grade ML systems. This is a super exciting time to join the business who after a number of years of great … model lifecycle tooling (deployment, monitoring and alerting) for our predictive models (for example claims cost, conversion, retention, market models) Maintain and improve the development environment (Kubeflow) used by the Data Scientists Develop and maintain pricing analytics tools that enable faster impact assessments, reducing manual work Collaborate with the technical pricing, street pricing and product teams to gather requirements and … tooling and to build impactful technology Communicate complex concepts to technical and non-technical stakeholders through clear storytelling Required Skills Education: Bachelor’s or Master’s degree in Statistics, Data Science, Computer Science or related field Experience: Proven experience in ML model lifecycle management ● Core Competencies: Model lifecycle: You’ve got hands-on experience with managing the More ❯

Senior Data Scientist Behavioral Credit Modelling Hybrid working London offices Up to £75,000 DOE + Benefits Ref: J12979 Working with a consumer finance company that’s changing the way credit’s done. Fairer, simpler, and powered by data. Think challenger fintech with a real focus on transparency and impact. The role You’ll take full ownership of model … ML models that directly influence decisions across underwriting, fraud, and customer conversion. It’s hands-on, end-to-end, and you’ll be working with both structured and unstructured data in a fast-moving, collaborative team. What we’re looking for Strong Python (pandas, sklearn, etc.) and advanced SQL Experience building behavioural or credit models Solid understanding of ML … algorithms (not just how to run them) Clear communicator across tech and non-tech teams Awareness of data drift and model monitoring Amazing visualization skills; ideas need to land Bachelor's degree in computer science, Mathematics, Statistics, or related field Bonus points for Credit card or consumer finance experience Exposure to deep learning (Keras, TensorFlow) Git, Tableau, Bitbucket More ❯

Senior Data & Analytics Consultant - Tech For Good - Up to £70k + Bonus Location: London - Hybrid Use Data to Drive Social Impact and Transform Public Services This scaling tech for good are on a mission to reduce societal inequality by helping local authorities use data more effectively. Their AI-driven platform empowers frontline workers with the insights they … to prevent complex issues like homelessness or children being taken into care - before they happen. Looking to grow by 30% this year they are looking to hire multiple Senior Data & Analytics Consultants to join the team. The Role As a Senior Data & Analytics Consultant, you will be a key member of the Data & Analytics Consulting team, responsible … for the technical configuration and deployment of the platform. Working directly with clients to deliver seamless software implementation, data extraction, data engineering, data science, product configuration, and data visualisation. You will independently manage all technical aspects of client deployments and support clients throughout the process. Collaboration is essential - you will work closely with Business Consultants More ❯

An exciting opportunity has arisen to join a well established organisation in the insurance space, in a challenging Data Engineer role. There will be a lot of stakeholder engagement, so the ideal candidate will have both hands on and business facing experience. Preferably in the insurance sector. Key responsibilities: Design Data Lake and Data Warehouse solutions. Design … Data Models using Data Vault and Dimensional modelling methods Implement automated, reusable and efficient batch data pipelines and streaming data pipelines Work closely with Governance and Quality teams to ensure metadata, catalogue, lineage and known solutions to data issues are optimised Work closely with other data specialists and technicians in the organisation, such as … Actuarial and Finance, to help with their data presentation requirements and help deliver data for visualisation solutions, such as Power BI Key skills required: Expertise in Python, Java, Scala, or other programming languages used to build data pipelines, implement data transformations, and automate data workflows. Strong knowledge of Power BI Strong SQL experience. Familiarity with More ❯

a global impact, and ready to excel in a dynamic, high-energy environment. Join our team and help shape the future of AI. 🌎 Location and Legalities This full-time Data Scientist position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics does not provide … visa sponsorship. 🚀 What You'll Do As a Data Scientist at Ultralytics, you will analyze vast datasets to drive model improvements, uncover key insights, and shape the future of our products, including the state-of-the-art Ultralytics YOLO models and Ultralytics HUB. Key responsibilities include: Performing deep statistical analysis on model performance across various benchmarks and datasets to … identify areas for improvement. Designing and implementing advanced data augmentation strategies to enhance model robustness and generalization. Analyzing user and model telemetry from sources like Google Analytics and MongoDB to understand user behavior and guide product development. Collaborating with the engineering team to refine model training and evaluation pipelines, ensuring data quality and integrity. Developing and maintaining dashboards More ❯

Job Role : Data & Applied Intelligence Strategy Manager Location : London Career Level: Manager As a team: Data & AI, the people who love using data to tell a story. We’re also the world’s largest team of data scientists, data engineers, and experts in machine learning and AI. Our focus is on big problems using the … latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds? You'll learn … the opportunity to develop a wide range of new skills on the job. In this role you will: Join our team of strategic thinkers who are passionate about leveraging Data, AI, and GenAI to drive transformative change. We are dedicated to helping organisations navigate the complex landscape of Data & AI. Our mission is to empower businesses across various More ❯

collaborate with top talent and work on exciting campaigns for prestigious brands such as the Financial Times, The Independent or Experian. This is a pivotal role for an experienced data scientist or marketing analyst ready to drive real-world business outcomes across growth marketing, CRM, media optimisation, and beyond. Get a better feel for who we are on our … website: https://indigital.marketing/Who we’re looking for – at a glance: Expert in marketing-focused data science, comfortable developing LTV, attribution, and propensity models Hands-on experience building robust data pipelines, BI dashboards, and clean reporting layers Passionate about connecting the dots between data, customer behaviour, and strategic decisions Skilled communicator with experience … looking for someone with deep skills in some areas, and interest in learning others. The full scope of the role will flex depending on your strengths. Key responsibilities: Modelling & Data Science: Develop LTV, propensity and attribution models to support growth, customer experience, and paid media Build MMM and bespoke models in response to client needs Ensure outputs are More ❯

You’ll Work With You will work in our McKinsey Transformation Client Capabilities Network in EMEA and will be part of our Wave Transformatics team. Our Transformatics team builds data and AI products to provide analytics insights to clients and McKinsey teams involved in transformation programs across the globe. The current team is composed of data engineers, data scientists, PMs and tech leads who are spread across several geographies. The team covers a variety of industries, functions, analytics methodologies and platforms – e.g. Cloud data engineering, advanced statistics, machine learning, predictive analytics, MLOps and generative AI. What You’ll Do You will collaborate closely with a team comprising data scientists, data engineers, product developers, and … analytics-focused consultants. As a data savvy Business Analyst, you will bridge the gap between business needs and technology solutions and be responsible for understanding business objectives and requirements, and work with both business stakeholders and technical teams to develop and implement effective solutions, and generate new types of insights. By doing so you will help bring advanced analytics More ❯

DATA SCIENTIST LONDON (HYBRID - 3 Days Per Week) UP to £60,000 COMPANY: This company is a global leader in Customer Data Science, who work across customer analytics and loyalty working as a consultancy services giving you’re the opportunity to work with market leading business & retailers! They are looking for a Data Scientist to join … their Data Science team! RESPONSIBILITIES: Work on designing and building advanced ML models - including propensity and clustering Apply machine learning, statistical, and econometric methods to a range of other customer data science problems Working closely within a team to understand, troubleshoot, and maintain machine learning models Maintain and enhance existing ML models, ensuring all models are … monitored. Stay updated with the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements REQUIREMENTS: PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Proven experience in clustering and propensity Strong coding skills in Python, R or MATLAB Excellent communication skills Knowledge of databases and SQL More ❯

Senior Applied Data Scientist – Promotions & Retail Analytics Global Data Science Consultancy 📍 London hybrid working 3 days in office 💸 £65k - £75k plus bonus 💼 Retail-Focused Data Science A global leader in customer data science is expanding its UK-based team and is looking for an experienced Senior Applied Data Scientist to lead the … the future of promotional planning through cutting-edge analytics, advanced modelling, and customer-first insights that drive tangible change at scale. 🚀 What You’ll Be Doing: Design and deploy data science models for promotional strategy and price optimisation. Work closely with commercial and product teams to deliver scalable solutions at pace. Collaborate with client stakeholders and internal R … D on real-world retail challenges. Drive innovation within an experienced data science team of 30+ specialists. ✅ What You’ll Need: 5–7 years’ experience applying data science to business problems. Educated to at least degree level in Statistics, Mathematics, Machine Learning, Computer Science, Chemistry, Physics, Economics or related field. Advanced skills Python and SQL More ❯

Senior Data Scientist Up to 70,000 London (Hybrid, 2 days onsite per week) Company: Join a performance marketing and data consultancy that partners with high-growth businesses to scale smarter through data-driven strategy and execution. They combine technical expertise with deep commercial insight and specialise in Paid Search (PPC), Conversion Rate Optimisation (CRO), and Data Engineering. Responsibilities: Own and shape the data science function, setting standards for excellence in machine learning, optimisation, predictive analytics, and experimentation. Lead high-impact projects across areas like customer segmentation, CLV modelling, bidding optimisation, and advanced measurement techniques. Work closely with marketing specialists, analysts, and engineers to deliver end-to-end performance marketing solutions. Apply data science expertise to solve real-world digital marketing challenges, driving smarter budget allocation and measurable outcomes for clients. Requirements: Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field Proficient in Python (core skill), with strong experience in SQL Proven track record of applying analytics in digital media, technology, or consumer More ❯