101 to 125 of 188 Data Science Jobs in Central London

customers, and establish TCS as #1 leader in the Digital Interactive space. Design the technical backbone that powers real-time, personalised customer experiences. Connect data, platforms, and strategy to unlock scalable, intelligent marketing. Architect solutions that turn complex customer journeys into seamless brand interactions. The Role As a MarTech … Technical Architect , you will design enterprise-grade, multi-product MarTech solutions that integrate customer data, campaign orchestration, and analytics. You will create blueprints, integration patterns, and data architectures that enable real-time personalization and scalable marketing operations. Your responsibilities: Lead the technical solution design for multi-platform implementations ...

Data Scientist (Sports Analytics Football Focus) Were excited to be partnering with a new client a rapidly growing sports data consultancy that is extending its Data Science team. This is a fantastic opportunity to join a business at the cutting edge of football analytics, where … data is transformed into actionable insights that drive smarter, evidence-based decisions for clubs, organisations, a click apply for full job details ...

Description Project Description: We're seeking a highly skilled and motivated Senior Data Engineer to join our growing data team. In this role, you'll architect and maintain robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work … with cutting-edge technologies like Python, PySpark, AWS EMR, and Snowflake, and collaborate across teams to ensure data is clean, reliable, and actionable. Responsibilities: - Build and maintain scalable ETL pipelines using Python and PySpark to support data ingestion, transformation, and integration - Develop and optimize distributed data workflows ...

develop machine learning models to address key business challenges in the insurance sector. Collaborate with the analytics team to identify opportunities for leveraging data-driven solutions. Deploy machine learning algorithms into production environments efficiently. Optimise model performance and ensure scalability for large data sets. Analyse and interpret data to provide actionable insights for stakeholders. Stay updated with the latest advancements in machine learning and data science technologies. Document processes and create clear, concise technical reports. Support team members in the implementation of data-driven strategies. Profile Machine Learning Engineer A successful Machine Learning Engineer ...

scaling the organisation as they look to move towards their Series A. Please only apply if you have a Masters + in Computer Science What you’ll do Build and fine-tune AI models (LLMs and transformer-based architectures). Work directly with customers to integrate and test … client feedback to enhance product performance. Take part in design and architecture discussions. About you Master’s or PhD in AI, Machine Learning, Data Science, or Computer Science (Russell Group or similar). Strong Python skills (Pandas, NumPy). Experience or exposure to NLP, transformers, and LLMs. ...

forecasting models, and scalable API platforms. Key Responsibilities Own the technical strategy and execution across the company’s core products, including real-time APIs, data pipelines, and LLM-powered analytics. Collaborate closely with Product and Data Science to deliver a forward-thinking technology roadmap. Lead, mentor … high-performing engineering team (currently ~10), nurturing a culture of ownership, speed, and technical excellence. Make key architectural decisions, ensuring system scalability and data infrastructure performance. Maintain high engineering standards while remaining close to critical technical choices. Recruit top talent and build a strong, inclusive team culture. Oversee DevOps ...

want to work on interesting data problems to drive commercial value? Have you taken models from prototype to production in messy, real-world environments? Are you ready to work with senior stakeholders in private equity portfolios? We’re hiring for a fast-growing, London-based investment-focused AI firm … that partners with private equity and investment groups to embed data science and machine learning into portfolio companies. Backed by recent investment and partnered with leading European PE firms, the business is scaling its deployment team to deliver measurable value across diverse industries. This Senior Data Scientist ...

fostering a culture of trust, inclusion, and technical excellence. Architect and deliver a bespoke fraud detection and transaction monitoring platform using modern cloud and data technologies. Collaborate closely with product, data science, and financial crime experts to define the technical strategy and vision. Champion engineering best practices … experience, with a genuine commitment to team growth and wellbeing. Strong hands-on skills in: AWS (or equivalent cloud platforms) Python/PySpark for data engineering and automation TypeScript, Node.js, React.js for full-stack development Solid grasp of distributed systems design, secure coding, and data privacy principles. Familiarity ...

client, a global asset management firm is seeking to hire an ESG Data Scientist to join their Sustainable Research team. This role will play a key part in developing the tools, infrastructure and analytics that drive the firm’s ESG and sustainability capabilities. Key Responsibilities: Build analytics tools … machine learning models to assess ESG and sustainability characteristics of companies Design and implement scalable, high-performance sustainability data systems and infrastructure Develop, maintain and enhance dashboards and tools for investment teams Build data pipelines integrating multiple sources into a unified, high-quality and trusted data environment ...

media plans, working closely with external media partners. Communicate findings through clear, impactful storytelling tailored to senior stakeholders. YOUR SKILLS: Experience in Marketing Analytics, Data Science, or a similar analytical role. Strong knowledge of statistical modelling, including regression techniques, MMM, and A/B testing. Proficiency … familiarity with modern data warehousing platforms (e.g., Snowflake). Strong capability in Python or R for analysis, modelling, and automation. Skilled in data visualisation tools such as Looker or Tableau. Excellent communication skills with the ability to simplify complex findings and deliver strategic recommendations. Proven ability to manage ...

Principal Data Modeler Location: Shoreditch (3 days per week onsite) Salary: £90,000 - £120,000 + benefits The Company We’re partnering with a leading UK management consultancy with a strong reputation in data and architecture across global financial institutions. Their data practice has over 300 specialists … offering a real opportunity to lead, influence, and make a commercial impact on major client programmes. The Role: As a Principal Data Modeler, you’ll sit at the intersection of technical delivery and client leadership. You’ll define and implement data modelling strategies for enterprise clients, guide delivery ...

Senior Data & AI Scientist | Up to £80,000 + 10% Bonus | Hybrid (London 3 days) Are you passionate about shaping the next generation of AI-powered products? Join a dynamic, fast-moving business that’s embedding AI into everything from customer interactions to internal tools. We’re looking … experienced Data & AI Scientist to help drive innovation across cutting-edge AI initiatives — from chatbots and voice assistants to advanced retrieval-augmented generation (RAG) systems and agentic workflows. The Role You’ll work closely with the AI Engineering and Data Science teams to: Develop and prototype ...

Junior Applied Scientist London — Onsite Our client are building context-aware agentic systems that augment data science, software, and product teams inside large enterprises. The systems reason over complex organisational data, take multi-step actions, and integrate deeply with existing business workflows. We are now expanding … Applied Science team and are looking for exceptional early-career researchers who want to work on cutting-edge ML in a fast-moving product environment. This role is ideal for candidates finishing (or recently completing) a PhD at a top university, with a research track record at leading ...

scale cutting-edge digital solutions. This is a chance to work on greenfield projects - building new, scalable products that help venues create seamless, data-driven guest experiences from the ground up. What will I be doing? Design, develop, test, and maintain high-performance backend systems supporting real-time hospitality … features throughout the software development lifecycle - from technical design through to deployment and ongoing optimisation. Collaborate with cross-functional teams including product, design, and data science to deliver innovative, customer-focused solutions. Work with modern technologies such as Python, Django, Cloud Firestore, BigQuery, and Elasticsearch to deliver scalable ...

event-driven architectures (Event Mesh). Experience designing and implementing secure, scalable, and high-performing enterprise solutions in hybrid cloud environments. Familiarity with data science and AI programming languages (Python preferred), and the ability to operationalize AI models within SAP landscapes. Ability to collaborate with business and functional ...

team modernises the application with new features and functions to enrich the users' experience, as well as implementing research from our in-house data science team at scale. This is an opportunity to be a key part of a team that works on modern, cloud native infrastructure ...

team modernises the application with new features and functions to enrich the users' experience, as well as implementing research from our in-house data science team at scale. This is an opportunity to be a key part of a team that works on modern, cloud native infrastructure ...

Report to the CTO and Head of Data Science in this global commodity trading house. The team is in place to bridge the gap between front office analytics and the wider IT team – You’ll be the architect and go-to person within a team of data … engineers and DevOps engineers supporting architectural decisions, technical direction and stakeholder interactions, likely traders and analysts. Your likely experience is 8 years+ in a data engineering setting and likely making the jump from a lead engineer into something like this - As this team is currently growing, direct reports could ...

resolution. Applies and contributes to creative thinking or finds new ways to complete tasks. Skills & Experience: Bachelor’s degree in Business, Information Systems, Computer Science, or a related field. (Preferred) 3+ years of experience as a Business Analyst or in a similar role. Proven experience working in agile environments … work in a fast-paced, collaborative environment. Desirable skills: Certification in Business Analysis (e.g., BCS or PMBOK). Experience in Defence Familiarity with data analysis, reporting tools, or SQL is a plus. About Peregrine We build workforces that deliver tech and change programmes at leading UK organisations. By combining ...

Data Engineering Team Lead - Remote - Databricks - Azure - 80k Join a Leading Microsoft Consultancy Driving Data Innovation I'm working with a well-established Microsoft Partner with an incredible project pipeline, rapid growth, and a reputation for delivering Tech for Good. They're working on cutting-edge projects using … emerging technologies like Microsoft Fabric and Azure Databricks. We're looking for a Data engineering team lead who combines hands-on technical expertise with leadership skills to mentor a talented team and deliver exceptional solutions for our clients. What You'll Do Lead and mentor a team of Technical ...

MLOps engineers, fostering collaboration, high performance, and personal growth. Define and deliver the MLOps roadmap, aligning closely with the wider engineering and data strategy. Provide guidance on architecture, tooling, and best practices for ML pipelines, deployment, monitoring, and incident management. Partner with data science, ML, and product ...

MLOps engineers, fostering collaboration, high performance, and personal growth. Define and deliver the MLOps roadmap, aligning closely with the wider engineering and data strategy. Provide guidance on architecture, tooling, and best practices for ML pipelines, deployment, monitoring, and incident management. Partner with data science, ML, and product ...

MLOps engineers, fostering collaboration, high performance, and personal growth. Define and deliver the MLOps roadmap, aligning closely with the wider engineering and data strategy. Provide guidance on architecture, tooling, and best practices for ML pipelines, deployment, monitoring, and incident management. Partner with data science, ML, and product ...

technical team and collaborating with third-party developers. Key Responsibilities: Lead the design and delivery of scalable, cloud-based systems that power real-time data and analytics Oversee and guide the development teams, including trusted external partners Implement and maintain secure, scalable cloud environments Stay hands-on across … NoSQL Essential Experience: 5+ years experience in Cloud Architecture & DevOps Experience designing and implementing secure systems Leadership experience Desirable Skills: Exposure to real-time data environments Interest in IOT, Electronics or wearable technologies Understanding of data science and machine learning principles Lead Solutions Architect - AWS Oscar Associates ...

tools such as Balsamiq, Mockplus, MS Visio Fundamental knowledge of Agile and exposure in Agile software development environment/projects Knowledge of Analytics and data science domain is a plus Comfortable documenting user stories and having solutioning experience Strong business, analytical and problem-solving skills Strong verbal/ ...