326 to 350 of 535 Data Science Jobs in Central London

Senior Threat Detection Analyst Permanent | Hybrid We’re looking for an experienced Threat Detection Senior Analyst to join a global leader in data science and customer insights. The team supports some of the world’s most recognized brands, using data to drive smarter business decisions, and ensuring that data stays secure is central to everything they More ❯

embedding, retrieval augmented generation, and generative AI. Provide strategic input on AI architecture and scalable deployment strategies. Collaborate with cross-functional teams to build intelligent systems that autonomously analyze data and generate actionable insights. Stay ahead of the curve by contributing thought leadership in emerging AI technologies, including large language models and generative AI. Required Skills & Experience: Bachelor’s … or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related STEM field. 5+ years of hands-on experience in data science and AI engineering. Proven track record of delivering AI software and deploying solutions in production. Strong proficiency in Python and libraries such as PyTorch, TensorFlow, Scikit-Learn, Keras, Numpy, Pandas, Langchain, Pinecone, and More ❯

is not just another tech job, it’s a chance to shape the direction of the due diligence industry with our market-leading product. Whether you’re in engineering, data science, product, AI/ML or infrastructure, you’ll be solving hard, high-impact problems: scaling distributed systems to fuel explosive growth, making sense of multilingual and unstructured … data, applying AI/ML to real-world risk, and delivering insights that organisations can trust in high-stakes environments. We’re scaling fast with more customers, more releases, bigger regulatory challenges and a growing expectation that “due diligence” means not only real-time insight, but conducted at pace and cost-efficiency. You won’t just be shipping features More ❯

is not just another tech job, it’s a chance to shape the direction of the due diligence industry with our market-leading product. Whether you’re in engineering, data science, product, AI/ML or infrastructure, you’ll be solving hard, high-impact problems: scaling distributed systems to fuel explosive growth, making sense of multilingual and unstructured … data, applying AI/ML to real-world risk, and delivering insights that organisations can trust in high-stakes environments. We’re scaling fast with more customers, more releases, bigger regulatory challenges and a growing expectation that “due diligence” means not only real-time insight, but conducted at pace and cost-efficiency. You won’t just be shipping features More ❯

that underpins one of the world’s most advanced digital R&D ecosystems. 💡 Why this role? Lead the product strategy and roadmap for platform services enabling AI, ML, and data-driven science. Build and mentor a team of high-performing Product Managers , setting standards for excellence and delivery. Collaborate with engineering, data science, and research leaders to … ensure platforms scale securely and efficiently across global teams. Shape the vision for the Onyx Research Data Platform , a foundational capability driving next-generation innovation. Hybrid flexibility – 2 days per week in the London office , balance your week remotely. 👩 💻 What you’ll be doing: Defining and executing the platform product roadmap across compute, DevOps, and cloud infrastructure. Partnering with … years’ experience in product management, with a strong track record of delivering internal platform or developer-focused products. Deep understanding of cloud computing, infrastructure-as-code, DevOps tooling , and data/AI platforms. Hands-on experience with one or more of: AWS, Azure, GCP, Kubernetes, Terraform, Databricks, or Vertex AI . Proven ability to collaborate with engineering and research More ❯

that underpins one of the world’s most advanced digital R&D ecosystems. 💡 Why this role? Lead the product strategy and roadmap for platform services enabling AI, ML, and data-driven science. Build and mentor a team of high-performing Product Managers , setting standards for excellence and delivery. Collaborate with engineering, data science, and research leaders to … ensure platforms scale securely and efficiently across global teams. Shape the vision for the Onyx Research Data Platform , a foundational capability driving next-generation innovation. Hybrid flexibility – 2 days per week in the London office , balance your week remotely. 👩 💻 What you’ll be doing: Defining and executing the platform product roadmap across compute, DevOps, and cloud infrastructure. Partnering with … years’ experience in product management, with a strong track record of delivering internal platform or developer-focused products. Deep understanding of cloud computing, infrastructure-as-code, DevOps tooling , and data/AI platforms. Hands-on experience with one or more of: AWS, Azure, GCP, Kubernetes, Terraform, Databricks, or Vertex AI . Proven ability to collaborate with engineering and research More ❯

Software Engineer to help build and 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 operations. Take ownership of … key 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, reliable software. Contribute to continuous improvement by identifying opportunities … to enhance system architecture and code quality. Participate in code reviews, mentoring, and knowledge sharing to maintain engineering excellence. What do I need to be successful: Degree in Computer Science or equivalent industry experience. 3+ years' experience in backend software development within a fast-paced, agile environment. Strong proficiency in Python (or similar modern backend language) and experience building More ❯

Company This BioAI startup is developing next-generation diagnostic technologies for bloodstream infections using cutting-edge machine learning and DNA sequencing. The team combines expertise across genomics, microbiology, and data science to accelerate how infectious diseases are detected and treated. Having built a strong foundation in both lab and data infrastructure, the company is now expanding its … The Role We’re hiring a Machine Learning Engineer to lead the development of a bacterial genome anomaly detection system - building bespoke algorithms that identify unusual patterns in genomic data and support the company’s mission to prevent incorrect antibiotic prescriptions. You’ll design and test novel ML methods using foundational pre-trained genomic embeddings and custom anomaly-detection … architectures , turning proprietary data into interpretable, high-impact models. This is a deep research role: success will come through rapid iteration, creativity, and scientific curiosity rather than polished productisation. It’s well suited to someone who thrives in a small, autonomous team, enjoys experimental algorithm development, and wants their work to have measurable real-world impact. What You’ll More ❯

Contract Data Analyst – 3 Months (Strong Likelihood to Extend/Convert) | Outside IR35 💻 Remote/London - Some Office requirements throughout 💸 £350 - £375 per day ⚙️ SQL, Python, Excel Burns Sheehan are working with a business looking for a Contract Data Analyst to work alongside a Data Scientist, helping turn data into actionable insights that inform product enhancements … and new data-led initiatives. This is an insight-focused role rather than a reporting-heavy position, so strong technical and analytical skills are essential. You’ll be responsible for: Assessing, profiling, and QA’ing datasets to identify patterns, gaps, and opportunities Partnering with the Data Scientist to surface actionable insights Translating business questions into analytical work and … presenting clear data “stories” to stakeholders Collaborating with BI, Product, and Data Engineering teams to influence product and business decisions What we’re looking for: Excellent SQL and strong Excel skills Intermediate Python experience; exposure to MS BI stack is a plus Ability to communicate complex analysis clearly and manage stakeholders effectively Broad analytical experience, comfortable bridging technical More ❯

Contract Data Analyst – 3 Months (Strong Likelihood to Extend/Convert) | Outside IR35 💻 Remote/London - Some Office requirements throughout 💸 £350 - £375 per day ⚙️ SQL, Python, Excel Burns Sheehan are working with a business looking for a Contract Data Analyst to work alongside a Data Scientist, helping turn data into actionable insights that inform product enhancements … and new data-led initiatives. This is an insight-focused role rather than a reporting-heavy position, so strong technical and analytical skills are essential. You’ll be responsible for: Assessing, profiling, and QA’ing datasets to identify patterns, gaps, and opportunities Partnering with the Data Scientist to surface actionable insights Translating business questions into analytical work and … presenting clear data “stories” to stakeholders Collaborating with BI, Product, and Data Engineering teams to influence product and business decisions What we’re looking for: Excellent SQL and strong Excel skills Intermediate Python experience; exposure to MS BI stack is a plus Ability to communicate complex analysis clearly and manage stakeholders effectively Broad analytical experience, comfortable bridging technical More ❯

a proactive approach to identifying and resolving issues. The successful candidate should have a deep understanding of the Marketing Effectiveness and analytics industry, with specific knowledge of MMM methodologies, data requirements, and interpretation of model outputs. They should be up to date with the latest trends and developments in marketing measurement. They should be able to interpret complex data … recommendations. The Senior Client Success Director should be a team player and possess effective communication and interpersonal skills to collaborate effectively with cross-functional teams, including dedicated analytics and data science teams. Key Activities & Accountabilities Drive optimal client project processes for work delivery and client satisfaction, specifically for projects involving advanced analytics and MMM. Deliver high-quality client … discussions on MMM results and their implications. Support with client growth initiatives and new business pitches, showcasing Gain Theory's analytical capabilities and MMM expertise. Cross-collaboration with analytics, data, and ops team members to ensure a well-functioning squad with high levels of satisfaction, acting as a key liaison between clients and the analytical delivery teams. Maintains a More ❯

front office team to develop and manage advanced analytics solutions, pricing algorithms, and risk management tools using KDB+. Required Skills & Qualifications: Higher Education (Degree or equivalent) in Computer/Data Science, Maths, Physics, or Engineering. Solid experience with Q/KDB+ in creating and managing large KDB stacks. Proficient in UNIX OS and understanding of software development life … cycles and Agile methodologies. Desirable: Experience with data visualisation tools like Altair Panopticon or Power BI, and front office knowledge of the FX business or quantitative finance. Day-to-Day Responsibilities: Collaborate closely with the FX front office team to understand requirements and develop user analytics and solutions that aid in MIS, pricing/trading algorithms, and ultimately P … L. Prototype solutions rapidly in an agile environment with frequent demands from front office teams. Analyze and manipulate large data sets in a high frequency, low latency environment. Provide technical design, architecture, and infrastructure expertise to expand the KDB+ footprint within the bank. Participate in all aspects of product delivery including design documentation, functional specifications, unit testing, and component More ❯

Our 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 and 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 Collaborate with investment and technology teams to prototype new metrics and deploy AI-driven insights that enhance ESG integration … and sustainability performance measurements Monitor and improve data quality, investigating and resolving data issues Engage with internal stakeholders across the firm to understand business needs and translate them into technical solutions Contribute to vendor evaluations and development of data governance standards Candidate Requirements: Minimum 4 years of experience in a Data Scientist, Quantitative Analyst or Developer More ❯

Our 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 and 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 Collaborate with investment and technology teams to prototype new metrics and deploy AI-driven insights that enhance ESG integration … and sustainability performance measurements Monitor and improve data quality, investigating and resolving data issues Engage with internal stakeholders across the firm to understand business needs and translate them into technical solutions Contribute to vendor evaluations and development of data governance standards Candidate Requirements: Minimum 4 years of experience in a Data Scientist, Quantitative Analyst or Developer More ❯

Product Manager – Data & AI Innovation (Air Platform) Location: London (Hybrid) Salary: £100-120,000 + bonus Type: Full-time, Permanent About Our Client Our client is a global financial technology leader driving innovation across data, automation, and AI. Their solutions power some of the world’s largest financial institutions, enabling them to transform operational efficiency, accuracy, and performance. … They are now seeking a strategic Product Manager with deep expertise in data-driven product development and AI integration to lead innovation across their flagship Air Platform — a next-generation solution focused on intelligent automation, orchestration, and data optimisation. This is an opportunity to sit at the heart of AI transformation — defining strategy, shaping product direction, and delivering … next-level user experiences powered by AI agents, LLMs, and emerging technologies. The Opportunity As Product Manager – Data & AI Innovation, you will drive the roadmap for advanced data orchestration and AI-enabled features. You’ll collaborate with data scientists, engineers, and go-to-market teams to ensure each innovation is technically sound, commercially valuable, and aligned to More ❯

Product Manager – Data & AI Innovation (Air Platform) Location: London (Hybrid) Salary: £100-120,000 + bonus Type: Full-time, Permanent About Our Client Our client is a global financial technology leader driving innovation across data, automation, and AI. Their solutions power some of the world’s largest financial institutions, enabling them to transform operational efficiency, accuracy, and performance. … They are now seeking a strategic Product Manager with deep expertise in data-driven product development and AI integration to lead innovation across their flagship Air Platform — a next-generation solution focused on intelligent automation, orchestration, and data optimisation. This is an opportunity to sit at the heart of AI transformation — defining strategy, shaping product direction, and delivering … next-level user experiences powered by AI agents, LLMs, and emerging technologies. The Opportunity As Product Manager – Data & AI Innovation, you will drive the roadmap for advanced data orchestration and AI-enabled features. You’ll collaborate with data scientists, engineers, and go-to-market teams to ensure each innovation is technically sound, commercially valuable, and aligned to More ❯

About Us TheMathCompany or MathCo® is a global Enterprise AI and Analytics company trusted for data-driven decision-making by leading Fortune 500 and Global 2000 enterprises. Founded in 2016, MathCo builds custom AI and advanced analytics solutions focused on enterprise problem-solving through its innovative hybrid model. NucliOS, MathCo’s proprietary platform with pre-built workflows and reusable … of our Client Services team, you will lead a team of Associates and Senior Associates who design, execute and implement cutting edge analytical solutions. You are responsible for institutionalizing data driven insights and recommendations to bring customer strategies to life and support the embedding of internally driven programs. An ideal candidate should be able to manage client engagements and … of Associates and Senior Associates across our offices to ensure the success of both our team members and our customers Work with your counterparts in India—who lead local Data Science teams—to effectively deliver projects leveraging our global delivery model Solve complex business problems for organizations, leveraging conventional and new age data sources and applying cutting More ❯

About Us TheMathCompany or MathCo® is a global Enterprise AI and Analytics company trusted for data-driven decision-making by leading Fortune 500 and Global 2000 enterprises. Founded in 2016, MathCo builds custom AI and advanced analytics solutions focused on enterprise problem-solving through its innovative hybrid model. NucliOS, MathCo’s proprietary platform with pre-built workflows and reusable … of our Client Services team, you will lead a team of Associates and Senior Associates who design, execute and implement cutting edge analytical solutions. You are responsible for institutionalizing data driven insights and recommendations to bring customer strategies to life and support the embedding of internally driven programs. An ideal candidate should be able to manage client engagements and … of Associates and Senior Associates across our offices to ensure the success of both our team members and our customers Work with your counterparts in India—who lead local Data Science teams—to effectively deliver projects leveraging our global delivery model Solve complex business problems for organizations, leveraging conventional and new age data sources and applying cutting More ❯

and Agentic AI solutions for global enterprise clients. This is a high-impact, client-facing role blending deep technical expertise, solution architecture, and strategic advisory. You’ll work across data science, engineering, and business teams to shape and implement transformative AI strategies, from concept through to scalable deployment. What you’ll do: ● Lead design and architecture of LLM More ❯

and Agentic AI solutions for global enterprise clients. This is a high-impact, client-facing role blending deep technical expertise, solution architecture, and strategic advisory. You’ll work across data science, engineering, and business teams to shape and implement transformative AI strategies, from concept through to scalable deployment. What you’ll do: ● Lead design and architecture of LLM More ❯

Data Science & GenAI Engineer (Senior and Lead Levels) — AI Agents, Structured Insights & Detection We’re pioneering Agentic AI — systems that don’t just respond, but reason, act, and adapt autonomously in complex workflows. This is about crafting AI Agent Experiences — designing agents that collaborate seamlessly with humans, learn from context, and make every customer interaction faster, smarter, and More ❯

Data Science & GenAI Engineer (Senior and Lead Levels) — AI Agents, Structured Insights & Detection We’re pioneering Agentic AI — systems that don’t just respond, but reason, act, and adapt autonomously in complex workflows. This is about crafting AI Agent Experiences — designing agents that collaborate seamlessly with humans, learn from context, and make every customer interaction faster, smarter, and More ❯

/ML industry. We are 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. The Responsible AI team is … be committed to your career and 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 for all tools and … seek to iterate on and improve them Participate in code reviews, continuously improving personal standards as well as the wider team and product Liaise with other technical staff and data engineers in the team and across allied teams, to build an end-to-end pipeline consuming other data products Basic qualifications: Demonstrated experience of Python backend development (e.g. More ❯

/ML industry. We are 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. The Responsible AI team is … be committed to your career and 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 for all tools and … seek to iterate on and improve them Participate in code reviews, continuously improving personal standards as well as the wider team and product Liaise with other technical staff and data engineers in the team and across allied teams, to build an end-to-end pipeline consuming other data products Basic qualifications: Demonstrated experience of Python backend development (e.g. More ❯

/ML industry. We are 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. The Responsible AI team is … be committed to your career and 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 for all tools and … seek to iterate on and improve them Participate in code reviews, continuously improving personal standards as well as the wider team and product Liaise with other technical staff and data engineers in the team and across allied teams, to build an end-to-end pipeline consuming other data products Basic qualifications: Demonstrated experience of Python backend development (e.g. More ❯