26 to 31 of 31 Senior Data Scientist Jobs in the City of London

Lead Decision/Data Scientist – Credit London, UK – Hybrid Up to £100,000 + Benefits About the Company We are working with a fast-growing fintech scaleup, who are on a mission to reshape access to financial services across underserved markets. With a strong focus on innovation, collaboration, and data-driven decision-making, the company is building … impactful financial products tailored to real customer needs. We’re looking for a Lead Decision Scientist, to lead the development, deployment, and ongoing optimisation of credit risk models. This is a high-impact position at the intersection of data science, risk, and business strategy. You’ll drive lending strategy, own the end-to-end modeling lifecycle, and guide … a growing team of analysts as we scale. This role is perfect for someone who thrives on experimentation, has a deep understanding of credit data, and enjoys working in a fast-paced environment. Key Responsibilities Lead the design, development, and maintenance of credit risk and affordability models using bureau, open banking, and behavioural data Own the full model More ❯

Lead Data Scientist Up to £100,000 London (Remote/Hybrid) Company: This is a pre-seed startup on a mission to rethink how content gets made. The media landscape is more competitive than ever, and the old ways of creating and testing content just don’t cut it anymore. They’re using data and AI to … shape stories that actually land with under-served audiences. Responsibilities: Work closely with the founder to translate visionary ideas into practical, data-driven experiments and models. Analyse audience behaviour data and build AI-driven tools (like synthetic test groups) to predict content success. Collaborate with product, creative, and tech teams to embed data insights into content creation … and decision-making. Identify data gaps and design tracking or instrumentation strategies to improve analytics capabilities. Stay hands-on with modelling and analysis while providing realistic guidance to keep projects focused and achievable. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with More ❯

LEAD DATA SCIENTIST - Insurance HYBRID - London £80,000 - £100,000 We are working with a household name in the UK insurance space on the search for a Lead Data Scientist. They are looking for someone to help spearhead their Machine Learning Initiatives. In this role, you will have the opportunity to be either a technical lead, or … implementation of ML/AI models Develop and deploy Large Language Models (LLMs) and/or internal chatbot systems. Collaborate with cross-functional teams to identify opportunities for leveraging data-driven insights. Mentor and develop a team of data scientists, fostering a collaborative and innovative work environment. Stay ahead of industry trends and emerging data technologies, bringing … fresh perspectives and solutions to the organization. REQUIREMENTS: 4+ years in data science, with a strong preference for experience in the insurance or financial services sector. Experience working with LLMs and NLP frameworks such as Hugging Face or OpenAI is a strong advantage. Proven experience managing and mentoring a team of data professionals, with a commitment to fostering More ❯

Lead Data Scientist Up to £90,000 London (Remote/Hybrid) Company: Join a global financial platform offering fast, secure, and affordable money transfers, multi-currency wallets, and essential banking services worldwide, all within one app. You’ll be responsible for designing, building, and optimising credit and risk scoring models that drive key financial decisions across global markets. … Responsibilities: Lead the development and maintenance of credit risk and affordability models using bureau, open banking, and alternative behavioural data. Own end-to-end model lifecycle: data sourcing, feature engineering, model development, validation, and monitoring. Design and execute champion/challenger tests and A/B experiments to continuously improve approval rates, loss rates, and customer experience Analyse credit … performance data to generate actionable insight and support strategic decisions Mentor and develop a small team of analysts/data scientists as the team scales Work closely with Data Engineering to deploy models into production pipelines. Collaborate with stakeholders to define modelling goals and interpret model outcomes in a business context. Requirements: MSc or PhD Degree in More ❯

Principal Data Scientist Up to £150,000 London (Hybrid, 2-3 days onsite per week) Company: This private equity and investment start-up are focused on streamlining and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: Build machine learning predictive models … a fast-paced, collaborative environment. How to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Machine Learning, Data Science, start-up, Investment, Equity More ❯

Lead/Principal Data Scientist London – Hybrid (3 days a week) £90,000 - £115,000 + Benefits Our client is a precision marketing agency, leveraging data, technology, and creativity to fuel client growth. As part of their Marketing Sciences Data Science Team, you’ll play a pivotal role in revolutionising marketing strategies through cutting-edge Data Science and Machine Learning solutions. This is still a largely hands on role, with around 20% team leadership. What You’ll Do Oversee data science projects, guide junior team members, and drive innovation. Build predictive models for campaign optimisation, customer segmentation, and price elasticity. Design and implement AI-powered solutions to solve complex marketing challenges. Use machine learning … in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong leadership skills with experience mentoring and managing data science teams. Deep knowledge of media measurement techniques, such as media mix modelling. Experience with advanced AI techniques, including NLP, GenAI, and CausalAI. Familiarity with MLFlow, API design (FastAPI More ❯