151 to 175 of 178 Data Science Jobs in the City of London

AI startup based in London. They’re redefining how financial services understand and engage with their customers. At its core is a proprietary AI model that reclusters financial customer data to reveal richer insights into behaviour, financial confidence, and attitudes towards money. Combined with Engage, their communications engine, the platform enables personalised customer interactions at scale – moving beyond one … size-fits-all marketing to create truly tailored campaigns that drive results. With 15–20 employees, primarily on the engineering and data science side, and backed by leading fintech investors, the company is now seeking its first dedicated Product Lead. This is a unique opportunity to help shape a category-defining product and lay the foundation for the … adopters to gather insights and validate product direction. Establish product processes and frameworks to support future team expansion. About you Proven product experience, ideally within Martech, AI-driven, or data-heavy platforms. Strong ability to convert customer insight into product strategy and technical requirements. Comfort operating as the first product hire in a high-growth environment, with the adaptability More ❯

AI startup based in London. They’re redefining how financial services understand and engage with their customers. At its core is a proprietary AI model that reclusters financial customer data to reveal richer insights into behaviour, financial confidence, and attitudes towards money. Combined with Engage, their communications engine, the platform enables personalised customer interactions at scale – moving beyond one … size-fits-all marketing to create truly tailored campaigns that drive results. With 15–20 employees, primarily on the engineering and data science side, and backed by leading fintech investors, the company is now seeking its first dedicated Product Lead. This is a unique opportunity to help shape a category-defining product and lay the foundation for the … adopters to gather insights and validate product direction. Establish product processes and frameworks to support future team expansion. About you Proven product experience, ideally within Martech, AI-driven, or data-heavy platforms. Strong ability to convert customer insight into product strategy and technical requirements. Comfort operating as the first product hire in a high-growth environment, with the adaptability More ❯

Senior Data Scientist - Credit Risk London – Hybrid Up to £80,000 + Benefits Our client is a high-growth fintech revolutionising consumer finance through cutting-edge technology and data science. Backed by top investors and consistently rated as a market leader, they are transforming the way loans, credit cards, and financial products are delivered - offering customers faster, more … transparent, and seamless experiences. As a Senior Data Scientist, you’ll play a pivotal role in developing proprietary risk models that drive strategic decision-making and product innovation. Working within a multidisciplinary team, you’ll apply advanced machine learning techniques to improve underwriting quality and enhance financial product offerings. Key Responsibilities Build and refine credit risk models using state … of-the-art ML techniques. Translate business challenges into data-driven solutions. Deploy and monitor models autonomously, without reliance on a separate ML engineering team. Clearly communicate insights and recommendations to stakeholders. What We’re Looking For Strong Python experience, with knowledge of ML techniques. Familiarity with the credit industry, financial products, and data-driven risk modelling. Experience More ❯

design of intelligent, AI-powered workflows that blend human decision-making with machine support. You’ll work on real features that ship to customers, collaborating closely with engineering and data science to make AI usable, useful, and trusted. What you'll do: Design intuitive interactions with LLM-based features (inputs, feedback, explainability). Own design across the lifecycle More ❯

design of intelligent, AI-powered workflows that blend human decision-making with machine support. You’ll work on real features that ship to customers, collaborating closely with engineering and data science to make AI usable, useful, and trusted. What you'll do: Design intuitive interactions with LLM-based features (inputs, feedback, explainability). Own design across the lifecycle More ❯

Machine Learning Engineer and Data Engineer Location: London Type: Full-time | Permanent | Office based Salary: up to £100,000 (ML Engineer) and up to £80,000 (Data Engineer) About Us We’re an early-stage startup on a mission to. As we scale, we’re looking for a Machine Learning Engineer and Data Engineer who are excited … ll Do Design, train, and deploy machine learning models to solve real-world problems. Collaborate with product and engineering teams to integrate ML into customer-facing features. Build scalable data pipelines and infrastructure to support model training and inference. Experiment with new algorithms and techniques, bringing the latest research into production. Monitor and optimise models for performance, accuracy, and … long-term scalability. Help shape our technical culture, processes, and roadmap as an early team member. What We’re Looking For 2+ years’ experience as a Machine Learning Engineer, Data Scientist, or similar role. Strong background in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn). Experience with building and deploying ML models into production. Knowledge of APIs, data More ❯

Machine Learning Engineer and Data Engineer Location: London Type: Full-time | Permanent | Office based Salary: up to £100,000 (ML Engineer) and up to £80,000 (Data Engineer) About Us We’re an early-stage startup on a mission to. As we scale, we’re looking for a Machine Learning Engineer and Data Engineer who are excited … ll Do Design, train, and deploy machine learning models to solve real-world problems. Collaborate with product and engineering teams to integrate ML into customer-facing features. Build scalable data pipelines and infrastructure to support model training and inference. Experiment with new algorithms and techniques, bringing the latest research into production. Monitor and optimise models for performance, accuracy, and … long-term scalability. Help shape our technical culture, processes, and roadmap as an early team member. What We’re Looking For 2+ years’ experience as a Machine Learning Engineer, Data Scientist, or similar role. Strong background in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn). Experience with building and deploying ML models into production. Knowledge of APIs, data More ❯

Senior Data Scientist Up to £80,000 + 15% bonus Hybrid – 3 days per week in office (London) We’ve partnered with an innovative Data Start-up who are looking to hire a passionate Senior Data Scientist. This consultancy provides innovative SAAS and AI solutions to their household name clients and is an excellent opportunity to work … Experience with building machine learning models and deploying at scale 2:1 or above in Mathematics or STEM Degree from a Top UK university 3 years' experience in a Data Scientist or relevant field Interview Process: SQL and Python Test Technical interview (1 hour) In person Team Fit (2 hours More ❯

Senior Data Scientist Up to £80,000 + 15% bonus Hybrid – 3 days per week in office (London) We’ve partnered with an innovative Data Start-up who are looking to hire a passionate Senior Data Scientist. This consultancy provides innovative SAAS and AI solutions to their household name clients and is an excellent opportunity to work … Experience with building machine learning models and deploying at scale 2:1 or above in Mathematics or STEM Degree from a Top UK university 3 years' experience in a Data Scientist or relevant field Interview Process: SQL and Python Test Technical interview (1 hour) In person Team Fit (2 hours More ❯

Staff Data Scientist Salary: £90K - £100K Location: London - Hybrid Overview: Data Idols are working with a leading disruptor in the tech industry that is fundamentally reshaping how goods and services move in the online era. Backed by record-breaking investment and scaling faster than almost any other startup, they're building one of the most talented data … models and infrastructure to detect, prevent, and resolve issues before they scale, ensuring trust, efficiency, and world-class customer experience. Using Python, SQL, cloud-native infrastructure, and large-scale data processing tools, you'll develop production-grade ML models that power live decision-making. What You'll Be Doing: Designing and deploying production-grade ML models that drive live … vision Building fraud and anomaly detection models using geospatial and behavioural signals. Partnering with engineers to scale pipelines, compliance monitors, and detection systems. Leading scientific direction and mentoring other data scientists to maximise impact. If you are a Staff Data Scientist looking for a high-impact role where your expertise directly shapes a fast-scaling network, please submit More ❯

domains such as computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML engineers, and product teams to define model requirements and deployment strategies. Optimize model performance and scalability for production environments. Conduct experiments, evaluate model performance, and iterate based … practices and tools (e.g., MLflow, DVC, Airflow). Strong problem-solving skills and ability to work independently in a fast-paced environment. Preferred Qualifications: MSc or PhD in Computer Science, Machine Learning, or related field. Experience with large-scale datasets and distributed training. Knowledge of model interpretability and responsible AI practices. Benefits: Flexible working arrangements (hybrid or remote options More ❯

domains such as computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML engineers, and product teams to define model requirements and deployment strategies. Optimize model performance and scalability for production environments. Conduct experiments, evaluate model performance, and iterate based … practices and tools (e.g., MLflow, DVC, Airflow). Strong problem-solving skills and ability to work independently in a fast-paced environment. Preferred Qualifications: MSc or PhD in Computer Science, Machine Learning, or related field. Experience with large-scale datasets and distributed training. Knowledge of model interpretability and responsible AI practices. Benefits: Flexible working arrangements (hybrid or remote options More ❯

Key Responsibilities Develop loss models to quantify climate-related risks, with a focus on estimating asset vulnerabilities. Calibrate and validate models using a wide range of qualitative and quantitative data sources. Contribute to building a robust and adaptable loss modelling framework. Document methodologies and communicate scientific insights to stakeholders, clients, and at industry events and conferences. What We’re … Looking For Experience building and calibrating statistical/mathematical loss models, ideally across multiple perils. Proficiency with geospatial data (climate and Earth observation) and economic damage datasets. Strong programming skills in Python, R, or a similar language. Excellent communication skills, able to explain complex concepts to non-technical audiences. A self-starter who thrives in a fast-paced R More ❯

they prioritise innovation and growth - they're considered one of the most well-funded and exciting InsurTech scale-ups in the UK. ROLE AND RESPONSIBILITIES Build and design robust data models, working end-to-end across modelling in DBT and ETL processes Develop and maintain scalable data pipelines using SQL and Snowflake Work closely with analysts, data scientists and product teams to ensure data is reliable and well-structured Own the design and implementation of new models, not just building but shaping how they’re developed Contribute to improving analytics engineering standards and best practices Communicate findings and recommendations clearly across technical and non-technical stakeholders SKILLS AND EXPERIENCE Required: 3+ years in an Analytics More ❯

Job Title: Data Scientist (Contract) Location: London (Hybrid - 1 office visit a week) Duration: 6 months Start Date: ASAP Outside IR35 A global consultancy is seeking a Data Scientist to join its internal transformation team focused on delivering AI-driven solutions across tax and legal services. This is a contract role within a high-performing data and … best practices: version control, testing, deployment Ability to collaborate with AI engineers and translate prototypes into scalable solutions Desirable Skills: Experience optimizing workflows and building scalable AI pipelines Strong data analytics and visualization capabilities (Excel, Alteryx) Understanding of Responsible AI principles and practices More ❯

that drive innovation in image and video processing. Responsibilities Develop, train, and optimise computer vision models for real world applications. Work with large datasets including images and video, ensuring data preprocessing, augmentation, and pipeline optimisation. Deploy ML models into production, ensuring scalability, efficiency, and reliability. Collaborate closely with data scientists, software engineers, and product teams to translate business More ❯

that drive innovation in image and video processing. Responsibilities Develop, train, and optimise computer vision models for real world applications. Work with large datasets including images and video, ensuring data preprocessing, augmentation, and pipeline optimisation. Deploy ML models into production, ensuring scalability, efficiency, and reliability. Collaborate closely with data scientists, software engineers, and product teams to translate business More ❯

entertainment group as their UK Analytics Manager. In this role, you'll be a key operational lead, managing and mentoring a growing team of three: a BI Developer, a Data Analyst, and a Data Scientist. You'll report to the Director of Analytics and act as the local lead for analytics operations in the UK. What you’ll More ❯

in equities strategies. Leveraging proprietary cutting-edge technology and rigorous scientific research, the company excels in trading, technology, and operations, and is now looking to expand their discretionary organisation. Data is not a support function here but drives the firm’s approach, with data scientists having direct and tangible communication with PMs and traders. With a true emphasis … on global collaboration, their investment, technology, and operations teams are aligned functionally around the world. Your Role: Develop insights and generate ideas for the equity fundamental research team using data-driven approaches. Collaborate across the firm to exchange results, feedback, and custom tools effectively. Conduct tasks such as KPI estimation and projection for companies or sectors, hypothesis testing through … data analysis, building screening tools, and assessing new and existing datasets for relevance and quality. Gain a deep understanding of the fundamental models used by analysts and create data-driven variables to enhance these models. Assess the value and relevance of new datasets for specific sectors or stocks. Execute data-driven studies to validate or refute hypotheses More ❯

in equities strategies. Leveraging proprietary cutting-edge technology and rigorous scientific research, the company excels in trading, technology, and operations, and is now looking to expand their discretionary organisation. Data is not a support function here but drives the firm’s approach, with data scientists having direct and tangible communication with PMs and traders. With a true emphasis … on global collaboration, their investment, technology, and operations teams are aligned functionally around the world. Your Role: Develop insights and generate ideas for the equity fundamental research team using data-driven approaches. Collaborate across the firm to exchange results, feedback, and custom tools effectively. Conduct tasks such as KPI estimation and projection for companies or sectors, hypothesis testing through … data analysis, building screening tools, and assessing new and existing datasets for relevance and quality. Gain a deep understanding of the fundamental models used by analysts and create data-driven variables to enhance these models. Assess the value and relevance of new datasets for specific sectors or stocks. Execute data-driven studies to validate or refute hypotheses More ❯

SENIOR PRICING DATA SCIENTIST £80,000 LONDON Really exciting role here with a small and dynamic Insurtech who are going through an exciting period of change. This role offers the chance to work on their end-to-end model process, working in a fast-paced and challenging environment where you can take ownership for business performance. THE COMPANY This … predictive models using Python and Machine Learning techniques Work on end-to-end ownership of these models, including work on implementation, deployment and enhancement Analyse large sets of customer data to drive insight and commercial performance Share insight with the wider team and helping to improve profitability across the business on ad hoc project work YOUR SKILLS AND EXPERIENCE More ❯

Lead Data Scientist – Credit Risk Modelling £80-105,000 (dependent on experience) London THE COMPANY This business are a dynamic and fast-paced lender and are seeking a driven and experienced individual to join their team in building out their predictive models using cutting-edge Machine Learning techniques. This role is an opportunity for someone to be part of More ❯

Data Scientist (one day a week in the central London office) Sports Analytics This role is a unique opportunity for a Data Scientist to combine technical challenges with creativity in a collaborative, high-standard work environment. By joining this team, youll not only be part of a creative and open work culture focused on innovation and excellence but More ❯

healthcare. They’re now looking for a Director of Machine Learning to join on an initial 6-month contract leading a talented team of around 20 ML engineers and data scientists. 📍 London | Hybrid (2 days/week onsite) 📅 Start: ASAP | ⏳ 6-month contract 💰 Outside IR35 - rate depending on experience The Opportunity Lead, coach and inspire a high-performing team … of 20+ ML engineers, data scientists and applied researchers. Drive the ML strategy and roadmap, ensuring models are innovative, scalable and embedded at the core of the product. Partner with Product and Commercial leaders to align technical work with customer value and business outcomes. Push the boundaries of AI, NLP and machine learning applications. Solve complex product challenges, working More ❯

healthcare. They’re now looking for a Director of Machine Learning to join on an initial 6-month contract leading a talented team of around 20 ML engineers and data scientists. 📍 London | Hybrid (2 days/week onsite) 📅 Start: ASAP | ⏳ 6-month contract 💰 Outside IR35 - rate depending on experience The Opportunity Lead, coach and inspire a high-performing team … of 20+ ML engineers, data scientists and applied researchers. Drive the ML strategy and roadmap, ensuring models are innovative, scalable and embedded at the core of the product. Partner with Product and Commercial leaders to align technical work with customer value and business outcomes. Push the boundaries of AI, NLP and machine learning applications. Solve complex product challenges, working More ❯