776 to 800 of 4,239 Data Science Jobs in London

datasets to build a conversational chat bot. Tasks Key Responsibilities: Model Development: Retrain and fine-tune existing Large Language Models (LLMs) using proprietary datasets to meet specific business requirements. Data Integration: Work with data engineers and data scientists to curate, preprocess, and integrate company-specific data into LLMs. Model Evaluation: Design and execute experiments to evaluate … using metrics relevant to the business. Optimization: Implement model optimization techniques to improve efficiency, reduce latency, and enhance model scalability. Collaboration: Collaborate with cross-functional teams, including product managers, data scientists, and software engineers, to align AI solutions with business goals. Deployment: Assist in deploying LLMs into production environments, ensuring robust and scalable AI solutions. Requirements Qualifications: Experience … AI/ML development, with a focus on working with Large Language Models (e.g., GPT, BERT, Hugging Face, etc.). Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field (or equivalent experience). Technical Skills: Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch). Strong understanding More ❯

role will report to the Analytics Manager. You will be part of a team that develops end-to-end reporting solutions for internal stakeholders. The team consists of experienced data engineers and reporting developers. The team is one of four teams within the data and analytics function, so there will occasionally be overlapping and cross-functional work. About … Role: We are seeking an enthusiastic data scientist to assist our analytics team in transitioning to leveraging data science and machine learning. Ideally, candidates should have experience in deploying machine models and providing insights into the governance of these models. You must be a self-starter capable of managing your projects while meeting both requirements and deadlines. … Additionally, you will engage in data engineering tasks, with initial support from the team, but it will be expected that you can handle these responsibilities independently after some time. Our team supports strategic reporting for finance, marketing, go-to-market, and strategy. You will have exposure to various datasets and teams. Responsibilities: Understanding our end-to-end development. Deploying More ❯

Permanent - Full Time Location: London Reporting To: Stephen Hood Description As a Senior Product Owner at Reward, you will play a pivotal role in shaping the future of our data and insights products. Operating at the intersection of business vision and technical execution, you will drive the strategic development of our data capabilities, ensuring alignment with evolving client … needs and organisational goals. You will bring a track record of translating complex business challenges into scalable, data-driven solutions, with a relentless focus on customer value and impact. This is a role for someone who not only thrives in ambiguity but also brings clarity, direction, and momentum. You are a strategic thinker with a hands-on mindset; able … to own the product vision while guiding cross-functional teams toward high-impact delivery. You will be instrumental in defining product strategy, prioritising initiatives, aligning stakeholders, and ensuring our data products create measurable business outcomes. You are a confident communicator, commercially astute, and an advocate for both the user and the business. You combine your curiosity for data 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 our Data Scientists, Actuaries, and Product team to deliver scalable, production-grade ML systems. Key Responsibilities Build 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 our Data Scientists and Actuaries 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 feedback on 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 a related field Experience: Proven experience in ML model lifecycle management Core Competencies: Model lifecycle: You’ve got hands-on experience with managing the ML model lifecycle, including both online and batch processes More ❯

you have what it takes to be part of Echobox? We'd love to hear from you. About the Role: You will work closely with our Product team and Data Scientists to define and execute on the future path for our products. Key Responsibilities: - Work closely with senior engineers to design, build, and maintain back-end services and systems … that support our AI-powered products, all whilst meeting launch deadlines. - Assist in the development and optimization of scalable, high-performance systems to support large volumes of data and machine learning models. - Write clean, efficient, and maintainable code while following best practices and coding standards. - Contribute to the deployment and integration of back-end services, ensuring that they work … seamlessly with front-end and data science systems. - Help improve the architecture and functionality of our back-end systems, focusing on performance, reliability, and scalability. - Assist with debugging and troubleshooting technical issues, providing solutions to enhance system performance. - Collaborate with cross-functional teams to identify system needs and contribute to continuous improvements. - Continuously learn and apply new technologies More ❯

AI project objectives, requirements, and timelines Design, develop, and implement AI models, algorithms, and applications to solve complex business challenges Oversee the end-to-end AI model lifecycle, including data collection, preprocessing, model training, evaluation, and deployment Stay updated with the latest advancements in AI and machine learning, incorporating best practices into projects Drive data-driven decision-making … Ensure the security, scalability, and efficiency of AI solutions Lead research efforts to explore and integrate cutting-edge AI techniques Requirements Bachelor's, Master's, or Ph.D. in Computer Science, Artificial Intelligence, or a related field Proven experience as an AI engineer or data scientist, with a track record of leading successful AI projects Proficiency in AI and … machine learning frameworks and programming languages (e.g., Python) Strong expertise in data preprocessing, feature engineering, and model evaluation Excellent problem-solving and critical-thinking skills Effective leadership, communication, and team management abilities A passion for staying at the forefront of AI and machine learning advancements Benefits Fast moving, challenging and unique business problems Attractive remuneration and performance incentives Strong More ❯

effectively, understanding and monitoring portfolio trends, market dynamics and macro-economic environment Collaboration is key at Zopa which means you'll work closely with our cross-functional teams including data science, product, and finance to develop and drive innovative approaches to calculating impairment provisions while remaining compliant with our internal policies and external regulations. You'll be owning … credit cards, secured loans for the purchase of a car, and point-of-sale finance, which all pose different analytical challenges. - You work in a wider cross-functional, credit, data science and finance team, so you will have the opportunity to work alongside, learn from and mentor some of the brightest minds and friendliest people in the industry … You work with some of the best tech in the industry, such as AWS SageMaker for ML, DBT for data processing along with standard analytical tools like Python, Redshift, Tableau etc. - All our decisioning systems are built in-house, meaning that we have nearly unlimited flexibility in what we can implement. A day in the life Finding insight in More ❯

globally and are looking for excellent candidates to join the next phase of our journey. The Role As a Analytics Engineer, you will be a key contributor to our data-driven success by designing, developing, and maintaining scalable data pipelines and architectures. You will play a crucial role in ensuring data integrity, optimizing data storage, and … collaborating with cross-functional teams to support business initiatives. Additionally, you will drive continuous improvement in data processes, promote a culture of data excellence, and provide insights to support strategic decision-making. Key Responsibilities: Implement and maintain ELT (Extract, Load, Transform) processes using scalable data pipelines and data architecture. Collaborate with cross-functional teams to understand … data requirements and deliver effective solutions. Ensure data integrity and quality across various data sources. Support data-driven decision-making by providing clean, reliable, and timely data. Define the standards for high-quality data for Data Science and Analytics use-cases and help shape the data roadmap for the domain. Design, develop More ❯

The CCR Engineering group is responsible for enhancing the way the firm measures, manages, and supervises counterparty credit risk by improving first line-of-defense counterparty data repositories and analytical tooling to ensure comprehensive and timely risk identification, measurement, monitoring and controls. We develop stress testing methodologies to systematically capture tail, concentration and liquidation risks across Global Banking & Markets … from across the firm that are enriched with enterprise reference data. We aim to provide a unified platform facilitating prime and counterparty risk management, with self-service access to data sets to enable adhoc queries, filters, aggregations and management reporting capabilities to streamline stressed client management and increase the efficiency of a risk management response in times of market … solutions to keep our firm's position on the cutting edge. Or, join our core engineering teams, and elevate all of our businesses by providing reliable, scalable platforms for data engineering, machine learning, networking, developer tooling, collaboration and more. Innovate with UI/UX designers, data scientists, cloud engineers, and more in a collaborative, agile environment where your More ❯

the development of our internal solutions for the Tax Team. You will be key in the end-to-end delivery of multiple tax technology solutions, working closely with our data analytics, data visualisation, and automation teams to deliver high-quality, technically robust outcomes. You will have the opportunity to be involved at all stages of solution development, from … processes, conducting research into emerging technologies, and identifying useful innovations for the tax department. Supporting training and upskilling of the tax department to enhance technology usage. Collaborating with our data analytics community to share knowledge and drive innovative solutions benefiting the Tax Team. Being proactive in technology projects from initiation to rollout. Developing advanced technical knowledge through personal development. … passionate about improvements, this role is for you! We value diverse experiences and perspectives. Our ideal candidate will have: Tax technology experience Strong knowledge of Python and SQL for data analytics Experience with tax compliance processes Proficiency with MS Office Desirable qualifications include: ATT or equivalent technical qualification Alteryx experience and certification Experience with relational database design Familiarity with More ❯

bringing technical expertise, analytical rigour, and a customer-centric approach to our product strategy. This role is central to scaling our underwriting capability across motor insurance segments through automation, data-led decision-making, and continuous improvement. What you will be doing Supported by rigorous data analysis, set and monitor underwriting criteria to optimise quotability and minimise risk exposure. … Proactively make recommendations for product improvements. Drive innovation in underwriting operations Uphold principles of fairness and customer-centricity (e.g., Consumer Duty, Fair Value). Interpret data and technical information to support business decisions. What you will need to be successful Numerical: Proficient in advanced data analysis and visualisation using SQL, Python, R, Excel, and Looker; experienced with additional … BI and analytical tools as required. Ability to present data clearly and accurately in presentations to internal and external stakeholders (Google Slides) High attention to detail in evaluating technical and numerical information. Communication: Strong verbal and written communication skills. Ability to interpret and explain complex policy wordings. Capability to explain technical issues in a clear, structured, and logical manner. More ❯

discovery, genomics, clinical trials, and more). Translate complex scientific and business problems into scalable ML pipelines using state-of-the-art techniques. Collaborate with cross-functional teams including data scientists, biologists, chemists, clinical researchers, and software engineers. Drive model interpretability, scalability, and reproducibility in high-stakes biomedical applications. Drive technical decision-making around architecture, model development, and data … validation, and responsible AI, especially in regulated biomedical environments. Lead initiatives focused on Generative AI and Agentic AI, developing AI agents that can reason, plan, and interact autonomously with data, tools, and systems. Mentor other engineers and data scientists; foster best practices around MLOps, experimentation tracking, and continuous integration. Why you? Basic Qualifications & Skills: We are looking for … professionals with these required skills to achieve our goals: PhD or Master's degree in computer science, Machine Learning, Statistics, Computational Biology, or a related quantitative field. Extensive experience in AI/ML engineering. Demonstrated experience working closely with business stakeholders in R&D, translating complex scientific challenges into AI solutions. Proficiency in Python and ML libraries (e.g., TensorFlow More ❯

work closely with Buro Happold's computational team to build reusable AI/ML datasets, develop and optimise ML models, facilitate their deployment within the company, and co-define data-driven solutions that have the potential to revolutionise the Architecture, Engineering and Construction (AEC) industry. This role presents an exciting opportunity to work in collaboration with leading academics at … review, understanding challenges, and proposing realistically achievable goals with a clearly defined plan and timeline. Help develop reusable datasets suitable for training ML models, using Buro Happold's extensive data sources. This includes co-defining labelling processes according to the developed KG and coordinate with domain experts that will perform the labelling. Select and fine-tune computer vision models … the use case and the resources available at specific times (from lightweight RCNNs to more complex models like YOLO). Select appropriate modelling techniques (e.g. few-shot learning) and data augmentation strategies when appropriate to adapt the developed solution to low-data contexts. Contribute to the development of an Ontology/Knowledge Graph (KG) to represent key engineering More ❯

leading flexibility and last-minute availability, it's never too late to make any day extraordinary. Viator. One app, 300,000+ travel experiences you’ll remember. About The Role Data isn’t just a number at Viator, it’s a product that serves as a key input to nearly every decision we make. We are seeking a Senior Analytics … Engineer to help the Experimentation Team team optimize data models, improve the usability of our data, and ultimately increase its impact; someone to serve as an advocate for our data. The Experimentation Platform team runs the infrastructure and tooling that powers the platform running all A/B testing at Viator. Experimentation plays a key role at Viator … and non-technical - someone with a strong understanding of the business and the ability to weigh business needs against technical requirements. This role will be partnering closely with engineering, data engineering, data science and analytics across a range of projects. Responsibilities We are seeking a Senior Analytics Engineer who will have the curiosity and drive to move More ❯

Advanced search and recommendations capabilities across our mobile and web applications Pricing and routing optimisations to find the best fares for customers Personalised user experiences enhanced by generative AI Data-driven digital marketing systems Our machine learning teams own the complete delivery lifecycle from ideation to production. We work closely with stakeholders across the business to expand the understanding … future of train travel. You will build highly innovative AI and ML products working alongside engineers, scientists and product managers to tackle complex challenges by combining Trainline’s rich data sets with cutting edge algorithms. What unites our team is an expertise in the field, a love of what we do and the desire to create impactful solutions to … systems, delivering highly impactful products that make a difference to our millions of users. As a Machine Learning Engineer at Trainline you will... Work in cross-functional teams combining data scientists, software, data and machine learning engineers, and product managers Design and deliver machine learning systems at scale that drive measurable impact for our business Own the full More ❯

Advanced search and recommendations capabilities across our mobile and web applications Pricing and routing optimisations to find the best fares for customers Personalised user experiences enhanced by generative AI Data-driven digital marketing systems Our machine learning teams own the complete delivery lifecycle from ideation to production. We work closely with stakeholders across the business to expand the understanding … future of train travel. You will build highly innovative AI and ML products working alongside engineers, scientists and product managers to tackle complex challenges by combining Trainline’s rich data sets with cutting edge algorithms. What unites our team is an expertise in the field, a love of what we do and the desire to create impactful solutions to … systems, delivering highly impactful products that make a difference to our millions of users. As a Machine Learning Engineer at Trainline you will... Work in cross-functional teams combining data scientists, software, data and machine learning engineers, and product managers Design and deliver machine learning systems at scale that drive measurable impact for our business Own the full More ❯

Get AI-powered advice on this job and more exclusive features. Millennium is a top tier global hedge fund with a strong commitment to leveraging innovations in technology and data science to solve complex problems. As part of the vision the firm is looking to hire a quantitative developer to work on the next generation price and risk … eco-system around the library, including communication with other departments and groups within the firm Promote C++ coding and design best practices Requirements Bachelor's degree in Maths, Computer Science, or other relevant discipline (higher qualification is a plus) 2+ years of professional experience as in C++ Development Modern C++ programming experience in C++17/20 or above Knowledge … of design patterns, data structures and algorithms Ability to write efficient, high performing code Strong analytical and problem-solving skills Solid communication skills Able to work as part of a team in a fast-paced environment Detail oriented, organised, demonstrating thoroughness and strong ownership of work Optional Experience working with pricing/risk analytics libraries Experience working with cross More ❯

career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase within the AI and Machine Learning Data Platform Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable … to deliver tailored solutions. Integrate Generative AI within the ML Platform using state-of-the-art techniques. Required Qualifications, Capabilities, and Skills MS and/or PhD in Computer Science, Machine Learning, or a related field, with applied machine learning experience. Experience in programming languages such as Python, Java, C/C++, etc. Intermediate Python skills are essential. Experience … applying data science and ML techniques to solve business problems. Solid background in Natural Language Processing (NLP) and Large Models (LLMs). Hands-on experience with machine learning and deep learning methods. Deep understanding of deep learning frameworks such as PyTorch or TensorFlow. Experience with advanced ML areas like GPU optimization, fine-tuning, embedding models, inferencing, prompt engineering More ❯

in touch What You'll Be Doing Helping our team to build APIs, ensuring they’re properly designed and can scale according to business needs Supporting the creation of data pipelines to pull data from production services into our data warehouse, powering reporting, data analytics, and data science Working within multidisciplinary squads to build … new data models to provide this data to new flows and processes Gaining commercial exposure to the most widely used OOPL, while expanding your SQL knowledge Working alongside engineers with a deep understanding of distributed systems What You'll Need A portfolio of multiple coding side projects or open source contributions To have graduated university in … or 2026 A 2:1 predicted or achieved grade (or above) University studies in computer science, maths, physics, or a similar field A proactive attitude Love for problem-solving Fluency in English To be an ambitious, quick learner with a results-driven attitude Excellent communication and organisational skills To feel comfortable working as part of a diverse team in More ❯

they do, helping clients become self-sufficient. We support this through client-side incubation with ready-made capabilities, backed by smart, execution-focused practitioners. The Role Are you a data enthusiast passionate about transforming raw data into meaningful insights? We are seeking a talented Fabric/Data Consultant with expertise in Azure and Power BI to join … our dynamic team. This role suits someone who enjoys working with advanced technology, developing robust data architectures, and leading strategic business intelligence initiatives. If you’re excited about enabling organizations to unlock their data’s full potential, we’d love to hear from you. Proven experience in data engineering, with exposure to Azure Synapse, Azure Data Factory, or Databricks. Familiarity with Microsoft Fabric or a strong willingness to learn and adapt to its ecosystem. Proficiency in Python programming, focusing on data manipulation and engineering. A genuine interest in data science and a desire to expand skills into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills, with a More ❯

People Officer. Currently, the team is seeking a People Systems Analyst to focus on building Power BI skills and a consultative mindset to support the HR team in leveraging data to drive strategic future decisions. The ideal candidate will be experienced in HR systems, reporting, and analytics, and have a proven ability to translate data insights into actionable … recommendations for stakeholders across the business. Responsibilities: Design, develop, and maintain interactive Power BI dashboards and reports focused on workforce data, DEI, engagement, turnover, and other people metrics. Ensure data integrity and consistency by creating robust data models and using Power Query effectively. Automate reporting processes and create scalable solutions for recurring data needs. HR Systems … Data Management Work with HRIS (e.g., Workday, SAP SuccessFactors, Oracle HCM, etc.) to extract and manipulate data for reporting and analysis. Collaborate with IT and HR teams to ensure seamless integration between systems and data pipelines. Support system upgrades, testing, and data governance efforts as needed. Advisory & Stakeholder Engagement Act as a trusted advisor to HRBPs More ❯

functional teams to identify opportunities for enhancement, make informed recommendations, and contribute to the strategic direction of our two sided marketplace platform. This role requires a deep understanding of data analysis, market trends, and a strong ability to work with or mentor other analysts in the team to communicate findings effectively to stakeholders. Key Responsibilities: Data Analysis and … Insights Collect, clean, monitor and analyse data to identify trends, patterns, and user behaviour. Develop and maintain dashboards and reports for key product metrics. Conduct A/B tests and experiments to evaluate the impact of product changes. Provide actionable insights to guide product development and enhancements. Understanding User Behaviour Deeply understand user behaviour, needs, and pain points on … both sides of the marketplace. Create user personas and journey maps to inform product design and development. Collaborate with UX/UI designers by providing data-driven insights that can be used to optimise user interfaces Product Strategy Collaborate with Product Managers to define product goals and KPIs. Participate in product roadmapping and prioritise features and improvements based on More ❯

Python Developer Job Type: Permanent Location: London Salary: £55,000-£65,000 DOE Skills: Python, AWS, CI/CD, Docker Kubernetes, JavaScript Roc Search have partnered with a vibrant data focused agency in London. They are seeking an experienced Backend Engineer with a strong foundation in Python and object-oriented programming. In this role, you will be responsible for … designing, developing, and maintaining the server-side components of our software applications. You will collaborate closely with cross-functional teams, Data Engineers, Cloud Engineers, and Product stakeholders, to deliver scalable, secure, and efficient backend solutions. The ideal candidate will have solid experience in CI/CD pipelines, cloud infrastructure (especially AWS), and modern backend architectures. Familiarity with event-driven … microservice-based patterns is a plus. The team are also looking for someone who can bring experience or interest in AI Engineering to build intelligent services and working alongside Data Scientists to deploy scalable AI-driven features and applications. A familiarity with cloud-based AI/ML services in Snowflake Cortex or DOMO AI would be a strong advantage. More ❯

Python Developer Job Type: Permanent Location: London Salary: £55,000-£65,000 DOE Skills: Python, AWS, CI/CD, Docker Kubernetes, JavaScript Roc Search have partnered with a vibrant data focused agency in London. They are seeking an experienced Backend Engineer with a strong foundation in Python and object-oriented programming. In this role, you will be responsible for … designing, developing, and maintaining the server-side components of our software applications. You will collaborate closely with cross-functional teams, Data Engineers, Cloud Engineers, and Product stakeholders, to deliver scalable, secure, and efficient backend solutions. The ideal candidate will have solid experience in CI/CD pipelines, cloud infrastructure (especially AWS), and modern backend architectures. Familiarity with event-driven … microservice-based patterns is a plus. The team are also looking for someone who can bring experience or interest in AI Engineering to build intelligent services and working alongside Data Scientists to deploy scalable AI-driven features and applications. A familiarity with cloud-based AI/ML services in Snowflake Cortex or DOMO AI would be a strong advantage. More ❯

you will support the development of internal solutions for our Tax Team. You will be involved in the end-to-end delivery of multiple tax technology solutions, collaborating with data analytics, visualization, and automation teams to deliver high-quality, robust outcomes. You will engage in all stages of solution development, from idea generation to rollout. Key Responsibilities: Building automations … conducting research into emerging technologies, testing, and identifying useful innovations for the tax department. Supporting training and upskilling of the tax department to optimize technology use. Collaborating with the data analytics community to share knowledge and drive new ideas. Proactively participating in technology projects from initiation to deployment. Developing technical expertise through personal development. Working across service lines to … about improvements, this role is ideal for you. We value diverse experiences and perspectives. Our preferred qualifications include: Experience in tax technology Strong knowledge of Python and SQL for data analytics Understanding of tax compliance processes Proficiency with MS Office Desirable qualifications include: ATT or equivalent qualification Experience with Alteryx and certifications Knowledge of relational databases and Agile methodology More ❯