226 to 250 of 325 Data Science Jobs in the City of London

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 more … 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 More ❯

the various user experience and journeys. Design wireframes, prototypes, and high-fidelity UI for a website and mobile app that includes role-based access, custom user dashboards, and complex data visualizations. Create an intuitive and seamless user experience that integrates Tableau dashboards and presents data in a user-friendly manner. Focus on responsive design, ensuring accessibility across all … resolve any issues identified during testing to ensure a high-quality final product. Expected experience: Proven experience in UX/UI design for web applications, app development, especially in data-centric fields like economics or statistics. Proficiency with design tools like Figma, Sketch, or Adobe XD, with strong knowledge of wireframing, prototyping, and user testing. Knowledge about the React … JS and React Native. Experience in designing for user role management and access control, ensuring that different user groups have distinct, intuitive experiences. Familiarity with data visualization tools such as Tableau and their integration into user interfaces. Strong communication and collaboration skills, particularly when working with technical and non-technical teams. Qualifications: Bachelor’s degree in Data Science More ❯

Senior Data Scientist - Early stage AI driven start-up Salary : Up to £90,000 plus equity package Location : Remote first (ability to travel to London on occasion) Type : Permanent Are you ready to take on a pivotal role in building a cutting-edge AI-driven platform? I'm partnered with an ambitious new venture revolutionising how businesses leverage data and video technologies, and they are looking for an experienced Senior Data Scientist to join them at a critical stage of growth. This is a unique opportunity to be an early member of the team in a dynamic and fast-paced environment. You’ll work alongside a talented and dedicated leadership team to create a next-generation data … technology to hold them back, they are focused on innovation - leveraging tools like computer vision and LLM's to solve complex challenges and redefine how businesses manage and measure data performance. You’ll be instrumental in shaping the MVP into a scalable product while contributing to the long-term strategy of an industry-disrupting company. They are seeking a More ❯

Data Scientist Salary: £50,000 - £60,000 Location: Central London Hybrid working, in the office two days a week About the Role Our client is a medium sized telco business looking to hire a Data Scientist who is skilled in Power BI and Microsoft tech stack. They are based in Central London and the position is hybrid working More ❯

Applied Data Scientist (NLP) 9 Months Initial - Outside IR35 - Fully Remote - £350-400pd DOE. We are partnering with a global tech business who are looking for a talented Data Scientist with strong experience in GenAI/NLP to join them on a contract basis As an Data Scientist you will be working on NLP applications for … job will be to: Experiment with different state-of-the-art as well as traditional NLP approaches to find the best solution for the given problem. Independently determine appropriate data and modelling choices. Effectively communicate with technical and non-technical stakeholders. Follow best practices for ML experimentation and MLOps. Required Qualifications: PhD in a relevant discipline or Master’s More ❯

Senior Data Scientist - London - Hybrid Working Salaries - £75 - 100k Central London - 2 - 3 days onsite The client A leading online travel company, this business specialises in affordable, flexible holiday packages by combining low-cost flights with a wide range of hotel options. They operate primarily as a digital platform, allowing customers to tailor their trips easily, with a strong … at production scale. Good understanding of SQL. Experience with Deep Learning. Happy leading end-to-end projects. Knowledge of GCP is nice-to-have. If you are a passionate data scientist, who enjoys solving challenging problems in a fast-paced environment then this could be a great fit. Join the team to make a difference today. London … days onsite Salaries - £75 - 100k Senior Data Scientist - ML, Python, SQL, PyTorch, TensorFlow, GCP If this is of interest please apply or reach out to will.semple@oliverbernard.com. More ❯

s team based in central London. The successful Quantitative Analyst will join a small but very talented team and will be expected to interpret, filter, and analyse very large data sets whilst working closely with other analysts and developers. The successful Quantitative Analyst will be a forward-thinking individual who is more than comfortable working to both their own … initiative and as a team. You will ideally be educated to at least MSc in a quantitative subject such as Mathematics, Statistics, Data Science, Computer Science or Physics. This is an office-based role and as well as very competitive salaries, our client offers an excellent working environment. Skills required: Ideally a MSc in Mathematics, Statistics, Data Science, Computer Science or Physics from strong University from across Europe. Proficient in several of the following: Python, MATLAB, C#, C++, Java Strong research background Mathematical and statistical modelling Excellent Mathematical skills Analytic mindset If you feel you have the skills and experience required for this opportunity, please contact Oliver Wilson at Spectrum IT Recruitment (South) Limited More ❯

SENIOR CREDIT RISK MANAGER £100,000 LONDON THE COMPANY This is an exciting opportunity with a leading UK FinTech that focus on harnessing data to enhance their lending decisions. This business have been growing in recent years and are now in an excellent position. This role offers the chance to work closely with the data science team … drive impact across their lending strategies and broader business profitability. THE ROLE Monitor and adjust lending strategies across the customer lifecycle to enhance profitability and decisioning Collaborating with the data science team to drive model performance and implementation of innovative machine learning models Analysing trends in lending portfolios to drive insight and enhance business performance Leading the incorporation … of new data sources to enhance and improve decisioning YOUR SKILLS AND EXPERIENCE Previous experience in and knowledge of SQL and Python is essential Experience in developing lending strategies in a consumer lending environment Experience monitoring a lending portfolio and customer trends STEM degree from a Russell Group University SALARY AND BENEFITS Base salary of up to More ❯

Opportunity Overview Higher is a specialist executive search firm with over 10 years’ experience in data science and AI recruitment. We work with the world’s most innovative companies, connecting ambitious start-ups and scale-ups with elite candidates that other recruiters can’t reach. We are growing the team and looking to recruit an Executive Search Consultant … . In this pivotal role, you will manage recruitment pipelines, source top data science candidates, build lasting relationships and contribute to our continued growth as a business. Company Snapshot Higher specialises in placing exceptional data science and machine learning talent in the hardest to fill vacancies. We work with companies of every shape and size, offering … bespoke end-to-end recruitment services and the opportunity to plug into our unrivalled global network of data scientists, machine learning engineers, data engineers and data leaders. Higher has become synonymous with quality. We strive to provide an unmatched level of service to all our clients, demonstrating the enduring value of long-term recruitment partnerships in the More ❯

Manager, you will be: Driving analytics and credit strategies for business loans Developing new insights to drive credit risk strategies for acquisitions/underwriting Detecting new trends on customer data to help increase business revenue with existing customer strategy Analysis of internal and external data for strategy decisions Working with senior leadership to implement/improve acquisitions and … existing customer strategy. Using SQL and Python daily for strategy development across the credit risk life cycle Working closely with the data science team using mathematical theories to implement effective strategies for credit risk. Your skills and experience To be successful as a Credit Strategy Manager, you will need: Experience as a credit risk strategy analyst or manager. More ❯

Marketing Analytics Consultant Up to £60,000 London THE COMPANY Join a global leader in data and digital solutions - 7ou'll play a key role in shaping data-driven marketing strategies for a diverse client base, helping them unlock the full value of their data through innovative analytics, AI, and marketing intelligence. THE ROLE This is a … impact, client-facing position where you'll combine digital analytics expertise with strategic consulting to drive measurable business outcomes. Working across international accounts, you’ll be hands-on with data, while also leading stakeholder engagement and shaping solution delivery. Responsibilities: Partner with clients to deliver tailored marketing intelligence strategies that meet KPIs and drive commercial growth Design and implement … data solutions using tools such as GA4, BigQuery, and GCP, with a focus on automation, AI/ML, and insight generation Lead end-to-end client projects: discovery, solution design, delivery, and reporting Provide strategic insight through compelling data storytelling, turning complex analytics into actionable outcomes Collaborate across data science, engineering, and analytics teams to ensure More ❯

intelligent systems that learn from human decision-making, automate complex business processes, and integrate seamlessly across various tools and departments. Your work will be instrumental in creating a unified, data-driven operating system that enhances productivity and efficiency at scale. Key Responsibilities: AI System Development: Design and implement advanced AI solutions to automate and optimize business processes, ensuring high … focus on natural language processing. LLM Expertise: Strong understanding of large language models and grounding techniques. Production Deployment: Experience deploying and monitoring AI models in production environments at scale. Data Science Knowledge: Solid foundation in data science principles and practices. Strategic Thinking: Ability to design and implement complex AI algorithms that solve real-world business problems. More ❯

software that will change how the world approaches nature risk. What you’ll do 🚀 You’ll report directly to the CEO and work alongside our Head of Product, Chief Science Officer, and Head of Delivery. You’ll lead the technology strategy, build a world-class engineering team, and deliver a product our customers love. You will: Own the technology … and lead a high-performing team across backend, frontend, infrastructure, and data. Ensure engineering excellence , balancing quality, speed, and impact. Drive innovation across our product, internal tools, and scientific data workflows. Lead security and infrastructure —including ISO 27001 certification. Stay hands-on —you’re just as comfortable coding and reviewing as you are with strategy. Collaborate at the highest … You should apply if 💡 You have: A proven track record as a senior engineering leader in high-growth B2B SaaS. Experience building and shipping complex products, including those with data science and AI components. Technical depth across Python, Typescript, GraphQL, AWS, and Terraform. A track record of enabling strong engineering culture and delivery practices. Experience in early-stage More ❯

games studio who are seeking a Vice President of Business Performance to lead the strategic and commercial direction of their games. This is a senior leadership role for a data-driven, product-savvy executive who thrives in a fast-paced, high-growth environment. You will sit at the heart of the business - overseeing performance across live titles, informing product … strategy, and partnering with leadership across product, data science, user acquisition, and monetisation. Your insights and direction will help shape the future of our games and the overall growth trajectory of the studio. Overview As VP of Business Performance, you will be responsible for building and scaling a function that turns data into strategic action. You’ll … Own performance forecasting, reporting, and deep-dive analytics across monetisation, engagement, and retention Provide strategic recommendations to executive leadership on roadmap, investment, and game operations Partner closely with Product, Data, UA, and Monetisation to define goals and drive accountability across teams Guide the design and analysis of A/B tests and product experiments Shape commercial strategy for soft More ❯

products for end consumers. This role is for builders and you'll start off as an IC, working with a dedicated cross functional team (incl. engineering, design & user research, data science, data analytics, pricing). The role: High visibility role within the organisation. You'll sit within the most important revenue generating tribe of the business Your … A history of building and shipping impactful products to users. (Please folks, this evidence must be included in your CV) Deep understanding of user metrics (CLTV, ARPC etc) Highly data-driven with the ability to lead on analytics. High level of SQL a must and experience working with BI Tools - (tested in interview process) Huge bonus points if you … come from a data analytics background - data analytics is highly desirable Degree/Msc from top 10 University/business school with strong preference for STEM subjects This role is hybrid, which requires 3 days per week working in the office in London. As part of the interview process you'll be expected to attend in person, in More ❯

Machine Learning & AI Engineering Lead | London (Hybrid) Join Mars on a mission to use data and AI to shape a better world—for people and pets alike. We’re looking for a “ Machine Learning & AI Engineering Lead” to help power Royal Canin’s efforts towards a product lead organisation. You'll play a pivotal role in building scalable AI … the power of technology, machine learning, and AI to fulfil our commitment to constantly optimize our processes and innovate our products, ensuring better nutrition for pets. By connecting Petcare data ecosystems, building generative AI tools, and automating insight delivery, we aim to enhance nutrition and care for millions of pets. This role is central to making that happen. 🎯 What … you'll do: Lead a team of engineers to design and deploy AI/ML and generative AI models Architect MLOps and LLMOps pipelines and coach our data science team on scalable, high-quality code Monitor model performance, define KPIs, and continuously improve solutions Collaborate with cross-functional squads to deliver technical products that create real value powered More ❯

pivotal phase of its technology evolution. With operations across multiple international offices and a 20+ year history of growth, the company is transitioning from legacy systems to a modern, data-centric infrastructure inspired by top-tier professional services models. A newly organized, high-integrity data environment is now in place, laying the foundation for building a best-in … in a high-growth, PE-backed environment. Key Responsibilities: Strategic Execution: Convert company strategy into day-to-day technology solutions that deliver measurable revenue impact within 60–90 days. Data Utilization: Leverage a clean, structured data infrastructure to generate insights, prioritize client targeting, and enhance team performance. Productization & Process Optimization: Transform KPIs into user-centric tools and dashboards … or senior technology leader, preferably in a multi-thousand-user services organization. Demonstrable track record of translating business strategy into rapid, measurable commercial outcomes through technology. Strong expertise in data engineering, data science principles, BI, product management, and systems integration. Experience productizing KPIs and driving user adoption of technology tools across a large, distributed sales-oriented workforce. More ❯

consulting engagements with C-suite clients. This role will be critical in shaping AI roadmaps, advising on large-scale transformations, and growing a high-performing team of consultants and data scientists. The ideal candidate combines deep business acumen with a strong understanding of AI technologies, governance, and adoption dynamics. Responsibilities Client Leadership Serve as a trusted advisor to senior … technical concepts clearly to business leaders and stakeholders Strategy Development Design and deliver AI maturity assessments, strategic roadmaps, operating models, and use case portfolios Guide clients on responsible AI, data governance, and risk management Thought Leadership Represent the company in client briefing and, as required, at conferences, panels etc. Develop intellectual capital including whitepapers, frameworks, and methodologies Practice Development … machine learning, NLP, generative AI), and their practical applications. Understanding of AI governance, risk, and regulatory considerations Excellent communication, stakeholder management, and executive presence Advanced degree in Business, Computer Science, Engineering, or related field; MBA or PhD is a plus Preferred Skills Industry specialization in healthcare, construction, land resources management, energy, or public sector Experience working in or advising More ❯

development and advancement, frequently not available at other consulting firms: Structuring and performing analysis, and conducting primary research, to uncover the insights that support our recommendations to clients Translating data into meaningful insights and recommendations Presenting at team and client meetings, and determining the most practical way to drive lasting results based on your insights working with senior executives … relationship with clients, listen to their challenges and needs. Design and conceptualisation of MVP (Minimum Viable Products), which are early prototypes of Entrepreneurial Solutions Develop methodological skills to search data and gather information. Structure analyses and distil messages on appropriate communication media. Willingness to travel across Europe is required. Additional information Learning Programme: In addition to your operational development … techniques Oral and written communication Advanced Excel modelling Strategy development toolkit Development training in specific programming languages 3HORIZONS symposiums with industry leaders Working directly with business experts, creative designers, data scientists Qualifications Education: Science, Technology, Engineering or Management Masters Degree Experience: 0.5-2 years Languages: Fluent in English and Native in German. Software: Proficiency in Microsoft Excel and More ❯

must have: In depth knowledge of current AI trends including Generative AI, NLP, ML, and legal-specific AI applications (e.g. document automation, legal research, contract analysis). Experience with data science, data and solution architecture, machine learning, generative AI, and other AI-related technologies, with a strong understanding of agile methodologies. Ability to evaluate and implement AI … tools in a safe, ethical, and compliant way, including understanding regulatory and data protection risks. Familiarity with Microsoft Copilot, LLM integrations, and automation platforms. Experience in stakeholder management and communication at the executive level. Demonstrated leadership in technology or innovation roles, preferably in a regulated industry, with the ability to mentor and develop team members. Ability to oversee and More ❯

For more information, please go to www.ascendion.com With Ascendion ( www.ascendion.com ), you: Will get to work on numerous challenging and exciting projects on our various offerings including Salesforce, AI/Data Science, Generative AI/ML, Automation, Cloud Enterprise and Product/Platform Engineering. At Ascendion you have high chances of project extension or redeployment to other clients. Additionally More ❯

Compensation: Competitive, with flexibility for exceptional domain expertise Hybrid working - potential to be remote outside of UK I'm looking for a quant analyst to join this growing quant & data science team with a strong background in mathematical modeling and statistics, ideally with expertise in sports models. This role offers the freedom to build models from the ground More ❯

Principal AI Engineer/Data Scientist Contract - inside IR35 London - hybrid £700-£900 inside IR35 (potential flex, focus in on the right person) Join a high-impact AI R&D team at a major financial player, where you'll be working at the cutting edge of LLMs and agentic workflows in the investment space. The team partners with front … or similar), vector databases, and prompt orchestration to prove out what's possible - then handing off validated concepts to engineering teams for scale-up. They’re open to either data scientists or engineers with strong Python and AI experience. You’ll need to be comfortable working in a fast-paced, collaborative environment and able to bridge technical experimentation with … learn and engage with senior stakeholders. Key experience: Python for AI/ML, automation, or backend work Hands-on with LLMs, agent frameworks, or prompt engineering Exposure to investment data or a willingness to learn quickly AWS (or similar cloud) and rapid prototyping mindset Front-end exposure (e.g. React) is a nice-to-have but not required If you More ❯

experienced Python Developer who loves solving real-world problems with clean, scalable code? Gravitas has partnered with an established Insurtech company that’s reshaping the future of insurance through data and automation. They are looking to take on 5 Developers with a minimum of 2 plus years in backend Python, and experience working in business-to-consumer industries. (Please … role will not be suitable for individuals with a solely consultancy background) 🔧 What You’ll Do Design, build, and maintain scalable backend systems using Python. Collaborate with product managers, data scientists, and engineers to develop innovative insurance solutions. Integrate third-party APIs and work with real-time data pipelines. Write clean, testable, and efficient code. Contribute to architectural More ❯

and high-performance GPU computing. This innovative firm is leveraging cutting-edge GPU technology to optimize machine learning algorithms and computational models, powering the next wave of AI and data-driven applications. Their mission is to drive performance optimization in ML and AI workloads, transforming industries such as autonomous vehicles, healthcare, and immersive gaming experiences. This is a fantastic … and pushing the performance of ML algorithms to new heights. Your work will directly contribute to optimizing ML workloads on GPUs, enabling faster, more efficient computation for large-scale data processing and AI model training. If you’re eager to work at the intersection of low-level GPU programming and machine learning, this is the role for you. Key … running on GPUs, focusing on memory management, parallelization, and performance tuning. Develop and optimize custom GPU drivers and frameworks for ML-specific tasks, including model training, AI inference, and data preprocessing. Collaborate with data scientists and researchers to integrate new machine learning algorithms and enhance their GPU acceleration. Stay up to date with the latest GPU architecture and More ❯