1,451 to 1,475 of 1,779 Data Science Jobs in London

products and services. Utilise large datasets and analytics tools (e.g., Brandwatch & Audiense) to uncover key information and provide actionable insights. Collaborate internally across Insights, Data Science, and Strategy teams to create visually compelling and concise reports for client stakeholders. Deliver impactful presentations of key findings to clients. About … in the FMCG industry! Profile: Fluent in German, Spanish, or Italian and English, both written and spoken. Passionate about understanding human behaviour and turning data into impactful stories. Great communication skills and detail-oriented. Capable of self-motivation, multitasking, and effective prioritisation. Excellent team player. To apply, please send More ❯

and we aspire to be industry leaders in how we operate. That means taking a fresh look at everything from how we ingest new data sources, develop new scorecards, propose and run credit experiments, monitor our portfolio and much more. The team's remit is to build products throughout … the highest impact priorities that contribute to wider business goals. You'll work iteratively and collaboratively with credit risk, engineering (especially analytics engineers), research, data science, compliance and many others to refine your plan and execute against it effectively. You'll help to shape product strategy across Monzo … of doing things. You're not afraid to ask the "obvious" questions and you use the answers to challenge the status quo. You're data driven, passionate about metrics, and intellectually honest about how your work is performing and driven to continuously improve it. You're full of novel More ❯

of customer needs and market opportunities, and how we'll continue to differentiate ourselves and grow. Work iteratively and collaboratively with design, engineering, research, data science, compliance and many others to refine your plan and execute against it effectively. Lead the planning process and associated roadmap prioritisation ensuring … of delivering P&L impact through product work. You're passionate about building value for customers and not just achieving business results. You're data driven, passionate about metrics, and intellectually honest about how your work is performing and driven to continuously improve it. You're creative, opportunistic, and More ❯

Senior Data Scientist - Python - SQL - Blockchain - Hybrid (London) - £75k-£95k (Equity Offered) Currently working with a client in the Crypto industry who is looking for a motivated senior data scientist to join their team and help prevent financial crimes and allow cryptocurrencies to be used for good. Responsibilities … Work in a highly collaborative environment with engineers, blockchain analysts, data scientists, researchers. Your shared goal is creating intelligence, you contribute in different ways. Be deeply opinionated about where we're spending our time, and how we can increase the value of our intelligence. Own your time and output. … powerful model? Participate in a collegiate group of blockchain experts, share your knowledge across our business wherever it is effective. Requirements: Is comfortable querying data with SQL and Python. Can optimise queries for huge datasets. Has a solid understanding of blockchain ecosystem elements like DeFi, Exchanges, Wallets, Smart Contracts More ❯

Senior Data Scientist - Python - SQL - Blockchain - Hybrid (London) - £75k-£95k (Equity Offered) Currently working with a client in the Crypto industry who is looking for a motivated senior data scientist to join their team and help prevent financial crimes and allow cryptocurrencies to be used for good. Responsibilities … Work in a highly collaborative environment with engineers, blockchain analysts, data scientists, researchers. Your shared goal is creating intelligence, you contribute in different ways. Be deeply opinionated about where we're spending our time, and how we can increase the value of our intelligence. Own your time and output. … powerful model? Participate in a collegiate group of blockchain experts, share your knowledge across our business wherever it is effective. Requirements: Is comfortable querying data with SQL and Python. Can optimise queries for huge datasets. Has a solid understanding of blockchain ecosystem elements like DeFi, Exchanges, Wallets, Smart Contracts More ❯

Develop detailed market maps, maintain competitive intelligence, and build expertise across multiple verticals Stay ahead of industry trends and innovations in quant finance and data science What We&rsqu... More ❯

Job Description Our client is a medium sized highly successful data science company, which develops sophisticated and specialist mathematical solutions. Their artificial intelligence has led on global-first achievements across many industrial, commercial and academic settings. Following a long period of steady, unprecedented growth, they are looking to More ❯

Key Responsibilities · Deploy large-scale or small language models (LLMs/SLMs) using inference engines (e.g., vLLM, Triton, etc.). · Collaborate with research and data science teams to fine-tune models or build automated fine-tuning pipelines. · Extend inference-level capabilities by integrating advanced features such as multi More ❯

best products. Create or contribute to high-fidelity design mocks using Figma. Collaborate daily with peers across disciplines, including engineering, design, research, marketing and data science, to take products from conception to launch. Partner with our internationalization team to ensure product experiences are of the highest quality in More ❯

best products. Create or contribute to high-fidelity design mocks using Figma. Collaborate daily with peers across disciplines, including engineering, design, research, marketing and data science, to take products from conception to launch. Partner with our internationalization team to ensure product experiences are of the highest quality in More ❯

Leader Strongly funded by top investors ($100M) Circa 300 employees based in New York, London, and multiple global offices Supported by a world class Data Science team Considerable reputation for internal training and development. 2 out of 3 of their SDRs become AEs or AMs within 2 years More ❯

Leader Strongly funded by top investors ($100M) Circa 300 employees based in New York, London, and multiple global offices Supported by a world class Data Science team Considerable reputation for internal training and development. 2 out of 3 of their SDRs become AEs or AMs within 2 years More ❯

into teams and projects. You'll bring your experience of leading a commercial Delivery Management function or team, collaborating with a range of technical (data science, product, engineering) and non-technical disciplines (finance, operations, commercial, and strategy teams), as well as technical delivery management or technical project management More ❯

You'll drive enterprise sales opportunities through technical excellence and deep customer understanding, while managing internal teams and client partnerships. Working closely with Product, Data Science, and Engineering teams, you'll ensure seamless delivery of Axion's platform capabilities to enterprise clients. Success in this role requires a More ❯

Role type: Permanent, Full Time Location: UK - Hybrid Preferred start date: ASAP LIFE AS A SATALIAN As an organisation, we push the boundaries of data science, optimisation and artificial intelligence to solve the most complex problems in industry. Satalia is a community of individuals devoted to working on More ❯

businesses. We'll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, data science and a 5-star customer service. The role We work with a host of commercial finance brokers and business advisors across the More ❯

Associate Data Scientist Up to £120,000 London (Hybrid, 4 days onsite per week) Company: Join one of the world’s leading private equity firms, with a strong global presence and have partnered with hundreds of businesses across a wide range of sectors to support long-term growth and … making it a dynamic environment for ambitious professionals looking to make a real impact. Responsibilities: Support the investment and deal teams by delivering deep, data-driven insights into potential acquisition targets. Responsible for evaluating market dynamics, identifying growth opportunities, and building predictive models to assess financial and operational performance. … multi-million (and often billion)-pound deals. Collaborate with internal teams to deliver commercial and operational due diligence Be at the forefront of identifying data-led value creation strategies across the private equity lifecycle. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related More ❯

Associate Data Scientist Up to £120,000 London (Hybrid, 4 days onsite per week) Company: Join one of the world’s leading private equity firms, with a strong global presence and have partnered with hundreds of businesses across a wide range of sectors to support long-term growth and … making it a dynamic environment for ambitious professionals looking to make a real impact. Responsibilities: Support the investment and deal teams by delivering deep, data-driven insights into potential acquisition targets. Responsible for evaluating market dynamics, identifying growth opportunities, and building predictive models to assess financial and operational performance. … multi-million (and often billion)-pound deals. Collaborate with internal teams to deliver commercial and operational due diligence Be at the forefront of identifying data-led value creation strategies across the private equity lifecycle. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related More ❯

the implementation of AI-powered systems that solve complex business challenges. You will work across large-scale digital transformation programmes, collaborating closely with engineers, data scientists, and business stakeholders to ensure AI initiatives are aligned with strategic objectives. Key Responsibilities Lead the architectural design of advanced AI and machine More ❯

and attend in-person meetings or events when needed. Key Responsibilities Manage end-to-end recruitment processes for technical roles (e.g. Software Engineers, DevOps, Data Scientists, etc.) Collaborate with hiring managers to define job requirements and ideal candidate profiles. Source candidates using various platforms including LinkedIn, job boards, and More ❯

and attend in-person meetings or events when needed. Key Responsibilities Manage end-to-end recruitment processes for technical roles (e.g. Software Engineers, DevOps, Data Scientists, etc.) Collaborate with hiring managers to define job requirements and ideal candidate profiles. Source candidates using various platforms including LinkedIn, job boards, and More ❯

new opportunities. Key Responsibilities 👥 Team Leadership & Collaboration Lead a high-performing team of frontend and backend engineers Collaborate with Product Managers, Designers, QAS, and Data Scientists Partner with the Product team to shape ideas into delivery plans and launch successful features Contribute to architectural decisions, coding, testing, and deployment More ❯

new opportunities. Key Responsibilities 👥 Team Leadership & Collaboration Lead a high-performing team of frontend and backend engineers Collaborate with Product Managers, Designers, QAS, and Data Scientists Partner with the Product team to shape ideas into delivery plans and launch successful features Contribute to architectural decisions, coding, testing, and deployment More ❯

and IT service management. Since its founding in 2017, SymphonyAI today serves 1500+ Enterprise customers globally and has grown to 3,000 talented leaders, data scientists, and other professionals across over 30 countries. Visit here , for more information about how we hire, what's in it for you, our More ❯

cross-functional, autonomous teams and groups. Our teams are mission-driven, and typically include Product Managers, backend, web and mobile engineers as well as data scientists, designers and subject matter experts relevant to that mission. Teams are organised into groups, and then collectives - we aim to keep our line More ❯