1,351 to 1,375 of 1,650 Data Science Jobs in London

with leadership teams to embed GenAI, AI, and machine learning into business operations Work with the technical teams to implement suggested changes Responsible for Data and AI Due diligence for M&A's Provide strategic guidance on digital transformation and AI adoption Required Experience Deep expertise in Gen AI … of AI due diligence & governance for PE backed businesses throughout M&A lifecycle Desired Experience Experience in an Executive level position Technical background in data science or AI engineering More ❯

with leadership teams to embed GenAI, AI, and machine learning into business operations Work with the technical teams to implement suggested changes Responsible for Data and AI Due diligence for M&A's Provide strategic guidance on digital transformation and AI adoption Required Experience Deep expertise in Gen AI … of AI due diligence & governance for PE backed businesses throughout M&A lifecycle Desired Experience Experience in an Executive level position Technical background in data science or AI engineering More ❯

3+ years of experience and hands-on skills in product design with capability in bringing a product from concept to completion, ideally working on data platforms, machine-learned systems, and/or sophisticated backend and front-end systems for real business use cases. Experience building platforms from the ground … ability to influence stakeholders at all levels. Proven track record of on-time and quality delivery of software products. Partner with UX research, design, data science, engineering & other product teams to deeply understand user needs, and competitive landscape, and to scope, build & iterate products that delight and deliver More ❯

of belonging for all. Founded in 2016 by a small team, Quantexa was built with a vision of enabling better decision making through better data-driven intelligence. Seven years, twelve locations and 700+ employees later we recently gained "Unicorn" status with our Series E funding round. Our Analytics teams … maintain versioning, governance, and monitoring tools for models using MLOps tools such as MLFlow, Kubeflow, or DVC. Ensure secure and compliant handling of sensitive data in production environments. Pipeline Automation Build and maintain robust automated pipelines for training, validation, deployment, and retraining of machine learning models. Collaborate with data engineers and data scientists to create continuous, automated workflows for data preparation, model training, and evaluation. Implement automated model retraining based on performance metrics and new data availability. Monitoring & Maintenance Develop and implement monitoring systems to track model performance in production environments, including setting up real More ❯

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 ❯

instrumental in shaping the future of our advertising products focused on digital commerce. You will leverage your extensive experience to lead market assessments, analyse data, and gather qualitative feedback to represent market needs internally to Product Management and Engineering teams. Your insights will directly influence the development of both … programs. Effectively communicate progress and insights to internal stakeholders through regular readouts. Build strong relationships and influence stakeholders across various teams, including Product, Engineering, Data Science, and Sales. Qualifications: Solid years of professional experience in product marketing within the technology or internet technology sectors, strategic marketing, product management More ❯

instrumental in shaping the future of our advertising products focused on digital commerce. You will leverage your extensive experience to lead market assessments, analyse data, and gather qualitative feedback to represent market needs internally to Product Management and Engineering teams. Your insights will directly influence the development of both … programs. Effectively communicate progress and insights to internal stakeholders through regular readouts. Build strong relationships and influence stakeholders across various teams, including Product, Engineering, Data Science, and Sales. Qualifications: Solid years of professional experience in product marketing within the technology or internet technology sectors, strategic marketing, product management More ❯

with over 1500 people around the world. We offer full-service marketing and brand experience solutions from advertising to media buying, content production to data science, customer mapping to platform design & build. Bernadette is a friendly and knowledgeable team of 80 specialists across Strategy & Data, UX, Design More ❯

with over 1500 people around the world. We offer full-service marketing and brand experience solutions from advertising to media buying, content production to data science, customer mapping to platform design & build. Bernadette is a friendly and knowledgeable team of 80 specialists across Strategy & Data, UX, Design More ❯

platform for manufacturing that uses AI to improve worker productivity and safety by analyzing manual assembly work. Education Requirements: Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent experience. Experience Requirements: 5+ years of experience building and managing infrastructure at scale, particularly on the … Scaling existing tools. Enhancing automation for scaling infrastructure. Playing a key role in diversifying and scaling platform. Evaluating options to replace existing real-time data pipeline. Providing platform support to engineering. AppTek.ai provides AI-powered speech and language solutions including ASR, NMT, NLP/U, LLMs, and TTS, serving … diverse industries globally. Education Requirements: BS in a field related to Computational Linguistics, Computer/Data Science. Experience Requirements: 2+ years of industry experience (desirable for Site Reliability Engineer role). Other Requirements: Strong knowledge of Linux. Strong knowledge of AWS. Docker. Scripting languages (Bash, Python). Familiarity with 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 ❯

setting Experience with Salesforce or similar CRM systems (a plus!) 🌍 Why Join? Be part of a globally connected team with a strong reputation in data science and analytics A supportive environment where your ideas are valued and your contribution matters Clear room for development and the chance to More ❯

setting Experience with Salesforce or similar CRM systems (a plus!) 🌍 Why Join? Be part of a globally connected team with a strong reputation in data science and analytics A supportive environment where your ideas are valued and your contribution matters Clear room for development and the chance to 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 ❯

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 5-star customer service. The team The mission of the iwoca People Operations team is to develop and implement strategies that 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 ❯

Role - SaaS/AI Client - Java/JavaScript I am looking for a Senior Fullstack Engineer to work closely with the Product team and Data Scientists to define and execute on the future path for our client's products. Profile needed; - Strong understanding of Java & JavaScript/TypeScript (Happy More ❯

to-end UX research using mixed methods (quant + qual) Conduct usability testing for developer-facing tools (simulation and performance) Partner with PMs, engineers, data scientists, and designers to influence product decisions Create research roadmaps and translate findings into actionable recommendations Work with VR/XR teams focused on More ❯