151 to 175 of 379 Data Science Jobs in London

seeking a Head of Data to lead the execution of their data roadmap. This role demands hands-on leadership, overseeing a team involved in analytics engineering, data science, and data engineering. You will drive initiatives like unified customer views and real-time data reporting … while ensuring data governance in an FCA-regulated environment. The ideal candidate will possess expert technical skills and a proven leadership history within fintech or regulated financial settings. This position is fully remote with flexible working arrangements. #J-18808-Ljbffr ...

strongly desire to contribute to a groundbreaking project that will transform the future of language learning and assessment. While this role does not require data science skills, experience delivering production systems with AI components is highly desirable. Main Accountabilities Collaborate with the Technology Lead, product managers, experience designers … applications, is desirable. Experience working on AI/ML/LLM-based applications is desirable. Beneficial technical skills include: AWS – including certification Terraform Kubernetes Data science/ML tooling – scikit, TensorFlow, hugging face, pytorch Any ML/Gen AI tooling such as Langchain, Langsmith, ML Flow, Dataiku, Data ...

triggers, ensuring auditability and regulatory compliance. Drive dual-track discovery, running research ahead of delivery, producing testable designs and insights to inform engineering and data science teams. Collaborate cross-functionally with Product, Engineering, Data Science, and stakeholders to deliver accessible, inclusive, and high-performing user experiences ...

implementation phases. The successful candidate will combine strong design thinking with strategic problem-solving skills and will be comfortable working in multidisciplinary teams alongside Data Scientists, Engineers, Product teams, and business stakeholders. This is an opportunity to influence the future direction of AI-enabled customer and colleague experiences through … services are intuitive, effective, and user-centred. Facilitate workshops, design sessions, and collaborative working groups to drive alignment and decision-making. Work closely with Data Science and Engineering teams to design feasible and scalable AI-enabled services. Create service blueprints, user journeys, process maps, and other service design ...

engine that will help us ship new products and features quickly while keeping risk and cost low. This will involve working closely with Product, Data Science, Fraud Prevention Analysts and our Fraud agents to strike the right balance between scaling quickly and mitigating risk efficiently.Key Responsibilities:- Build … fraud engine for new products and features.- Collaborate with Product, Data Science, Fraud Prevention Analysts, and Fraud agents.- Strike the right balance between scaling quickly and mitigating risk efficiently.Requirements:- Hands-on experience with distributed systems, including microservices architecture and backend services supporting large-scale traffic.- Proven ability ...

Lead Data Analyst London, Hybrid 2 to 3 days per week in office£55,000 plus benefitsNo sponsorship offered This is an excellent opportunity for a Lead Data Analyst to join a fast growing data and technology business working at the intersection of media, marketing, and analytics. … effectiveness and campaign performance. Founded within the last decade, they have quickly scaled to a team of around 100 specialists across analytics, engineering, and data science. Their work spans the full campaign lifecycle, from pre campaign strategy through to performance evaluation, leveraging proprietary technology and data driven insights ...

engineering organisation through a critical period of growth and transition. Reporting to the CPTO, and working as an equal partner to Product and Data Science, you'll lead an experienced engineering organisation spanning product engineering, platform, technical support, and IT — with a substantial team of managers, leads, principals … team level Strategy & Architecture Define and evolve the technical strategy for how Beamery builds and operates its platform — in close alignment with product and data science direction Embed AI-first ways of working across the engineering organisation — accelerating delivery pace, reducing time to market, and building a culture ...

Graduate Data Scientist London - 4 days a week The Company They are a modern, data-driven insurance provider focused on delivering flexible, tailored policies to customers. The business has expanded its product offering and built strong commercial partnerships, driving rapid growth. With around 100 employees, they are scaling … quickly and investing heavily in advanced analytics and modelling. The culture is collaborative, fast-paced, and centred on innovation. The Role As a Graduate Data Scientist, you will work on models that sit at the core of the business and support key commercial decisions. Develop predictive models across pricing ...

Future Transport & Infrastructure. But what truly sets us apart is our people. WHO WE ARE LOOKING FOR: A technical leader who’s built modern data platforms and integration systems at scale. Someone who’s equally comfortable designing cloud architecture and rolling up their sleeves to solve hard problems. … worked in media/events/SaaS. Must-haves: Senior engineering leadership experience (Head of Engineering, Engineering Manager level) Proven track record building data platforms for analytics and AI/ML Deep Microsoft Azure expertise Hands‐on experience with Databricks, APIs, and integration platforms Strong understanding of MLOps ...

Marketing Technology is responsible for driving profitable growth and player engagement across global markets by enabling smarter, faster, and more responsible marketing through data and technology.This role ensures marketing technology delivers measurable outcomes across the full marketing lifecycle from acquisition through to retention, while operating within complex regulatory environments. … Engagement & Personalisation* Use the marketing stack to deliver highly personalised, event-driven experiences across sportsbook, casino, and gaming products* Activate first-party and behavioural data to trigger relevant offers, content, and promotions at the right moment using marketing technology* Deliver seamless omnichannel journeys and use cases across ...

comprehensive fraud and abuse strategy, anticipate emerging threats, and own the risk framework, measurement, and executive reporting. Detection & Prevention: Partner with Product, Engineering, and Data Science to design and optimize scalable, balanced detection systems (rules-based, ML-driven) that minimize both user friction and platform harm. Investigations & Enforcement … fintech, etc.). Team Leadership: Proven track record of leading fraud/trust teams, managing both strategy and operations. Technical Partnership: Experience collaborating with data science and engineering teams to build advanced detection systems, with familiarity in ML concepts. Investigative Expertise: Demonstrated ability to lead complex, high-stakes ...

Trainline platform Own end‐to‐end delivery across the Supply Platform domain, ensuring initiatives deliver measurable operational and business impact Partner closely with Product, Data Science, Commercial, and Supply stakeholders to align technical strategy with evolving customer, platform, and business needs Drive the adoption of AI‐enabled … emerging technologies can improve scalability and efficiency Strong collaboration and stakeholder management skills, with the ability to work effectively across Engineering, Product, Data Science, Commercial, and Operational teams Confidence navigating ambiguity and complexity, bringing clarity, alignment, and momentum across teams and initiatives Experience working with APIs, distributed systems ...

guide prioritization and to hold DRIs accountable for outcomes at the country and regional level. Design and run experiments across the funnel , partnering with Data Science and UXR to understand user behavior, size opportunities, and validate the impact of new product bets in specific markets. Translate regional expertise … growing products in multiple countries, adapting product experiences to local behaviors, regulations, or infrastructure, and partnering with regional teams to build repeatable playbooks. Strong data and experimentation skills : comfortable defining metrics, digging into country‐level analytics and scorecards, designing experiments, and using both quantitative and qualitative insights to inform ...

operations through experimentation, causal inference and machine learning. From optimising rider dispatch to personalising customer journeys and forecasting demand at scale, we turn complex data into measurable business impact. We’re looking for an Analytics Engineering Director to join our team in either London. In this role … define the long‐term vision for how we model and govern data, ensuring our global teams have the high‐quality foundations needed to drive mission‐critical decisions at scale. Location: London - The River Building HQ Employment Type: Full time Location Type: Hybrid Department: Deliveroo Cost Center Hierarchy Technology Technology ...

Product Manager focused on our One Mintel AI Platform Proposition & Roadmap, you’ll: * Lead cross-functional strategic initiatives across the product portfolio.* Drive lean, data-driven product development that delivers measurable ROI.* Ensure strategic alignment between product vision and company-wide goals.* Partner closely with senior global stakeholders … commercial reality, competitive intelligence, and long-term impact.Drive Strategic Delivery: * Lead high-priority, cross-team and cross-functional initiatives, guiding other product managers, design, data and engineering teams toward aligned outcomes.* Orchestrate large-scale initiatives across commercial, marketing, data, futures and engineering teams, with trust and influence ...

Contract Job alert** Seeking 2x Data Scientist 6 months+ on-going contract - 3 days on site near Heathrow - Inside IR35 Please note that UK-based candidates only - 5 years of UK residency and, ideally, a British citizen is required. 1x Data Scientist (Supply Chain)Must have -A deep … knowledge of supply chain models and analytics, to help build the right models with the right science behind them. Including: o Understanding of how to handle/model slow moving partso Multi-echelon inventoryo How to balance cost and service levels (fill rates and cycle service levels)o Developing ...

heart of everything we do; creating a culture of proactiveness and a customer‐centric mindset guides us to create a unified platform that makes data and AI accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. … level technical credibility and "Hunter" mindset to win mindshare and acquire new logos. Join us in our quest to change how people work with data and make a better world! Reporting to the Manager, Field Engineering The impact you will have: Executive Evangelism & Thought Leadership: Act as a "Field ...

Based (Remote/Hybrid) Contract Type: Contract We are expanding our network of senior Snowflake professionals for a range of upcoming client engagements across data transformation, cloud migration, analytics, and enterprise data platform programmes. We are keen to speak with experienced Snowflake consultants who can demonstrate both strong … technical capability and a successful track record delivering solutions within complex enterprise environments. Certifications SnowPro Advanced Architect SnowPro Advanced Data Engineer SnowPro Advanced Data Scientist SnowPro Advanced Administrator SnowPro Advanced Data Analyst Requirements Minimum 10 years of experience within Data, Analytics, Engineering, Architecture, Cloud, or Consulting ...

Company Our client is a Big 4 professional services firm whose Audit Technology team is at the forefront of innovation combining Artificial Intelligence, Data Engineering, Analytics and Software Development to transform how audit is delivered. Backed by a global network and significant investment in technology capability, the team … architectural decisions Developing and deploying production-grade AI systems using Azure, Databricks and Generative AI tooling Owning the implementation of ML pipelines, APIs and data integration workflows Enforcing MLOps best practices, coding standards, version control and performance optimisation Collaborating cross-functionally with data scientists, product managers, platform engineers ...

learning solutions to enable advanced analytics, automation, and decision-making across complex government systems. This is a hands-on engineering role, working closely with data scientists, analysts, architects, and product teams to productionise models, build data pipelines, and embed ML capabilities into live services. Key Requirements Active Security … Scikit-learn, TensorFlow, PyTorch) Experience building and deploying ML models into production environments Strong knowledge of cloud platforms, particularly: Azure (ML Studio, Azure ML, Data Factory, Synapse) Experience in AWS environments is beneficial Experience with MLOps practices and tools (CI/CD pipelines, model monitoring, versioning) Strong understanding ...

Machine Learning Engineer at JPMorgan Infrastructure Platform, you will be at the forefront of combining cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state-of-the-art in AI as applied … prompt-based model performance. Develop and maintain tools and frameworks for prompt-based agent evaluation, monitoring, and optimization at enterprise scale. Build and maintain data pipelines and processing workflows for scalable, efficient data consumption. Write secure, high-quality production code and conduct code reviews. Partner with Engineering, Product ...

Machine Learning Engineer at JPMorgan Infrastructure Platform, you will be at the forefront of combining cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state-of-the‐art in AI as applied … prompt-based model performance. Develop and maintain tools and frameworks for prompt-based agent evaluation, monitoring, and optimization at enterprise scale. Build and maintain data pipelines and processing workflows for scalable, efficient data consumption. Write secure, high-quality production code and conduct code reviews. Partner with Engineering, Product ...

Data Science Festival is seeking a Staff Data Scientist based in London, offering a salary of £120K – £140K plus equity. This strategic role focuses on geospatial data and operational optimization, requiring the candidate to lead product development and collaborate with multiple teams to improve movement patterns … efficiency. The ideal applicant will possess strong Python and SQL skills, experience with geospatial data, and the ability to build impactful data products. Candidates should be ready to tackle complex real-world data challenges. #J-18808-Ljbffr ...

alongside exceptionally talented teammates. Our industry evolves rapidly, and our mission is to build a flexible, AI-driven platform that automates entity resolution, optimizes data labeling pipelines, and creates predictive models that identify illicit patterns before they escalate. Our data and solutions have been used to solve some … world's most high-profile criminal cases and grow consumer access to cryptocurrency safely. Now, by pairing the industry's most trusted blockchain data with agents that reason, investigate, and act, we help our customers scale their workflows as the cryptocurrency economy becomes increasingly mainstream. The Clustering and Exposure ...

into Proton VPN, Proton Drive, Proton Pass, and Proton Calendar - tools used by millions globally to protect their freedom, fight censorship, and keep their data safe. In some situations, Proton has literally helped save lives. We are profitable, independent (no VC control), and selectively hire from … scale are yours to build. You'll be equally comfortable designing a lifecycle framework, configuring the platform that runs it, and digging into the data to prove it works. You know what events, attributes and signals each program needs, and you work closely with Data and MarTech teams ...