326 to 350 of 401 Data Scientist Jobs in London

Kharon is seeking a full-time Data Scientist for Retrieval & Agentic Systems based in London. You will own Corestream and evolve semantic search, leveraging BM25, vector search, RAG, and RDF-like pipelines. You will integrate risk outputs into search and drive narrative generation, collaborating with Product and Engineering ...

Hamilton Barnes Associates Limited is seeking a Customer-Facing AI Data Scientist to lead LLM-driven engagements for enterprise clients. You will architect training pipelines, fine-tune models, and translate client needs into actionable technical plans, partnering with sales and delivery teams to ensure commercially viable outcomes. ...

relaytech.co is looking for a Senior Data Scientist to develop intelligence for pricing decisions in their last-mile marketplace. This senior role involves collaborating with scientists and engineers to analyze and define pricing strategies while making impactful decisions every day. Located in Shoreditch, the office is designed ...

Gujral in London is seeking a Data Scientist and Python Software Developer to join a product team focused on building well-engineered analytics-driven products for retailers and suppliers. You will translate statistical methods into production-ready Python code, collaborate with analysts, and contribute to scalable data ...

Come join the Equifax UK Data & Analytics team and develop market leading fraud scores, models and analytical solutions using the latest cloud based technologies, techniques and tooling. Be part of a growing and diverse team tasked with creating the next generation of statistical models, machine learning algorithms … business e.g. consumer fraud models, commercial fraud models, synthetic fraud, payment intent models, and loan stacking indicators and models Utilise and blend all available data sources to ensure all fraud models are highly predictive and market leading - consumer bureau data, postcode insights, open source data,transactional insights ...

Tripledot Studios Limited, a leading mobile games company, seeks a Data Scientist for the Experimentation team to define statistical logic and prototype analyses in Python. You will ensure platform outputs are accurate for product teams across our games portfolio. Initially you will perform hands-on QA, compare results ...

Expedia Group is seeking a Data Scientist II, Hotel Enterprise Partnerships Analytics within the Supply and Marketplace Analytics team. You will work with large datasets, analytics products, and cross-functional partners to explain performance, identify opportunities, and create recommendations that help Expedia Group and its partners grow. ...

Relation in London is seeking a Data Scientist to bridge computational genomics and machine learning at scale. You will shape our genomics-guided ML efforts to accelerate target identification and validation using large-scale human genetics resources and multi-omics datasets. You will build, refine and deploy cutting ...

Friend MTS is building AI that protects valuable media rights for broadcasters, sports organisations and streaming platforms. As an Applied AI Data Scientist in a hybrid London/Manchester setup, you will work across streaming, network and behavioural data to detect piracy and uncover insights. ...

Medly AI in London is seeking an AI/ML Data Scientist to own how we measure and improve our AI models. You’ll work with founders and engineers who’ve built at Meta and Atlassian, designing benchmarks, evals, and experiments that deliver real improvements for students. From ...

iwoca is seeking a Data Scientist for the Partner Flow team in London, offering a hybrid work arrangement. You will drive experiment design and causal inference to shape growth through partner platforms, and own projects from discovery to delivery. You’ll collaborate with product, commercial and strategy colleagues … building models and performing funnel analyses to guide decisions. Expect ~10% time for research and new methods, with cross-functional engagement across data science, engineering, #J-18808-Ljbffr ...

Onfido, as well as notable founders and angels from Spotify, Stripe, Facebook, Hopin, and Tough Mudder. About the Role You will be joining our Data Science team working on our powerful ReflectAI® tracking technology, which enables real-time form correction, rep counting, and live feedback across modalities such … highly accomplished individuals, each having achieved prior exits. You will find this role to be highly fulfilling. What is Involved Collaborate closely with other Data scientists and our Engineering Team to advance our groundbreaking ReflectAI® technology. Work extensively with MediaPipe and MoveNet to leverage pose estimation coordinates provided ...

just believe in better. We make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, Sky Stream to Sky Glass, we never stand still. We optimise … ideas into the products, content and services millions of people love. And we do it all right here at Sky. Role/Team overview Data Science practice at Sky Data science is at the heart of decision making in Sky and drives a majority of decisions across marketing ...

have opportunities to attend and present at conferences like NIPS and ICML. Your work will create real-world impact. By identifying patterns in data and delivering innovative solutions, you will help clients maintain their competitive advantage and transform their day-to-day operations. Your contributions will directly influence business … outcomes and drive lasting improvements across industries. You will be based in London and collaborate closely with Data Scientists, Data Engineers, Machine Learning Engineers, Designers, and Product Managers worldwide, working on interdisciplinary projects that use math, statistics, and machine learning to derive insights from raw data. You will ...

this role, you'll Own the execution of one or more production data science projects, translating broad problem statements into well‐scoped tasks and credible analytical results that meet stakeholder expectations. Design, develop, and validate novel behavioral heuristics and algorithms over EVM (and other) blockchain data to attribute … learning to large‐scale on‐chain datasets. Identify and resolve inefficiencies in code, methodology, and workflows; ensure your work integrates cleanly into our production data and tooling stack. Clearly articulate and defend methodology and results to both technical and non‐technical stakeholders, maintaining alignment through consistent communication. Mentor junior ...

LexisNexis Risk Solutions is seeking a data engineer to design and operate scalable data pipelines and models that power marketing analytics and real-time decisioning. You will work across cross-functional teams to deliver high-quality data assets for segmentation, attribution, and journey orchestration. You will implement … governance, identity resolution, and GDPR/PII controls while collaborating with analytics, MarTech, and marketing stakeholders to align data solutions with business goals. #J-18808-Ljbffr ...

101406640144Posted: 2026-10-01Location: London, England, United KingdomCategory: Technology, Data Science, ProfessionalCompany: CitiAbout Citi MarketsAt Citi Markets, we win together. In a rapidly changing world, our shared vision gives us the clarity, agility and global perspectives we need to shape the future. That's why collaboration plays … income, currencies, commodities, equities, and prime finance, providing institutional clients worldwide with comprehensive sales, trading, and risk management solutions. The RoleResponsible for taking complex data problems the business is facing, analysing, and presenting to stakeholders. This includes the development of tools that aim for as much transparency and accessibility ...

Build predictive models for workforce analytics and talent acquisition. You will lead a team of data scientists to uncover actionable insights from complex HR datasets. Requirements Ph.D. or Master's in Computer Science, Statistics, or related field. 7+ years of experience in data science and predictive modeling. Expertise … Python for data analysis. Experience with big data technologies (Hadoop, Spark). Ability to translate complex data into business strategy. Highly competitive salary and stock options. Relocation assistance if required. State-of-the-art workstation and tech budget. Regular team offsites and hackathons. Apply for this position ...

online payments. Further information is available at www.paysafe.com. It starts here. Have a global impact on the world of payments. As Director, Merchant Risk Data Science, you will play a hands-on technical leadership role, working with groups of data scientists, driving the design and delivery of next … generation AI/ML models for merchant risk at Paysafe. Reporting to the Head of Merchant Data Science, you will focus on advanced modelling, applied research, and production delivery, building on existing foundational models to push capability into modern AI techniques. The role is highly technical, requiring deep expertise ...

currencies, commodities, equities, and prime finance, providing institutional clients worldwide with comprehensive sales, trading, and risk management solutions. The Role Responsible for taking complex data problems the business is facing, analysing, and presenting to stakeholders. This includes the development of tools that aim for as much transparency and accessibility … Markets Capital Advancement team is the central team that drives and oversees execution and management of capital initiatives. Primary Responsibilities of the Role Provide data-driven analysis and insights to product desks and key business partners to support informed decision-making. Conduct strategic and complex data analysis, identifying ...

Role purpose Apply advanced analytics, data science and machine learning to cyber security problems. Develop security analytics and knowledge graph capabilities that improve threat detection, risk prioritisation and decision support. Key responsibilities · Develop machine learning and statistical models for threat detection, anomaly detection and security risk analytics. · Design features … effectiveness. · Partner with security analysts and engineers to productionise analytical use cases. · Perform exploratory analysis and communicate insights through clear visualisations and narratives. · Establish data science standards, experimentation methods and model monitoring practices. · Support responsible and secure use of AI within cyber security operations. Essential experience and skills · Minimum ...

global technology company. The Reliability Analytics Team is on a mission to improve decisions and systems in Platform Reliability Engineering (PRE) through data and data science. We address a broad spectrum of reliability problems where data-driven approaches can be applied, combining subject matter expertise with statistical ...

your data science and AI expertise to work on challenges that strengthen a global firm and create real-world impact. You will help design and deliver transformative AI and advanced analytics solutions that can be adopted at scale. You will collaborate closely with Product, Engineering, and business partners … enjoy turning ideas into resilient products and improving how models perform over time, this role offers meaningful growth and visibility. As an Associate, Data Science in the Data Science team within Risk Management and Compliance, you will explore, pilot, and implement impactful AI solutions in partnership with Product ...

also gain responsibility quickly and see your work have a direct impact. What You’ll Do In short, you’ll own Fyxers data science capabilities — you’ll set the roadmap for high-impact business areas like marketing and retention, implement scalable solutions, and ensure stakeholders use data to make confident commercial decisions. You’ll Build and refine predictive models on multi-channel customer and usage data to drive product and marketing decisions. Collaborate with engineering, marketing, sales and product teams to define KPIs, experiment with new algorithms and surface actionable insights that drive impact. Maintain ...

attention to detail, and a continuous desire to improve and expand their machine learning skills. Responsibilities Create statistical summaries to support hypothesis testing and data-driven decisions during EDA Implement data preparation and feature engineering pipelines for the models Plan and implement algorithms for predictive modeling. Provide continuous … model deliveries, support our ML-related libraries/Collaborate with a cross-functional team of specialists, including senior and junior data scientists, Python developers and ML engineers, data analysts, and DevOps specialists. Provide expertise in tuning loss functions, metrics, sample weights adjustment, hyperparameter tuning and model improvement ...