676 to 700 of 871 Data Scientist Jobs in the UK

SCOR is seeking an Actuarial Analyst to join its Analytics Team. You will work on data analytics, programming, machine learning and research and development, with opportunities to lead high-profile projects and collaborate across SCOR and with the global team. You will help deliver the strategic plan by developing ...

what stores sell. The intelligence layer exists to test that claim, house by house, and to make it useful. It joins content and quiz data from the platform to sales data from the maisons, at POS, market and country level. This role owns the models inside it. … suggestions were worth taking. You build them with the engineers in Shenzhen, who ship them into the product. What you will do Join data of very different shapes and tempers: platform events, quiz results, POS feeds, market and country data. Build the correlation work that gives each maison ...

Overview At Deliveroo we have an outstanding data science organisation with a mission to enable the highest quality human and machine decision‐making. We work throughout the company—in product, business and platform teams—using analysis, experimentation, causal inference and machine learning techniques to help make better decisions … improve data literacy across Deliveroo. Responsibilities Which markets/cities should we enter next? How can we incentivise good rider behaviour? What is the impact of exclusive deals we have with restaurants? How do we optimise our compensation policy to keep our customers happy and ordering with Deliveroo? What ...

setting technical direction and ensuring high-quality, scalable model delivery across fraud and transaction monitoring use cases. Driveend-to-end model lifecycle ownership — from data exploration and feature engineering to deployment, monitoring, and performance optimisation. Provide hands-on technical leadership, reviewing Python code, model design, distributed computing approaches … architectural decisions. Manage and develop a team of data scientists, setting standards for technical excellence, delivery discipline, and stakeholder engagement. Engage senior stakeholders (1LOD, Compliance, Control Owners, Technology) to prioritise initiatives, resolve competing demands, and ensure regulatory alignment. Candidate Requirements: Extensive experience building and deploying machine learning models ...

Harnham – Data & Analytics Recruitment is partnering with a leading UK digital insurance business to hire two Senior Data Scientists into its APP pricing team in Leicester. The role is hybrid with 1 day per week in the office. You will develop pricing models for car and van insurance … explore new data sources and apply ML techniques to influence commercial decisions. Strong Python/SQL and ML experience are essential; insurance domain experience is a plus. #J-18808-Ljbffr ...

building a foundation model that turns that sequence into a single, reusable representation of the customer — a transformer trained specifically on Klarna's own data, built in-house rather than adapted from an existing public model, because the patterns it needs to learn don't show up in general … temporal features, deciding on vocabulary size, sequence length, and how information compounds across a sequence.You'll own the model lifecycle end to end, from data preparation and training through to serving it in production.You'll translate research decisions — architecture choices, tokenisation trade-offs — into production systems that ...

person role based at Birkbeck’s Bloomsbury campus. The successful candidate will be expected to work on site.Purpose of the JobTo design and develop data analytics capabilities for the Warestack open-source project, focusing on the collection, processing and analysis of operational data generated by software delivery … DevOps workflows.The postholder will work with data from sources including GitHub Actions, CI/CD pipelines, cloud infrastructure, logs, workflow executions and system events. They will develop analytics, monitoring capabilities and AI-assisted insights to improve operational visibility, reliability and decision-making.Main Duties and ResponsibilitiesDevelop Python-based pipelines ...

National Geographic is looking for a Senior Data Science Engineer to lead projects in the Trading Intelligence Team. This role involves developing statistical models and collaborating across teams to enhance decision-making through data science. The candidate should have a Bachelor's degree in a relevant field … proven experience in data science, strong machine learning foundations, and proficiency in Python or R. Knowledge of Kubernetes and Kafka is desirable. #J-18808-Ljbffr ...

demos and deep-dive sessions Influence AI model selection and technical strategy across PwC projects and client engagements Requirements Strong hands-on experience in Data Science concepts or LLM experimentation using structured evaluation frameworks Highly proficient in Python, including asynchronous programming, multithreading and writing maintainable code Experience deploying … technical direction, communicating clearly and supporting the development of others Available for work visa sponsorship Up to 20% travel Core Competencies Demonstrates expertise in Data Science concepts and LLM experimentation, with a strong focus on building scalable evaluation frameworks and deploying ML workloads on cloud platforms. Proficient in Python ...

Haleon is building a world-class AI & Data Science capability to power Marketing and Consumer Insights with responsible AI at its core. This role contributes to the development of models, pipelines, and tools that enable data-driven decisions across brands and campaigns. You will collaborate with product owners … data engineers and ML engineers, shaping data science solutions from modelling to deployment within Haleon’s agile, performance-focused culture. #J-18808-Ljbffr ...

Communicate results effectively to business stakeholders through written reports, visualizations, and presentations. Stay current with the latest research in LLM, agentic AI, ML, and data science, and proactively identify and leverage emerging techniques to drive ongoing enhancement. Qualifications, Capabilities, and Skills Proven experience applying NLP, LLM, and ML techniques … high-impact business problems. Demonstrated intellectual curiosity and a passion for staying current with the latest advancements in AI, LLMs, agentic AI frameworks, and data science. Proficiency in programming languages such as Python and familiarity with machine learning libraries and frameworks. Excellent communication skills and ability to work collaboratively ...

This is a senior data science role with a Cambridge digital health and AI company, working on models that support diagnosis, triage and clinical decision support. What you will do Own modelling across clinical and device-generated datasets from research through to validation. Build the evidence base that supports ...

generalised approaches that could replace separate credit and CLtV models Land commercial impact and communicate technical decisions Collaborate with a team of approximately twelve data scientists Requirements Background in probability and statistics from a quantitative field Experience building and shipping supervised machine-learning models end to end, including exploration … communication Domain experience in credit risk, lending, or customer lifetime value modelling is a bonus Experience shipping gradient boosting or neural networks on tabular data in production is a bonus Experience with hierarchical models, MCMC, or Bayesian updating is a bonus Experience modelling temporal data involving autocorrelation, drift ...

Checkout.com is seeking an experienced Payments Data Analyst to join our growing analytics team in London. You will translate merchant data into actionable insights, drive experiments, and build automation to monitor merchant performance. You’ll work with SQL and Python to query large datasets from our data ...

Open Data Science is looking for mid-level and senior Data Scientists/ML Engineers to join the team at Wheely. You'll be responsible for the entire process, from ideation to model implementation, tackling challenging tasks like developing driving models and pricing journeys. The position is located ...

CoreWeave is building an ambitious data science platform in the Monolith Data Science team, embedding advanced statistical models into production to improve cluster reliability and cost efficiency. This role sits at the intersection of data science and production systems in a fast-paced AI infrastructure environment. ...

that drive client profitability. You will translate business challenges into modelable solutions and deploy advanced ML algorithms. Ideal candidates will have 4+ years in data science, robust skills in Python and SQL, and familiarity with MLOps. Experience in financial services or related domains is a plus. Send your ...

quantify impact Own model monitoring, drift detection and lifecycle in production Communicate insights to executive stakeholders with clarity What you bring 4+ years applied data science with production deployments Strong Python (pandas, scikit-learn, PyTorch) and SQL Solid grounding in statistics, experimentation and causal inference Experience with at least ...

thought leadership.Establish best practices, technical standards, and evaluation frameworks for the team.What You’ll Need:Advanced degree (PhD or Masters) in Computer Science, Data Science, or a related field.8+ years of applied machine learning/research experience, with demonstrated leadership in developing production-grade models.Deep expertise ...

Total Experience: 8+ years We’re specifically looking for professionals with: 2+ years of hands-on industry experience in Gen AI — beyond traditional Data Science, ML or Predictive Modelling At least 2 end-to-end Gen AI projects that they can explain in depth Strong experience with RAG, Embeddings ...

Consulting LLP is seeking a data science–driven consultant to design, develop, and deploy data science approaches for communications challenges across the EMEA region. You will work with consultants to create holistic solutions that protect brands and elevate reputations using AI and NLP techniques. The role emphasizes building … dashboards and pipelines, collaborating with subject matter experts, and contributing to client decks with data-driven insights. #J-18808-Ljbffr ...

constantly evolving threat landscape. Responsibilities Lead the research, design, and evaluate detection models that identify automated, fraudulent, and malicious activity across Internet-scale data Mentor others in how to uncover patterns and behaviors that distinguish adversaries from legitimate users. Own the detection measurement framework, defining metrics and evaluation strategies … contested. Drive adoption of promising AI/ML techniques and represent Cloudflare in the broader research community. Drive cross-functional partnerships with ML Engineers, Data Engineers, and Product; Influence roadmaps and align detection strategy with company priorities. Shape long-term detection strategy, identifying gaps and opportunities that span multiple ...

This research position has a three year term, working with sensor data in the RF signals domain, surveying, developing and applying modern techniques, including the use of AI. The recognition, identification, localisation and manipulation of relevant signals are topics of interest.You will have:A PhD, or equivalent commercial experience ...

Google's Reliability Analytics Team in London seeks a data-focused professional to design statistical and ML tools that improve platform reliability. You will build investigative data pipelines and influence engineering roadmaps by applying analytics to software rollouts and change management. You will collaborate with Platform Reliability Engineering … deliver scalable solutions, work across product and engineering teams, and push data-driven decisions that enhance user experience and system #J-18808-Ljbffr ...

split time between heads-down analysis and leading projects, helping shape live decisions on quotes and policies. Your background in underwriting analytics, pricing, or data science will be crucial. Proficiency in Python or R and SQL is required, with GBMs and fraud analytics as strong assets. #J-18808-Ljbffr ...