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Role Purpose\n Lead the design, engineering, and operationalization of enterprise Security Knowledge Graphs that connect security telemetry, assets, identities, vulnerabilities, threats, controls, and incidents into a trusted intelligence layer. The role is highly hands-on and combines data science, graph engineering, cybersecurity analytics, semantic modeling, and technical leadership to enable atta... \n \n \n ZIPC1_UKTJ

Infoplus Technologies UK Limited is seeking a Lead Data Scientist to design and operationalize enterprise Security Knowledge Graphs, combining data science, graph engineering, and cybersecurity analytics. You will drive attack-path analysis, threat investigation, and AI-assisted security operations in a collaborative environment. The role requires deep expertise in knowledge graphs, graph data science, and cloud security, with mentoring responsibilities and a track record of delivering #J-18808-Ljbffr

The Role As a Data Scientist in our EU Analytics practice , you will help customers bring treatments to patients faster by transforming how they work with Technology, Data, and AI. Process, harmonize, and connect Veeva Data Cloud products with diverse European healthcare data assets. You will play a

You will design and scale advanced analytics solutions for Life Sciences clients across European markets, integrating Veeva Data Cloud with healthcare data assets.

Data Scientist - AI & Machine Learning Location: UK Contract: 12 months Working Pattern: Hybrid - minimum 2 days per week in the office I'm recruiting for a Data Scientist to join an exciting AI and machine learning programme, where you'll help transform complex business challenges into practical, data-driven solutions. You'll work alongside multidisciplinary teams to frame problems, explore different approaches and develop advanced machine learning models and AI applications. This is an opportunity to contribute to the development of data science products, combining classical ML techniques with emerging LLM-based solutions. Key Responsibilities • Analyse and process large datasets from multiple sources., • Develop and evaluate machine learning models and AI applications using Python., • Apply statistical analysis to interpret results and support informed decisions., • Define problem statements, evaluation metrics and experiment designs., • Contribute to LLM evaluation, prompt engineering and RAG-based approaches., • Work with business stakeholders to communicate findings and model outcomes., • Support the development of data science products and provide technical guidance to junior team members. Key Skills & Experience • Strong Python skills for machine learning and data science., • Experience with classical machine learning and LLM development and evaluation., • Understanding of problem framing and AI/ML evaluation metrics., • Knowledge of prompt engineering and Retrieval-Augmented Generation (RAG)., • Experience designing experiments and working with model cards., • Ability to interpret complex statistical results and communicate findings. For more information or to apply directly, please email. I review applications daily and will contact shortlisted candidates as quickly as possible. JBRP1_UKTJ

We sort data analys data scientist jobs with better pay, shorter commutes and sooner starts in mind.

Flutter UK & Ireland is seeking a Lead Data Scientist to drive data science capabilities in pricing, experimentation, and analytics for its UKI brands.

PwC Leeds is seeking a Data Scientist - AI Evaluation & Benchmarking Manager to shape model benchmarking and experimentation capabilities.

Protect Group is seeking a Senior Data Scientist to lead pricing and machine learning initiatives in a hybrid Leeds setup.

As a Senior Data Scientist, you'll take ownership of developing and improving production machine learning models used to support pricing and commercial decision-making. You'll be joining a collaborative team of data scientists and engineers, working across machine learning, optimisation and next-gen

Senior Data Scientist in ADVANCED ANALYTICS.If you are successful for this role please note it is based in Leeds.This is an exciting opportunity to work at the heart of data science, research and public policy.Advanced Analytics is hiring a Senior Data Scientist to develop machine learning (ML) and

Zohorecruit in Leeds, United Kingdom, is seeking a Data Scientist to build ML and NLP models and contribute to generative AI initiatives. You will use BigQuery ML for data processing and model training, prototype cutting-edge approaches, and collaborate with a cross-functional team to translate insi

Protect Group is seeking a Senior Data Scientist to lead pricing and machine learning initiatives. You will design and productionize pricing models, run experiments, and collaborate with finance and product teams to optimize revenue and risk. The role combines hands-on modelling with shaping technical direction in a collaborative, high-trust environment. The role emphasizes developing production-grade code, deploying with modern ML tooling, and mentoring others while maintaining GDPR-compliant #J-18808-Ljbffr

Bank of England in Leeds is seeking a Senior Data Scientist within Advanced Analytics to develop ML/AI solutions and prototype robustly.The role focuses on informing policy through cutting-edge data science.The AA team applies generative AI, NLP, agent-based models and network analytics, encouraging

SPG Resourcing in Leeds, UK is seeking a Data Scientist to develop statistical, ML, and advanced modelling solutions across structured and unstructured data. The role focuses on building and deploying predictive models and data products that identify patterns, forecast outcomes, and inform strategic

You will collaborate with data scientists, supervisors, and technical experts to deliver impactful AI solutions using supervisory data. The Bank of England's ARTIS Data Science Spoke (ADSS) is looking for a data scientist to lead the development of advanced analytics capabilities at the intersection

A leading data science recruitment firm in Leeds is looking for a Data Scientist to tackle challenges in demand forecasting and pricing strategy. The ideal candidate will have a strong background in statistics and data analysis, with experience in programming languages such as Python, R, or Julia. This role offers an opportunity to contribute to impactful data science projects in a collaborative environment. #J-18808-Ljbffr

This role combines advanced modelling, pricing expertise, and oversight of pricing systems to shape strategy, strengthen governance, and enhance analytical capability. Operating with a high degree of autonomy, you’ll own end-to-end initiatives, influence senior stakeholders, and provide technical leadership and mentorship across the function. • Location: London or Leeds UK, • Type: Permanent Key responsibilities including but not limited to the following: • Develop and enhance pricing models, emulators, and analytical tools to deliver accurate, robust, and explainable outputs, • Lead system-driven pricing initiatives, working cross-functionally to productionise models and implement changes safely and efficiently, • Deliver clear, impactful insights and pricing recommendations to senior stakeholders and governance forums, • Own renewal performance monitoring, providing detailed analysis against key KPIs and supporting performance tracking, • Build and maintain pricing insight tools to support operational teams and inform delegated authorities, • Analyse pricing variance and collaborate with underwriting to guide discount strategy and governance, • Design tools and frameworks to support pricing decisions for high-value and high-risk segments, • Apply advanced analytics, including elasticity modelling, to inform pricing strategy and planning, • Partner with underwriting and commercial teams throughout planning cycles to enable data-driven decisions, • Provide technical mentorship and support to junior analysts, contributing to overall team capability, • Strong numerical degree (or equivalent experience) with significant experience in pricing, data science, analytics, or a related field, • Strong understanding of pricing, analytics, and data science principles, with proven application in a commercial environment, • Advanced Excel skills (modelling, pivots, VBA) and strong SQL capability, with experience working with large, complex datasets, • Experience developing pricing systems, emulators, or analytical tools, • Experience with statistical and predictive modelling techniques (e.g. regression, GLMs), or a strong interest in developing expertise in these areas, • Good understanding of governance, model risk, and change control within a regulated environment, • Proven ability to influence senior stakeholders and present effectively at governance forums, • Demonstrated commitment to continuous professional development #J-18808-Ljbffr

The Data Scientist supports data-driven decision making by developing statistical, machine learning, and advanced modelling solutions across structured and unstructured data. They want a Data Scientist who develops and deploys predictive models, advanced algorithms, and data products that identify patterns, forecast outcomes, and generate deeper insights to support strategic and business initiatives. • Identify high-impact business use cases and design appropriate statistical or machine learning solutions., • Build, validate, optimise, and deploy analytical and predictive models, including classification, regression, clustering, time-series analysis, and anomaly detection., • Curate, prepare, and manage structured and unstructured datasets using appropriate data storage and processing approaches., • Develop dashboards and visualisations where required to communicate analytical findings and model outputs effectively., • Ensure data quality and integrity and contribute to relevant data governance practices., • Collaborate with business and technical stakeholders to translate complex analytical outputs into clear, actionable recommendations., • Identify opportunities for algorithmic optimisation, automation, and the application of emerging data science techniques., • Contribute to the development and continuous improvement of data products, analytical methodologies, and modelling practices., • The role has a distinct focus on advanced analytical and predictive solutions, differentiating it from Data Analyst positions that primarily focus on reporting, data exploration, business intelligence, and operational analytics., • Strong analytical, statistical, mathematical, and problem-solving skills., • Practical experience applying machine learning techniques and managing the model development lifecycle., • Proficiency in SQL and data visualisation tools such as Power BI, Tableau, or equivalent platforms., • Experience working with structured and unstructured data, cloud-based technologies, and scalable data processing environments., • Ability to communicate complex statistical and modelling concepts clearly to non-technical audiences., • Familiarity with enterprise business systems and cloud environments is desirable., • Experience using Python, R, or other programming and statistical languages commonly used in data science., • Understanding of data quality, governance, and responsible use of analytical models., • Experience selecting appropriate modelling approaches and evaluating model performance against defined business objectives., • These capabilities distinguish the Data Scientist role from Data Analyst positions, which generally have a stronger emphasis on data exploration, reporting, visualisation, and business intelligence., • Professional experience in data science, statistical modelling, machine learning, predictive analytics, or a related field., • Demonstrable experience developing analytical or predictive solutions that support business decision making. SPG Resourcing is an equal opportunities employer and is committed to fostering an inclusive workplace which values and benefits from the diversity of the workforce we hire. We offer reasonable accommodation at every stage of the application and interview process. #J-18808-Ljbffr

2026-09-17T00:00:00 Leeds West Yorkshire GB LS1 3 Any 2026-12-16T11:39:24 You'll join our AI Research team as a Data Scientist - AI Evaluation & Benchmarking Manager, helping to shape and evolve the model benchmarking and experimentation capabilities that underpin AI delivery across PwC and our clients. You'll work within a highly collaborative applied research environment that values curiosity, technical rigour and practical problem solving. In this role, you'll develop frameworks and experimentation workflows used to evaluate emerging AI models, driving evidence-based decisions for client engagements. We're looking for someone who enjoys technical ownership, thrives in fastmoving environments and is motivated by building scalable, secure AI research infrastructure. You'll join our AI Research team as a Data Scientist - AI Evaluation & Benchmarking Manager, helping to shape and evolve the model benchmarking and experimentation capabilities that underpin AI delivery across PwC and our clients. You'll work within a highly collaborative applied research environment that values curiosity, technical rigour and practical problem solving. In this role, you'll develop frameworks and experimentation workflows used to evaluate emerging AI models, driving evidence-based decisions for client engagements. We're looking for someone who enjoys technical ownership, thrives in fastmoving environments and is motivated by building scalable, secure AI research infrastructure. • You’ll play a key role in building and evolving our AI benchmarking and experimentation platforms, enabling robust and repeatable model evaluation., • Your work will directly influence AI model selection and technical strategy across PwC projects and client engagements., • Design and run end to end benchmarking workflows, from understanding client use cases, designing and running benchmarking strategies, and generating business ready insights, • Build scalable evaluation frameworks, metrics and pipelines, combining hands‑on engineering with continuous review of academic literature to ensure our evaluation strategies reflect leading research and best practice., • Develop, maintain and improve experimentation infrastructure, ensuring robustness and production grade engineering., • Produce clear, client ready insights and support technical demos and deep dive sessions., • You have strong hands‑on experience in Data Science concepts, or LLM experimentation using structured evaluation frameworks., • You are highly proficient in Python, including asynchronous programming, multithreading and writing maintainable code., • You have experience deploying ML workloads to cloud platforms (Azure, AWS or GCP), with familiarity in CI/CD and containerisation (Docker/ Podman)., • You have applied knowledge of statistics and experimental design and can translate findings into actionable recommendations., • You are comfortable managing fastmoving workstreams and operating autonomously., • You demonstrate emerging leadership behaviours - taking initiative, influencing technical direction, communicating clearly and supporting the development of others., • You are motivated by ownership and excited by the opportunity to shape AI research platforms that directly impact client engagements. No matter where you may be in your career or personal life, our benefits are designed to add value and support, recognising and rewarding you fairly for your contributions. We offer a range of benefits including empowered flexibility and a working week split between office, home and client site; private medical cover and 24/7 access to a qualified virtual GP; six volunteering days a year and much more. • empowered flexibility and a working week split between office, home and client site, • private medical cover and 24/7 access to a qualified virtual GP, • six volunteering days a year and much more #J-18808-Ljbffr #s1-Gen #J-18808-Ljbffr

Emerald Group in London or Leeds seeks a senior pricing professional to own end-to-end initiatives, influence senior stakeholders, and deliver technical leadership and mentorship across the function.You will develop pricing models and analytics, productionise pricing changes, and provide clear insig

Prolific is seeking Data Scientists and Data Analysts to join their Expert Network. This role involves evaluating AI models and providing insights using advanced skills in data analysis, predictive modeling, and machine learning.

You’re already a data scientist or modeller – your idea of a good day is receiving huge amounts of data and working out how customers are going to behave. Exposure to Big Data Analytics (BigQuery, Apache Spark), Parallel Computing (Kubernetes, Databricks), Cloud Engineering (AWS, GCP, Azure), Sp

Mentor engineers and data scientists while leading technical reviews, coding standards, and production-readiness gates. Certifications such as CISSP, CISM, GIAC, cloud security, or Neo4j Graph Data Science (advantageous but not mandatory). Bachelor’s or Master’s in Computer Science, Data Science

Senior Data Scientist – Pricing & Machine Learning. We're looking for a hands-on Senior Data Scientist to take a leading role in developing and improving this capability. You'll join a flat, high-trust team of data scientists and engineers, working closely with commercial, finance and product team

Join our team if you have an appetite for innovation that leads to incredible impact! In the Economic Crime Prevention (ECP) Platform Team, our mission is to reduce harm to our communities by enhancing Lloyds Banking Group's capability to prevent, detect and respond to economic crime. The Platform s

WRK Digital in Leeds is seeking a Senior Data Scientist to join a high-growth technology business where machine learning drives pricing decisions and revenue generation. You'll own production ML models for pricing and commercial decision‑making, collaborating with commercial, product, finance and

We are seeking a curious and analytically driven Data Scientist to join our team and help tackle real-world challenges in areas such as demand forecasting, pricing strategy, and promotional optimisation. This role is ideal for someone with a strong background in research methods and statistics, and a passion for applying data science to complex, practical problems. • Conduct exploratory analyses to uncover trends and patterns in data, • Design and run experiments to test hypotheses related to pricing, customer demand, and promotional effectiveness, • Evaluate and implement emerging data science techniques to improve existing approaches, • Collaborate with cross-functional teams to define research questions and align on business goals, • Develop predictive models and analytical tools, • Communicate insights through clear, reproducible research and translate technical findings for diverse audiences, • Solid foundation in statistics, experimental design, and research methodology, • Experience working with real-world datasets to drive actionable insights, • Proficiency in at least one analytical programming language (e.g., Python, R, or Julia), • Ability to communicate complex ideas clearly to both technical and non-technical stakeholders, • A self-starter mindset with a collaborative and inquisitive approach, • MSc or PhD in a relevant field Location: Leeds Additional context: This role is part of Harnham's Data Science / R&D recruitment. Referrals increase your chances of interviewing at Harnham. #J-18808-Ljbffr

Are you ready to ignite your career with the World’s largest sports betting and iGaming company? Are you a critical thinker with a growth mindset? We are the Flutter UK & Ireland Trading Team - we power performance, we think different, and we drive phenomenal customer experiences to keep our Paddy Power, Betfair and Sky Betting & Gaming brands at number one. This Lead Data Scientist role is based in the pricing function, which is a high performing team responsible for the delivery of new pricing strategies across the Flutter UKI brands. You will play a lead role in developing & mobilising data science capabilities for experimentation, measurement, predictive analytics and modelling workstreams. You will work within the UKI Trading function, connecting with colleagues from across the organisation to address sophisticated pricing problems and to identify new opportunities for pricing optimisation. If this sounds like the outstanding opportunity you are looking for, then please read on... As a Lead Data Scientist in the Pricing team, you will: • Explore & mobilise new data science applications for pricing, including but not limited to, delivery of pricing models that harness predictive capabilities to advise pricing strategy decisions., • Deploy sophisticated statistical analysis and data manipulation techniques to analyse experimental data, identify trends and derive relevant conclusions., • Coordinate set up and definition of experiments, deploying statistical techniques and processes, ensuring robust trial outputs that yield actionable insights., • Build autonomous systems to monitor high volumes of price experiments & strategies, tracking critical metrics vs expectations and surfacing to the wider pricing team., • Maintain comprehensive documentation of experimental builds, methodologies, and results to ensure transparency and reproducibility., • Lead preparation and present findings to interested parties, clearly communicating the implications of pricing experiments on business strategies., • Work proactively with cross-functional teams, including commercial, finance, and product development, to align data insights with business objectives., • Lead senior data scientists, coordinating their respective focus areas and workloads as well as developing them personally to grow their careers., • Experienced leader in data science with track record leading a data science function, ideally within a customer focussed or commercial domain., • Proficiency in multiple advanced analytics and data manipulation tools (e.g., Python, SQL, Excel, Tableau), • Strong analytical and quantitative skills, with a proven track record to interpret complex data sets, • Experience with experiment design and parameter definition (sampling, control vs. test groups, front-end product changes), • Experience in sophisticated statistical modelling techniques (e.g. regression, significant testing, clustering, A/B testing, time series analysis), • Excellent documentation skills, with attention to detail and the ability to build clear and concise reports., • Excellent verbal and written communication skills, with the ability to present complex information clearly to diverse audiences, • Strong problem-solving abilities and a proactive approach to finding opportunities for improvement, • Ability to manage and own multiple data and analytics assets simultaneously and to meet deadlines in a fast-paced environment, • Collaborative outlook, able to build strong and effective relationships both within the Pricing team and across the business at all levels, • Ideally, experience working on pricing and/or pricing strategy projects in a large business setting We are Flutter UK & Ireland. Leaders in betting, gaming, and entertainment. We are the home of big-hitting brands including Sky Betting & Gaming, Paddy Power, Betfair and tombola. We are thousands of colleagues. Across 6 locations. In 5 countries. We play as one trailblazing team. Crafting trusted entertainment for millions every week. Sharing ideas, expertise, and technology. Innovating in one of the most Competitive and most regulated markets in the world. As a division of Flutter Entertainment, we all work together to win. • Flexible ways of working – Hybrid work arrangement that supports your wellbeing & lifestyle., • £1,000 learning fund, • Bonus Scheme, • Pension contribution scheme, • Private healthcare, • Access to thousands of Udemy courses, • Invest via the Company Sharesave Scheme, • 16 hours paid volunteering time per year., • Unlimited holiday Flutter UK & Ireland is working to be an inclusive employer. We encourage people from all backgrounds, ways of thinking and working to apply. Everyone brings different perspectives and experiences; you don't have to meet all the requirements listed to apply for this role. If you need any adjustments to make this role work for you let us know, and we’ll see how we can accommodate them #J-18808-Ljbffr

You'll join a flat, high-trust team of data scientists and engineers, working closely with commercial, finance and product teams, as well as the wider technical teams behind our AI platform. Senior Data Scientist - Pricing & Machine Learning. We're looking for a hands-on Senior Data Scientist to tak

You’ll join a flat, high-trust team of data scientists and engineers, working closely with commercial, finance and product teams, as well as the wider technical teams behind our AI platform. Senior Data Scientist – Pricing & Machine LearningLocation: Leeds, UK (hybrid)Contract:** Permane

A global technology company in the UK is looking for a Data Scientist to optimize partnerships and drive revenue through data analysis. This role requires strong analytical skills, proficiency in Python and SQL, and experience in cloud computing and A/B testing. You will engage with stakeholders to present insights and develop scalable data solutions. Join a rapidly growing company dedicated to innovation and making a significant impact across various sectors. #J-18808-Ljbffr

They will interface with data scientists, supervisors, and technical experts to ensure that ADSS is best serving the data needs of ARTIS. SAM sits on the Enterprise Data Platform (EDP), and the role holder will play a leading role in assessing and implementing cloud-based AI solutions, including pip

Propagate data science skills within and across teams, understanding the variety of functional roles relating to data science and how they can be most effectively applied to solve business problems.

GEOLYTIX in the United Kingdom seeks a Senior Data Scientist to lead advanced modelling across sectors. You’ll work with SQL-heavy data pipelines, Python/R/Scala, and GIS tools, collaborating with remote global teams.

Zohorecruit seeks a Lead Data Scientist to head the design, engineering, and deployment of enterprise Security Knowledge Graphs. The role combines data science, graph engineering, cybersecurity analytics, semantic modeling, and leadership to enable attack-path analysis and AI-assisted security opera

Protect Group is seeking a Senior Data Scientist to lead pricing optimization and ML initiatives in a hybrid Leeds setting. You will design models, run experiments and deploy production systems that influence revenue and conversion across many partners. You will contribute to broader ML work including risk modelling and automation, collaborating with Commercial, Finance and Product teams while mentoring others and shaping technical direction. #J-18808-Ljbffr

Strong experience in SQL and data engineering principles (ETL/ELT), with the ability to handle large, complex datasets independently. If you are a Data Scientist with the mindset of a commercial strategist and the skills of an engineer, we want to hear from you! Submit your CV today. Establish scala

WTW brings together expertise across insurance, actuarial science, engineering, and climate analytics to help organizations understand and prepare for physical climate risks. By The Sustainability Grid Desk Salary Not disclosed (typically competitive consulting range in the UK) Setting Hybrid Location London / Leeds, United Kingdom Type Full Time Deadline Not specified Experience Early to Mid Career This is where climate science meets financial consequence. This role lives in the numbers. • Flood probabilities, • Heat stress projectionsCatastrophe loss curves You will not just study climate change. You will quantify its impact on real assets, portfolios, and decisions. Support and lead projects on: • Physical climate risk assessments, • Adaptation and resilience planning, • Natural catastrophe modelling Work with: • Climate datasets, • Catastrophe models, • Portfolio risk simulations Build dashboards, run models, and extract insights • Contribute to consulting engagements across industries and geographies, • Handle complex, multi-region risk scenarios, • Present findings to clients, • Translate technical outputs into business decisions Help develop new approaches to risk modelling Work on problems where no standard tools exist Engage with specialists in: Actuarial modellingEnterprise riskInsuranceSustainability A hybrid thinker. Part scientist, part strategist. Core requirements: • Strong background in science, engineering, maths, or analytics, • Interest in climate change and natural hazards, • Ability to analyze and interpret complex datasets, • Strong communication skills Experience with: • GIS tools, • R or coding, • Power BI or data visualization tools Knowledge of catastrophe models such as: • RMSAIR, • KatRisk Climate change becomes real when it is priced. This role sits exactly there. You are translating: Weather into risk Risk into financial impactImpact into strategy 25 days annual leave plus additional company day Private healthcare and life insurancePension with up to 10% employer contributionHybrid working modelVolunteer day and wellbeing supportAdditional perks like EV scheme, cycle-to-work, and share plans Climate risk is no longer theoretical. It is insured, modelled, and priced daily. The organizations that understand it will survive. The ones that do not will absorb the cost. #J-18808-Ljbffr

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Data Scientist needed to analyze data, design experiments, develop models, and communicate insights.

Data Scientist needed to analyze data, design experiments, develop models, and communicate insights.

Seeking a freelance Data Scientist for AI training projects, requiring Python, SQL, and statistical analysis expertise.