26 to 45 of 45 Statistical Modelling Jobs in the UK excluding London

Analytics, or a related quantitative field. Experience within financial services, lending, insurance, or a similarly regulated environment. Strong Python and SQL skills. Knowledge of statistical modelling and machine learning techniques. Ability to communicate analytical findings clearly to both technical and non-technical stakeholders. BENEFITS The successful Data Scientist ...

Experience with tools development, automation (CI/CD, Auto Deployment, System Availability, etc.), logging and monitoring. \n Experience with large scale data analytics and statistical modelling. \n Strong analytical, problem solving and communication skills. \n\n \n Visa is an EEO Employer \n Qualified applicants will receive consideration ...

largest lenders and financial services organisations. Working directly with clients, you'll build credit scorecards, develop lending strategies and create statistical models using Credit Reference Agency (CRA) data to help businesses make better lending decisions. This is a highly commercial, client-facing position where you'll own analytical projects … senior stakeholders while balancing technical excellence with commercial impact. You'll be responsible for: Developing acquisition and behavioural credit scorecards using CRA data Building statistical and machine learning models including logistic and linear regression Designing and implementing credit strategies for new and existing customer portfolios Analysing large datasets using ...

taking machine learning projects beyond initial experimentation. You should be comfortable with: Python and common data science libraries. SQL and working with large datasets. Statistical modelling and machine learning. Feature engineering, model selection and evaluation. Writing clear, maintainable and testable code. Git-based development workflows. Working ...

issues blocking progress. Working within a pod of Data Scientists under management of a Lead Data Scientist Execute the application of machine learning and statistical modelling tools suited to the identified initiative. You'll be skilled at storytelling, being able to explain the generated solution to our stakeholders … awareness of and are adhering to the appropriate regulatory and internal policy requirements. What you'll have: You'll be highly numerate with a statistical background, with strong expertise in SQL and Python being desirable. We're utilising the Data Science tools in the AWS Stack, so a good ...

exciting opportunity for an experienced engineer to work on challenging perception and intelligence problems, applying techniques across AI, computer vision, image processing, and statistical modelling. You will play a key role in developing algorithms that enable systems to better detect, interpret, and respond to their environment. The successful candidate … work, successful applicants will be required to obtain UK Security Clearance. Desirable Experience Experience with any of the following would be beneficial: Statistical modelling, Bayesian methods, uncertainty estimation, or probabilistic techniques. Synthetic data generation, multi-modal AI, or action recognition. Machine learning development tools, experiment tracking, dataset management ...

Artificial Intelligence, Machine Learning, Computer Science, Mathematics, Physics, Engineering or another highly quantitative discipline. Research experience involving machine learning, deep learning, optimisation or statistical modelling. Strong Python programming skills. Experience with frameworks such as PyTorch, TensorFlow, JAX or Keras. Experience designing experiments, evaluating model performance and interpreting results. ...

impact you want to make. Skills Artificial Intelligence (AI), Computational Sciences, Computer Programming, Data Analysis, Data Management, Data Modeling, Data Science, Predictive Modeling, Statistical Models Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite ...

Responsibilities Model Development (Azure Machine Learning Studio focus) Work collaboratively with actuarial and analytics teams to design, build, and deploy machine learning and statistical models using Azure Machine Learning Studio (AML Studio) in production environments. Apply appropriate ML techniques to improve predictions such as longevity, default risk, and investment …/CD practices and DevOps/MLOps principles integrated with Azure Machine Learning Studio environments. Cross-functional Collaboration Work closely with actuarial analysts and modelling teams to translate outputs from Azure ML Studio into actionable insights and business recommendations. Innovation and Continuous Improvement Stay up to date with developments ...

storytelling. You'll also: Partner with senior leaders, HR teams and business stakeholders to understand analytical requirements. Deliver advanced analytics including trend analysis, forecasting, statistical techniques and data modelling where appropriate. Translate complex workforce data into clear, actionable recommendations that support business decision-making. Develop and enhance Power … development and data visualisation. Strong Excel skills and experience working with HR data extracts. Experience applying analytical techniques such as trend analysis, forecasting and statistical analysis. Excellent stakeholder management skills, with the ability to communicate insights to both technical and non-technical audiences. Strong attention to detail and experience ...

highly talented team within the sports trading industry in central London. You will work with large and complex datasets, developing quantitative models and using statistical analysis to identify patterns, trends and opportunities within sports data. Working closely with experienced analysts, developers and trading teams, you will play an important … their career within a fast-paced sports trading environment. Key Responsibilities Analyse and interpret large and complex sports datasets. Develop and improve mathematical and statistical models. Apply probability and statistical techniques to sports data. Identify patterns, trends and opportunities within large datasets. Work closely with analysts, developers ...

summary Data Scientists play a key role in using data, stats & machine learning to solve problems & improve decision-making. They will develop & evaluate statistical & machine learning approaches, focus on applications such as population health analysis, risk stratification, forecasting, segmentation & predictive modelling. Bringing together complex datasets, identifying appropriate modelling … ensure analytical code & models can be developed, tested, deployed & updated in a controlled & reproducible way. Emphasis placed on discovery, experimentation & rapid prototyping, testing hypotheses & modelling approaches early, evaluating whether they provide meaningful value & iterating based on evidence & user feedback. Ensure solutions are robust, reproducible, explainable & appropriately validated, consideration given ...

Data Scientist to translate organizational challenges into scalable, high-impact analytical solutions. In this role, you will act as a subject matter expert-developing statistical models, optimizing data pipelines, establishing evaluation metrics, and delivering actionable insights that directly influence product retention, churn, and overall growth. Key Responsibilities Insight & Modeling … What We're Looking For Experience: 5+ years of relevant data science experience, with strong proficiency in Python . Core Competencies: Deep understanding of statistical concepts, data intuition, and problem framing. Visualization: Demonstrated experience building data dashboards and automated reporting tools. Leadership & Communication: Exceptional active listening and stakeholder management ...

Lead product analytics projects from problem definition through to recommendation Design, analyse and evaluate A/B tests and experimentation frameworks Apply statistical techniques and modelling to solve product challenges Analyse customer and user behaviour using rich event-level data Partner with Product Managers, Engineers, Marketing and senior … Skills & Experience Strong SQL skills Python (PySpark experience is beneficial) Experience in Product Analytics Strong knowledge of A/B testing and experimentation Excellent statistical analysis skills, with exposure to modelling techniques Experience analysing behavioural or digital product data Ability to communicate insights to both technical ...

Data Science Analyst will lead the delivery of complex, system-driven pricing and analytical solutions across our UK & Ireland portfolio. 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, youll … 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 ...

dunnhumby's next-generation models across a range of strategic AI initiatives. As part of this newly formed team, you'll focus on advanced modelling, long-term capability building, and cross-industry collaboration. You'll design new approaches, build and test prototypes, support engineering teams with productionisation, and contribute … data science teams on ML adoption and best practices. Work with leading academic groups and private-sector research partners to co-develop new modelling approaches, run joint experiments, or explore cutting-edge AI applications. Mentor other data scientists and contribute to growing organisational capability in deep learning and advanced ...

experience with industry-leading data and tools that will future-proof your career. You’ll sharpen your technical skills by working across the full modelling lifecycle – from sample design and performance analysis to scorecard development and commercial presentations. You’ll build models that directly influence lending decisions and drive … broad skill set and more career options down the line. What you’ll do You'll lead analytical projects using CRA data, developing statistical models and credit strategies that shape client decisions. You’ll work on high-impact modelling assignments, covering all stages from retrospective analysis to population ...

vitro and preclinical data into predictions of tissue exposure, target engagement, and pharmacological effects in patients. Experience in T-cell and myeloid cell engager modelling is advantageous. You will provide PBPK-PD expertise to support target validation, modality selection, human dose prediction, and PK/PD strategies from early … discovery through first-in-human studies. The role also involves integrating PBPK-PD, QSP, and AI-enabled modelling approaches to drive data-informed candidate selection and development decisions Working arrangement This role is offered on a hybrid basis (UK or US), with an expectation of typically ...

deployment, monitoring and optimisation - while working closely with Data, Risk and Product teams. What you'll be doing Develop and deploy ML and statistical models across credit risk, affordability and pricing Own models end-to-end, including data, feature engineering, modelling, validation, deployment and monitoring Build model monitoring … governance/monitoring experience, and a strong commercial mindset with genuine ownership. If you're a Senior Data Scientist, Decision Scientist or Credit Risk Modelling specialist looking for a role where you can have real influence over SME lending strategy , I'd be keen to hear from you. Please ...

Producing clear, audit-ready model documentation for governance approval. Providing expert input into implementation, testing, and monitoring frameworks. Sharing best practises and helping uplift modelling capabilities across the team. Key Skills (Essential): To excel in this role, you should possess: Python Expertise: Strong experience in model development, feature engineering … statistical modelling. SQL Proficiency: Confident in extracting and transforming large datasets effectively. Credit-Risk Modelling Experience: Proven track record in building application scorecards, PD models, and behavioural/in-life models. Bureau Knowledge: Deep familiarity with TransUnion and Equifax data structures and modelling considerations. Analytical Capability: Ability ...