51 to 75 of 95 Statistical Modelling Jobs in the UK

career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods More ❯

career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods More ❯

career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods More ❯

career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods More ❯

career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods More ❯

career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods More ❯

career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods More ❯

career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods More ❯

career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods More ❯

career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods More ❯

career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods More ❯

career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods More ❯

in day-to-day business processes. Skills & Experience: Proven expertise in General AI, Natural Language Processing, and Machine Learning. Demonstrable experience in managing lifecycle of large language models and statistical language models including training and fine-tuning. Strong proficiency in Python, Java, and SQL/NoSQL databases, along with API development and data integration techniques. Practical experience with deploying More ❯

The capability to analyse large and complex datasets to extract actionable insights. Your analytical skills will be key in identifying trends, patterns, and anomalies that can inform business strategies. Statistical Modeling : The ability to applying statistical techniques to extract insights, build predictive models, interpret data, and support data driven decision making. Machine Learning and AI Model End to More ❯

the PropTech industry, understanding of UK planning system, land registry & OS datasets Data visualisation & manipulation skills with a flexible approach to tooling Extensive experience with SQL NICE TO HAVE Statistical modelling, machine learning and predictive analysis experience Python or basic coding Strategic thinking around data product development and customer value creation OUR BENEFITS INCLUDE Remote-first Working Flexible More ❯

Designing and implementing complex quantitative models and sophisticated pattern-detection algorithms for use across all TH product offerings Architecting robust systems for quantitative analysis and prototyping proprietary mathematical/statistical models Leading technical research efforts and implementing production-ready solutions using in-house big data languages Optimising core algorithms for deep analysis of financial data, security pricing, and risk More ❯

to support the implementation of Health Assessment Outcomes and AI Personalisation Projects. These initiatives are part of a multi-year programme aimed at delivering measurable impact through advanced clinical statistical techniques and innovative AI solutions. The successful candidates will evaluate and quantify the impact of Health Assessments on customer health and wellbeing, while deepening the understanding of customer profiles … with stakeholders to agree on analytical assumptions and clearly articulate limitations. Lead the development of research protocols, outlining objectives, scope, and methodological frameworks. Conduct in-depth analysis using appropriate statistical and computational techniques. Contribute to a comprehensive white paper in collaboration with academic partners. Evaluate and tailor clinical risk models to align with datasets and clinical objectives. Map input … by integrating updated clinical risk insights. Applied experience in Data Science within a healthcare or clinical setting. Expertise in medical statistics, epidemiology, and population health. Proficiency in study design, statistical modelling (e.g., survival analysis, regression techniques), and longitudinal data analysis. More ❯

The Technical Product Manager (Dynamic Allocation Services) is responsible for driving the technical direction, development, and optimisation of our product. Combining product management with strong expertise in algorithms, data modelling, and optimisation, this role ensures that complex allocation logic is delivered as scalable, reliable, and commercially valuable product features. Acting as the link between mathematical models, engineering teams, and … Degree in Mathematics, Computer Science, Data Science, Engineering, or related field. Proven experience in technical product management, data science, or algorithm-heavy environments. Technical Expertise Strong knowledge of optimisation, statistical modelling, and applied mathematics. Familiarity with Python and ability to translate algorithmic design into technical specifications. Experience designing or managing decision-support systems, simulations, or optimisation engines. Familiarity More ❯

and interpretation of survey insights. optimise customer feedback survey design for maximum engagement and actionable insights. Knowledge, Experience, and Skills Required: Proven analytical capabilities with a strong background in statistical modelling and stakeholder analysis, preferably in marketing or sales. Proficient in programming languages such as Python or SQL and experienced with CRM systems and Excel. Familiarity with data More ❯

robust monitoring and alerting systems to maintain data health and accuracy Define KPIs and thresholds in collaboration with technical and non-technical stakeholders Develop and productionise machine learning and statistical models (Python, PySpark) Deploy monitoring solutions on AWS infrastructure Create scalable frameworks for future monitoring needs Investigate anomalies and ensure quick resolution of issues in the data pipeline Advocate More ❯

contributions in the world of sports analytics. Key responsibilities for the role of Data Scientist include: Collect, clean, and process football-related data from various sources. Develop and implement statistical models and algorithms to analyze player performance and match outcomes. Create detailed reports and visualizations to communicate insights and recommendations to technical and non-technical stakeholders. Collaborate with football … industry experience in a Data Science role and a strong academic background Python Data Science Stack: Advanced proficiency in Python , including pandas , NumPy , scikit-learn , and Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression, classification, clustering, time-series … to non-technical stakeholders. Highly desirable skills include: Football Analytics Domain: Significant plus if experienced with football datasets (event, tracking, etc.) and visualization libraries like mplsoccer . Advanced MLOps & Modelling: Deeper experience with the Vertex AI lifecycle (especially Pipelines ) and advanced modelling techniques relevant to football (player valuation, tactical analysis). Bayesian Modelling: Experience with probabilistic programming More ❯

a Data Scientist such as connecting to different data sources and manipulating different data types into useful formats, analysing and visualising data, utilising machine learning and artificial intelligence and statistical methods to create insight from data. Driving value from our data is key to us delivering services and to improving our performance. This is your chance to make a … and non-technical audiences Implement data models and data quality business rules and front-end user experience Ensure compliance to relevant corporate policies regarding data security and processing Build statistical models from the data and follow best coding practices Adhere to ethics framework for data analytics Adopt a culture of continuous improvement Work in an open, transparent and collaborative … successful? We require our graduates to have a minimum 2:1 degree in Data Science, Mathematics, or a related field. You will also need: Strong technical skills in programming, statistical analysis, and data visualisation. Critical thinking and proactive problem-solving abilities. Excellent written and interpersonal skills to communicate effectively with technical and non-technical audiences. Collaboration skills to work More ❯

engineering, and commercial teams What We're Looking For 10+ years in data science; 5+ in pricing/revenue management Strong Python (or R) and SQL skills Expertise in statistical modelling, forecasting, and ML Experience with cloud tools (preferably GCP/Vertex AI) Proven team leadership and stakeholder management The role is 2-3 days in Kings Cross More ❯

you bring: Experience as a Product Lead (or similar), delivering complex, data-driven projects. Background in building physics, simulation, or analysis tools within the built environment. Strong understanding of statistical models, algorithms, and machine learning. Curiosity to research and validate new ideas and emerging technologies. A collaborative, open-minded approach and the ability to support others. Desirable: Agile product More ❯

salary sacrifice benefits, access to Flexi-Time Scheme, allowing accrual of up to 18 additional days leave per year Role overview: As an Analyst in the clients Transport Appraisal, Modelling and Economics (TAME) team, you will apply and develop tools which describe the impacts of transport on environment and communities. Practically, you will be required to deliver scripts, software … to innovate. The successful candidate will have demonstrable knowledge and familiarity with development of datasets and data products, process design, and designing analytical tools to specifications. Experience of transport modelling software and theory is a bonus, but not a requirement. Candidates must possess a highly numerate degree or possess equivalent experience. Qualifications, knowledge, skills and experience required at selection … in a relevant subject or equivalent experience. ES Skills and Experience Development of transport models, in line with industry guidance Application of transport models, within a programme environment Undertake statistical modelling and bespoke analysis Complete development and analysis of Geographical Information Systems (GIS) Undertake trend-based analysis, with ability to work with noisy or diverse datasets Analyse survey More ❯