51 to 75 of 79 Statistical Modelling Jobs in England

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 ❯

effectively to both technical and non-technical stakeholders, including coaches, scouts, analysts, and traders. Skills & Attributes Strong background in Python, with experience in data manipulation (Pandas/Polars) and statistical modelling. Industry experience in a data science role focussing on sports analytics or personal projects related to football data. Knowledge of advanced football metrics (possession value models highly desirable 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 ❯

Develop and implement pricing strategies that align with business objectives and regulatory requirements. Provide technical leadership and mentoring to junior analysts. Deliver actionable insights through data analysis and advanced statistical modelling. Collaborate with underwriting, product, and commercial teams to ensure pricing is both competitive and profitable. Contribute to the development of pricing best practices and innovation within the team. … Skills & Experience Required Proven experience in a pricing role within the insurance industry . Strong technical expertise with Radar and Emblem . Solid understanding of statistical modelling, data manipulation, and analytical methods. Ability to interpret complex data and present insights to both technical and non-technical stakeholders. What's on Offer Competitive salary and benefits package. Opportunity to More ❯

core of the challenge is to ideate and deliver a complete portfolio and exposure management capability that leverages Ki's data, algorithm and internal expertise. The product will use statistical modelling techniques, visualisation and workflows to deliver a real time view of Ki's exposure to various natural and non-natural catastrophes across the entirety of our book. … You will be expected to work with the different functions within Ki including Underwriting, Marketing, Operations, Exposure Management and Portfolio Management. You will also need to be comfortable with modelling methodologies and data structures to help make trade-offs and consider options when building the roadmap. Principal Accountabilities: - Articulate longer term product direction: Set out the strategic and technical … You've applied both theory and practical experience to effectively deliver products, building a versatile toolkit adaptable to diverse situations. - You are comfortable talking and understanding technical architecture and statistical techniques, in addition to working directly with customers on how to use the product. - You have a strong track record of taking products from concept to successful outcomes, with More ❯

from complex data. Promote sustainable, secure data use and reuse. Person specification We are looking for: Proven ability to lead research and horizon scanning to identify opportunity to develop statistical insights reports and models to support organisational objectives such as strategic planning and technology adoption Experience developing methodologies and tools to unlock data for AI, including experimentation with unstructured More ❯

from complex data. Promote sustainable, secure data use and reuse. Person specification We are looking for: Proven ability to lead research and horizon scanning to identify opportunity to develop statistical insights reports and models to support organisational objectives such as strategic planning and technology adoption Experience developing methodologies and tools to unlock data for AI, including experimentation with unstructured More ❯

from complex data. Promote sustainable, secure data use and reuse. Person specification We are looking for: Proven ability to lead research and horizon scanning to identify opportunity to develop statistical insights reports and models to support organisational objectives such as strategic planning and technology adoption Experience developing methodologies and tools to unlock data for AI, including experimentation with unstructured More ❯

we strive for independent decision-making and taking smart risks.Data Scientist's day-to-day activities will include, but not be limited to:- Perform diagnostic analyses, including ML/statistical modeling and causal inference analyses, to quantify the lift of marketing campaigns.- Analyze marketing campaign performance across channels using sophisticated statistical and econometrics models to derive actionable insights. … with marketers and business partners to define hypotheses and success metrics.- Design and run experiments (A/B, multivariate) to evaluate new product features and marketing strategies, and use statistical methods to ensure valid and reliable results.- Supervise experiment performance, conduct interim analyses, and communicate findings clearly to technical and non-technical audiences.- Build data/model pipelines to … in marketing, advertising, or customer analytics Data handling: Fluency with SQL queries in large and complex fragmented datasets and relational databases. Statistics: Expertise in causal inference modeling and advanced statistical/econometrics models, including regression and time series modeling. Degree in Analytics, Data Science, Marketing or similar More ❯

such as Agentic AI and AI Agents, identifying and developing high-impact use cases from POC to production. Champion best practices in experimentation, causal inference, and uplift modeling, ensuring statistical rigor in decision-making processes. Take ownership of the most complex, high-profile analytical projects, translating ambiguous questions into clear, actionable recommendations that deliver commercial and customer value. Mentor … quantitative role, with a proven track record of supporting and influencing a product organization. Technical & Modeling Expertise: Expert Level proficiency in Python and SQL. Deep, hands-on experience with statistical modeling, (quasi) experimentation, multi-arm bandit, and a wide range of machine learning techniques (e.g., Regression, Classification, Clustering). Product Acumen: Demonstrated ability to define, implement, and operationalize crucial More ❯

reporting. Promote a data-driven culture across Arqiva and across all People related activity, advocating for the use of data in decision-making. Accountable for providing technical, data or modelling support for seasonal HR Events including pay review, bonus, OD work and any ad-hoc activities that arise Accountable for the accurate and timely delivery of people related statutory … Ability to manipulate and analyse data, and make informed decisions Data Analysis & Visualisation Tools - Proficiency with data analysis and visualisation tools e.g. Python, R, SQL, Power BI, Tableau Data Modelling - Ability to perform statistical analysis and predictive modelling. Data Governance - Knowledge of data governance and quality assurance practices. Communication skills - collaborate with cross-functional teams, present technical info … and meet deadlines Relationship management - ability to foster relationships (and network) with external vendors, suppliers, industry peers, etc. People Analytics - Extensive knowledge of people reporting requirements. HRIS and Org Modelling systems - Good understanding of people systems, technologies and people data sets Please apply to the advert for more information. Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting More ❯

leveraging empathy-driven research, surveys, and digital analytics to understand user needs and behaviours Data Management - establishing enterprise-wide data governance and quality standards to enable automated analysis and modelling Strategic Partnerships - ensuring effective data exchange and insight sharing with external service providers Data Governance - developing organisational data literacy, governance frameworks, and collaborative data strategies Advanced Analytics - delivering actionable … insights through statistical analysis, predictive modelling, and data science techniques Data Engineer What's in it for You? Flexible Working Culture: Hybrid arrangements combining office presence (1-2 days per week minimum) with remote working flexibility Flexible hours and compressed working week options Part-time and job-sharing opportunities available Adaptable arrangements to suit your personal circumstances Competitive More ❯

hybrid Senior Technical Pricing Analyst: An opportunity has arisen to join Ageas’s Underwriting department in the Technical Pricing team. Technical Pricing are responsible for the production of specialist statistical risk models for our insurance products including Private Car, Van, Bike and Household. While we have offices in London, Eastleigh and Bournemouth, we will accommodate working from home full … models and deploying the latest data science techniques to generate profitable business growth. The Senior Technical Pricing Analyst will support projects, assisting in data preparation, performing, and reviewing actuarial modelling and interpreting results that drives high impact and, intelligent pricing solutions – all of which will help drive our competitive positioning. This role has a strong research and development focus … as Senior Technical Pricing Analyst: Creating complex, robust actuarial models and interpreting the results to deliver high impact, innovative pricing. Assisting in the production of ad-hoc actuarial and statistical analyses, working with stakeholders across the company to solve a wide range of business problems. Producing reports, documentation, and presentations to communicate statistical models and results to key More ❯

Remote UK BASED CANDIDATES ONLY My client is looking for an experienced Machine Learning Engineer ready to play a pivotal role in shaping the technical direction of their behavioural modelling and threat detection systems. This position offers the opportunity to influence not just their engineering roadmap, but how they fundamentally approach solving complex, real-world security challenges with data. … and engineering disciplines. What We're Looking For Hands-on experience in developing and deploying machine learning models at scale. Deep familiarity with core ML concepts (classification, time-series, statistical modeling) and their real-world tradeoffs. Fluency in Python and commonly used ML libraries (e.g. pandas, scikit-learn; experience with PyTorch or TensorFlow is a plus). Experience with More ❯

dashboards, reports, and visualizations that drive insight and engagement Contributing to continuous improvement projects by identifying trends, inefficiencies, and areas for innovation Learning and applying data analysis techniques including statistical methods, data modelling, and data cleansing What you’ll learn: Through the apprenticeship, you’ll gain skills in: Data collection, validation, and analysis Data visualization and storytelling Programming More ❯

operational teams to recommend corrective actions and performance improvements. Design and refine metrics, KPIs, and frameworks to measure and optimise business outcomes. Support business change programmes through robust data modelling and scenario planning. Champion best practices in data collection, reporting, and analysis to improve quality and accuracy. About You: 3+ years' experience in a data analyst role, ideally within … SQL, and Power BI. Experience in Python for simulation, optimisation, and data modelling. Strong analytical ability with proven track record translating complex data into clear business recommendations. Knowledge of statistical techniques and data modelling. Confident communicator with the ability to influence stakeholders at all levels. Highly organised, detail-oriented, and comfortable working in a fast-paced, matrix environment. This More ❯

dashboards, reports, and visualisations that drive insight and engagement Contributing to continuous improvement projects by identifying trends, inefficiencies, and areas for innovation Learning and applying data analysis techniques, including statistical methods, data modelling, and data cleansing Training Training will take place in the workplace via the training provider's online platform, as well as guided support from your More ❯