16 of 16 Remote Statistical Modelling Jobs in England

Data Analyst - Manchester - Hybrid Working - Up to £47,000 A leading public sector organisation is seeking a Transport Modelling & Data Analytics Analyst to join a dynamic team shaping the future of transport across the North of England. This role sits within a specialist technical function focused on data analytics, modelling, and economic planning, supporting nationally significant programmes and … regional investment strategies. As part of a multi-disciplinary team, you'll contribute to the development and application of transport models, undertake geo-spatial and statistical analysis, and support evidence-based decision-making. You'll play a key role in delivering analytical services to support strategic transport planning, including the Department for Transport's Integrated Rail Plan. Responsibilities: Deliver … technical services and manage analytical workstreams to meet stakeholder needs. Develop and apply strategic transport models, including variable demand modelling. Conduct statistical modelling, trend analysis, and bespoke data analytics. Analyse survey data and integrate diverse datasets to generate actionable insights. Use GIS software for spatial analysis and visualisation. Create repeatable scripting and batching processes to streamline data workflows. More ❯

Data Analyst - Manchester - Hybrid Working - Up to £47,000 A leading public sector organisation is seeking a Transport Modelling & Data Analytics Analyst to join a dynamic team shaping the future of transport across the North of England. This role sits within a specialist technical function focused on data analytics, modelling, and economic planning, supporting nationally significant programmes and … regional investment strategies. As part of a multi-disciplinary team, you'll contribute to the development and application of transport models, undertake geo-spatial and statistical analysis, and support evidence-based decision-making. You'll play a key role in delivering analytical services to support strategic transport planning, including the Department for Transport's Integrated Rail Plan. Responsibilities: Deliver … technical services and manage analytical workstreams to meet stakeholder needs. Develop and apply strategic transport models, including variable demand modelling. Conduct statistical modelling, trend analysis, and bespoke data analytics. Analyse survey data and integrate diverse datasets to generate actionable insights. Use GIS software for spatial analysis and visualisation. Create repeatable scripting and batching processes to streamline data workflows. More ❯

our global operating services and sits within the Research and Data Sciences Department.Within the Research Team the Data Scientist will use python to develop new analyses and methodologies for statistical modelling of audience measurements, TGI consumer data and market research in general. Transforming client requests into actionable items and best modelling choices is a crucial part of … and must report to different project managers.We are currently a hybrid working team, working both in our London offices and remotely.Job Role Requirements Develop new and enhance existing mathematical, statistical and machine learning algorithms. Investigate data for quality and completeness, identifying errors/anomalies, understanding how these would affect any modelling and controlling for these in development of … to different project managers.Role Requirements Advanced programming with Python and related data science libraries (pandas, numpy, scipy, etc) at least 2 years, possibly at production level Data science skills: statistical analyses, machine learning techniques. Previous experience in statistical matching and segmentation techniques is a great bonus Communication skills: capability to clearly communicate concepts to colleagues (and potentially clients More ❯

candidate brings a proven ability to develop data-driven pricing models, proficiency in analytical tools like Excel, SQL, Python, PowerBI, and experience with ERP or pricing. Key skills include: Statistical modelling, forecasting, customer segmentation, and pricing strategy optimisation. Strong communication, collaboration, and problem-solving abilities are essential, along with sharp attention to detail and the capability to manage More ❯

for the team, working across risk assessment, data science, and research functions. Champion a culture of curiosity, experimentation, and continuous improvement. Technical Excellence & Delivery Oversee the use of advanced statistical modelling, AI, and machine learning methods (including NLP and LLMs) to deliver high-quality insights. Ensure outputs are defensible, high-quality, and accessible to both technical and non … social science, physics, or other relevant discipline. Proven experience managing a pipeline of analytical work and aligning outputs with organisational priorities. Expertise in AI/ML techniques, including predictive modelling, NLP, and large language models. Proficiency in Python, R, and relevant libraries for data analysis and modelling. Demonstrated ability to balance rigour with practical application, clearly articulating both insights More ❯

including: waiting lists, A&E, cancelled operations, SUS, workforce Understanding of data retrieval, data processing, information analysis and interpretation within acute hospitals Specialist knowledge of data analysis and visualisation, statistical modelling and quantitative service evaluation techniques Experience Essential Substantial experience in an information analysis role in an NHS or other healthcare information environment Substantial experience of working with 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

Scientist with experience in monitoring and alerting infrastructure. This is a pivotal hands-on role with end-to-end ownership ideal for someone who enjoys blending engineering rigour with statistical thinking in a collaborative, fast-paced environment. Key Requirements We are looking for a proactive and technically strong Data Scientist who can develop and maintain monitoring systems across distributed … data pipelines and drive data quality initiatives across multiple teams and projects. Must-have skills and experience: Proficiency in Python and SQL for analytical modelling, data interrogation, and scripting Hands-on experience with PySpark and distributed data processing at scale Production deployment of statistical or machine learning models Cloud infrastructure experience , preferably with AWS Methodical problem-solving mindset … Your responsibilities will include: Designing and implementing monitoring and alerting systems across data platforms Collaborating with stakeholders to define relevant metrics, thresholds, and KPIs Building and maintaining production-level statistical and ML models using Python and PySpark Deploying solutions within AWS cloud infrastructure Developing scalable frameworks to support future monitoring needs across departments Investigating and resolving data anomalies and More ❯