1 to 25 of 136 Statistical Modelling Jobs in the UK excluding London

alongside senior leadership in a collaborative environment. This position sits within a growing Analytics and Insights team of four, focusing on the technical side of customer data analysis including statistical modelling, machine learning models, and data visualisation tools such as Power BI. You will manage extensive survey programmes, including over 1,000 customer surveys annually and transactional surveys … to better understand tenant needs, with the ultimate goal of making tenants' lives easier through data-driven service improvements. Key Responsibilities: Design and manage comprehensive customer survey programmes, ensuring statistical robustness and regulatory compliance with TSM requirements Process and analyse large datasets using statistical modelling techniques and machine learning approaches to uncover meaningful customer insights Translate complex … enabling the business to better understand different tenant groups and tailor services accordingly Work closely with the Analytics and Insights team to contribute to strategic decision-making through predictive modelling and trend analysis Essential Requirements: Translate data and present findings with strong storytelling abilities, capable of simplifying complex analysis into actionable business insights Demonstrate strong presentation skills and create More ❯

key part of the team's remit will be to gain buy-in from stakeholders for new ways of doing things. What you'll be doing Building and validating statistical models to support business decisions, in line with regulatory requirements. Researching the best techniques for the given purpose and coordinating with others to determine a model specification. Delivering analytical …/statistical modelling and data analysis to support the development of the bank's models Inputting into the scoping, design, development, validation and implementation of models Clearly defining problem statements and researching and testing innovative solutions to address these Documenting the process and outcome of your analysis and model development to support internal review, stakeholder engagement and change … proposals Reviewing existing models to demonstrate continued performance and identify potential enhancements to the modelling suite. We need you to have Strong analytical skills with a good degree in a numerate discipline subject (e.g. statistics, engineering, econometrics) Familiarity of a wide variety of advanced machine learning and AI modelling techniques with some experience of applying them, ideally in More ❯

of intricate business challenges and translation into technical problem statements. o Working with diverse datasets, both internal and external. o Expert application and development of advanced machine learning or statistical modelling techniques to generate actionable insights and deliver measurable impact. Provide hands-on technical mentorship and guidance to junior and mid-level data scientists, fostering best practices, elevating … Skills: Exceptional proficiency in Python (and R) for data science, coupled with SQL capabilities for data manipulation and extraction. Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear models and tree-based methods to advanced deep learning architectures. Practical experience with, or demonstrable capability for, applications of Generative AI, Large Language More ❯

UK Flexible Contract type : Permanent Don't settle for dull. Live a life more Virgin. Our Team Stress Testing and IFRS9 Models work at the intersection of Data Science, Statistical Modelling and Economics within Virgin Money's Model Risk and Analytics function. We use data to support the business through model building or providing actionable insights from the … data. We draw on statistical modelling techniques to produce the best possible predictive models. What you'll be doing Providing input into the scoping, design, development, validation and implementation of credit risk models, in line with Bank standards and regulatory compliance requirements Independently leading statistical analysis to ensure the Retail and Business loan loss provision models currently … in operation remain robust and fit for purpose Leading key discussions and presenting analytical findings and solutions to a range of stakeholders both within and external to the modelling area Providing first-class model documentation and recommendation papers to governance committees Supporting the development of junior analysts. We need you to have Familiarity of a variety of modelling More ❯

research operations, building high-performing teams, and translating complex market intelligence into actionable business insights and products. You possess strong technical foundations with hands-on experience in data analysis, statistical modelling, and emerging AI/ML technologies. You understand both the commercial imperatives of a growing business and the technical challenges of delivering world-class market intelligence at … consulting, or related fields 5+ years’ experience in offshore wind, or other energy and maritime sectors Proven track record managing teams of technical professionals Demonstrated expertise in data analysis, statistical modelling, and database management Strong understanding of AI/ML technologies and their commercial applications Excellent written and verbal communication skills with ability to present to C-suite … audiences Experience with Python, SQL, Excel, and statistical analysis tools Highly Desirable MBA or equivalent advanced business qualification Experience with LLMs, machine learning model development, and cloud computing platforms Track record of successful product development and commercialization for high-growth subscription-based market intelligence providers Experience serving clients across offshore wind value chain (developers, OEMs, financiers, government) Knowledge of More ❯

research operations, building high-performing teams, and translating complex market intelligence into actionable business insights and products. You possess strong technical foundations with hands-on experience in data analysis, statistical modelling, and emerging AI/ML technologies. You understand both the commercial imperatives of a growing business and the technical challenges of delivering world-class market intelligence at … consulting, or related fields 5+ years’ experience in offshore wind, or other energy and maritime sectors Proven track record managing teams of technical professionals Demonstrated expertise in data analysis, statistical modelling, and database management Strong understanding of AI/ML technologies and their commercial applications Excellent written and verbal communication skills with ability to present to C-suite … audiences Experience with Python, SQL, Excel, and statistical analysis tools Highly Desirable MBA or equivalent advanced business qualification Experience with LLMs, machine learning model development, and cloud computing platforms Track record of successful product development and commercialization for high-growth subscription-based market intelligence providers Experience serving clients across offshore wind value chain (developers, OEMs, financiers, government) Knowledge of More ❯

research operations, building high-performing teams, and translating complex market intelligence into actionable business insights and products. You possess strong technical foundations with hands-on experience in data analysis, statistical modelling, and emerging AI/ML technologies. You understand both the commercial imperatives of a growing business and the technical challenges of delivering world-class market intelligence at … consulting, or related fields 5+ years’ experience in offshore wind, or other energy and maritime sectors Proven track record managing teams of technical professionals Demonstrated expertise in data analysis, statistical modelling, and database management Strong understanding of AI/ML technologies and their commercial applications Excellent written and verbal communication skills with ability to present to C-suite … audiences Experience with Python, SQL, Excel, and statistical analysis tools Highly Desirable MBA or equivalent advanced business qualification Experience with LLMs, machine learning model development, and cloud computing platforms Track record of successful product development and commercialization for high-growth subscription-based market intelligence providers Experience serving clients across offshore wind value chain (developers, OEMs, financiers, government) Knowledge of 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 ❯

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 ❯

marketing analytics strategies that drive performance. They work at the intersection of data, digital, and marketing, helping clients optimise campaigns, personalise customer journeys, and improve marketing effectiveness through advanced statistical modelling and data-led insights. With a strong reputation for high-impact delivery and trusted client relationships, this is an opportunity to take ownership of analytics across high … lead for one of the consultancy’s largest clients, owning end-to-end delivery of analytics and presenting recommendations directly to senior stakeholders, including CMOs. Key responsibilities include: Leading statistical analysis across products, campaigns, and digital channels Building attribution models, MMM, clustering, and segmentation using SQL and Python Translating complex data into clear, actionable insights for senior audiences Driving … internal delivery teams Supporting data quality checks and analytics implementation Your Skills 2–4+ years’ experience in digital or marketing analytics Hands-on expertise with SQL and Python for statistical modelling (clustering, MMM, propensity) Confident communicator, comfortable presenting to senior stakeholders and large groups Strong understanding of digital marketing KPIs and campaign performance metrics Proven ability to own More ❯

marketing analytics strategies that drive performance. They work at the intersection of data, digital, and marketing, helping clients optimise campaigns, personalise customer journeys, and improve marketing effectiveness through advanced statistical modelling and data-led insights. With a strong reputation for high-impact delivery and trusted client relationships, this is an opportunity to take ownership of analytics across high … lead for one of the consultancy’s largest clients, owning end-to-end delivery of analytics and presenting recommendations directly to senior stakeholders, including CMOs. Key responsibilities include: Leading statistical analysis across products, campaigns, and digital channels Building attribution models, MMM, clustering, and segmentation using SQL and Python Translating complex data into clear, actionable insights for senior audiences Driving … internal delivery teams Supporting data quality checks and analytics implementation Your Skills 2–4+ years’ experience in digital or marketing analytics Hands-on expertise with SQL and Python for statistical modelling (clustering, MMM, propensity) Confident communicator, comfortable presenting to senior stakeholders and large groups Strong understanding of digital marketing KPIs and campaign performance metrics Proven ability to own More ❯

marketing analytics strategies that drive performance. They work at the intersection of data, digital, and marketing, helping clients optimise campaigns, personalise customer journeys, and improve marketing effectiveness through advanced statistical modelling and data-led insights. With a strong reputation for high-impact delivery and trusted client relationships, this is an opportunity to take ownership of analytics across high … lead for one of the consultancy’s largest clients, owning end-to-end delivery of analytics and presenting recommendations directly to senior stakeholders, including CMOs. Key responsibilities include: Leading statistical analysis across products, campaigns, and digital channels Building attribution models, MMM, clustering, and segmentation using SQL and Python Translating complex data into clear, actionable insights for senior audiences Driving … internal delivery teams Supporting data quality checks and analytics implementation Your Skills 2–4+ years’ experience in digital or marketing analytics Hands-on expertise with SQL and Python for statistical modelling (clustering, MMM, propensity) Confident communicator, comfortable presenting to senior stakeholders and large groups Strong understanding of digital marketing KPIs and campaign performance metrics Proven ability to own More ❯

us We have an exciting opportunity for a Data Scientist to join our rapidly growing Sports Forecasting & Analytics company. Purpose of the role As a Data Scientist within the Modelling & Data Engineering department, you will play a key role in the design, development, and implementation of predictive models that power our sports forecasting products. You will work collaboratively within … a sport-specific team to develop robust, scalable models, contribute to the research and development of new modelling methodologies, and ensure our forecasts remain accurate, low-latency, and aligned with client demands. You will be expected to use your programming, analytical, and mathematical skills to extract insights from data, build high-performance modelling pipelines, and help improve modelling … someone with a strong foundation in data science who is looking to make a meaningful impact in a high-performance, fast-paced environment. Key responsibilities Design, build, and maintain statistical or machine learning models to support sports forecasting and pricing across various markets. Extract actionable insights from large-scale sports datasets using sound mathematical and statistical principles. Translate More ❯

us We have an exciting opportunity for a Data Scientist to join our rapidly growing Sports Forecasting & Analytics company. Purpose of the role As a Data Scientist within the Modelling & Data Engineering department, you will play a key role in the design, development, and implementation of predictive models that power our sports forecasting products. You will work collaboratively within … a sport-specific team to develop robust, scalable models, contribute to the research and development of new modelling methodologies, and ensure our forecasts remain accurate, low-latency, and aligned with client demands. You will be expected to use your programming, analytical, and mathematical skills to extract insights from data, build high-performance modelling pipelines, and help improve modelling … someone with a strong foundation in data science who is looking to make a meaningful impact in a high-performance, fast-paced environment. Key responsibilities Design, build, and maintain statistical or machine learning models to support sports forecasting and pricing across various markets. Extract actionable insights from large-scale sports datasets using sound mathematical and statistical principles. Translate More ❯

us We have an exciting opportunity for a Data Scientist to join our rapidly growing Sports Forecasting & Analytics company. Purpose of the role As a Data Scientist within the Modelling & Data Engineering department, you will play a key role in the design, development, and implementation of predictive models that power our sports forecasting products. You will work collaboratively within … a sport-specific team to develop robust, scalable models, contribute to the research and development of new modelling methodologies, and ensure our forecasts remain accurate, low-latency, and aligned with client demands. You will be expected to use your programming, analytical, and mathematical skills to extract insights from data, build high-performance modelling pipelines, and help improve modelling … someone with a strong foundation in data science who is looking to make a meaningful impact in a high-performance, fast-paced environment. Key responsibilities Design, build, and maintain statistical or machine learning models to support sports forecasting and pricing across various markets. Extract actionable insights from large-scale sports datasets using sound mathematical and statistical principles. Translate More ❯

BettingJobs is currently hiring for a Data Scientist based in London for a leading sports betting services company. Responsibilities: Design, build, and maintain statistical or machine learning models to support sports forecasting and pricing across various markets. Extract actionable insights from large-scale sports datasets using sound mathematical and statistical principles. Translate modelling requirements and business objectives … into effective data science solutions, working closely with the Delivery Manager and Engineering teammates (Software and Data Engineers) within your modelling team. Perform data cleaning, exploratory data analysis (EDA), feature engineering, and model evaluation to support continuous model improvement. Write clean, efficient, well-documented code aligned with team standards for structure, reproducibility, and version control. Work collaboratively with other … Data Scientists to propose ideas, troubleshoot modelling challenges, and refine methodologies. Contribute to the delivery of accurate, reliable forecasts with low latency under evolving client or market demands. Participate in code reviews and collaborative design sessions to uphold technical quality across the team. Provide mentorship and support to Junior Data Scientists working on the same or related projects. Requirements More ❯

dynamic Risk Analytics team. In this role, you play a pivotal role in shaping and refining credit risk strategies across customer acquisition and account management. Leveraging advanced data analytics, statistical modelling and industry best practices, you will drive smarter credit risk decisioning, enhance portfolio performance and support sustainable business growth while ensuring regulatory compliance. Key Responsibilities: Develop, implement … depth exploratory analysis using diverse data sources across various client segments to identify trends, assess risk exposure and generate actionable insights. Optimise credit risk decisioning through advanced analytics and statistical techniques, ensuring lending strategies are within the agreed risk appetite. Perform regular portfolio performance reviews and health checks, identifying emerging trends and key risk indicators while recommending proactive mitigation More ❯

loss models that quantify climate-related risks Calibrate and validate models using qualitative and quantitative techniques, ensuring scientific rigor Contribute to the design and evolution of a scalable loss modelling framework serving diverse geographies and use cases Work closely with geospatial and financial loss datasets, blending observation data with model output at local to global scales Document models, present … make complex models accessible for non-technical stakeholders Visa sponsorship will ONLY be available if ALL the above requirements are met. What Will Make You Stand Out Advanced catastrophe modelling knowledge, especially in exposure/vulnerability domains Applied statistical skills in uncertainty quantification, Bayesian statistics, or Extreme Value Theory Machine learning experience related to climate risk or catastrophe … modelling Experience with cloud platforms such as AWS or Google Cloud If you are interested in this role, please apply with your CV through this site. DISCLAIMER: No terminology in this advert is intended to discriminate on the grounds of age, sex, race, religion or belief, disability, pregnancy and maternity, marriage and civil partnership, sexual orientation, gender, and/ More ❯

loss models that quantify climate-related risks Calibrate and validate models using qualitative and quantitative techniques, ensuring scientific rigor Contribute to the design and evolution of a scalable loss modelling framework serving diverse geographies and use cases Work closely with geospatial and financial loss datasets, blending observation data with model output at local to global scales Document models, present … make complex models accessible for non-technical stakeholders Visa sponsorship will ONLY be available if ALL the above requirements are met. What Will Make You Stand Out Advanced catastrophe modelling knowledge, especially in exposure/vulnerability domains Applied statistical skills in uncertainty quantification, Bayesian statistics, or Extreme Value Theory Machine learning experience related to climate risk or catastrophe … modelling Experience with cloud platforms such as AWS or Google Cloud If you are interested in this role, please apply with your CV through this site. DISCLAIMER: No terminology in this advert is intended to discriminate on the grounds of age, sex, race, religion or belief, disability, pregnancy and maternity, marriage and civil partnership, sexual orientation, gender, and/ 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 ❯

PowerBI reports, dashboards, and datasets for operational, strategic, and Trustee-level reporting. Carry out data analysis at descriptive, diagnostic, predictive, and (where possible) prescriptive levels using PowerBI, SQL, and statistical techniques. Work closely with stakeholders across all departments to gather requirements, shape reporting solutions, and provide actionable recommendations. Collaborate through Azure DevOps to plan and deliver realistic reporting and … analytics projects. Contribute to improving data processes, modelling, and governance, staying current with emerging technologies and exploring opportunities to use AI and automation. Share knowledge and provide training, helping colleagues get the best out of BI tools while supporting a resilient analytics function. About us St. Margaret's Hospice is a respected charity in Somerset, dedicated to providing compassionate … PowerBI reports, dashboards, and datasets to support operational teams, senior management, and Trustee-level oversight. Deliver analysis at descriptive, diagnostic, predictive, and prescriptive levels using PowerBI, MS SQL, and statistical techniques. Apply statistical and modelling techniques that go beyond traditional reporting, providing forecasts and recommended actions to inform decision-making. Provide actionable insights by identifying trends, patterns More ❯

M.Sc. or Ph.D. in: Machine Learning, Statistics, Applied Mathematics, Computer Science, Engineering, etc. Experience using Python is a must Knowledge of cloud technologies important (agnostic) A strong knowledge of statistical/machine learning models applied to real-world problems A keen interest in problem-solving and using scalable machine learning to solve data-related problems is important A focus More ❯

SQL skills, with experience working with large structured and unstructured datasets. • Experience building interactive dashboards and reporting tools. • Familiarity with data engineering, ETL processes, and data pipelines. • Experience with statistical modelling and machine learning techniques, and libraries such as scikit-learn, PyTorch, or TensorFlow. • Excellent communication skills—able to explain complex analysis to non-technical stakeholders. • Proactive, inquisitive More ❯

have Experience with machine learning libraries and frameworks (e.g., TensorFlow, Scikit-learn, PyTorch). With a background in data mining and pattern recognition you'll be an expert in statistical modelling, predictive analytics and regression techniques. An industry certification in data science or a related field is required. About us emh group is one of the largest providers More ❯

the full potential of data across the Group. Responsibilities Develop AI and ML solutions with guidance, including feature selection, model training and validation Prepare and explore data ahead of modelling Utilise a modern tech stack for data science, including python, google cloud and other tools Work closely with data and ML engineers to develop and scalably integrate modelling … tuning are beneficial but not mandatory. Strong analytical and research skills with the ability to interpret complex data Familiarity with the theory and mathematical foundations of machine learning and statistical modelling Familiarity with data management systems and tools such as SQL. Experience with cloud data science environments is beneficial but not mandatory. Excellent written communication skills and attention More ❯