1 to 25 of 77 Statistical Modelling Jobs in the UK excluding London

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 ❯

CI/CD, and modern cloud engineering practices. Wherever you land, you'll be working with some of the biggest datasets in the UK — using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing • Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural … workflows using Apache Spark, Vertex AI, and CI/CD tooling to ensure seamless model delivery and monitoring. • Apply advanced techniques in deep learning, natural language processing (NLP), and statistical modelling to extract insights and drive decision-making. • Explore and evaluate Generative AI applications, including prompt engineering, fine-tuning, and safety alignment using tools like Gemini, Claude, and … Python • Machine learning techniques and theory • Generative and Agentic AI • AI Solution design and evaluation techniques • Cloud platforms like GCP • CI/CD, DevOps and software engineering • Data analysis, modelling and strategic design • Business and commercial insights Your multi-week AI power-up We start with a blended learning bootcamp. Your fast track from fundamental concepts to advanced technologies More ❯

data systems (e.g., MRI, Northgate, Civica, or Orchard) and the ability to apply advanced analytics to operational challenges in housing (desirable). Demonstrated experience in using machine learning, predictive modelling, and statistical analysis to solve real-world problems. Expertise in statistical modelling, predictive analytics, clustering, classification, and regression techniques. Strong background in data mining, pattern recognition More ❯

data systems (e.g., MRI, Northgate, Civica, or Orchard) and the ability to apply advanced analytics to operational challenges in housing (desirable). Demonstrated experience in using machine learning, predictive modelling, and statistical analysis to solve real-world problems. Expertise in statistical modelling, predictive analytics, clustering, classification, and regression techniques. Strong background in data mining, pattern recognition More ❯

drive business insights, product innovation, and operational efficiencies at IMS. This role plays a critical part in enhancing telematics, mobility, and insurance technology solutions through data-driven decision-making, statistical analysis, and AI-driven automation. The Senior Data Scientist works closely with Product Managers, Software Engineers and other Data Scientists to ensure scalable, production-ready models that provide value … for large-scale datasets. Work on supervised, unsupervised, and reinforcement learning models to enhance decision-making. Leverage telematics, mobility, and insurance data to generate actionable insights and product improvements. Statistical Analysis and Data Modelling Conduct exploratory data analysis (EDA) to uncover trends, anomalies, and business opportunities. Ensure robustness and scalability of data science pipelines, minimizing bias and improving … Julia, with proficiency in pandas, NumPy, SciPy, scikit-learn, TensorFlow, or PyTorch. Experience with SQL, NoSQL, and big data technologies (Spark, Hadoop, Snowflake, Databricks, etc.). Strong background in statistical modelling, probability theory, and mathematical optimization. Experience deploying machine learning models to production (MLOps, Docker, Kubernetes, etc.). Familiarity with AWS/GCP/Azure cloud ML platforms More ❯

safely and with less environmental impact. .# Job Description # Key Responsibilities May Include: Collaborate with key stakeholders to identify business challenges, translating ambiguous problems into structured analyses using statistical modelling and machine learning algorithms. Lead the selection, validation, and optimization of models to discover meaningful patterns and insights, ensuring models remain relevant, reliable, and scalable. Drive continuous … and resource allocation. Contribute to the creation of business cases by quantifying the impact of data science solutions on supply chain KPIs and financial outcomes. Focus on data science modelling in close collaboration with the Data Engineering team, which is responsible for data wrangling, clean-up, and transformation to provide high-quality data for analysis. Experience: Proven track record … designing, developing, and deploying advanced machine learning and statistical models in complex supply chain environments. Extensive hands-on experience collaborating with data engineering teams for data wrangling, cleaning, and transformation to ensure high-quality datasets for modelling. Proficient in programming languages such as Python, R, and SQL for data analysis and model development. Experience working with cloud computing platforms More ❯

balance and flexibility through our Hybrid Work Model. Job Description Key Responsibilities May Include: Collaborate with key stakeholders to identify business challenges, translating ambiguous problems into structured analyses using statistical modelling and machine learning algorithms. Lead the selection, validation, and optimization of models to discover meaningful patterns and insights, ensuring models remain relevant, reliable, and scalable. Drive continuous … and resource allocation. Contribute to the creation of business cases by quantifying the impact of data science solutions on supply chain KPIs and financial outcomes. Focus on data science modelling in close collaboration with the Data Engineering team, which is responsible for data wrangling, clean-up, and transformation to provide high-quality data for analysis. Experience: Proven track record … designing, developing, and deploying advanced machine learning and statistical models in complex supply chain environments. Extensive hands-on experience collaborating with data engineering teams for data wrangling, cleaning, and transformation to ensure high-quality datasets for modelling. Proficient in programming languages such as Python, R, and SQL for data analysis and model development. Experience working with cloud computing platforms More ❯

users to identify patterns in usage, engagement, and retention. Supporting retention strategies through data-driven recommendations across push, email, and in-app activity. Collaborating with data science on predictive modelling (e.g., behavioural modelling, risk likelihood). Ensuring data quality and readiness in partnership with engineering and tagging teams. Leading and developing a team of digital analysts, providing coaching … direction, and technical guidance. TECHNICAL ENVIRONMENT Tools: SQL, GA4, BigQuery Languages: Python, R Focus Areas: Digital analytics, predictive modelling, product behaviour, insight generation No tagging responsibilities - handled by a specialist team Leadership-first role, but with enough technical depth to guide high-quality analysis SKILLS & EXPERIENCE REQUIRED Essential: Experience in analytics, digital insights, or data science. Strong background in … digital analytics, predictive modelling, or behavioural insights. Ability to translate complex analytical outputs into clear business recommendations. Experience managing or mentoring analysts. Comfortable working across app and web journeys, particularly around engagement and retention. Strong communication skills with the ability to influence stakeholders at multiple levels. High energy, proactive mindset, and the ability to bring momentum to projects. Desirable More ❯

at the heart of an ambitious and highly regarded company leading innovation in the prop tech space. The role of the Analytics Associate is to perform detailed analyses and modelling of property and mortgage data and provide data analytics support to the wider team and customers. The candidate should be self-motivated, have a rigorous mindset and a structured … approach to task management. REQUIREMENTS KEY RESPONSIBILITIES Perform detailed analyses and statistical modelling of property and mortgage data Run and process valuations of property portfolios using Hometrack's AVM engine and assist with the analysis and risk modelling of its application Compile high-quality reports, typically in a written format or slideware, of a quantitative nature, for … mortgage lenders, housing associations and other Hometrack customers and partners Contribute to the development, assessment, and ongoing monitoring of the statistical performance of the Hometrack AVM and other models and services Build and maintain business intelligence tools (e.g., visualisation reports) to support the commercial and product teams Provide clear and accurate answers to client queries that require analytical input More ❯

strategy, and optimise commercial performance. This is a high-impact role for a proactive, solutions-oriented professional who can prioritise based on business needs. Key Responsibilities: Deliver analytics and statistical modelling to shape commercial strategy and support measurable business outcomes. Prepare sales and product forecasts, including OTE projections, to aid planning and resource allocation. Track, analyse, and report … like you to have: 37 years of experience in data analytics, business intelligence, or commercial analysis. Strong proficiency in Excel and experience with BI platforms (Power BI, Tableau) and statistical modeling. Ability to translate data insights into actionable recommendations for sales, finance, and product teams. Commercial awareness, analytical mindset, and strong problem-solving skills. Excellent communication and stakeholder management More ❯

Senior Data Scientist - Asset Risk Modelling London - Hybrid, 3 days in office£85,000 - £90,000 + Bonus + Great Pension + Private Healthcare + 28 days Holiday + Hybrid Working This is a brilliant opportunity for a Senior Data Scientist with strong experience in model risk management, pricing, and insurance to join a market-leading organisation during a … SMR, Insurance Lease Pricing, Economic Capital, and Customer Pricing. As part of their continued expansion, they are now seeking a talented Senior Data Scientist to join the Asset Risk Modelling Team and help shape the future of their modelling capabilities.In this role, you will take ownership of developing, maintaining, and enhancing advanced forecasting and pricing models that underpin … critical business decisions. Working closely with the Modelling Manager and wider stakeholders, you'll ensure the robustness and transparency of all models, while continuously improving methodologies, data use, and analytical processes. You will also play a key role in delivering the model risk management framework across the Asset Risk function.The ideal candidate will be an experienced Data Scientist/ More ❯

to deliver actionable insights and drive business impact. Responsibilities - Analyse large, complex datasets to identify trends, patterns, and opportunities for Client’s products and business operations.- Develop and implement statistical models and machine learning algorithms to solve business problems.- Communicate findings and recommendations to stakeholders in a clear and concise manner.- Collaborate with engineering, product, and business teams to … Requirements - Proven experience as a Data Scientist or in a similar analytical role.- Proficiency in data analysis tools and programming languages (e.g., Python, R, SQL).- Strong understanding of statistical modelling, machine learning, and data visualization techniques.- Excellent problem-solving skills and attention to detail.- Ability to communicate complex technical concepts to non-technical audiences.- Bachelor’s degree More ❯

We are seeking a fluent Spanish speaking Business Intelligence/Data Modelling Analyst to join an expanding analytics department within the Travel & Logistics sector. This role is based in Birmingham and will focus on leveraging data to provide actionable insights and new modelling techniques to enhance commercial ROI. Client Details This position is with a large International organisation … their customers. Description Develop and maintain business intelligence dashboards and reporting tools. Leverage Python, SQL and Tableau to create enhanced forecasting and demand planning analytics Deploy predictive and advanced modelling techniques to support Pricing, Marketing and Operational departments in their strategic decision making Analyse complex data sets to identify trends and insights. Provide accurate forecasts to support decision-making … Analyst should have: Proficiency in data analysis and forecasting tools - Python and SQL is essential Strong knowledge of business intelligence platforms e.g Tableau or Power BI Advanced data/statistical modelling skills Fluent Spanish speaking skills Experience in the Travel, Logistics or Supply Chain industry or a related field. Excellent problem-solving and analytical skills. Ability to communicate 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 ❯

to deepen their expertise and grow within a dynamic AI team working at the frontier of applied analytics and machine learning. Responsibilities: Contribute to the development of predictive and statistical models addressing business-critical challenges across diverse domains. Conduct exploratory data analysis, feature engineering, and hypothesis testing to uncover patterns and support model development. Collaborate with senior data scientists … team's knowledge base by documenting workflows and sharing best practices. Requirements 5+ years of experience applying data science or advanced analytics in a professional setting. Solid understanding of statistical modeling, machine learning fundamentals, and experimental design. Experience with predictive modeling techniques such as regression, classification, clustering, or time-series forecasting. Proficiency in Python and experience with data science More ❯

to join an expanding analytics department within the Travel & Logistics sector. This role is based in Birmingham and will focus on leveraging data to provide actionable insights and new modelling techniques to enhance commercial ROI. Client Details This position is with a large International organisation operating within the Travel/Logistics sector. They are recognised for their expertise in … their customers. Description Develop and maintain business intelligence dashboards and reporting tools. Leverage Python, SQL and Tableau to create enhanced forecasting and demand planning analytics Deploy predictive and advanced modelling techniques to support Pricing, Marketing and Operational departments in their strategic decision making Analyse complex data sets to identify trends and insights. Provide accurate forecasts to support decision-making … Analyst should have: Proficiency in data analysis and forecasting tools - Python and SQL is essential Strong knowledge of business intelligence platforms e.g Tableau or Power BI Advanced data/statistical modelling skills Fluent Spanish speaking skills Experience in the Travel, Logistics or Supply Chain industry or a related field. Excellent problem-solving and analytical skills. Ability to communicate 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 ❯