1 to 25 of 92 Statistical Modelling Jobs in the UK

intricate business challenges and translation into technical problem statements, working with diverse datasets (internal and external), and expert application of advanced machine learning or statistical modelling techniques to generate actionable insights and measurable impact. Provide hands‐on technical mentorship and guidance to junior and mid‐level data scientists … 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 ...

multiple leading brands and charities helping to transition manual workflows into scalable, automated, production ready systems, building innovative tools which strengthen the marketing mix modelling and econometrics capabilities. What you'll do Maintain and enhance core Python modelling tools for Marketing Effectiveness Migrate manual workflows into automated production … peer code reviews You'll need to have Strong Python engineering skills (clean, modular, production-ready code) Experience in data science, including ML/statistical modelling for MMM and econometrics Strong SQL for data extraction and analysis Solid understanding of software engineering fundamentals (Git, agile workflows) Ability ...

transforms complex, cross‐channel data into strategic insights and measurable business impact. You’ll shape the technical direction for advanced analytics initiatives, driving sophisticated modelling, experimentation, and data infrastructure capabilities that support smarter decision‐making across the organization. Operating at the intersection of data science, marketing, and business strategy … experimentation frameworks, including geo‐based and holdout incrementality testing, to rigorously validate marketing investment decisions at scale Evolve the organisation's Marketing Mix Modelling (MMM) capability, including model development, calibration, and translation into actionable budget allocation recommendations for senior leadership Develop sophisticated statistical models such as LTV prediction ...

support commercial performance and strategic decision-making. Ensure data accuracy, consistency and integrity across reporting processes. Data Analysis & Commercial Insight Conduct detailed analysis and statistical modelling to identify patterns, trends and anomalies across the business, including but not limited to: Category performance and trend analysis Promotional and campaign … effectiveness Seasonal trend analysis and forecasting Claims trend identification and recommendation of corrective actions Budget modelling and forecasting support Proactive sales performance analysis Private Label performance analysis by market to identify growth opportunities Identification of new business and market opportunities Reporting & Dashboard Development Develop and maintain automated reports ...

work across areas including oncology, immunology and neurodegeneration. This role would suit a scientist-turned-coder or scientific data scientist with strong Python skills, statistical modelling experience and a background working with bioassay or experimental biology data. The Role You will build and improve Python-based analytical pipelines … understand assay logic, experimental design and data handover processes, then translate those workflows into automated, reproducible analysis pipelines. The work will involve dose-response modelling, curve fitting, QC, normalisation, plate-level statistics and data validation, helping scientists generate clearer, faster and more reliable insight from complex experimental data. ...

technology and data analytics business, is looking for a Senior Quantitative Specialist to join its research and development team. This role focuses on developing statistical football models, analysing complex datasets, and building automated betting and performance analysis solutions. Key Responsibilities Develop and enhance football modelling and statistical … with data scientists and software engineers Requirements Commercial experience using Python, R, or similar programming languages Experience developing football models within industry environments Strong statistical modelling and data analytics skills Degree in Mathematics, Statistics, Computer Science, Engineering, or similar quantitative discipline Excellent analytical and problem-solving ability Strong ...

covering at least one of the following areas: Deep understanding of machine learning algorithms including supervised, unsupervised, and reinforcement learning approaches Strong proficiency in statistical modelling, time‐series forecasting, and predictive analytics Experience with deep learning frameworks (TensorFlow, PyTorch, Keras) Knowledge of prompt engineering, RAG (Retrieval Augmented Generation … code tools such as LangGraph, AutoGen, Semantic Kernal and MS CoPilot Experience in any of the following: Finance Forecasting: Revenue prediction, cashflow modelling, financial planning, risk modelling Energy Optimization: Load forecasting, grid optimization, demand response, renewable energy prediction Predictive Maintenance: Equipment failure prediction, anomaly detection, remaining useful life ...

producing high-quality outcomes. Responsibilities Deliver data science projects, from problem definition through to actionable insights and presentation of results Develop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomes Build and maintain data pipelines, ensuring data quality, consistency, and integrity … contribution to the enhancement of Sagacity’s data science and analytics product suite Competencies and Experience 2+ years’ experience in data science, analytics, or statistical modelling, ideally with commercial experience within the Telecoms, Banking or Utilities industries; or within a data-related consultancy Educated to degree level (postgraduate ...

development of presentation decks and communication Preferred Criteria Deep understanding of machine learning algorithms including supervised, unsupervised, and reinforcement learning approaches Strong proficiency in statistical modelling, time‐series forecasting, and predictive analytics Experience with deep learning frameworks (TensorFlow, PyTorch, Keras) Knowledge of prompt engineering, RAG (Retrieval Augmented Generation … code tools such as LangGraph, AutoGen, Semantic Kernal and MS CoPilot Experience in any of the following: Finance Forecasting: Revenue prediction, cashflow modelling, financial planning, risk modelling Energy Optimization: Load forecasting, grid optimization, demand response, renewable energy prediction Predictive Maintenance: Equipment failure prediction, anomaly detection, remaining useful life ...

today focuses on developing and deploying analytical tools and web-based products that support forecasting, optimisation, and automated insight. Our projects span machine learning, statistical modelling, data engineering, data visualisation and MLOps, always with a focus on delivering tangible business outcomes. As demand for digital and AI-enabled ...

site each month. however, remote options will be considered for the right candidate. What you can expect from the Role Advanced Analytics and Modelling Develop predictive models (e.g. customer lifetime value, propensity, response modelling) Apply segmentation and clustering techniques to refine customer targeting Build attribution and measurement frameworks … engagement, revenue and profitability Collaboration & Capability Building Act as a technical expert within the analytics team, supporting analysts and stakeholders Promote best practice in statistical methods, experimentation and modelling Contribute to building a data-driven culture across the business What we expect from you Proven experience in Data ...

research challenges. The Role and Deliverables Design, build, and maintain Python-based analytical pipelines for a range of experimental and bioassay data. Implement robust statistical and modelling workflows, including quality control, normalisation, and curve fitting. Translate scientific workflows into reproducible, automated analysis processes. Partner closely with laboratory-based … Experience Strong experience using Python for scientific or analytical software development. Proven capability analysing complex, structured experimental or assay-style datasets. Solid understanding of statistical modelling, curve fitting, and data quality control. Experience building end-to-end data or analysis pipelines with a focus on reproducibility. Comfortable using ...

bringing order to complex, fragmented data environments—all in service of a Fortune 100 automotive client. Major Responsibilities Advanced Analytics Execution: develop ad hoc statistical models, custom analyses, and exploratory data work to support senior team members in building strategic recommendations and client deliverables. Data Visualization & Presentation Support: create ...

through data-driven insight and technical modelling. You'll work closely with experienced pricing specialists and cross-functional teams, supporting live pricing decisions through modelling, forecasting, optimisation and analysis. The Role As a Technical Pricing Analyst, you'll be involved in: Building and enhancing pricing models to predict customer … optimisation activity Developing forecasting models and monitoring performance against forecasts Preparing, validating and reconciling datasets to support robust pricing analysis Exploring new data sources, modelling techniques and analytical tools Monitoring model performance and recommending improvements where required Working closely with Pricing, Finance, Marketing, Insights and Compliance teams Supporting pricing ...

technical stakeholders Ensure best practices in model performance, explainability, robustness and governance Stay at the forefront of emerging techniques, particularly within forecasting and predictive modelling Mentor team members and help build technical capability across the team What We're Looking For Essential experience: Experience in Data Science with … proven track record of solving complex problems Expertise in time series forecasting (e.g. demand forecasting, trend modelling, seasonality analysis) Solid foundation in statistical modelling and machine learning theory Proficiency in Python and experience working with large, complex datasets using SQL and Spark Ability to manage multiple priorities ...

driven solutions Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast ...

bring Strong track record delivering end-to-end data science solutions (preferably B2C) in cloud environments. Deep expertise in machine learning and statistical modelling, with proven impact in areas like personalisation, churn, pricing, and optimisation. Ability to quickly understand a business objective, problem solve to create an analytical ...

deployment.Strong Python programming skills, including object-oriented design and proficiency with key ML libraries (e.g., PyTorch, TensorFlow, Scikit-Learn).Solid understanding of probability and statistical modeling to support robust model development and interpretation.Experience with cloud platforms (especially Azure and/or AWS) and modern deployment practices for scalable ...

exciting time for the business, with the team growing rapidly and working across a wide spread of client challenges including: Financial analysis and scenario modelling to support strategic reorientation Analysis in support of operating model redesign Business transformation to reduce operating costs Modelling future state workforce needs Designing … materials Supervise and mentor junior members of the team 3+ years experience in management consulting or strategy roles Strong proficiency in data analysis and statistical modelling to drive improved business outcomes Advanced ability to produce high-quality, insightful outputs Experience building predictive models drawing on a variety ...

data from the largest real-time fraud detection platform to craft solutions for our enterprise customers. About the role: Your experience with data analysis, statistical modelling, and machine learning will lead to immediate real-world impact in the form of lower customer friction, reduced fraud losses ...

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 appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help ...

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 appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help ...

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 appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help ...

across model analysis, client analysis, and advanced methodologies Define and embed best practices for reproducible, modular, and scalable data science pipelines Set standards for statistical validity, analytical rigor, and reproducibility of outputs across the organisation Ensure strong alignment with machine learning, data engineering, and clinical teams Translate ML outputs … science outputs that support commercial offerings and client value propositions Own the transformation of machine learning outputs into clinical trial endpoints, biomarker definitions, and statistical outputs used by sponsors Ensure outputs are scientifically valid, clinically interpretable, and suitable for regulatory use and use by sponsors Develop advanced analytical methodologies ...

across model analysis, client analysis, and advanced methodologies Define and embed best practices for reproducible, modular, and scalable data science pipelines Set standards for statistical validity, analytical rigor, and reproducibility of outputs across the organisation Ensure strong alignment with machine learning, data engineering, and clinical teams Translate ML outputs … science outputs that support commercial offerings and client value propositions Own the transformation of machine learning outputs into clinical trial endpoints, biomarker definitions, and statistical outputs used by sponsors Ensure outputs are scientifically valid, clinically interpretable, and suitable for regulatory use and use by sponsors Develop advanced analytical methodologies ...