1 to 25 of 88 Permanent Statistical Modelling Jobs in the UK

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 ❯

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 ❯

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 ❯

FOR? The Cloud and Data Engineering team is looking for data scientists who are passionate about enabling the next generation of automotive software development. Our data science engineers employ statistical modelling and measurement frameworks to model the distribution of road events in the real world, and inform our long-term validation and ML training data strategy. They embed … data challenges, such as developing evaluation frameworks for AD/ADAS deployment readiness and the fidelity of simulation. The right candidate will have excellent communication skills, experience in using statistical methods in an applied setting and in developing metrics and evaluation frameworks, as well as familiarity with Machine Learning systems. RESPONSIBILITIES Use statistical modeling to shape the our … scipy, scikit, pandas, etc.) and SQL or other languages for relational databases. Experience with a cloud platform such as (AWS, GCP, Azure etc.) Experience with common data science tools; statistical analysis, mathematical modelling etc. Experience in developing analytical frameworks to facilitate data-driven decision making in the face of high ambiguity A track record of building relationships with More ❯

of the Data Science function, supporting the Digital Strategy and its goals around Digitisation, specifically through big data, artificial intelligence and machine learning. The role focuses on applying advanced statistical methods and artificial intelligence to the 4 key levels of analytics; descriptive, diagnostic, predictive and prescriptive, providing high quality evaluation into the cause and effect of the complex challenges … divisions. To be the lead for a designated team and provide expert support to underpin project work and decision making for the needs of a modern NHS. Formulate complex statistical models and algorithms using a variety of data languages to support analysis and decision making, presenting these back to stakeholders at meetings as the BI representative. Closing date of … complex data analysis programmes of work Desirable Evidences an understanding of Python programming Proven knowledge of NHS information datasets, data manual and IT/reporting systems Practical experience in modelling e.g. forecasting, capacity and demand Skills and Ability Essential Has an understanding of classical statistical methods and their application in healthcare Demonstrates project management skills, including contribution towards More ❯

which has not previously been obtainable. The Role Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and Interpretation: Evaluate … learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills Data Science: Proficient in programming languages like Python, R, and SQL including data manipulation, data imputation, statistical modelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time series forecasting. Media Industry Knowledge … Understanding of media landscape, ad formats, audience measurement, and industry KPIs. Communication Skills: Ability to clearly communicate complex statistical concepts and insights to non-technical stakeholders. Business Acumen: Understanding of business objectives and ability to translate data insights into actionable strategies. Marketing Mix Modelling (MMM): Build and maintain complex MMM models to assess the incremental impact of different More ❯

which has not previously been obtainable. The Role: Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and Interpretation: Evaluate … learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science: Proficient in programming languages like Python, R, and SQL including data manipulation, data imputation, statistical modelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time series forecasting. Media Industry Knowledge … Understanding of media landscape, ad formats, audience measurement, and industry KPIs. Communication Skills: Ability to clearly communicate complex statistical concepts and insights to non-technical stakeholders. Business Acumen: Understanding of business objectives and ability to translate data insights into actionable strategies. Additional Skills: Marketing Mix Modelling (MMM): Build and maintain complex MMM models to assess the incremental impact 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 ❯

Board. Main duties of the job Key Responsibilities Provide direction to the Health Board's analytics teams, fostering innovation and continuous improvement. Champion the use of advanced analytics, predictive modelling, and data science to improve patient care, service delivery and strategic planning. Oversee the design and delivery of analytical tools and products to support clinicians, managers, and executives in … leader with: A Masters degree (or equivalent by experience) in a relevant field such as Data Science, Statistics, Mathematics, or Operational Research. Significant experience in leading data analytics and modelling in a healthcare or similarly complex environment. Proven ability to translate complex data into actionable insights that drive change. Expertise in advanced analytical methods and tools (such as SQL … field (e.g. Computer Studies, Data Science, Operational Research, Mathematics, Statistics) or equivalent level of demonstrable knowledge and experience. Extensive knowledge and experience in the application of advanced analytics, mathematical modelling and Operational Research within healthcare settings. Comprehensive understanding of NHS structures, policies, and data system Extensive knowledge and experience in the application of mixed methods evaluation (eg qualitative and 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 ❯

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 ❯

Duties and responsibilities will include: Mining data from a variety of company databases and systems Preparation of data for analysis Data analysis and interpretation, identifying patterns and potential insights Statistical modelling and using machine learning techniques to identify trends and make forecasts Evaluating model performance using different metrics and refining models to improve performance Create visual representation of … s degree in data science, applied data science or related field preferred Experienced with database systems, SQL and full proficiency in Power BI Mathematically minded with solid knowledge of statistical methods and probability Experienced with various machine learning algorithms and frameworks Analytical with a sound problem solving ability Task orientated with a solid sense of urgency Excellent communication skills More ❯

Duties and responsibilities will include: Mining data from a variety of company databases and systems Preparation of data for analysis Data analysis and interpretation, identifying patterns and potential insights Statistical modelling and using machine learning techniques to identify trends and make forecasts Evaluating model performance using different metrics and refining models to improve performance Create visual representation of … s degree in data science, applied data science or related field preferred Experienced with database systems, SQL and full proficiency in Power BI Mathematically minded with solid knowledge of statistical methods and probability Experienced with various machine learning algorithms and frameworks Analytical with a sound problem solving ability Task orientated with a solid sense of urgency Excellent communication skills 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 ❯

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 ❯

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 ❯

identify and monitor key drivers and characteristics of claims, feeding back into underwriting performance Operational analytics - work with the claims team to help optimise claims processes for example resource modelling and improvement of MI/KPI reporting Lead the development of the claims analytics framework for Markel International Develop a comprehensive understanding of local business lines, market practices, claims … meetings as the need arises. Our must-haves: Strong experience in translating complex business requirements into actionable analytical models that deliver insights Extensive experience in data science techniques including statistical modelling, machine learning algorithms, and AI. Comfortable with model development, validation, deployment, and performance monitoring. Advanced programming skills in Python or R and experience with SQL. Experience with More ❯

projects, collaborating closely with range of clients and stakeholders across the business, advising on best analytical approaches to guide your clients' decisions. With strong data analysis, machine learning and statistical modelling expertise you will lead projects across multiple sectors including technology, financial services, public sector, retail, utilities and more. You will be able to showcase your expertise in … modelling market research survey data, multivariate statistics, segmentation, conjoint analysis and behavioural analysis. Utilising your strong communication skills, you will also play a central role in coaching and training other talented team members and lead innovative analytical initiatives. Responsibilities Lead projects across multiple sectors including technology, financial services, public sector, retail, utilities and more. Showcase expertise in modelling More ❯

Python or R or other scripting language Experience in building quantitative solutions as a scientist or science manager Experience directly managing scientists or machine learning engineers Experience in applying statistical models for large-scale application and building automated analytical systems Preferred Qualifications Experience in a least one area of Machine Learning (NLP, Regression, Classification, Clustering, or Anomaly Detection) Experience More ❯

new data solutions, scale existing data applications, and bend Strider's data strategies to accomplish many goals within a growing startup. We're looking for someone with expertise in statistical modeling who is deeply curious and demonstrates a proven ability to build data solutions from scratch. What you will do: Dig into messy, unstructured data every day to answer 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 ❯