1 to 25 of 123 Permanent Statistical Modelling Jobs in the UK excluding London

working hours based on a 37-hour week, Monday to Friday. The role will support the Head of Wastewater Strategy and the growing WRc modelling team in delivering exceptional solutions for the wastewater sector. You will bring ideas, drive, and energy and be highly capable of engaging with clients … framework contracts but also novel one-off projects both in the UK and overseas. This typically involves undertaking feasibility studies/projects using computer modelling, statistical modelling, GIS and data analysis to support operational and environmental recommendations or other interventions. Responsibilities: Demonstrate an ability to successfully deliver … curiosity, drawing on innovation in academia and industry. Person Specification: You will have proven previous experience in the water sector focused on wastewater network modelling, asset management, drainage planning and data analytics. In addition, you will be able to highlight experience associated with the future challenges that face the More ❯

Econometric Modelling Lead (Marketing Mix Modelling) London (Hybrid) | Permanent | £60k-70k base Own the insight. Lead the impact. Join a multi-award-winning analytics powerhouse that’s redefining how brands measure success. We’re looking for a rising star in Marketing Mix Modelling - someone with proven hands … from scoping to insight delivery. Be the face of MMM : Own client relationships, manage stakeholders, and confidently present recommendations. Build and refine automated, scalable modelling solutions using Python, R, or SQL. Collaborate with internal Centres of Excellence to push boundaries in analytics and attribution. Help shape innovative data science … and inspire junior team members, fostering growth and excellence. What You Bring Hands-on experience in MMM/econometric modelling. A strong grounding in statistical modelling with the ability to translate complexity into clarity . Confident storyteller—able to explain technical insights in commercial terms. Solid skills in More ❯

Science Pedigree : Proven track record in senior data science or advanced analytics leadership roles, ideally within innovative or regulated environments. Technical Depth : Expertise in statistical modelling, machine learning (supervised and unsupervised), deep learning, and MLOps. Proficiency in Python, SQL, and data science platforms such as Dataiku, Azure Synapse … insights group, designed to act as an internal accelerator for data-powered innovation. You’ll be empowered to explore emerging methods and tools, traditional statistical modelling ideas, and foundation models to advance to real-time personalisation techniques. The company is already investing heavily in its next-gen analytics More ❯

Econometric Modelling Lead (Marketing Mix Modelling) 📍 London (Hybrid) | 🧠 Data Science & Analytics | 🎯 Permanent, Full-Time £45,000-£55,000 Are you ready to take the lead in cutting-edge marketing measurement? Join a highly respected and award-winning analytics team as a Lead Econometrician . We're seeking a … talented individual with at least 2 years of hands-on experience in marketing mix modelling who’s ready to step into a leadership role—owning client relationships, leading delivery, and pushing innovation in media measurement. This is a rare opportunity to be part of a collaborative and data-driven … to presentation, ensuring actionable insights. Confidently present complex analysis to clients and internal stakeholders. Use your coding knowledge to streamline processes and develop new modelling solutions. Manage stakeholder relationships and act as the primary point of contact for key clients. Collaborate with internal Centres of Excellence to deliver best More ❯

the power of data to extract meaningful insights, inform strategic decisions, and contribute to the overall success of the organisation using machine learning and statistical techniques. You will have access to the latest analytical tools and the chance to work with some of the most renowned Decision Data leaders … Access to Saga Academy, our bespoke learning platform Main Responsibilities Our Senior Data Scientist will be fully accountable for the following areas; Advanced Analytics & Modelling: Design, develop, and implement advanced machine learning algorithms and statistical models to solve complex business problems. Drive the exploration and adoption of cutting … languages such as Python and SQL. (A technical task will form part of the interview process.) Already be a credible expert in machine learning, statistical modelling and data analysis. Demonstrate excellent communication skills with the ability to convey complex technical concepts to both technical and non-technical stakeholders More ❯

data visualisation tools (e.g., Power BI, Tableau). Hands-on experience with cloud platforms such as AWS, GCP, or Azure. Expertise in machine learning, statistical modeling, and predictive analytics. Excellent communication and stakeholder management skills. Desirable: Experience working with large-scale retail datasets (e.g., POS, CRM, supply chain). More ❯

data visualisation tools (e.g., Power BI, Tableau). Hands-on experience with cloud platforms such as AWS, GCP, or Azure. Expertise in machine learning, statistical modeling, and predictive analytics. Excellent communication and stakeholder management skills. Desirable: Experience working with large-scale retail datasets (e.g., POS, CRM, supply chain). More ❯

to ensure data quality and consistency. Handle missing data, outliers, and inconsistencies in large datasets. Data Analysis and Modeling: Analyze extracted data using advanced statistical and machine learning models. Collaborate with data scientists to implement state-of-the-art models for predictive and prescriptive analytics. Financial Data Expertise: Leverage More ❯

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. … 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 More ❯

deploy models that relate to App and Web user behaviour, customer profiles and more to improve healthcare service delivery through digital means Conduct advanced statistical analyses, including hypothesis testing and predictive modelling Question and improve open current models and data definitions based on insights and findings Collaborate with … experience with languages like SQL, Python Substantial experience with python libraries such as NumPy, Pandas, SciPy, scikit-learn Applied knowledge of machine learning/statistical modelling techniques Experience in using a tag management system like TealiumIQ Knowledge of software development life cycle processes and tools Familiar with product More ❯

in Data Science, Statistics, Mathematics, or a related field. Experience 2+ years of experience in data science or analytics. Proven expertise in machine learning, statistical analysis, and predictive modeling. Experience designing experiments and modeling solutions for business problems. Preferred Qualifications Proficiency in Python or R (R knowledge is a More ❯

time series forecasting to help us predict key business metrics, drive strategic decision-making, and optimize operations. In this role, you'll apply advanced statistical methods and forecasting models to uncover trends and inform high-impact business strategies. What You'll Do: Develop and implement time series forecasting models More ❯

data visualisation tools (e.g., Power BI, Tableau). Hands-on experience with cloud platforms such as AWS, GCP, or Azure. Expertise in machine learning, statistical modeling, and predictive analytics. Excellent communication and stakeholder management skills. Desirable: Experience working with large-scale retail datasets (e.g., POS, CRM, supply chain). More ❯

optimisation in pricing strategies, significantly influencing our product insights and commercial decision-making. You’ll leverage your expertise in advanced analytics, machine learning, and statistical modelling to derive actionable insights from complex datasets. Key Responsibilities: Analyse large online datasets to uncover valuable insights into consumer behaviour, price elasticity … Proficiency in SQL, Python, and data science libraries such as sklearn, XGBoost, and CatBoost. Experience with Azure, MLOps, and API frameworks. Strong understanding of statistical methods, probability theory, pricing optimisation, and elasticity modelling. Expertise with data visualisation tools (e.g., Tableau). Exceptional analytical and creative problem-solving skills, with More ❯

or areas for improvement Grow the impact of Data Science across the Group, increase the number of deployed solutions, identify previously unexplored areas of modelling or analysis Role model best practice, with focuses on efficiency and long term success Monitor the latest techniques and solutions being utilised in the … standards/regulations at all times. Any other reasonable duties Experience & knowledge Extensive hands-on experience applying data science techniques to general insurance predictive modelling problems Strong track record of stakeholder management, modelling projects and successful deployment Deep understanding and familiarity with a variety of statistical models … able to recruit and develop a strong team Good communication skills, both verbal and written Good time management and organisation skills Proven analytical and statistical modelling skills Degree in Data Science or other quantitative field Behaviours Self-motivated and enthusiastic with the desire to meet or exceed targets More ❯

or areas for improvement Grow the impact of Data Science across the Group, increase the number of deployed solutions, identify previously unexplored areas of modelling or analysis Role model best practice, with focuses on efficiency and long term success Monitor the latest techniques and solutions being utilised in the … standards/regulations at all times. Any other reasonable duties Experience & knowledge Extensive hands-on experience applying data science techniques to general insurance predictive modelling problems Strong track record of stakeholder management, modelling projects and successful deployment Deep understanding and familiarity with a variety of statistical models … able to recruit and develop a strong team Good communication skills, both verbal and written Good time management and organisation skills Proven analytical and statistical modelling skills Degree in Data Science or other quantitative field Behaviours Self-motivated and enthusiastic with the desire to meet or exceed targets More ❯

frameworks such as TensorFlow, PyTorch, and scikit-learn Proven track record of developing predictive models for financial applications Deep understanding of machine learning algorithms, statistical modeling, and data processing techniques Experience with cloud computing platforms (AWS, GCP, Azure) Excellent understanding of distributed computing and big data technologies Technical Skills More ❯

design. Key Responsibilities Develop and implement machine learning models for analyzing complex biological and genomic datasets. Apply deep learning, natural language processing (NLP), and statistical modeling techniques to solve key challenges in drug discovery and development. Work closely with computational biologists, bioinformaticians, and wet-lab scientists to integrate AI More ❯

or equivalent and advanced degree. Strong knowledge of statistics, machine learning, forecasting, NLP, computer vision, optimisation. Python programmer with experience building data pipelines and statistical/machine learning models. Additional languages preferred, particularly HTML+CSS+JavaScript, or low-level compiled languages such as C/C++. Proficiency in SQL. Ability to More ❯

AI, Data Science and Analytics, with a proven track record of successfully delivered work across the ML lifecycle with a strong foundation in applying statistical modelling, natural language processing, time-series analysis, spatial analysis, and mathematical modelling methodologies. Keen to demonstrate the potential that Gen AI has More ❯

or related field. Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch). Experience with bioinformatics tools (e.g., Biopython, RDKit). Strong knowledge of statistical models, deep learning, and data preprocessing. Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker). Strong problem-solving and communication skills. Desirable More ❯

or quantitative research, ideally within a trading or investment environment. Strong programming proficiency in Python, R, MATLAB, or similar languages, with demonstrated experience in statistical analysis and model development. Familiarity with risk metrics and methodologies including Value at Risk (VaR), Conditional VaR, and volatility estimation. Experience with stress-testing More ❯

large image datasets Knowledge of modern data warehousing and data lake technologies Practical experience with Python, R, and ML frameworks (PyTorch and Tensorflow) and statistical methods Linux system administration AWS and GCP administration Experience with GPU cluster and Linux server administration Desirable PhD in medical image analysis Working knowledge … of the DICOM standard, volume reconstruction, 3D rendering techniques, statistical modelling Experience with AI model training pipelines and architectures (transformers, diffusion models etc) Understanding of fundamental statistical concepts (p-values, effect sizes and confidence intervals) Experience with MLOps methodologies Experience with version control (e.g. GitLab, DVC) Experience More ❯

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 and as More ❯

We’re Looking For 3–4+ years' experience in data analysis, preferably with exposure to health or social care environments. Proven ability to conduct statistical modelling, indicator development and create powerful visualisations. Experience handling large, complex datasets (structured and unstructured) using tools like Power BI, SQL, R, Python More ❯