25 of 25 Statistical Modelling Jobs in the South East

PySpark | Azure | Databricks | Machine Learning | Statistics | Time Series Forecasting | Propensity Models Role: Senior Data Scientist, Lead Data Scientist, ML Scientist, AI Data Scientist, Statistical Data Scientist, Predictive Analytics Key Skills: Senior Data Scientist, Data Scientist, Machine Learning, Artificial Intelligence, Predictive Analytics, Statistical Modelling, Python, SQL, PySpark, Azure … Databricks, MLflow, GitHub Actions, CI/CD, Time Series Forecasting, Propensity Modelling, Feature Engineering, Data Engineering, Azure Machine Learning, Azure Data Platform, Experiment Design, A/B Testing, Hypothesis Testing, Predictive Modelling, Customer Analytics, Marketing Analytics, Customer Lifetime Value, Churn Prediction, Demand Forecasting, Stock Forecasting, Production Machine Learning ...

machine learning models and scalable ML pipelines. Build and maintain machine learning infrastructure, ensuring strong governance, version control, and model lifecycle management. Apply advanced statistical modelling and experimentation techniques to solve complex business and marketing challenges. Partner with technical and non-technical stakeholders to translate data requirements into … approaches. Your Skills & Experience Strong experience in data science, machine learning, artificial intelligence, and advanced analytics. Expertise in Python and SQL for data analysis, modelling, and production-grade solutions. Experience designing, deploying, and maintaining machine learning models in cloud environments. Strong knowledge of Google Cloud Platform, with exposure ...

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 ...

exciting opportunity for a Junior Data Science Manager to work at the intersection of data science and marketing effectiveness. You will use advanced modelling techniques to influence real business decisions, while continuing to develop both your technical expertise and your ability to communicate complex insights clearly. The Company They … analysis and innovation. They are committed to developing talent and fostering a collaborative, learning-focused environment. The Role Support the delivery of marketing mix modelling projects, owning key components such as data preparation, model execution, and scenario analysis Apply statistical and analytical techniques to solve business problems across ...

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 to support the development of innovative solutions for their customers. The Role and Deliverables Design, develop, implement, and maintain pricing optimisation and modelling algorithms. Build predictive models focused on customer behaviour, demand forecasting, and price elasticity. Develop data-driven pricing strategies and recommendations for customers. Partner with … optimisation models into production environments and continuously improve performance based on real-world outcomes. Support customer experimentation through A/B testing and scenario modelling, while communicating insights to stakeholders in a clear and actionable way. Your Skills & Experience Strong experience designing and implementing large-scale pricing optimisation systems. ...

Managers, Engineers and Designers to solve customer and business challenges.·Analyse customer and operational data to identify opportunities, trends and areas for improvement.·Apply statistical thinking, experimentation and hypothesis testing to validate ideas and measure success.·Build analytical solutions using SQL and Python to support product development and commercial … ideally within a product-led, marketplace or e-commerce environment.·Strong SQL skills with experience querying complex datasets and a good understanding of data modelling principles.·Commercial experience using Python for data analysis, statistical modelling and rapid prototyping.·Experience applying experimentation techniques, including hypothesis testing ...

Managers, Engineers and Designers to solve customer and business challenges. Analyse customer and operational data to identify opportunities, trends and areas for improvement. Apply statistical thinking, experimentation and hypothesis testing to validate ideas and measure success. Build analytical solutions using SQL and Python to support product development and commercial … ideally within a product-led, marketplace or e-commerce environment. Strong SQL skills with experience querying complex datasets and a good understanding of data modelling principles. Commercial experience using Python for data analysis, statistical modelling and rapid prototyping. Experience applying experimentation techniques, including hypothesis testing ...

Monitor model performance using real-world outcomes and continuously refine solutions to improve effectiveness. Enable customers to conduct A/B testing and scenario modelling, providing clear recommendations based on data-driven insights. Your Skills & Experience Strong experience designing and implementing large-scale pricing optimisation solutions. Advanced programming skills … Python and/or R. Strong capabilities in data manipulation, statistical modelling, and analytical problem solving. Experience applying machine learning frameworks and optimisation techniques to commercial challenges. Strong understanding of pricing strategy, demand modelling, elasticity analysis, and time series forecasting. Ability to communicate complex technical concepts ...

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 ...

Analytics, or a related quantitative field. Experience within financial services, lending, insurance, or a similarly regulated environment. Strong Python and SQL skills. Knowledge of statistical modelling and machine learning techniques. Ability to communicate analytical findings clearly to both technical and non-technical stakeholders. BENEFITS The successful Data Scientist ...

commerce.Demonstrated experience in a hands-on data role, ideally in e-commerce, marketplace, or product-led tech.Strong SQL and working Python or R for statistical modelling, analysis and lightweight prototyping.Comfort with the modern data stack - a cloud warehouse (BigQuery or equivalent) and dashboard design principlesSolid grasp of statistics ...

Experience with tools development, automation (CI/CD, Auto Deployment, System Availability, etc.), logging and monitoring. \n Experience with large scale data analytics and statistical modelling. \n Strong analytical, problem solving and communication skills. \n\n \n Visa is an EEO Employer \n Qualified applicants will receive consideration ...

largest lenders and financial services organisations. Working directly with clients, you'll build credit scorecards, develop lending strategies and create statistical models using Credit Reference Agency (CRA) data to help businesses make better lending decisions. This is a highly commercial, client-facing position where you'll own analytical projects … senior stakeholders while balancing technical excellence with commercial impact. You'll be responsible for: Developing acquisition and behavioural credit scorecards using CRA data Building statistical and machine learning models including logistic and linear regression Designing and implementing credit strategies for new and existing customer portfolios Analysing large datasets using ...

exciting opportunity for an experienced engineer to work on challenging perception and intelligence problems, applying techniques across AI, computer vision, image processing, and statistical modelling. You will play a key role in developing algorithms that enable systems to better detect, interpret, and respond to their environment. The successful candidate … work, successful applicants will be required to obtain UK Security Clearance. Desirable Experience Experience with any of the following would be beneficial: Statistical modelling, Bayesian methods, uncertainty estimation, or probabilistic techniques. Synthetic data generation, multi-modal AI, or action recognition. Machine learning development tools, experiment tracking, dataset management ...

Director, the post holder will work within Oxford Population Health and the Big Data Institute, at the intersection of computational genomics, statistical modelling, and AI. The programme leverages large-scale resources, including UK Biobank and other international cohort studies, to develop biologically grounded AI systems linking genetic variation … will also involve mentoring junior researchers within the group.Applicants should hold, or be close to completing, a PhD/DPhil in bioinformatics, computational biology, statistical genetics, or a related field, with strong quantitative and computational skills. Experience applying AI or machine learning to large-scale biomedical datasets, along with ...

Responsibilities Model Development (Azure Machine Learning Studio focus) Work collaboratively with actuarial and analytics teams to design, build, and deploy machine learning and statistical models using Azure Machine Learning Studio (AML Studio) in production environments. Apply appropriate ML techniques to improve predictions such as longevity, default risk, and investment …/CD practices and DevOps/MLOps principles integrated with Azure Machine Learning Studio environments. Cross-functional Collaboration Work closely with actuarial analysts and modelling teams to translate outputs from Azure ML Studio into actionable insights and business recommendations. Innovation and Continuous Improvement Stay up to date with developments ...

function of Quantitative Sciences & Clinical Pharmacology. SDS comprises of Cardiopulmonary, Oncology, Immunology, Neuroscience, Medical Affairs, Post Approval Lifecycle Management, Discovery & Manufacturing Statistics, Statistical Modeling & Methodology & Consulting and Strategic Business & Computing Operations.The SBCO organization applies deep understanding of drug development, statistics, scientific computing, business operations, and enabling technologies to deliver … Computing Operations (SCO), and the SDS Centralized Administrative Network (SCAN).Position SummaryThe Senior Scientist, Scientific Computing provides technical and scientific computing support to advance statistical and strategic innovation, automation, and reproducibility across Statistics & Decision Sciences (SDS). The role helps ensure that platforms, tools, and data practices are robust ...

highly talented team within the sports trading industry in central London. You will work with large and complex datasets, developing quantitative models and using statistical analysis to identify patterns, trends and opportunities within sports data. Working closely with experienced analysts, developers and trading teams, you will play an important … their career within a fast-paced sports trading environment. Key Responsibilities Analyse and interpret large and complex sports datasets. Develop and improve mathematical and statistical models. Apply probability and statistical techniques to sports data. Identify patterns, trends and opportunities within large datasets. Work closely with analysts, developers ...

advanced analytics and machine learning applications.Analyse complex datasets to uncover trends, patterns, and actionable insights that drive business or operational outcomes.Build, prototype, and evaluate statistical and machine learning models to solve real-world problems, testing feasibility and estimating impact before full deployment.Engineer and implement ML-based solutions, owning … integration, and ongoing monitoring.You are proficient in Python and its data/ML ecosystem (e.g. pandas, scikit-learn, PyTorch, TensorFlow), and you can apply statistical and machine learning techniques confidently in real-world settings.You have deployed models into live systems and understand how to make ML operational – whether that ...

Make your mark for patientsWe are looking for a Principal Statistical Methodologist who is curious, collaborative, and strategic to join our Statistical Innovation team within Biometric and Data Sciences (BDS), based in Slough (UK).About the roleYou will help shape how evidence is generated and communicated across … drug development lifecycle—from early clinical development to regulatory approval and lifecycle work. You will provide expert statistical consultation on trial design and analysis, develop and apply advanced methods, and translate complex quantitative concepts into clear insights for cross-functional partners. You will also contribute to scientific communications ...

Data Scientist to translate organizational challenges into scalable, high-impact analytical solutions. In this role, you will act as a subject matter expert-developing statistical models, optimizing data pipelines, establishing evaluation metrics, and delivering actionable insights that directly influence product retention, churn, and overall growth. Key Responsibilities Insight & Modeling … What We're Looking For Experience: 5+ years of relevant data science experience, with strong proficiency in Python . Core Competencies: Deep understanding of statistical concepts, data intuition, and problem framing. Visualization: Demonstrated experience building data dashboards and automated reporting tools. Leadership & Communication: Exceptional active listening and stakeholder management ...

Producing clear, audit-ready model documentation for governance approval. Providing expert input into implementation, testing, and monitoring frameworks. Sharing best practises and helping uplift modelling capabilities across the team. Key Skills (Essential): To excel in this role, you should possess: Python Expertise: Strong experience in model development, feature engineering … statistical modelling. SQL Proficiency: Confident in extracting and transforming large datasets effectively. Credit-Risk Modelling Experience: Proven track record in building application scorecards, PD models, and behavioural/in-life models. Bureau Knowledge: Deep familiarity with TransUnion and Equifax data structures and modelling considerations. Analytical Capability: Ability ...