1 to 25 of 51 Statistical Modelling Jobs in the UK excluding London

Senior Data Scientist - Python/Machine Learning Permanent Location: UK - Remote Salary: £65,000 - £70,000 (+ benefits) Skills: Python, Machine Learning, Statistical Modelling, AWS, Data Engineering An exciting opportunity has arisen for an experienced Senior Data Scientist to join a growing international technology business developing innovative … powered software solutions. Working within a specialist Data & AI team, you'll combine advanced statistical modelling with hands-on Python software engineering, helping to develop, improve and maintain production systems used by customers worldwide. This is not a traditional reporting or analytics-focused Data Scientist position. ...

solutions Shape analytics roadmaps and prioritise initiatives based on commercial impact Deliver hands-on advanced analytics using SQL, Python or R, Power BI and statistical modelling techniques Drive best practice across analytics, experimentation, forecasting, segmentation and measurement Collaborate with data engineering and technology teams to improve data infrastructure … skills and advanced capability in Python or R Experience building and scaling analytical products, dashboards, measurement frameworks or insight solutions Strong understanding of data modelling, analytical engineering, ETL processes and data quality principles Experience applying forecasting, experimentation, segmentation, statistical modelling or machine learning techniques Proven ability ...

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 ...

their work and close exposure to senior stakeholders. The role Own defined data science use cases from start to finish: problem framing, exploratory analysis, modelling, validation, implementation and monitoring Apply statistical modelling, machine learning and AI techniques to operational challenges using Python and SQL Build and evaluate … governance and responsible AI, with reproducible work and a clear audit trail What you’ll need Professional experience in a data science role, applying statistical or machine learning techniques to real business problems (up to around two years’ experience) Hands-on experience building data science solutions in Python ...

based in central London. The successful candidate will be responsible for interpreting, analysing and manipulating large and complex datasets, developing quantitative models and using statistical techniques to identify trends, patterns and opportunities. Working closely with analysts, developers and other technical specialists, you will have the opportunity to contribute … part of a team. Key Responsibilities Analyse and interpret large, complex datasets to identify trends and insights. Develop and enhance quantitative, mathematical and statistical models. Apply probability and statistical techniques to real-world problems. Develop, test and validate analytical models and methodologies. Use programming languages to analyse data ...

data science, advanced analytics, or related disciplines. Experience developing machine learning models and deploying analytical solutions into production environments. Strong knowledge of Python and statistical modelling techniques. Experience working with Snowflake or similar cloud-based data warehouse technologies. Understanding of data modelling principles, including dimensional and star ...

enabled automation Prompt engineering, AI evaluation and Responsible AI AI orchestration frameworks e.g. LangChain, Semantic Kernel, Model Context Protocol (MCP) Data engineering, pipelines, modelling and governance Advanced analytics, machine learning and statistical modelling Data visualisation and insight solutions Candidates should understand the importance of trusted, accessible ...

learn from experienced professionals. You will work with a variety of datasets, explore new ways of solving problems and contribute to the development of statistical models and analytical solutions. You'll also collaborate with colleagues across different teams, gaining exposure to a range of projects and seeing how data … tangible difference to business outcomes. Key Responsibilities Analyse data to identify trends, patterns and opportunities for improvement. Support the development, testing and maintenance of statistical models and predictive solutions. Apply analytical and data science techniques to solve practical business problems. Explore new and existing data sources to generate useful ...

quantitative skills to some of the biggest healthcare problems of the day. We use a wide variety of techniques within the operational research, mathematical modelling, statistical analysis, data science and machine learning toolkits, often working at the interface of academic research and practical application. No problem … managing others, and experience within the NHS or wider health field is not required. Of most importance is a good grasp of applied modelling approaches underpinned by degree-level qualification(s) in a quantitative discipline. Experience of coding in statistical languages, especially in 'R', is strongly desirable. ...

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 ...

lifecycle management. Your Skills & Experience Strong commercial experience as a Data Scientist within a data-rich environment. Advanced Python and SQL skills for analysis, modelling, and data manipulation. Hands-on experience developing and deploying machine learning models. Strong understanding of predictive analytics and statistical modelling techniques. Experience ...

large, complex or fast‐moving datasets. Support applied research and prototype development for AI & Machine Learning solutions. Assist with building and validating predictive, statistical or machine‐learning models. Contribute to data engineering workflows, including data preparation and pipeline optimisation. Support Machine Learning Operation practices such as model deployment, monitoring ...

delivery tools. Experience across the data science lifecycle, including model development, deployment, monitoring and maintenance. Predictive or prescriptive analysis experience, including predictive modelling, machine learning or data mining. Ability to identify applications of machine learning to business problems and communicate findings clearly. Experience with cloud deployment, commercial development … contexts and a variety of internal and third-party data, in both large and small datasets. You will contribute to solutions using machine learning, statistical modelling and other relevant techniques, taking an iterative approach to delivering value and developing work from an initial solution towards a more complete ...

delivery tools. Experience across the data science lifecycle, including model development, deployment, monitoring and maintenance. Predictive or prescriptive analysis experience, including predictive modelling, machine learning or data mining. Ability to identify applications of machine learning to business problems and communicate findings clearly. Experience with cloud deployment, commercial development … contexts and a variety of internal and third-party data, in both large and small datasets. You will contribute to solutions using machine learning, statistical modelling and other relevant techniques, taking an iterative approach to delivering value and developing work from an initial solution towards a more complete ...

foundation models. Experience with AI frameworks and libraries: PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers; OpenCV for vision applications. Strong understanding of experimental design, statistical evaluation, benchmarking and model validation. Experiment tracking and reproducibility tools, for example MLflow, Weights & Biases or equivalent. Data wrangling and analysis using Pandas, NumPy ...

tools such as Pipeline Pilot, KNIME Skills Artificial Intelligence (AI), Computational Sciences, Computer Programming, Data Analysis, Data Management, Data Modeling, Data Science, Predictive Modeling, Statistical Models Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose ...

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 ...

fraud analytics, fraud prevention, or financial crime * Hands-on experience developing machine learning models using Python * Strong SQL and data analysis capabilities * Knowledge of statistical modelling and predictive analytics techniques * Excellent communication skills with the ability to influence stakeholders * Experience within fintech, lending, or financial services would ...

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 ...

support. What you'll be doing Build and maintain data pipelines that collect, clean and transform customer and internal data Develop data analysis and statistical models using R Build, test and maintain machine learning and predictive models Develop and deploy R-based applications and data workflows within AWS Work … with more experienced members of the team. We're particularly interested in people who demonstrate: Strong analytical and problem-solving skills Good mathematical and statistical ability Excellent attention to detail A passion for data science, software development and well-engineered data systems Strong written and verbal communication A willingness ...

capability. Experience required: Strong experience delivering enterprise-scale Power BI solutions. Advanced SQL and/or Python skills. Experience with forecasting, predictive analytics or statistical modelling. Strong stakeholder engagement and requirements gathering experience. Knowledge of Azure data services, DevOps practices or modern Microsoft data platforms would be advantageous. Previous ...

capability. Experience required: Strong experience delivering enterprise-scale Power BI solutions. Advanced SQL and/or Python skills. Experience with forecasting, predictive analytics or statistical modelling. Strong stakeholder engagement and requirements gathering experience. Knowledge of Azure data services, DevOps practices or modern Microsoft data platforms would be advantageous. Previous ...

capability. Experience required: Strong experience delivering enterprise-scale Power BI solutions. Advanced SQL and/or Python skills. Experience with forecasting, predictive analytics or statistical modelling. Strong stakeholder engagement and requirements gathering experience. Knowledge of Azure data services, DevOps practices or modern Microsoft data platforms would be advantageous. Previous ...

Scientist will design, develop and deploy BI, advanced analytics, ML models and AI driven solutions. This is a hands-on, outcome-focused role combining statistical, data science and analytical expertise with strong commercial curiosity. The Data Scientist will own selected use cases across the full lifecycle—from problem definition … governance standards and help shape how data science and AI are adopted across the Group. Key Responsibilities: Translate business challenges into BI, analytical, statistical and Machine Learning solutions. Identify patterns, trends and opportunities within complex datasets to support strategic and operational decision making. Develop, validate and deploy predictive models ...

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 ...