101 to 125 of 160 Statistical Modelling Jobs in the UK excluding London

Active SC required Up to £60k DoE + 6% pension, 30 days leave Experience required in Python, SQL, Power BI/Tableau, Data Visualisation, Statistical Analysis Role Opportunity Join a growing public sector technology consultancy delivering digital, data and technology transformation across central government. You'll take on complex … hands-on analytical challenges, using data to generate actionable insights and support better decision-making across public services. Key Responsibilities: Conduct advanced data analysis, statistical analysis and modelling to generate actionable insights Develop BI dashboards and data visualisations using tools such as Power BI, Tableau or similar Cleanse ...

opportunity for someone who enjoys solving business problems as much as building models. The Role You will: Build, validate and deploy machine learning and statistical models Work with Python, SQL, Databricks and PySpark to analyse large datasets Solve pricing and risk-related business challenges Explore new data sources … experience Advanced Python and SQL skills Experience with Databricks and/or PySpark Knowledge of machine learning techniques such as XGBoost and LightGBM Strong statistical modelling capability Excellent problem-solving and stakeholder management skills Experience in insurance, financial services, or another regulated environment is advantageous ...

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 ...

fork to build predictive models, optimise processes, and convert raw data into actionable enterprise value. You will combine mathematical rigour, software development, and statistical storytelling to solve business problems, drive performance, and support strategic decision-making. Accountabilities Customer Build trusted relationships with internal stakeholders to understand operational context … business priorities. Solve complex business problems using applied mathematics, machine learning, and statistical modelling. Own data science deliverables over the full life of data products, providing clear updates and presenting complex statistical outputs in accessible formats. Where required, develop agile proofs-of-concept (POCs) to showcase potential solutions ...

role is likely to suit someone with experience in risk management, governance, compliance, operational risk, controls, management information or reporting environments, rather than purely statistical, modelling or actuarial-focused roles. We're particularly interested in hearing from candidates who have: * Knowledge of risk management principles and frameworks* Experience ...

seeking a Research & Development Data Scientist to design and build state-of-the-art statistical and ML models for England teams. You will translate complex outputs into actionable insights for a wide range of stakeholders and embed data-driven decisions across football operations. You will work across data science ...

/CD pipelines. Experience with version control (Git) and collaborative development environments. Experience architecting and maintaining large-scale ML systems Strong understanding of statistical modeling, deep learning, and optimization techniques Technical Skills Expertise in deep learning frameworks (TensorFlow, PyTorch). Proficiency in Agentic Design Patterns (ReAct, Chain-of-Thought ...

Data Scientist turns complex and often loosely defined business questions into clear, actionable insight. The role leads high-value analytical work using Python, SQL, statistical methods and appropriate machine-learning techniques to explain what is happening, understand why it is happening and assess what may happen next. The jobholder … person we are looking for Curious, commercially minded and highly analytical. The successful person will be equally comfortable working in Python, SQL and statistical models, sitting with a senior stakeholder to clarify an uncertain question, and stepping back to explain the so what? in plain language. Most importantly, they ...

code in your current role In-depth knowledge of at least one omics technology A track record of developing new computational methods Experience applying statistical modelling or machine-learning methods to complex biological datasets Proven ability to set computational strategy and manage projects independently Experience developing the technical ...

varied range of complex questions, using data to identify trends, differences and potential future trends and outcomes. You'll use a range of statistical techniques to investigate complex datasets and answer challenging research questions. This could include building models to understand and predict outcomes, applying Bayesian methods, testing statistical … contributor, taking unclear questions, determining the appropriate data and analytical approach, and communicating findings clearly to non-technical stakeholders. Key skills: ** Strong quantitative and statistical analysis experience ** Bayesian modelling and statistical validation ** Python or R ** Predictive modelling, forecasting and segmentation ** Experience working with large, complex datasets ...

public sector, industry or academia. You should have hands-on experience using Python or equivalent tools and a solid understanding of areas such as statistical modelling, supervised and unsupervised learning, deep learning, transformers, Generative AI or Agentic AI. Experience across areas such as PyTorch, TensorFlow, scikit-learn, Hugging ...

team. Working alongside some of the market’s top thought leaders on multiple and varied client projects, you’ll: Use actuarial and statistical modelling techniques to analyse data and produce insightful results for clients Present your analysis both internally and to clients Collaborate with colleagues ...

team. Working alongside some of the market’s top thought leaders on multiple and varied client projects, you’ll: Use actuarial and statistical modelling techniques to analyse data and produce insightful results for clients Present your analysis both internally and to clients Collaborate with colleagues ...

/CD pipelines. Experience with frontend technologies, including React and Next.js, and JavaScript. Familiarity with data science and analytics techniques, including machine learning and statistical modelling. Experience with database management systems, including relational and NoSQL databases. Experience with Dash or other UI frameworks is a nice to have. What ...

data lakes and modern data platforms such as Microsoft Fabric. Produce curated data models for analytical tools including Power BI. Support the development of statistical and predictive data models, including machine learning use cases where relevant. Maintain and enhance the organisation's data and analytics platform to ensure performance … related discipline, or equivalent relevant experience. Strong experience with programming and query languages such as SQL, Python, R, Scala or Hive. Experience using data modelling, ETL/ELT and visualisation technologies such as Power BI, DAX, Synapse and Microsoft Fabric. Proven experience in a Data Engineer or similar role ...

MoneyView, Children and Young People Financial Wellbeing survey) and external datasets (e.g., Financial Lives, Wealth & Assets Survey, Understanding Society). Applying expert knowledge in statistical and data-modelling techniques to support strategic decisions and policy making. Collaborating effectively with both internal and external stakeholders. Work cross-functionally with … successful in this role, you’ll need: Strong knowledge of quantitative research methods and experience in interpreting and analysing survey data. Proficiency in statistical and data-modelling tools and techniques, such as survey sampling, weighting, imputation, regression analysis, and more. Excellent analytical and problem-solving skills. Ability ...

similar Advanced knowledge & skills on Failure Analysis techniques (FIB, SEM, X‐ray) Proficient understanding of semiconductor devices, process flows and manufacturing Advanced level in statistical methods, modelling, and database management Experience in creating analysis reports, dashboards, and data visualisation (Excel, PowerBI) Excellent communication skills, able to present ...

Barclays is seeking a Financial Crime Data Analyst based in Glasgow to design, develop and maintain statistical and ML models for decision support in financial crime domains. You will collect and clean data from multiple sources and ensure high data quality for robust model development. You will monitor model ...

data and data science. We address a broad spectrum of reliability problems where data-driven approaches can be applied, combining subject matter expertise with statistical, predictive, and generative AI/ML methods to improve reliability in ways that truly matter to our client's users and customers. In this … role, you will design statistical and machine learning tools, influencing engineering priorities and roadmaps in key areas like software rollouts and change management. You will have a direct impact on our Platform reliability, gaining deep knowledge of relevant engineering infrastructure and data assets to solve complex issues. Behind everything ...

partner with Product and Engineering, and translate complex analyses into practical actions that drive customer and business outcomes. You will leverage experimentation, causal inference, statistical modelling and ML to shape product strategy, while building credibility with senior leaders and guiding teams across the data ecosystem. #J-18808-Ljbffr ...

Reigate. You will own complex pricing models, drive improvements and apply cutting-edge analytics at scale with autonomy and influence. The role requires strong statistical modelling experience (GLMs/GBMs), governance awareness and excellent communication with senior stakeholders. WTW Radar/Emblem knowledge and Databricks, SQL or Python ...

with strategic data direction and partner with senior stakeholders to place data at the heart of decision making. You will guide experimentation, causal inference, statistical modeling and ML efforts, ensuring rigor and translating insights into product and customer impact. #J-18808-Ljbffr ...

data and data science. We address a broad spectrum of reliability problems where data-driven approaches can be applied, combining subject matter expertise with statistical, predictive, and generative AI/ML methods to improve reliability in ways that truly matter to our client's users and customers. In this … role, you will design statistical and machine learning tools, influencing engineering priorities and roadmaps in key areas like software rollouts and change management. You will have a direct impact on our Platform reliability, gaining deep knowledge of relevant engineering infrastructure and data assets to solve complex issues. Behind everything ...

cost drivers to identify trends, risks and opportunities. Develop repeatable frameworks for measuring business impact and value creation. Apply advanced analytics, forecasting and predictive modelling techniques to optimise performance. Evaluate the effectiveness of business initiatives using robust statistical methods. Translate complex data into clear, actionable recommendations for senior … analytical experience. Strong commercial and analytical problem-solving skills. Proficiency in SQL, Python, SAS, R, or similar analytical programming languages. Experience building and applying statistical models/AI to solve business problems. Advanced Excel and PowerPoint capabilities. Excellent stakeholder management and communication skills. Experience leading complex analytical projects involving ...

visualise data to identify patterns, trends and opportunities. Develop data science outputs such as models, reports, dashboards, forecasts or decision-support tools. Apply appropriate statistical, machine learning or analytical techniques to solve business or user problems. Work with data engineers, analysts, developers and product teams to deliver usable data … clearly and responsibly. Consider data ethics, privacy and security throughout the data science life cycle. Essential skills and experience Experience applying data science or statistical methods to real-world problems. Good knowledge of Python, R or similar programming languages for analysis and modelling. Understanding of machine learning, statistical ...