26 to 50 of 97 Statistical Modelling Jobs in the UK excluding London

Key Skills & Experience Proven Expertise: At least 5 years of hands-on experience in AI, Data Science, and Analytics, particularly in the full machine learning lifecycle. Solid expertise in statistical modelling and natural language processing is essential. Team Lead/Management experience Gen AI Passion: A true enthusiast for Generative AI with a keen interest in demonstrating how More ❯

roles within the fields of 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 to offer to unlock business More ❯

and 3rd party panels to test fast-evolving hypotheses. Design and automate reporting processes , bringing visibility to crucial metrics and freeing teams to act on what matters most. Build statistical models and algorithms to detect patterns and opportunities for optimisation. Create compelling data visualisations using Grafana and Power BI to track performance in real time. Communicate complex analytical findings … across the business. YOUR SKILLS AND EXPERIENCE: The ideal Senior Data Analyst will have: Proficiency in Python or R , with hands-on experience building analytical models. Strong knowledge of statistical techniques , from regressions to machine learning algorithms. Excellent SQL and data manipulation skills , with experience working on large, complex datasets. Familiarity with cloud data platforms such as AWS, Azure More ❯

in acquiring vendor data and develop arguments. Design experiments and multivariate testing for AI evaluation. Assess machine learning solutions for feasibility and operationalize successful prototypes with Data Engineers. Use statistical techniques to optimise business performance. Deliver data science projects that drive business benefits and competitive advantage. Conduct ad-hoc analysis to predict, measure, and interpret business trends. Mentor data … years as a Data Scientist in commercial or R&D environments. PhD or MSc or equivalent experience in a relevant field (Machine Learning, Computer Science, Statistics). Experience applying statistical and machine learning models to real-world problems with measurable results. Strong Python toolkit proficiency for Data Science, with experience in SQL and NoSQL databases. Project management experience with More ❯

BASIC QUALIFICATIONS - PhD, or a Master's degree and 5+ experience applying theoretical models in an applied environment - Experience in solving business problems through machine learning, data mining and statistical algorithms - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - 5+ years experience in commercial OR … abilities, excellent written and verbal communication skills - Ability to handle ambiguity and fast-paced environment PREFERRED QUALIFICATIONS - Experience in professional software development - Reinforcement Learning - Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance - Experience diving into data to discover hidden patterns and of conducting error/deviation analysis - Familiarity with More ❯

meet tight deadlines. Background in interpret coding multiple forms of data and creating honest and compelling stories about the progress and impact of investments. Experienced in analytical programming and statistical modeling. Dedicated to challenging the status quo in school quality data analytics. Proficiency in SQL and Excel; knowledge of Python, Stata, R, PowerShell, AWS, Linux, HTML. Familiarity with K More ❯

This is a hands-on analytical role combining customer analytics, data science, and strategic insight. You’ll take ownership across a blend of traditional customer analytics and more advanced statistical modelling projects, supporting fast feedback loops across marketing performance, churn, forecasting, and member engagement. The role offers scope to grow into either a strong individual contributor role or … Responsibilities Analyse customer behaviour across the platform to support commercial growth and marketing optimisation. Deliver pre- and post-campaign analysis, segmentation work, and ongoing performance tracking. Build and deploy statistical models such as linear regression, clustering, forecasting, and advanced A/B tests. Work closely with ML Engineers, commercial teams, and senior stakeholders to translate insight into business action. … both technical and non-technical stakeholders across the business. Skills & Experience Essential: Strong experience in customer analytics, data science, or advanced analytical modelling. Hands-on experience using Python for statistical analysis and modelling. Advanced SQL skills for data extraction and manipulation. Experience applying statistical methods such as linear regression, KMM, forecasting models, and experimentation. Strong communication skills with More ❯

science methods for measuring the quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise data scientists on best tools and approaches to support organisational commitments. Manage competing demands for Data Science work within the Data More ❯

and results for nontechnical audiences and to persuade senior business stakeholders of the significance of these results for decision making. Theoretical and applied knowledge of a broad range of statistical modelling and ML techniques focused around NLP - blending traditional NLU techniques with GenAI A good working knowledge of the latest NLP and LLM techniques Experience with conversational AI More ❯

a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/mathematical models, predict and segment data to hypothesize/evolve uses cases to monetize data and generate other business More ❯

a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/mathematical models, predict and segment data to hypothesize/evolve uses cases to monetize data and generate other business More ❯

Job Opportunity: Risk Engineer in Catastrophe Modelling Location: Central Bristol, UK (Hybrid working) Contract Type: Permanent Are you passionate about mitigating cyber risks and excited about the innovative world of catastrophe modelling? Our client, a leading organisation in the cyber reinsurance sector, is on the lookout for a talented Risk Engineer specialising in Catastrophe Modelling to join … their dynamic modelling team in Bristol. Why Join Us? Cutting-edge Technology: Work with state-of-the-art tools and technologies that drive the future of cyber risk analytics. Career Development: Enjoy opportunities for growth in a collaborative and inclusive environment. Great Benefits: Competitive salary, 5% pension, 28 days holiday plus bank holidays, private medical insurance, and a death … Collaboration: Work with diverse teams to integrate new data sources and methodologies into our proprietary cyber risk estimation system, Cybertooth. Research Contribution: Engage in ongoing research within cyber catastrophe modelling, providing robust frameworks to evaluate new hypotheses against established baselines. Stay Updated: Keep abreast of the latest developments in cyber risk measurement, data science, and high-performance computing to More ❯

Job Opportunity: Risk Engineer in Catastrophe Modelling Location: Central Bristol, UK (Hybrid working) Contract Type: Permanent Are you passionate about mitigating cyber risks and excited about the innovative world of catastrophe modelling? Our client, a leading organisation in the cyber reinsurance sector, is on the lookout for a talented Risk Engineer specialising in Catastrophe Modelling to join … their dynamic modelling team in Bristol. Why Join Us? Cutting-edge Technology: Work with state-of-the-art tools and technologies that drive the future of cyber risk analytics. Career Development: Enjoy opportunities for growth in a collaborative and inclusive environment. Great Benefits: Competitive salary, 5% pension, 28 days holiday plus bank holidays, private medical insurance, and a death … Collaboration: Work with diverse teams to integrate new data sources and methodologies into our proprietary cyber risk estimation system, Cybertooth. Research Contribution: Engage in ongoing research within cyber catastrophe modelling, providing robust frameworks to evaluate new hypotheses against established baselines. Stay Updated: Keep abreast of the latest developments in cyber risk measurement, data science, and high-performance computing to More ❯

include: Leading the development + delivery of Data Analytics solutions that support strategic decision-making for clients. Managing data solutions projects, including: data strategy, data sourcing, data wrangling, data modelling, data visualisation + data dashboards. Must have strong Data Analytics experience including: SQL and data visualisation tools (PowerBI, Tableau or Looker). Building interactive data dashboards and reports using … Power BI or Tableau. Extracting, cleansing and modelling data from multiple sources to develop clear data insights. Statistical analysis or predictive modelling experience preferred. Working with key stakeholders to scope data requirements + define data solutions. Driving continuous improvement in data analytics processes + data governance policies. Mentoring junior data analysts, data governance + establishing best practices More ❯

keeping abreast of upcoming change, 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 wider industry Maintain departmental risk … and guidelines and other relevant 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 (eg GBMs, GLMs, clustering techniques … change framework Strong technical leader, 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 Determined and passionate, particularly regarding More ❯

keeping abreast of upcoming change, 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 wider industry Maintain departmental risk … and guidelines and other relevant 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 (eg GBMs, GLMs, clustering techniques … change framework Strong technical leader, 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 Determined and passionate, particularly regarding More ❯

Company Overview: My client is a leading quantitative trading and investment firm that researches, develops, and deploys algorithmic trading strategies across global markets. Their team leverages advanced mathematical models, statistical techniques, and cutting-edge technology to trade across all asset classes on multiple exchanges worldwide. Role Overview: They are seeking a highly analytical and driven Commodity Trader to join … or algorithmic environment. Strong programming skills in Python, C++, or similar languages used in quantitative research. Deep understanding of commodity markets, including futures, options, and spot trading. Experience with statistical modelling, machine learning, or signal processing techniques. Familiarity with market microstructure and electronic trading platforms. More ❯

stakeholders, you'll lead efforts to transform and standardise complex healthcare datasets, enabling high-quality analytics, research, and innovation. To succeed, you'll bring deep expertise in data engineering, statistical modelling, and SQL-based transformation frameworks, along with experience delivering actionable insights from real-world clinical data. Main duties of the job You will be responsible for delivering … using OMOP CDM and Real World Evidence frameworks Proven experience with SQL-based data transformation tools such as SQL, DBT, or custom ETL frameworks Experience in large dataset management, statistical analysis, and machine learning techniques Extensive experience of information analysis, business intelligence and reporting Experience of using Business Intelligence tools (e.g. SQL, Python/R, Azure services) Extensive experience More ❯

Bring: Proven experience developing and deploying AI/ML models in a commercial setting Strong programming skills in Python and familiarity with ML libraries and frameworks Solid understanding of statistical modelling, natural language processing (NLP), and/or deep learning Experience working with structured and unstructured data sources Familiarity with MLOps practices and tools (e.g., model versioning, CI More ❯

emerging digital trends in social care. What Were Looking For 34+ 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 or Tableau. Comfortable using qualitative More ❯

bring Proven experience delivering impactful data insights that have influenced business or product decisions. Strong proficiency in SQL for data extraction and manipulation. Experience of Python for data analysis, statistical modelling, and automation. Experience with data visualization tools (e.g., PowerBI, Tableau, Looker) with a focus on creating insightful and clear visualisations, as well as coaching others on how More ❯

experience Location United Kingdom, Manchester Job Type Permanent Description A national business based in Central Manchester are looking for a Senior Data Analyst to join their data analytics and modelling team. This is the perfect opportunity for an ambitious analyst! Responsibilities for the role are as follows: The successful candidate will have a strong track record developing and applying … modelling and data analytics solutions, in addition to exceptional experience of developing and applying data systems to pull together disparate datasets. Experience of planning and managing projects/programmes of work, developing and managing script for repeatable analysis along with the use of statistical techniques to find trends and insight from data is essential. You must have the … ability to develop complex technical outputs and offer input to the development of strategies, plans and business cases. Hands-on exploration of data, dashboards, statistical analysis and predictive modelling. Combine qualitative and quantitative driven insights to recommend potential avenues to the business teams. What are we looking for? Degree in Maths, Economics, Physics or a numerate focused degree (min More ❯

of the role below . A national business based with offices in Central Manchester and Leeds are looking for a Senior Data Analyst to join their data analytics and modelling team. This is the perfect opportunity for an ambitious analyst! Responsibilities for the role are as follows: The successful candidate will have a strong track record developing and applying … modelling and data analytics solutions, in addition to exceptional experience of developing and applying data systems to pull together disparate datasets. Experience of planning and managing projects/programmes of work, developing and managing script for repeatable analysis along with the use of statistical techniques to find trends and insight from data is essential. You must have the … ability to develop complex technical outputs and offer input to the development of strategies, plans and business cases. Hands-on exploration of data, dashboards, statistical analysis and predictive modelling. Combine qualitative and quantitative driven insights to recommend potential avenues to the business teams. What are we looking for? Degree in Maths, Economics, Physics or a numerate focused degree (min More ❯

Customer First' ethos, creating unforgettable package holidays and flights. We couldn't do it without our wonderful people. What you'll be doing: You'll use machine learning and statistical modelling tools to generate customer, marketing, and commercial insights, which in turn will inform marketing strategy, pricing & product development for the business. You'll identify efficiencies in the … and models to understand how changes in metrics in one area of the business impact other areas. What you'll have: Experience in using R, Python, or a similar statistical analysis package. Strong SQL skills and the ability to create clear data visualisations in tools such as Tableau or Power BI. Experience in developing and deploying predictive models using More ❯

growing, with excellent visibility across the business and a genuine appetite for data innovation. Key Responsibilities Optimise existing yield and matching models for better consistency and forecasting performance. Use statistical analysis to uncover trends in historical trading data and recommend actionable improvements. Build and deploy scalable data science solutions that drive measurable business impact. Collaborate with developers and commercial … and experience working with SQL and data visualisation tools such as Power BI. Familiarity with cloud platforms such as AWS, Redshift, or Azure. Strong grasp of forecasting, optimisation, and statistical modelling techniques. Confident communicator who can translate technical outputs into business recomme ndations. Comfortable working in agile, iterative environments with cross-functional teams. **Please note: Unfortunately, this role More ❯