1 to 25 of 148 Permanent Statistical Modelling Jobs in England

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 ...

seeking a Senior Data Scientist with a strong background in Biostatistics to help leading life sciences and pharmaceutical organisations modernise and scale their statistical modelling capabilities. This role combines statistical expertise with modern data engineering practices, enabling the development of robust, reproducible, and production-ready analytical solutions. … work closely with biostatisticians, data scientists, and technical stakeholders to improve modelling approaches and deploy scalable solutions within cloud-based environments. Key Responsibilities Partner with biostatisticians and cross-functional teams to enhance statistical modelling methodologies Design and develop scalable R-based modelling workflows and packages Implement ...

insights and support evidence-based decision-making across PlayStation. This role goes beyond traditional A/B testing. You will apply modern causal inference, statistical modelling and machine learning techniques to evaluate initiatives where controlled experiments are difficult or impossible, collaborating closely with product, engineering, analytics and business … commercial initiatives. Design and execute robust measurement approaches across randomised experiments, quasi-experimental methods and observational causal inference where controlled experimentation is impractical. Apply statistical, machine learning and AI techniques to solve complex measurement challenges and generate actionable business insights. Apply advanced data science and machine learning techniques where ...

goes beyond traditional A/B testing. You will solve complex measurement problems where controlled experiments are difficult or impossible, applying modern causal inference, statistical modelling and machine learning techniques to generate robust business insights. You will collaborate closely with product, engineering, analytics and business teams to raise … PlayStation. Design robust measurement approaches across randomised experiments, quasi‐experimental methods and observational causal inference where controlled experimentation is impractical. Research, evaluate and prototype statistical, machine learning and AI techniques to solve complex real‐world measurement challenges. Apply advanced data science and machine learning techniques where appropriate to complement ...

insights and support evidence-based decision-making across PlayStation. This role goes beyond traditional A/B testing. You will apply modern causal inference, statistical modelling and machine learning techniques to evaluate initiatives where controlled experiments are difficult or impossible, collaborating closely with product, engineering, analytics and business … commercial initiatives. Design and execute robust measurement approaches across randomised experiments, quasi-experimental methods and observational causal inference where controlled experimentation is impractical. Apply statistical, machine learning and AI techniques to solve complex measurement challenges and generate actionable business insights. Apply advanced data science and machine learning techniques where ...

goes beyond traditional A/B testing. You will solve complex measurement problems where controlled experiments are difficult or impossible, applying modern causal inference, statistical modelling and machine learning techniques to generate robust business insights. You will collaborate closely with product, engineering, analytics and business teams to raise … PlayStation. Design robust measurement approaches across randomised experiments, quasi-experimental methods and observational causal inference where controlled experimentation is impractical. Research, evaluate and prototype statistical, machine learning and AI techniques to solve complex real-world measurement challenges. Apply advanced data science and machine learning techniques where appropriate to complement ...

inside of IR35) Contract: Interim/Contract The Opportunity We are supporting a well-established regulatory organisation on the appointment of a senior statistical leader to help shape the next stage of its analytical journey. This is an exciting opportunity for an experienced statistician who can provide strategic leadership … across modelling, analytics and evidence generation while working alongside an established data science team. The successful candidate will act as a trusted advisor to senior stakeholders, ensuring that analytical outputs are robust, credible and capable of informing key organisational decisions. The organisation is looking for a recognised expert ...

Germany, Brazil, Sweden, China, USA, and South Korea, as well as India. Due to continued growth, M3 MR is seeking aData Scientist – Decision Science & Modelling in London, UK. Business Unit Mission M3 MR, part of M3 Inc., provides the most comprehensive and highest-quality healthcare market research recruitment, data … deployable analytical solutions in partnership with Engineering teams, while not owning production infrastructure or application development. Key Responsibilities Model Development Design, develop and maintain statistical, probabilistic and simulation‐based models. Translate complex business questions into tractable modelling problems. Select appropriate modelling approaches based on the characteristics ...

support business decision making. Insurance industry experience is highly advantageous but not essential Analytical & Technical Expertise: Strong analytical capability, with proven experience in statistical modelling skills, and data interpretation Technical Skills: Proficiency in Python for data analysis, modelling and machine learning. Machine Learning: Experience building and evaluating … guidelines and other relevant standards/regulations at all times. Experience & knowledge Proven experience in data science and data analysis Good understanding of statistical techniques and their application, including GLMs, decision trees, random forest, boosting, natural language processing, distributions, clustering, simulation and scenario analysis Knowledge of data platforms ...

support business decision‐making. Insurance industry experience is highly advantageous but not essential. Analytical & Technical Expertise – Strong analytical capability with proven experience in statistical modelling skills and data interpretation. Technical Skills – Proficiency in Python for data analysis, modelling and machine learning. Machine Learning – Experience building and evaluating … communication skills. Organisation & Time Management – Excellent organisational and time‐management skills. Experience & Knowledge Proven experience in data science and data analysis. Good understanding of statistical techniques and their application, including GLMs, decision trees, random forest, boosting, natural language processing, distributions, clustering, simulation and scenario analysis. Knowledge of data platforms ...

intricate business challenges and translation into technical problem statements, working with diverse datasets (internal and external), and expert application of advanced machine learning or statistical modelling techniques to generate actionable insights and measurable impact. Provide hands‐on technical mentorship and guidance to junior and mid‐level data scientists … data science, coupled with SQL capabilities for data manipulation and extraction. Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear models and tree‐based methods to advanced deep learning architectures. Practical experience with, or demonstrable capability for, applications of Generative ...

adoption of the latest AI trends. You will own the full lifecycle of data science engagements: shaping ambiguous problems, designing and delivering statistical and machine learning models, and ensuring they are embedded into operational workflows. You will work across organisations at every stage of data maturity, applying sound judgement … autonomous AI, these are not substitutes for strong data science fundamentals. Candidates must demonstrate deep, hands‐on experience delivering applied machine learning and statistical modelling in real‐world settings. Internally, you will act as a data science standard‐setter, helping define best practice, raising the quality ...

helping the organisation distinguish correlation from causality and quantify the real impact of marketing investment. This role sits at the intersection of experimentation, modelling, analytics, and business decision-making. It is suited to someone who can independently deliver high-quality analytical work, communicate uncertainty with confidence, and contribute thoughtful … input to the future measurement roadmap. Your work will apply robust statistical, modelling, and experimentation approaches - including MMMs, PSA techniques, GeoLift, holdout testing, and other causal inference frameworks — to evaluate Performance Marketing effectiveness. You will work closely with buying teams, analysts, and technical partners to turn measurement questions ...

provision of bespoke analysis to operational and clinical customers by using analytical techniques which may include regular performance dashboards, demand and capacity modelling, problem structuring, statistical analysis, and responding to ad hoc queries for information and analysis. You will be a visible presence within one of the Trust … convey complex information in an easily understood way to non-analytical audiences. Additionally, you should have hands-on experience with benchmarking tools, activity forecasting, modelling, and statistical analysis. You will have experience using analytical and programming tools/languages such as SQL and R. Moreover, your background should ...

Senior Quantitative Modeller 📍 London, United Kingdom (Hybrid) 🕘 Full-Time About the Role Successful products are built on robust mathematics, accurate modelling, and continuous innovation. As a Senior Quantitative Modeller , you'll be a senior individual contributor responsible for designing, developing, and implementing advanced mathematical and statistical models that … solve complex business challenges and support innovative product development. Operating with a high degree of autonomy, you'll own the full lifecycle of quantitative modelling projects—from initial concept through to production deployment—while working closely with engineering, data science, and business teams. You'll also provide technical guidance ...

consistent and reliable for decision-making. Data Science, Automation and AI Readiness - Use Python to automate recurring analysis, reporting and data preparation, while supporting statistical modelling, predictive analytics and AI/data science proof-of-concept work. Identify opportunities to improve insight delivery through automation and emerging analytical … ability to work with complex datasets and generate practical insight. Excellent data science and programming skills, with proficiency in Python for data analysis, modelling, automation and statistical applications. Experience in data manipulation, querying and analysis using SQL. Skilled in data visualisation and presentation of analytical findings using Power ...

applications leveraging LLMs, retrieval systems and agentic workflows. Evaluate emerging AI technologies and recommend practical applications across the organisation. Data Science & Analytics Perform advanced statistical analysis and modelling across large-scale operational and engineering datasets. Develop feature engineering, experimentation and model evaluation frameworks. Create insights and recommendations that … making. WHAT YOU'LL BRING Essential Experience Demonstrable experience delivering machine learning or AI solutions within a large-scale enterprise environment. Strong experience applying statistical modelling, predictive analytics and experimentation techniques. Experience working with structured and unstructured data at scale. Proven ability to translate business problems into measurable ...

applications leveraging LLMs, retrieval systems and agentic workflows.* Evaluate emerging AI technologies and recommend practical applications across the organisation.### Data Science & Analytics* Perform advanced statistical analysis and modelling across large-scale operational and engineering datasets.* Develop feature engineering, experimentation and model evaluation frameworks.* Create insights and recommendations that … WHAT YOU'LL BRING:**### Essential Experience* Demonstrable experience delivering machine learning or AI solutions within a large-scale enterprise environment.* Strong experience applying statistical modelling, predictive analytics and experimentation techniques.* Experience working with structured and unstructured data at scale.* Proven ability to translate business problems into measurable ...

Quantitative Engineer to join Allocation Strategy's technology team. This is a hands‐on, early‐stage role at the intersection of software engineering, quantitative modelling, applied AI, and investment analytics . You will work closely with the company founders, including the Heads of Technology and Research, to design, build … evolve the firm's core data, analytics, and modelling platform. The role spans full‐stack development, backend systems, cloud infrastructure, data pipelines, quantitative research workflows, and production modelling systems . You will help translate advanced macro‐finance and asset‐allocation research into reliable, scalable software used by institutional ...

complex data into powerful business decisions? Join our team and help shape the future of data-driven decision-making by delivering advanced analytics, predictive modelling, and business intelligence solutions that influence strategic and operational outcomes across the organisation. This role offers the opportunity to work with diverse stakeholders, modern … experience: Strong experience using SQL and business intelligence platforms such as Power BI, Tableau, or Qlik. Proficiency in Python or R for data analysis, statistical modelling, and predictive analytics. Experience developing, deploying, validating, and maintaining predictive models and machine learning solutions. Strong understanding of ETL processes, data integration ...

detail. Analytical mindset with the ability to identify trends, patterns, and insights from data. Knowledge of market analysis, business performance analysis, forecasting, or statistical modelling would be beneficial. Familiarity with R, Power BI, Tableau, or other data visualization and analytical tools would be considered an advantage. Good research ...

professionals Strong analytical mindset Logical thinker Question everything; search for innovative new solutions Passion for data driven decisions Underwriting experience Proficiency in pricing techniques, statistical modelling, and predictive analytics Knowledge of the insurance market and competitive dynamics Commercial awareness and drive for practical outcomes Comprehensive understanding … technical and non-technical audiences (both in writing and verbal) Desire and capability of strategic planning Strong prioritization and delegation skills Deep knowledge of statistical methods and general insurance pricing methods and techniques Stakeholder management skills Programming skills Deep knowledge and understanding of data science/mathematics (at least ...

with cloud platforms such as Redshift, Databricks or similar Proven track record in building impactful data visualisations (Power BI or equivalent) Strong understanding of statistical modelling, predictive analytics and machine learning Experience leading or mentoring analysts Excellent stakeholder engagement and communication skills Why Join Foodbuy? Be part ...

Principal Catastrophe Researcher 📍 London | Hybrid/Remote Build something genuinely new. Most catastrophe modelling roles involve maintaining existing models. This isn't one of them. We're working with a fast-growing analytics business that's building next-generation catastrophe models from the ground up. Their technology is helping … some of the world's leading insurers, reinsurers and financial institutions understand complex natural hazard risk in ways that traditional modelling approaches simply can't. As they continue to grow, they're looking for an experienced Catastrophe Modeller to become one of the technical leaders within the business. Whether ...

working closely with the Director of Data Science to produce technically rigorous, clearly communicated outputs. You are responsible for the quality of your own modelling work and for helping clients understand what the analysis means for their media decisions. This is a role for a data scientist … projects, owning specific workstreams including data preparation, model runs, and scenario analysis under the direction of the Director of Data Science. Deliver Other Modelling Projects: You support and independently deliver a range of data science engagements, applying statistical and analytical skills to real client problems with a focus ...