7 of 7 Remote/Hybrid Statistical Modelling Jobs in the UK

Civica, or Orchard) and the ability to apply advanced analytics to operational challenges in housing (desirable). Demonstrated experience in using machine learning, predictive modelling, and statistical analysis to solve real-world problems. Expertise in statistical modelling, predictive analytics, clustering, classification, and regression techniques. Strong background ...

This post represents an exciting opportunity to contribute to the development of analytical strategy and modelling capability within highly commercial business function. The business is looking at exceptional level analytical graduates, who have excelled academically within Mathematical Sciences, Statistics, Operational Research or Economics (or equivalent). Any commercial experience … mining techniques to help the business understand customer behaviour, revenue performance and identify commercial opportunity Specifying, implementing and maintaining databases in support of the statistical model development and monitoring. Performing detailed and well documented analysis to support the development of the models. Apply Mathematical Modelling and Statistical ...

engaging, compliant and commercially successful gaming products used by players worldwide. In this role as a Game Mathematician, you'll be responsible for designing, modelling and analysing the mathematical frameworks that power casino and gaming products, ensuring they are both exciting for players and commercially optimised. You'll work … closely with developers, game designers and compliance teams to bring concepts to life from initial modelling through to release. What We're Looking For Minimum of 2 years in the iGaming sector Strong degree in Mathematics, Statistics, Physics or a related discipline Excellent probability theory and statistical modelling ...

technical stakeholders, including coaches, scouts, analysts, and traders. Skills & Attributes Strong background in Python, with experience in data manipulation (Pandas/Polars) and statistical modelling. Industry experience in a data science role focussing on sports analytics. Knowledge of advanced football metrics (possession value models highly desirable). A deep ...

passionate about using advanced data science to drive real-world impact in sport, this is the role for you. Key Responsibilities Develop and apply statistical models and algorithms to analyse player performance, match outcomes, and tactical insights Collect, clean, and process football-related data from diverse sources Build clear … experience as a Data Scientist , plus a strong academic foundation Python Data Science Stack : Advanced proficiency in Python , including Pandas, NumPy and scikit-learn. Statistical & Machine Learning Modelling : Experience with a variety of ML techniques ( regression, classification, clustering, time-series forecasting ) Experience with deep learning frameworks such ...

strong track record of making long-term architectural decisions across complex, data-intensive systems that proved right over time. Experience applying machine learning or statistical modelling to real-world, high-volume datasets - with a focus on producing insights that are explainable and operationally useful, not just technically impressive … around you. Nice to have Experience with telematics, IoT, financial or other high-frequency data sources Familiarity with predictive maintenance, anomaly detection, or cost modelling in an industrial or logistics context Familiarity with ClickHouse, Supabase, or similar modern data stack tooling Background in fleet management, analytics, logistics, or industrial ...

environment. Research in the Institute builds and expands upon a variety of methods, from strategies for sequence and image analysis through to high-dimensional statistical models, machine learning and artificial intelligence. Computational methods developed by groups based at EMBL-EBI are amongst the most widely used by the scientific ...