4 of 4 Remote/Hybrid Applied Mathematics Jobs in the UK

clarity genuinely matter. Contribute to system design, architecture discussions, code reviews, and wider technical decisions. Essential Requirements Bachelor’s or Master’s degree in Mathematics, Applied Mathematics, Computer Science, Engineering, Physics, Operations Research, or a similarly quantitative discipline. At least 5 years' of strong commercial experience ...

analytical work should be reproducible and code-reviewed Statistical & Analytical Foundation Postgraduate qualification (Master's or equivalent) in Statistics, Applied Mathematics, Machine Learning, Data Science, or a closely related quantitative field or demonstrated equivalent experience Deep understanding of statistical inference, uncertainty quantification, and the practical limits ...

/CD workflows Exposure to MLflow or similar model tracking/deployment tools Strong foundation in statistics, probability, linear algebra, and applied mathematics Experience delivering models such as: Churn prediction models Customer segmentation frameworks Next Best Action/propensity models Time series forecasting models About … equivalent experience in a highly quantitative discipline (e.g. Mathematics, Statistics, Physics, Computer Science, Data Science) Strong project capability with a hands-on technical mindset Comfortable working in fast-moving, agile environments Able to communicate insights clearly to both technical and non-technical stakeholders Collaborative, proactive, and delivery-focused Additional ...

seeking candidates who demonstrate the following skills and experience:* Bachelor’s or Master’s degree in Engineering, Operations Research, Computer Science, Applied Mathematics, or a related field.* Hands-on experience with simulation modelling techniques (discrete event simulation, agent-based simulation, system dynamics) and translating operational systems into … libraries.Demonstrated proficiency in at least one of the following:* + Modelling, Simulation & Digital Twins + Optimisation + Machine Learning, Data Science and applied AI techniques* Solid grasp of statistical analysis, experimental design, and data visualisation.* Experience applying AI or advanced analytics in operational or asset‐intensive environments.* Ability ...