7 of 7 Applied Mathematics Jobs in the UK excluding London

foster a high-performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand. Essential Skills & Experience: Bachelor's degree in mathematics, statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative or scientific field, a consistent track record ...

actionable insights Produce technical reports and presentations for internal and customer-facing use Knowledge, Experience, and Skills PhD in Data Science, Applied Mathematics, Physics, Engineering, Computer Science or a related quantitative discipline or BSc with >2 years of professional experience as a data scientist (or similar) Strong … data science code Able to work autonomously , quickly understand new scientific domains, and focus on what matters most analytically Excels in a collaborative, applied-science environment that values analytical creativity and critical thinking Strong problem-solving and conceptual reasoning skills; able to diagnose and resolve complex issues logically ...

/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 ...

documentation, and design reviews. Essential Experience & skills: Master's degree, PhD, or equivalent industry experience in Electrical Engineering, Communications, Signal Processing, Applied Mathematics, or a related discipline; strong practical experience developing and debugging DSP and wireless communication algorithms in real systems; strong proficiency in MATLAB, C/… software co-design; expertise in one or more of: digital signal processing; wireless PHY design; error-correcting codes; adaptive signal processing; machine learning applied to communications systems; experience conducting RF or over-the-air testing in laboratory environments; familiarity with Linux-based embedded development environments and real-time ...

collaborating closely with data engineers and data scientists to deliver robust analytical products. Skills/Knowledge Essential Advanced knowledge of applied mathematics, statistics, and numerical analysis, with experience using techniques such as optimisation, time series analysis, simulation or predictive modelling to generate insight and support decision making. ...

senior practitioner level as a Machine Learning Engineer, AI Engineer, Applied ML Scientist, or equivalent Strong grounding in applied mathematics, statistics, and scientific practice Demonstrated ability to evaluate ML models using quantitative evidence and structured experimentation Excellent Python skills for building, evaluating, and iterating ...