Statistical Modelling Jobs in Wolverhampton

2 of 2 Statistical Modelling Jobs in Wolverhampton

Computational Biology & Machine Learning Scientist

Wolverhampton, England, United Kingdom
JR United Kingdom
edge biotech organization is seeking highly motivated Computational Scientists to support the mission of decoding and engineering the immune system. The role focuses on developing advanced machine learning and statistical models to analyze complex biological data, particularly immune repertoires and multimodal datasets. About the Role As part of a collaborative Computational Biology team, you will: Design and implement machine … and industry domains. Required Qualifications PhD (or MSc with equivalent experience) in Computational Biology, Bioinformatics, Computer Science, Statistics, Physics , or related quantitative discipline. Strong background in machine learning and statistical modeling , with a demonstrated ability to solve complex biological problems. Proven track record of scientific productivity (e.g., peer-reviewed publications). Hands-on experience in data handling, visualization , and More ❯
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Data Scientist

Wolverhampton, England, United Kingdom
Hybrid / WFH Options
JR United Kingdom
This role demands both technical acumen and commercial awareness, as you’ll directly impact profitability through smarter pricing, stock optimisation, and predictive inventory management. Key Responsibilities: Develop predictive and statistical models to optimise inventory management, pricing strategies, and advertising sales performance. Analyse inventory turnover, sales rates, supplier lead times, and customer demand to inform stock and order management decisions. … and supply teams to embed data-driven decision-making across the business. Build scalable, reusable models and frameworks to inform long-term inventory and pricing strategy. Skills & Experience: Strong statistical modelling and predictive analytics expertise. Proficiency in SQL and Python (or R) for data manipulation and model development. Experience working with commercial, sales, or inventory datasets. Strong stakeholder More ❯
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