4 of 4 Statistical Modelling Jobs in Birmingham

career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods More ❯

The Technical Product Manager (Dynamic Allocation Services) is responsible for driving the technical direction, development, and optimisation of our product. Combining product management with strong expertise in algorithms, data modelling, and optimisation, this role ensures that complex allocation logic is delivered as scalable, reliable, and commercially valuable product features. Acting as the link between mathematical models, engineering teams, and … Degree in Mathematics, Computer Science, Data Science, Engineering, or related field. Proven experience in technical product management, data science, or algorithm-heavy environments. Technical Expertise Strong knowledge of optimisation, statistical modelling, and applied mathematics. Familiarity with Python and ability to translate algorithmic design into technical specifications. Experience designing or managing decision-support systems, simulations, or optimisation engines. Familiarity More ❯

dashboards, reports, and visualizations that drive insight and engagement Contributing to continuous improvement projects by identifying trends, inefficiencies, and areas for innovation Learning and applying data analysis techniques including statistical methods, data modelling, and data cleansing What you’ll learn: Through the apprenticeship, you’ll gain skills in: Data collection, validation, and analysis Data visualization and storytelling Programming More ❯

dashboards, reports, and visualisations that drive insight and engagement Contributing to continuous improvement projects by identifying trends, inefficiencies, and areas for innovation Learning and applying data analysis techniques, including statistical methods, data modelling, and data cleansing Training Training will take place in the workplace via the training provider's online platform, as well as guided support from your More ❯