12 of 12 Statistical Modelling Jobs in the Midlands

of the Data Science function, supporting the Digital Strategy and its goals around Digitisation, specifically through big data, artificial intelligence and machine learning. The role focuses on applying advanced statistical methods and artificial intelligence to the 4 key levels of analytics; descriptive, diagnostic, predictive and prescriptive, providing high quality evaluation into the cause and effect of the complex challenges … divisions. To be the lead for a designated team and provide expert support to underpin project work and decision making for the needs of a modern NHS. Formulate complex statistical models and algorithms using a variety of data languages to support analysis and decision making, presenting these back to stakeholders at meetings as the BI representative. Closing date of … complex data analysis programmes of work Desirable Evidences an understanding of Python programming Proven knowledge of NHS information datasets, data manual and IT/reporting systems Practical experience in modelling e.g. forecasting, capacity and demand Skills and Ability Essential Has an understanding of classical statistical methods and their application in healthcare Demonstrates project management skills, including contribution towards More ❯

candidate brings a proven ability to develop data-driven pricing models, proficiency in analytical tools like Excel, SQL, Python, PowerBI, and experience with ERP or pricing. Key skills include: Statistical modelling, forecasting, customer segmentation, and pricing strategy optimisation. Strong communication, collaboration, and problem-solving abilities are essential, along with sharp attention to detail and the capability to manage More ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

and interpretation of survey insights. optimise customer feedback survey design for maximum engagement and actionable insights. Knowledge, Experience, and Skills Required: Proven analytical capabilities with a strong background in statistical modelling and stakeholder analysis, preferably in marketing or sales. Proficient in programming languages such as Python or SQL and experienced with CRM systems and Excel. Familiarity with data 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 ❯