1 to 4 of 4 Statistical Modelling Jobs in the Midlands with Remote Work Options

identifying trends and opportunities. Collaborating with key stakeholders from around the business to understand their data needs. Working with large data sets and applying statistical modelling to unearth useful insights. Tell a story form the data and make actionable recommendations to drive strategic decisions. Implement processes to improve … Passionate about understanding the customer and using data to drive business strategy Ability to unearth actionable insights from complex data Ideally has experience in statistical and predictive modelling (desirable) Presentation skills and experience managing senior stakeholders If you are interested in this role, please get in touch with more »

Desirable Bachelor’s degree in Mathematics, Computer Science, Computer Engineering, Statistics, or relevant field DP-100, DP-203, DA-100, AZ305 Machine Learning and statistical modelling experience Comprehensive knowledge of the Visual Studio development/SQL Management Studio environments What we offer Competitive salary Great learning and development more »

visualisation tools (e.g., Thoughtspot, Tableau, Power BI). Strong understanding of digital marketing platforms (e.g. Google Ads, Facebook Ads) and attribution. Advanced skills in statistical analysis and predictive modeling. Proficiency in SQL (advanced) and experience with programming languages (e.g., Python, R) for data analysis. Experience with DBT and Snowflake more »

place-based area. We encourage interest from individuals with interest and experience in: R/R Studio, Python, MS Excel, SQL, PowerBI, machine learning, statistical analysis, and reporting on complex data. About us The Royal Wolverhampton NHS Trust is one of the largest NHS trusts in the West Midlands … that suit your needs and as such will consider all requests from applicants who wish to work flexibly. Job description Job responsibilities To provide statistical insight and analysis of population health in Wolverhampton. Be able to explain complex information to a wide range of audiences to support decision makers. … data, social deprivation, census etc.). Create automation processes for the management of key population health datasets on an ongoing basis. To use robust statistical and analytical techniques and a range of software to interpret highly complex data gathered from a wide variety of sources. Use complex queries written more »