Cambridge, Cambridgeshire, E. of England, England
Amazing additional benefits
2 months ago
This FTSE100 biopharmaceutical company has phenomenal opportunities for Data Scientists in two separate Data Science teams within the business. With one of the most outstanding Data Science divisions worldwide (both in terms of quantity and quality), they are experiencing rapid continuous growth and as such have room for additional Data Scientists in two of their current teams.
Whether you're more interested in commercially focused projects such as biopharmaceutical market research, customer segmentation, identity fraud or improving brand ROI, or whether you're more intrigued by forecasting and optimising financial decision making, this company has multiple opportunities by the right candidates and will draw upon your areas of expertise.
The Data Scientist Role
Coming in as a Data Scientist, you will have a stellar opportunity to develop your technical skills in a hands-on, fast-paced environment.
Translating complex business problems into the appropriate data problem
Getting to grips with the company's data sources and their quality and structure
Liaising closely with the engineering and architecture teams to support large scale data preparation, the optimisation of analytical platforms, the industrialisation of analytical methods
Contributing to the data science code repository, testing new tools
Building (and deploying) data science algorithms
Keeping abreast of the latest advances within data science & analytics and your given field of expertise
The Successful Data Scientist
If you come from a PhD background in either a STEM subject or maths/engineering, coupled with a solid coding knowledge and perhaps existing experience as a Data Scientist, this could be a fantastic next step for you in your career within the world's leading biopharmaceutical giant.
Desired Skills and Background of the Data Scientist:
Solid coding experience, either in Python or R
PhD background in either STEM or maths/engineering
Fundamental mathematical understanding
(Depending on the team), experience productionising ML models
If successful, you will be offered a highly competitive salary paying well above market average and dependent on your breadth of experience.