Data Science Manager

£71k - £96k + Benefits

Looking to take your Data modeling and business insight gathering skills and work with a business that's heavily focused on delivering excellent customer experiences? We're working with a highly successful business with ambitious growth plans as they look to invest heavily into their Data Science teams based in London. 

Our client is offering hybrid working with 1-2 days required in the office and the rest can be spent working from home. 

If the above sounds like you read on! If you are not, then check out our other jobs – we are also looking for people in other MI & Insight positions!


Job Summary

Our client’s Data Scientist team has recently grown and with that growth comes the need for a new Data Science Manager which is where you come in. This business supports a large remit of customers across the UK and has seen an increase in the demand for its services. The business continues to lead the way as an industry leader in their respected field and there is a huge opportunity for someone joining the business to further their career and have a real impact on their success.


Your role

As the  Data Science Manager, you'll work in the Data & Analytics team which is responsible for providing business insights that drive better customer outcomes and commercial results. In the team, you'll be developing advanced statistical models to support optimisation across all business areas.  


About you

Highly experienced in programming in Python and strong exposure to using core Data Science Libraries as well as DevOps tools like Git (extra points if you have a passion for independently researching new methodologies and techniques that can be used for business problems), and have been great at it and all that being a Data Science Manager, involves –if it needs explaining then this is probably not for you. 


Some bullet points about you:

  • Knowledge of machine learning algorithms such as logistic regression, tree-based methods (random forests, gradient boosting etc), neural networks etc.
  • Proficient in SQL with practical experience in database extraction and reporting. Ideally using Azure or Snowflake ecosystems
  • Ideally with experience in SAS to extract data from a legacy platform
  • Strong commercial awareness understanding of impacts on financial performance
  • Proven stakeholder management exposure at all levels, demonstrating influence and communication skills 


How to Apply?

If all of this sounds like you then click on the apply button or if you want to learn more before that then contact us and make it for the attention of John who will answer any questions that you might have!