This is a new role within a newly formed team. The Data Science division has been created to elevate what's possible to achieve though leveraging this business' data assets through the application of data science techniques.
ABOUT THE ROLE
They've always had a pretty sizable data function (150+ people). But following a pretty significant change in thinking, they've brought together their 3 consumer brands into the one operational business, pulling their data teams together and creating this new function.
The resultant data environment is huge (circa 34m customers). Making it one of the largest relational consumer databases in the UK. They're is in the process of moving the 3 databases together onto the one Cloud based (AWS) data warehouse. Containing everything about their customers - their interactions, value, behaviours, financial and anything else they're able to capture and store in a GDPR compliant manner.
We're talking billions of lines of data each week, pertaining to multiple product offerings and across all 3 consumer brands.
Historically (and prior to this realignment), aspects of this team handled propensity modelling and predictive analytics. Building and maintaining next best offer engines, predicting likelihood of churn based on a set of variables and scenarios, and some other more traditional CRM based pieces.
However that's going to evolve. The newly formed Data Science team are going to be looking at the art of what's possible with all this information, leveraging data science techniques including NLP, artificial intelligence and machine learning to both resolve business challenges, to identify and unlock potential, inform investment decisions and drive commercial results. Empowering decision making with ever more relevant and commercially useful insight which benefits the business and its customers.
TECH STACK AND TOOLS
In terms of tech stacks - they're in the process of working through bringing their 3 data estates into one. Putting it all into an AWS environment.
Their core analysis/programming tools are both R and Python - but they're going to be moving to a tool agnostic mentality - leaving it to the data scientist to decide what tool would be best to tackle the business challenge at hand.
ROLE: Data Scientist
LOCATION: London (Central)
SALARY: £50,000 to 68,000 base salary
BENEFITS: 10% on target bonus, pension (to 10% employer cont.), healthcare, life assurance, 25 days leave
KEY EXPERIENCE NECESSARY
You're able to demonstrate these 4 key attributes:
Unfortunately this company isn't able to provide sponsorship, so you will need the ability to live and work in the UK without employer sponsorship
For further information please contact: