This Data Science division has been created to elevate what's possible to achieve though leveraging this business' data assets in the application of data science techniques. Looking to solve commercial challenges, as well as take advantages of the opportunities it can give to shape or even power new propositions and products.
ABOUT THE ROLE
They've always had a pretty sizable data function (150+ people). But following a 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. Containing everything about their customers - their interactions, value, behaviours, financial interactions 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 across the 3 consumer brands.
They're now moving beyond traditional propensity modelling and Next Best Action engines, looking to apply AI, ML and NLP techniques. Understanding the art of what's possible in the application of these techniques with the data assets they hold. Empowering decision making with ever more relevant and commercially useful, real time and automated insight, designed to benefit the business and its customers.
HOW THIS ROLE LINES UP
As a Data Science Manager, you're going to manage a team of Data Scientists. Responsible for the senior stakeholder engagement. Engaging them on the outputs of your team. Looking after the strategic direction and ensuring what they're doing is correctly prioritised. They're capable and skilled enough to deliver to it (coaching and supporting where necessary), and outputs are commercially relevant and able to be applied to the business.
This role will keep a hands-on element. So you need to be comfortable taking on a role where this accounts for around 40% of your time. Naturally because of the need to coach and mentor more junior members of the team, being fully conversant with the application of various Data Science techniques to solving commercial challenges is a 'must have' skill.
TECH STACK AND TOOLS
They're in the process of bringing their 3 data estates into one. Putting it all into an AWS environment.
Core analysis/programming tools are both R and Python (dependant on which brand you're doing work for) - 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 Science Manager
LOCATION: London (Central)
SALARY: £65,000 to 75,000 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 sponsorship
For further information please contact: