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3 months ago
Blue Pelican
Salary: £60000 - £75000 per annum + 10% bonus, blue-chip b
Location: London
Job type: Permanent
Business sector: B2C
Contact: Colin Doree
Sector: Marketing
Category: Analysis Jobs

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.

WHY APPLY?

  • If you'd like a real opportunity to drive results. They're still at the start of their journey and there's lots of things to test and learn from
  • The opportunity to shape and develop a new team
  • An incredibly data rich environment - one which has granular information about their customers, with a proper relationship over time showing detailed behaviours, interests and insights which can be successfully leveraged in analysis projects - this role's for you
  • If you're looking for a firm with a great reputation, one which will definitely add to your CV, and a business whose average tenure for employees is 8+ years due to high employee satisfaction - this role's for you.

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:

  • Domain knowledge - as a data scientist, commercially applying the relevant techniques and connecting the dots in the insights you've driven to achieve commercial impact, supporting business decisions and driving business results
  • You're able to communicate effectively and articulately with non-data science stakeholders. Story-telling insights, establishing their buy-in and understanding to recommended courses of action
  • You've got a maths/stats background through education, achieving decent results
  • You're comfortable learning new coding languages. Happy with a role that's tool agnostic and you've always been curious about learning new things, techniques and their application in the commercial world

Commercial experience

  • Line management experience of data scientists - this can be as maybe a Senior DS, training more junior DS talent. You're confident in your leadership skills, and would like to develop your career down the management path
  • Experience can come from agency, client or consulting environments
  • Got to be able to demonstrate experience of handling projects end to end
  • Solid stakeholder engagement, management and communication skills - particularly articulating findings in a meaningful and impactful manner
  • If you've experience working in a relational/subscriptions type consumer business, that would be beneficial
  • You're working with large-scale/Big Data already (doesn't have to be to the same scale here, but it's going to translate okay stepping up from millions to billions of rows)

Technical skills

  • You're confident with R or Python already (you may know both)
  • SQL coding is easy for you
  • Good knowledge of various modelling and predictive techniques - AI, ML, propensity, etc.

Unfortunately this company isn't able to provide sponsorship, so you will need the ability to live and work in the UK without sponsorship

TO APPLY

For further information please contact:

Colin Doree
Managing Consultant
colin@bluepelican.com

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