• Category:
  • Type: Permanent
  • Salary: £95,000 to £125,000 (based on experience) plus excellent benefits.
  • Job Reference: 1232
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Role: Head of Data Science
: Central London – a couple of days a week likely
Salary: £100,000 to £140,000 (based on experience) plus excellent benefits.

Having spent the last couple of years building their Data Science function, we can vouch for the exceptional quality of talent this company has managed to attract and engage.

“So why’s this role come about?” you’re probably asking, and it’s simple. Promotion. So they’re needing to find someone who’s an inspiring leader in this field to step in and take over the reins.

This really stands out not just because of just how interesting the variety of projects are. As they don’t deal with just marketing-related challenges. But also get involved with building commercial solutions like AI-driven recommendation and decisioning engines to drive digital commerce, for example.

They tend to be really embedded with clients. Sitting at the same table, understanding their challenges and providing thought leadership to them on how data can help power a solution.

Plus they’ve got a really great variety of clients to work with too, and have been pushing boundaries for those clients in terms of what’s possible to achieve. Unlocking unrealised potential through leading on things like building and deploying ML and AI solutions in ways those clients hadn’t even considered possible.

Additionally, this company really shows something that’s been missing from agency life, certainly over the last year at least. That’s a culture of friendship, collaboration and camaraderie. Every single person we’ve placed, LOVES what they do there and more importantly, LOVES their team!

You will receive recognition and feedback on your work, especially as you will be leading a lot of the client engagement pieces with senior business leaders. As well as the opportunity to use your skills in management and leadership through inspiring the team you’ll be leading and continuing to grow.

Here, you can stretch and develop your analytical skill set across projects in heat mapping, digital automation and attribution, NLP, predictive analytics and modelling for major luxury retailers, global automotive giants, fast food brands and lots more.

Ultimately you can really flourish with this one. This team is already a good couple of years ahead of competitors who in recent months trying to build a footing with similar offerings. Plus there’s the headroom to upskill in cutting edge data science techniques, learn new tools (such as Alteryx) and working with inspiring people.

What’s not to LOVE?

Skills and experience required:

  • Educated to degree level in a numerate subject; Mathematics, Statistics, Engineering, Physics, Chemistry, Economics, Machine Learning, Computer Science etc.
  • You’ve led teams of data scientists, and have done the heavy lifting and thinking around commercial solutions which use AI, ML, NLP and predictive algorithms
  • You’re a real data expert and understand how to commercialise and use it to create business solutions
  • You’ve come from a background where you’ve done Python AND SQL, so can look at someone’s code and show them how to fix/improve it, and are comfortable coaching people around this
  • Ability to gather and scope requirements for a variety of analytical and data science projects
  • Strong experience with machine learning techniques and a modern approach to omnichannel marketing analysis techniques
  • Ability to engage with senior-level client stakeholders and operate at a senior level on projects
  • Highly skilled in leading and growing teams of analysts and science scientists



If you think you’ve got what it takes, you can share your Linkedin profile or email me a CV – it doesn’t have to be up to date, we can work on that once you decide you want to take this forward.

Or, for a chat and more information please contact me on:

Enrico Atkinson

Associate Consultant, Data
Blue Pelican
01892 507123


Every application will receive a response