Data Science Manager

  • London
  • Full Time (Permanent)
  • Hybrid
  • Data Science Central

About the role

We are looking for a data science manager to own the data science strategy and build a data science team for non-lending products. You will partner with the managing directors to define what to build from a data science perspective and lead the delivery of the data science projects.

Join us if:

  • You enjoy working with cross functional fast moving teams

  • You are able to think strategically about commercial products and how decisions using data can unlock more value for our customers

  • You enjoy being the thought partner to the managing directors who are in charge of launching and growing the new products

  • You are excited about getting your hands dirty and getting the work done

You will directly report to the Head of Data Science (Catherine Chen) who is managing the data science team.

What you’ll be working on

  • Hire, develop and retain talented data scientists

  • Own the data science roadmap to contribute to new product expansion

  • Build trust and influence a diverse range of leaders and stakeholders.

  • Gather requirements internally and externally to define the success of the data science projects

  • Drive exciting data science projects from both strategic level and tactical level.

  • Clearly communicate results to stakeholders through verbal and written communication.

  • Share ideas with the wider team, learn from and contribute to the body of knowledge.

  • Be a great mentor to a team of talented data scientists and the broader analytics community

Key Skills

  • Successful track record of managing data science projects, with cross-functional teams and senior stakeholders

  • At least 2+ years experience as a people manager

  • Confident and effective communication both internally and externally

  • Extensive knowledge of the financial services industry, including the products, data, typical ML applications, and related regulations

  • Strong technical skills in Python, SQL, and statistics

  • Experience across the model lifecycle from scoping and model development to deployment and monitoring

Nice to have

  • Experience of working in insurance, telco or consulting in financial services industry

The interview process

We’re not corporate so we try our best to get things moving as quickly as possible. For this role we’d expect:

  • Recruiter call

  • Initial call with Hiring Manager

  • Technical Interview

  • Case study

  • Final interviews with Head of Data Science and Chief Risk Officer