Data Science
Team Lead

We are looking for an excellent data science team lead
with the drive and enthusiasm to manage, mentor and
inspire our team of data scientists.

Where:
Brighton / Remote, UK
Key area:
Data Science Team
Salary:
£75K - £95K DOE
Attendance:
Full-Time
About the role

We are looking for an excellent data science team lead with the drive and enthusiasm to manage, mentor and inspire our team of data scientists.

Data science is at the heart of what we do, from our recommendation engine and our greenfields machine learning projects to our Bayesian experimentation and optimisation. This is a great opportunity to play a crucial role in guiding and scaling our data science team as we move into a period of investment and growth.

We work in an AWS, snowflake, dbt, looker, python and fivetran stack and you would ideally be comfortable with these (or similar) and have a strong background and expertise in machine learning, programming and statistics. You should also be able to demonstrate a deep understanding of how these and other techniques can be applied to business problems and generate value.

As our data science team lead you will need to be comfortable managing people and bringing out the best in them, confident advocating for your team when required and enjoy fostering best practices. You will also be responsible for planning and managing an internal data science roadmap as well as executing this plan.

You will also need to be a part time individual contributor - and be confident taking a project brief and drawing out requirements, designing mvp solutions and getting sign off with the various stakeholders. Combining this with leading a team you will need to be adept at managing your time to execute the plan and/or supporting others in the team to do so.

We are looking for someone who is a self-starter, with the ability to see the big picture and understand how our data points are connected. We would like you to use your excellent communication skills to simplify concepts and explain them to others, and be comfortable liaising with people from all levels of the organisation whilst translating their needs and wants into clear requirements.

The successful candidate will join our fast growing and dynamic data team and work alongside our data engineers, analytics engineers, and customer analysts to provide the data products and insights which make a difference across the business.

To succeed in this role you will need to manage and mentor a high performing data science team which designs, creates and maintains intelligent data products and drives measurable business value.

The person we’re looking for
  • Passionate about designing and delivering solutions to complex problems
  • Curious with a desire for continuous learning
  • Friendly with a collaborative attitude to solving problems
  • Top notch communication skills
  • Self-motivated and self-managing, with task organisational skills
  • Comfortable both expressing your opinions and also listening to the opinions of others as required by the situation
  • Experienced and passionate about getting the most from data
You’ll be responsible for
  • Growing and managing our data science team
  • Building and managing our internal data science roadmap
  • Serving as the subject matter expert and spokesperson for queries in your area of expertise
  • Promoting data science excellence through the team
  • Promoting adoption of tools and best practices across the team
  • Collecting requirements from a variety of stakeholders and other decision makers
  • Translating use cases, pain points and success criteria into requirements
  • Designing, building, maintaining and upgrading machine learning models
Skills & Experience
  • Strong experience in a relevant/similar role ideally in a similar sized scaleup environment.
  • Solid business experience and awareness
  • Experience mentoring/leading/growing a high performing team
  • Excellent data science skills; python, machine learning, statistics, SQL
  • A background in discovering and communicating requirements from a wide variety of stakeholders
  • Experience managing data models  over time and evolving them to meet new business requirements
Application deadline: 06/08/2022
Apply now