About us

MindGym uses the latest behavioural science to transform the performance of companies and the lives of people who work in them.  Most of FTSE100/S&P100 are clients and over 2 million professionals in 60 countries have taken part in a live MindGym experience, whilst many more have connected digitally.

We’re growing rapidly and have successfully floated on the London Stock Exchange.  This is just the start.  We have a bold vision to redefine how companies and individuals flourish, and so disrupt the market for behavioural change.

If you’re determined to make a difference, voraciously curious and brimming with entrepreneurial spirit, we’d like to hear from you.

The Job

With the deep scientific roots of Mind Gym, data has always been essential part in every aspect of our business. In order to advance our capabilities, in 2020 we have established a dedicated data function within the larger technology department. Since then, we have have built a team with competences in state-of-the-art statistical methods, machine learning techniques and data engineering practices. Our highly skilled data engineers, data scientists and data analysts help transform the business. We deploy the right tool for the right job with a mix of Python and R orchestrated with Argo on top of Kubernetes. Our main data warehouse is built around Snowflake. Our wider engineering platform is AWS Serverless based alongside a modern DevOps stack.

What you'll be doing

  • Work with stakeholders throughout the organisation as part of a cross functional “mission team” to identify opportunities for leveraging data to drive business solutions.

  • Identify valuable data sources and automate collection processes.

  • Undertake preprocessing of structured and unstructured data.

  • Interrogate our data from multiple angles in order to spot problems & opportunities.

  • Build, deploy, operate and care for visualisations and dashboards that deliver valuable business insights.

  • Contribute to the attainment of the quarterly OKRs of the team.

  • Follow lean and agile principles, maximising the work not done and only building what you need.

  • Get involved with agile ceremonies that prepare, co-ordinate and reflect on the team’s throughput.

  • Help us build a generative team culture with high co-operation, shared risks, encouraged bridging and blame free post-mortems.

About you


  • You love the idea of being a data scientist and have been taking concrete steps to get there

  • You have an entrepreneurial spirit and can identify opportunities

  • You have some experience of statistics

  • You have keen analytical skills and an inquisitive nature

  • You are able to identify patterns and outliers


  • Some experience of cloud with AWS, GCP or Azure

  • Some programming experience (preferably R or Python)

  • Some experience of data modelling techniques and query languages


Apply for this Job

* Required

resume chosen  
(File types: pdf, doc, docx, txt, rtf)
cover_letter chosen  
(File types: pdf, doc, docx, txt, rtf)