Head of Data Science & Engineering - Private Markets
A global Private Equity firm are seeking an experienced Head of Data Science and Engineering as part of a critical data transformation and modernisation programme, moving towards a data-first approach. They are currently in the process of replacing a legacy data-warehouse setup with a platform as a service model using Databricks hosted on Azure, which this role will be responsible for leading, taking line management responsibilities for their Data Engineering team.
Once the platform is in place, the next step will be to be build out a brand-new Data Science team who will then be responsible for implementing techniques/capabilities for machine learning, natural language processing, statistical modelling etc. The long-term aim is to build a function that works in partnership with the Investment Team and actively provides deep, actionable insights to enable business growth.
The ideal candidate will demonstrate:
- A technical background in data engineering and data science with experience of technologies including Python, Spark, Databricks and Azure cloud.
- Previous experience in managing the build of a cloud-hosted data platform and applying data science methodologies
- Passionate about all aspects of data (data governance, data quality management etc.) and the positive impact ‘good data’ can bring to a business
- Demonstrable experience in setting up and managing high-performing technology teams, establishing and driving best practises and being able to still engage at a technical level
- Able to credibly and confidently engage with the business at all levels
- A background in Financial Services or at the very least, a regulated industry, is critical
If you are a data enthusiast with experience in leading high-performing teams to develop modern data science platforms, then this is a genuinely exciting time to join a growing business transitioning to a data-first approach.
