Overview
Key duties (including, but not limited to):
1. Help to shape the direction of their data enrichment processes with a forward-looking approach and willingness to experiment
2. Identify novel ways of using existing data for the creation of new modelling features
3. Lead the development of modelling tools and metrics to assess the value of new data sources
4. Support the maintenance and categorisation of production data used in pricing
5. Contribute to the development of current data pipelines
6. Assist with the governance and contractual aspects of acquiring and managing data sources
7. Proactively develop your data handling skills and knowledge, and support the development of others
Qualifications required:
8. Relevant academic or professional experience in the data science or data engineering space
Experience required:
9. Critical and analytical approach to problem structuring
10. Ability to continually learn and develop
11. Strong drive to deliver and comfortable collaborating in a team
12. Knowledge of data engineering and data science in general with demonstrable practical skills
13. Self-sufficient in working through analytical projects from idea to results phases
14. Experience working with Git would be advantageous