Data Scientist
London, England, United Kingdom
- Supporting teams to transform manual processes into a Reproducible Analytical Pipeline (RAP) using Python, reducing the risk of error, and improving processing speeds. Included simplifying data integration processes and reducing the data production from 4 days to as little as a few hours, allowing the department and ministers to make faster decisions- Gathering, interpreting and analysing complex performance data to influence the decision making of the unit - suggesting ways the unit can perform better using Machine Learning- Provide Machine Learning driven recommendations to improve the services we deliver to our customers - suggesting ways delivery can be more time and carbon efficient- Programming best practices, writing manageable and maintainable code, using git version control and producing quality documentation- Engaging with teams and stakeholders to ensure they have the skills and confidence to build, use and update the improved products- Working in a mixture of local and cloud-based environment (AWS)