Data Science Manager (Data Methods)

The Data Methods Data Science Lead will be expected to independently define and lead all analyses and develop solutions to support key innovation initiatives and methodology development, The individual will have a relatively advanced understanding of our E2E processes, and be able to relatively independently work on identifying areas for improvement, assessing what enhancements should be made and working with other teams to implement these changes. There will be a strong focus on using panel data across our services working via our dedicated Data Processing Platform on Databricks.

• Able to drive independently key initiatives and projects related to Data Methods
• Project Plans: Outline project scope, objectives, timelines and milestones.
• Data Collection / Preparation: Management of data (e.g. cleaning, preprocessing).
• Exploratory Data Analysis: Conduct feasibility studies potential solutions / lead prototyping.
• Model Development: Building and validating models using various data science algorithms.
• Model Deployment: Designing requirements / testing / deploying models in production.
• Reporting and Documentation: Methods used, findings and recommendations.
• Training and Support: Training and providing deployment support.
• Project Review and Evaluation: Conducting reviews of project outcomes
• Able to form views on how new processes ought to be constructed.
• Co-ordinate work with On-Shore Methods Manager / Leads
• Able to contribute both to BAU enhancements and to work under the umbrella of a project.

• Ability to collaborate across key stakeholders in operations, technology and product teams
• Ability to collaborate and communicate with stakeholders upwards and with team members
• Be able to communicate in an appropriate manner (e.g. verbally, presenting or creating a PowerPoint, Word document, email)
• Adhering to deadlines and escalating where there is a risk of delays
• Demonstrate and role model best practise and techniques including positive communication style.
• Displays a proactive attitude when working both within and outside of the team.
• Demonstrates clear, direct and to the point communication at Data Methods team meetings

• Proactive identification and root cause analysis of Data Methods issues and development of best practice solutions to improve the underlying methodology and processes.
• Support regular methodology review meetings with On-Shore Manager and Leads to establish priorities and future requirements.
• Knowledge sharing through the team, in either team meeting or day-to-day with the wider Data Methods team
• Able to think through complex processes and to how to construct and improve them, considering in detail the positive and negative implications of different approaches and how best to test and assess them.