Head of Data Science

Broster Buchanan Ltd; London; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

A leading financial services company in London is seeking a Head of Data Science to lead a dynamic team in enhancing data analytics and model development for consumer lending products. This challenging role requires strong leadership and a background in statistics or a related field, combined with hands-on expertise in data manipulation languages.

Qualifications

• At least two years Data Science leadership experience.
• Strong knowledge of data manipulation and modelling languages preferred.

Responsibilities

• Lead and develop a team of Data Scientists to embed sustainable growth models.
• Enhance the data and analytics capability of the business.
• Communicate analysis and recommendations to diverse audiences.

Skills

Data manipulation and modeling languages

Leadership

AI project identification

Communication

Education

Degree in statistics, mathematics, physics, operational research, economics, or engineering

Tools

SQL

Python

Job description

Broster Buchanan have partnered with a growing financial services business who are looking for a Head of Data Science. This is an exciting and challenging position for a highly motivated and energetic individual who is looking for the next step in their career. You must enjoy working in a very fast-paced, highly flexible, dynamic environment. The Head of Data Science will lead a team working and solving problems across many aspects of a set of consumer lending products. This role will be based in central London with hybrid working available.Key responsibilities:

• Lead and develop a team of Data Scientists that will embed market leading models and processes within the business to support sustainable growth with a great customer outcome.
• Lead a team and work on the creation and deployment of best in class segmented credit models that are appropriate for unsecured consumer lending products.
• Be a driving force in enhancing the data and analytics approach and capability of the business through identifying improvement opportunities and being prepared to test and learn quickly.
• Work closely with the wider Analytics team to drive improvement to the overall value of the portfolio by adapting data sources, modeling strategies, cut-offs and application processes.
• Interact with external parties such as credit reference agencies.
• Communicate analysis and recommendations to senior technical or non-technical audiences through both written and verbal communication.
• Ensure MI in place to monitor the adequacy of models already in place, alerting the management team of any model degradation and proposing remediation actions.
• Work closely with colleagues across the group to deliver projects and the change agenda.

Requirements:

• At least two years Data Science leadership experience.
• Degree or equivalent in technical numerical field (e.g. statistics, mathematics, physics, operational research, economics, or engineering).
• Aptitude to embrace AI and its potential for the business, helping to identify and deliver AI projects across the business.
• A passion for supporting, coaching and developing high performance teams.
• Hands-on, strong knowledge of data manipulation and modelling languages - SQL and Python preferable.
• Excellent verbal and written communication skills and ability to convey complex concepts to non-technical members of the team.
• The ability to work in an extremely fast paced start-up environment.
• Extremely self-motivated and ability to operate independently.