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Head of Data Science

Harnham

London

On-site

GBP 100,000 - 130,000

Full time

9 days ago

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Job summary

A leading FinTech company is looking for a Head of Data Science to lead their efforts in developing credit models. This role involves spearheading a data science team and leveraging analytics to drive responsible lending solutions, all while collaborating cross-functionally within the organization. The ideal candidate will possess a strong background in data science and a passion for ethical financial solutions.

Qualifications

2+ years of data science leadership experience.
Aptitude to embrace AI projects to enhance the business.

Responsibilities

Lead a Data Science team to build credit models supporting growth.
Develop segmented credit models for unsecured lending.
Communicate insights to stakeholders and monitor model performance.

Skills

Python

SQL

Communication

Education

MSc or PhD in Computer Science, Artificial Intelligence, Mathematics, Statistics

This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Harnham

Building Data Science and Machine Learning Teams in the UK | The Talent Driving The Data and AI Revolution

Head of Data Science

Up to £130,000

London (2/3 days onsite)

Company:

Join a bold FinTech lender reshaping credit for the UK’s subprime market. Focused on Credit Cards and Loans, the company uses a digital-first platform and smart analytics to assess affordability fairly and lend responsibly. Backed by a trusted brand, it’s making credit clear, accessible, and ethical.

Responsibilities:

Lead a Data Science team to build and embed top credit models supporting growth and customer outcomes.
Develop and deploy segmented credit models for unsecured consumer lending.
Improve data and analytics by identifying opportunities and encouraging rapid testing.
Work with Analytics to optimise portfolio value through data and modelling adjustments.
Communicate insights to stakeholders, monitor model performance, and collaborate across teams and external partners.

Requirements:

MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
Strong coding skills in Python and SQL
Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment.
2+ years of data science leadership experience
Aptitude to embrace AI and its potential for the business, helping to identify and deliver AI projects across the business

**Please note that this role does not offer visa sponsorship**

How to Apply:

Please register your interest by sending your CV to Emily Burgess via the Apply link on this page

Seniority level

Seniority level
Mid-Senior level

Employment type

Employment type
Full-time

Job function

Job function
Analyst, Engineering, and Management

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