Principal Data Scientist

Harnham; Greater London; Hybrid; GBP 120,000; Full time

Job summary

An innovative firm is seeking a Principal Data Scientist to lead the development of a cutting-edge lending platform. This role involves leveraging advanced data science techniques to enhance decision-making, reduce fraud risk, and improve debt recovery strategies. The company is at the forefront of transforming car finance, utilizing data to drive smarter business decisions. If you are passionate about data and want to make a significant impact in the financial services industry, this opportunity is perfect for you.

Qualifications

• Expert in Python, R, SQL and a range of ML techniques.
• Strong understanding of the regulatory environment for lending.

Responsibilities

• Build a world-class lending platform within the credit and analytics team.
• Identify data opportunities to reduce fraud risk and enhance decision-making.

Skills

Python

R

SQL

Machine Learning Techniques

Risk Management

Education

MSc or PhD in Computer Science

MSc or PhD in Artificial Intelligence

MSc or PhD in Mathematics

MSc or PhD in Statistics

Job description

1 week ago Be among the first 25 applicants

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

Principal Data Scientist

Up to £120,000

London (Hybrid, 3 days onsite per week)

Company:

They are reinventing car finance for the digital age to make it faster, fairer, and more flexible for everyone.

As a tech-first company, data is at the heart of everything they do - from real-time decisioning and risk modelling to personalising the customer journey and driving smarter business decisions. They are building a modern data stack and scaling our analytics capabilities to fuel innovation across the business.

Responsibilities:

• Working within the credit and analytics team to build a world class lending platform
• Analyse ways to increase acceptance rates while maintaining performance
• Identify data and algorithmic opportunities to reduce fraud risk
• Own the Collections strategy and deliver solutions to improve debt recovery
• Create analytic testing frameworks

Requirements:

• MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
• Expert in Python, R, SQL and a range of ML techniques (e.g., random forests, neural nets, reinforcement learning)
• A good understanding of the regulatory environment, especially responsible lending (creditworthiness/ affordability)
• Experience in using the latest data science techniques to enhance decisioning
• Strong background in risk management

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 and Engineering

• Industries

  Insurance and Financial Services

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