Data Scientist - Global Targeting

We are looking for a Data Scientist to join our Data & Analytics team. Data Scientists play a key role within Clear Score, driving strategy and decision-making at all levels, which ultimately benefits our users, partners, and other teams within the business. We’re seeking an adaptable, curious, and challenge-loving individual to join our growing Global Targeting team. You will build, optimise, and ope rationalise predictive models to enhance our user experience through improved personalisation, contributing to best practice frameworks to enable better ways of working across the discipline.

Your contributions will directly support the business in realising our overall strategy.

Clear Score is both a free credit score and report service and the UK’s leading consumer credit marketplace. Clear Score has an amazing analytical community which includes Data Analysts, Scientists and Engineers. The community works collaboratively to ensure a landscape in which team members can develop their full potential and deliver maximum positive business impact.

• Managing the end-to-end build of predictive models to enable a more personalised user experience through data‑driven Targeting
• Interpreting and communicating the outputs of models and analysis, including actionable insights
• Automating the model development and maintenance lifecycle
• Assessing the impact and suitability of new models within the strategies utilising them
• Contributing to shared tooling to improve ways of working across the team
• Supporting the ongoing growth of Clear Score across all markets

• A self‑starter mindset: curious, collaborative, and committed to continuous learning. A desire to deeply understand a problem and its importance to the business before attempting to solve it
• A drive to understand our users, products, and how users interact with them, enhancing your ability to generate meaningful features and solutions relevant to the problem being addressed
• The ability to explain to technical and non‑technical audiences the key learnings/findings from complex analysis and modelling exercises
• High proficiency in Python and SQL, with experience in dbt and R being advantageous. A demonstrable ability to write clean, production‑ready code is highly desirable
• A strong understanding of multiple statistical and Machine Learning (ML) techniques and their suitability under various scenarios
• Thorough knowledge of and experience related to the end‑to‑end ML model build lifecycle, including feature engineering, hyper‑parameter tuning, deployment, and model maintenance (in a production environment)
• A solid grasp of common approaches to experimentation and impact evaluation, including statistical and observational methods
• A good understanding of consumer lending and the key drivers of credit and affordability strategies

Clear Score is the UK’s #1 credit score and report app. We are also present in South Africa, Australia and Canada, with more than 20 million users globally and growing fast. Someone joins Clear Score every 20 seconds. We have established relationships with over 50 of the main lenders in the UK, and have been a trusted tool for customers to manage their credit and make better financial decisions.

Since October 2016 we have helped 1.8 million users take out a new credit card or loan. We are user‑centric at our core and we believe in leveraging technology to enable positive financial choices. We are design‑led and data‑driven and we embed these behaviours in everything we do.

Our company culture is a fundamental part of all we have achieved. We believe in hiring smart, driven, passionate and diverse people who are keen on having a real impact in our organisation. We trust you to manage your own time so we offer flexible work and no fixed desk hours. We don't micromanage and we believe in measuring outcomes rather than effort.

We have an inclusive culture where all, regardless of seniority, are encouraged to contribute with their ideas, look after their wellbeing and actively seek opportunities for career growth.

If you feel like this could be the place for you, apply and our Talent team…