Location
London

Hours
Full Time

Salary
Negotiable

About the Role
ClearScore Technology Limited is seeking a Senior Full Stack Data Scientist to join our Data & Analytics team. In this role, you will play a key part in driving strategy and decision-making across the organisation, benefiting users, partners, and internal teams. You will take broad ownership of initiatives within the Global Targeting team, enhancing the ClearScore user experience through improved dynamic content targeting and prioritisation.

You will lead the end-to-end development of data science and machine learning solutions across multiple business areas and markets, evaluating new machine learning and AI approaches and integrating those that add real value. Your work will directly support ClearScore’s mission to deliver impactful user experiences and business outcomes.

ClearScore is the UK’s leading consumer credit marketplace and free credit score and report service, with a collaborative analytical community of Data Analysts, Scientists, and Engineers. We foster knowledge sharing and continuous development to maximise positive business impact.

Experience
- Proven experience leading end-to-end data science and machine learning projects
- Strong Python and SQL skills, with expertise in dbt and Analytics Engineering for feature engineering
- In-depth knowledge of statistical and machine learning techniques, including model deployment and maintenance in production
- Experience applying business-domain knowledge to drive model development or extract insights
- Comfortable explaining complex analysis and modelling results to both technical and non-technical stakeholders
- Experience working in product-focused environments and collaborating with cross-functional teams
- Desirable: Experience with AI tools in workflows, emerging ML/AI approaches (Deep Learning, transformer-based models, foundation models), real-time inference solutions, Databricks, and familiarity with consumer lending and credit bureau data

About you
- Self-starter with a curious, collaborative mindset and commitment to continuous learning
- Ability to critically assess new ML and AI techniques and apply them judiciously
- Strong problem understanding and proactive in seeking business context
- Data-driven thinker with a passion for understanding users, products, and financial wellbeing
- Effective communicator comfortable engaging with diverse stakeholders

Qualifications
- Postgraduate degree or equivalent qualification in a STEM field preferred
- Visa sponsorship is not available for this position