Scoring Data Scientist

This is an exciting opportunity to innovate in data-scarce environments, particularly within SME lending , while working closely with senior stakeholders and mentoring the next generation of data scientists.

Key Responsibilities :

• Design, develop, and peer review application scorecards (including reject inference techniques).
• Lead feature engineering initiatives to drive model performance and business impact.
• Align scorecard strategies with commercial objectives in collaboration with stakeholders.
• Apply scoring models across banking and non-banking industries.
• Develop predictive solutions in low-data environments, especially SME lending.
• Mentor and upskill junior analysts / data scientists.
• Present insights and recommendations to executive stakeholders.
• Contribute to PD and behavioural model development across the team.

Job Experience and Skills Required :

8+ years hands-on experience in application scoring & credit risk modelling

SAS expertise is essential; Paragon modeler experience advantageous.

Apply now!

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