Data Scientist at CreditorWatch developing credit risk models using proprietary databases. Collaborating with ML and AI teams to enhance product development and model performance.
Responsibilities
Design, build, and validate predictive models for commercial credit scoring using statistical and machine learning techniques.
Collaborate with Product and Sales teams to create new data-driven products and services that provide actionable insights into business creditworthiness.
Partner with AI/ML Engineers and Data Engineers to integrate models with data pipelines, APIs, and enterprise systems.
Contribute to the design of scalable, maintainable, and secure model deployment architectures.
Analyse new data sources to assess value and opportunities for model improvement.
Develop innovative features and data transformations to enhance model performance.
Present findings and recommendations to senior leadership and clients.
Requirements
Bachelor’s degree in Mathematics, Statistics, Actuarial, Data Science, Computer Science, Engineering, or a related quantitative field.
5+ years of experience in data science, with a strong focus on credit risk modelling or financial analytics.
Proficiency in Python, SQL, and machine learning libraries.
Strong understanding of statistical modelling, feature selection, and model validation techniques.
Knowledge and curiosity about current AI developments.
Excellent communication skills and ability to explain complex concepts to non-technical audiences.
Benefits
Fitness First Platinum gym membership
Barista-made coffee, breakfast, snacks, lunches and drinks
$50 per month for phone credits
Additional day off each month for wellness
Monthly in-house massages
Performance-based bonuses and access to Employee Share Scheme
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