SENIOR/DATA SCIENTIST
HYBRID (LONDON)
£60,000 - £80,000
COMPANY:
Join a consumer finance business focused on simplifying the consumer finance experience. Our client is committed to making finance easier for their customers. With its first product, a digital credit card, it is paving the way for an ambitious growth strategy in partnership with leading consumer brands.
ROLE:
- Support the end-to-end lifecycle of model development.
- Conduct exploratory data analysis to identify trends, patterns, and insights
- Train, tune, and evaluate model performance across various functions, including risk management, fraud detection, and customer conversion.
- Implement monitoring systems to measure model performance and detect data drift.
- Collaborate closely with stakeholders from different functions to understand their requirements and provide appropriate solutions.
- Actively seek opportunities where machine learning solutions can have a significant impact on business outcomes.
- Communicate findings and insights effectively to technical and non-technical stakeholders.
REQUIREMENTS:
- A Bachelor's degree in Computer Science, Mathematics, Statistics, Business Administration, or related field.
- Advanced knowledge of SQL and Python, including popular Data Science packages such as pandas, matplotlib, seaborn, numpy, and sklearn.
- Familiarity with machine learning algorithms and techniques, with a deep understanding of their underlying principles.
- Strong problem-solving skills and meticulous attention to detail.
- Excellent communication and collaboration abilities to work effectively across teams.
- The ability to thrive in a fast-paced, dynamic environment, adapting quickly to changing priorities.
- A comprehensive understanding of regulatory requirements and industry best practices related to credit risk.
NEXT STEPS:
If this role looks of interest, please reach out to Joseph Gregory.