Data Scientist

To succeed in this role, you must enjoy a fast-paced, high-execution culture, and maintain exceptional standards at a critical stage. In particular, you will:

• Design, build, and maintain machine learning models for use in credit decisioning.
• Collaborate with software engineers in deploying the models into production environments.
• Own model lifecycle management and model performance monitoring that is delivered to the board.
• Use Open Banking transaction data to develop innovative credit risk solutions, fraud risk solutions and affordability solutions for our customers (lenders).
• Collaborate closely with the Founders, Senior Leadership Team, and Technical Team, to shape the product roadmap.
• Be a self-starter who can take real ownership and responsibility for their work and objectives, be highly organised and have excellent communication & time management skills.

Tech stack

• AWS/GCP
• Python - Preferred
• Docker Preferred or Kurbenetes
• SQL/PostgreSQL
• Git
• Nginx
• Flask or Fast API
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• 5+ years of commercial experience as a Data Scientist building machine learning models.
• Relevant degree, e.G., Computer Science, Machine Learning, Operations Research.
• Previous commercial experience with Open Banking data and building consumer credit risk scorecards preferred.
• Domain relevant experience, e.G., have worked at an FCA/PRA-regulated firm, including banks, lenders, financial data companies, credit risk companies, Credit Reference Agencies.
• Comfortable with AWS and Cloud Infrastructure.
• Understand ISO 27001 requirements.

• There are significant opportunities for progression and pay increases throughout the year, depending on performance, contribution and impact.
• Learning and development opportunities, where relevance is evidenced, can be paid for by the company.
• 25 days holiday + bank holidays.
• Company-wide bonuses should commercial targets be hit.

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