Machine Learning Engineer jobs in United States

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Our client is one of the UK’s fastest-growing fintech companies, revolutionizing consumer finance by making it faster, cheaper, and more transparent. Backed by leading investors and loved by customers, they’ve rebuilt key financial products like loans, credit cards, and car finance from the ground up. With a strong foothold in the UK and US markets, they are challenging big banks and outdated systems with cutting-edge technology.

The Role

As a Senior Data Scientist, you’ll be at the heart of the business, developing state-of-the-art credit risk models to underpin loan and credit card products. You’ll work with rich datasets, deploy advanced machine learning techniques, and collaborate across the business to deliver best-in-market solutions. This is a hands-on role in a team that self-serves deployments and monitoring, without reliance on a separate ML engineering team.

Key Responsibilities

1. Develop proprietary risk models to improve underwriting quality and enhance decision-making.
2. Understand the products, data, and strategies to effectively inform risk modelling.
3. Translate business problems into data-driven solutions and clearly communicate insights.
4. Collaborate with stakeholders and contribute to the team’s growing body of knowledge.

What We’re Looking For

1. Proficiency in Python and machine learning techniques, with a solid understanding of their applications.
2. Knowledge of the credit industry, including products, data, and ML use cases.
3. Strong communication skills and the ability to work effectively within a team.
4. Self-driven, with a proactive approach to leading projects and initiatives.

Nice to Have

1. Interest in machine learning engineering.
2. Strong SQL skills and a passion for data engineering.

Please note that at this stage, this role cannot offer sponsorship.