Senior Data Scientist

JR United Kingdom; London; On-site; GBP 45,000 - 85,000; Full time

Job summary

An innovative fintech company is seeking a Senior Data Scientist to develop cutting-edge credit risk models. In this pivotal role, you will leverage advanced machine learning techniques and rich datasets to enhance loan and credit card products. Collaborating closely with stakeholders, you'll translate complex business challenges into actionable insights while driving projects independently. This dynamic position offers the opportunity to make a significant impact in a fast-paced environment, challenging traditional banking systems with your expertise. If you're passionate about data science and eager to contribute to a forward-thinking team, this role is perfect for you.

Qualifications

• Proficiency in Python and machine learning techniques is essential.
• Strong communication skills and ability to work in a team are required.

Responsibilities

• Develop proprietary risk models to improve underwriting quality.
• Translate business problems into data-driven solutions.

Skills

Python

Machine Learning Techniques

Strong Communication Skills

Proactive Project Leadership

Tools

SQL

Job description

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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 With a strong foothold in the UK and US markets, they are challenging big banks and outdated systems with cutting-edge technology.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.