Risk Data Science Intern

Who We Are

Imprint is reimagining co-branded credit cards & financial products to be smarter, more rewarding, and truly brand-first. We partner with companies like Rakuten, Booking.com, H-E-B, Fetch, and Brooks Brothers to launch modern credit programs that deepen loyalty, unlock savings, and drive growth. Our platform combines advanced payments infrastructure, intelligent underwriting, and seamless UX to help brands offer powerful financial products—without becoming a bank.

Co-branded cards account for over $300 billion in U.S. annual spend—but most are still powered by legacy banks. Imprint is the modern alternative: flexible, tech-forward, and built for today’s consumer. Backed by Kleiner Perkins, Thrive Capital, and Khosla Ventures, we’re building a world-class team to redefine how people pay—and how brands grow. If you want to work fast, solve hard problems, and make a real impact, we’d love to meet you.

The Role

We’re seeking a motivated Risk Data Science Intern to join our Winter 2025 Internship program. This role provides hands-on experience in developing data-driven solutions that support smarter and safer credit decisions. You’ll work closely with our Credit & Fraud Risk Analytics team to analyze large datasets, contribute to model development, and generate insights that help balance growth with responsible risk management. Through this internship, you’ll gain exposure to the intersection of data science, credit risk, and fintech innovation, while contributing to projects that have a real impact on our business and customers.

Location

This role will be a hybrid work format, with time split between working remotely and working onsite from our New York HQ, 2-3 days a week as required by your manager.

What You’ll Do

• Develop and Enhance Credit Models: Design, develop, and test statistical and machine learning models for credit risk areas (underwriting, fraud detection, portfolio management).

• Data Analysis & Insights: Explore large datasets, identify patterns, and contribute to insights that inform credit strategies.

• Model Monitoring: Help track how models perform over time, assist with validation, and support documentation to ensure compliance with governance and regulatory standards.

• Collaboration: Partner with cross-functional teams (Product, Engineering, Credit) to see how risk data science connects with product development and business strategy across the company.

• Learning & Growth: Take on meaningful projects, receive mentorship from experienced data scientists, and build presentation skills by sharing your work with team members and senior leaders.

What We’re Looking For

• Education: Currently pursuing a Bachelor’s or Master’s degree in a quantitative field (Statistics, Mathematics, Computer Science, Economics, Engineering, etc.).

• Technical Skills: Coursework or project experience with Python (pandas, scikit-learn, NumPy) and SQL.

• Analytical Curiosity: Interest in statistics, machine learning, and problem-solving.

• Communication: Excellent communication skills, both written and verbal, with a customer-focused mindset.

• Team Player: Eagerness to learn, collaborate, and take on new challenges.

What You’ll Gain

• Hands-on experience applying statistical and machine learning techniques to real-world credit and fraud risk problems in a high-growth fintech environment.

• Exposure to the end-to-end credit lifecycle, including underwriting, fraud detection, portfolio monitoring, and policy optimization.

• Opportunities to develop technical skills in Python, SQL, and data visualization while working with large, complex financial datasets.

• Collaboration with experienced data scientists and cross-functional teams, learning how data-driven insights translate into business strategy and responsible growth.

• A chance to make a meaningful impact by contributing to projects that improve risk prediction, enhance customer trust, and support innovative credit products.

Perks & Benefits

• Competitive compensation and equity packages

• Leading configured work computers of your choice

• Flexible paid time off

• Fully covered, high-quality healthcare, including fully covered dependent coverage

• Additional health coverage includes access to One Medical and the option to enroll in an FSA

• 16 weeks of paid parental leave for the primary caregiver and 8 weeks for all new parents

• Access to industry-leading technology across all of our business units, stemming from our philosophy that we should invest in resources for our team that foster innovation, optimization, and productivity

Imprint is committed to a diverse and inclusive workplace. Imprint is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Imprint welcomes talented individuals from all backgrounds who want to build the future of payments and rewards. If you are passionate about FinTech and eager to grow, let’s move the world forward, together.