Data Science Analyst

OneMain Financial • Wilmington, DE

1d • Hybrid

About The Position

As a Data Science Analyst, you will develop technical skills for building machine learning systems and producing strong customer outcomes. You will apply your talents, creativity, and passion to innovative solutions for real-world data science use cases, while learning from consumer-lending experts in a close-knit, team-oriented environment. The role provides exposure across multiple disciplines to support career growth.

You will use statistical and machine learning techniques to analyze data and solve complex, unstructured business problems. Projects include evaluating non-traditional data sources to improve underwriting, analyzing marketing campaign data to identify potential customers, and partnering with operations teams to uncover insights that help branch staff serve customers. You will also contribute to the team’s collaborative culture by sharing knowledge and supporting peers.

OneMain Financial offers flexible work arrangements and describes its culture as inclusive, collaborative, diverse, and focused on career development and community impact. The listed locations are Wilmington, Delaware, and Charlotte, North Carolina, with a hybrid arrangement indicated for Charlotte.

Requirements

• Be a current post-graduate student in a quantitative discipline, such as Engineering, Data Science, Statistics, Biostatistics, Physics, Economics, Operations Research, or Computer Science, with an expected graduation date of Winter 2026 or Spring 2027.
• Have outstanding communication skills, including the ability to explain technical topics and concepts to a non-technical audience.
• Have demonstrated experience working with diverse teams to deliver complex projects; experience may be academic, athletic, volunteer, or employment-based.
• Have experience using open-source machine learning libraries in Python or R.
• Be innovative and capable of developing creative solutions to complex, data-driven problems.

Nice To Haves

• Strong analytical, strategic-thinking, communication, and leadership skills.
• Curiosity, creative problem-solving, integrative business thinking, teamwork, and a bias for action.
• Enthusiasm for learning and tackling real-world challenges.

Responsibilities

• Apply statistical and machine learning techniques to analyze datasets and solve complex, unstructured business problems.
• Contribute to the team culture by sharing knowledge and helping peers.
• Develop technical solutions that improve company decision-making, customer experience, and shareholder returns.
• Evaluate non-traditional data sources for their potential to improve underwriting decisions.
• Analyze marketing campaign data to identify populations who may benefit from the company’s products.
• Partner with operations teams to surface data insights that help branch staff serve customers.

Benefits

• Medical, prescription, dental, vision, hearing, accident, hospital indemnity, and life insurance options.
• 401(k) matching up to 4%.
• Employee Stock Purchase Plan with a 10% share discount.
• Tuition reimbursement.
• Paid time off, including 15 vacation days per year.
• Paid sick leave as determined by state or local ordinance, prorated based on start date.
• 11 paid holidays per year, based on start date.
• Three days of paid volunteer time per year, prorated based on start date.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level