Remote Jobs RockRemote Jobs Rock

Data Science Intern

πŸ“… Sep 17
Predictive ModelingStatistical ModelingSimulationData Analytics
Apply Now

πŸ“œ Description

  • Build predictive models to optimize lending decisions using statistical modeling and simulation
  • Analyze consumer risk behavior trends, portfolio impacts, and business opportunities
  • Establish performance metrics and build automated dashboards using SQL and Python
  • Design and evaluate A/B tests for models and underwriting strategies, then recommend improvements

πŸ› οΈ Requirements

  • Currently pursuing Bachelors' degree math, statistics, computer science, engineering or related field
  • Experience with data analytics and statistical modeling
  • Experience with relational databases and SQL
  • Programming experience with Python
  • Strong quantitative and problem-solving skills with key attention to detail

✨ Benefits

  • Potential path to full-time employment for high performing interns
  • Fast-paced, high-energy work environment
  • Build relationships with full-time employees from day one
  • Convenient downtown Chicago office located in the heart of the city
Full job description

Founded in 2017, NinjaHoldings works to give everyday Americans better access to financial services than traditional institutions typically provide. Through our CreditNinja and NinjaCard brands, we offer digital banking and lending products designed for consumers often overlooked, paired with incentives that support long-term financial improvement. Our Edge brand extends this expertise to other companies, providing underwriting, fraud detection, and analytics services. Headquartered in Chicago with a distributed global workforce, we are a lean, growing organization committed to advancing consumer finance in the US.

Internship Summary

NinjaHoldings is seeking a self-motivated, intellectually curious Data Science Intern interested in the opportunity to grow and learn as part of a dynamic team. Our internship program offers an opportunity to work on real projects that move the business forward while receiving hands-on professional development.

When: May-August 2027

Location: Hybrid, downtown Chicago HQ (in-office 2x/week). Candidates must be local or able to relocate independently - relocation assistance is not provided.

Schedule: 40 hours/week

Key Responsibilities:

  • Build predictive models to optimize lending decisions by using advanced statistical modeling and simulation techniques
  • Use advanced data analytics to understand consumer risk behavior trends, their impact on the portfolio, and resulting business opportunities
  • Establish key performance metrics and develop automated reporting dashboards using SQL and Python
  • Design A/B testing for models and underwriting strategies, evaluate impact, and provide recommendations

Ideal Candidate Will Have:

  • Currently pursuing Bachelors' degree math, statistics, computer science, engineering or related field
  • Experience with data analytics and statistical modeling
  • Experience with relational databases and SQL
  • Programming experience with Python
  • Strong quantitative and problem-solving skills with key attention to detail

Additional Pluses:

  • Advanced degree in a quantitative discipline (e.g., math, statistics, analytics, quantitative finance, engineering, or other quantitative fields)

Benefits & Perks:

  • Potential path to full-time employment for high performing interns
  • Fast-paced, high-energy work environment
  • Real opportunity to make an immediate impact at a growth-stage company
  • Build relationships with full-time employees from day one
  • Convenient downtown Chicago office located in the heart of the city

Applicants must be legally authorized to work in the U.S. without the need for current or future visa sponsorship.

IMPORTANT NOTICE:
Please carefully review communications to ensure that they are from the official Breezy applicant tracking platform (@breezy-mail.com) or an official NinjaHoldings brand email: @ninjaholdings.com, @creditninja.com, @ninjacard.com, or @edgescore.com. If you have been contacted regarding a job opening at NinjaHoldings from any other email address, including similar email variations, this is NOT a trusted source. We recommend that you refrain from responding to suspicious emails and file a complaint with the FBI's Internet Crime Complaint Center (IC3) at https://www.ic3.gov. For questions or to confirm the authenticity of a communication, please email hr @ninjaholdings.com.

Financeit

Data Scientist, Risk Modeling & Analytics

πŸ•’ 19 days ago
FinanceitπŸ‘₯ 201 - 500 employees🏒 Financial Services

As a Data Scientist in Risk Analytics & Modeling, you will develop and deliver advanced machine learning and statistical models to enhance credit decision-making and risk management.

Data ScienceStatistical ModelingMachine LearningPython
Visagio

Visagio Talentos - EstΓ‘gio: Data Science e IA Generativa RJ

πŸ•’ 20 days ago
VisagioπŸ‘₯ 501 - 1000 employees🏒 Management Consulting

This internship is designed for university students in various fields, focusing on Data Science and Generative AI projects to drive data-driven solutions.

Data ScienceGenerative AIMachine LearningNLP
Visagio

Visagio Talentos - EstΓ‘gio: Data Science e IA Generativa SP

πŸ•’ 20 days ago
VisagioπŸ‘₯ 501 - 1000 employees🏒 Management Consulting

Contribute to client projects by analyzing data, identifying business improvement opportunities, and developing and implementing solutions in data science, machine learning, NLP, and generative AI.

Data ScienceGenerative AIMachine LearningNatural Language Processing
Lyft

Data Science Intern, Algorithms (Summer 2027 - Toronto)

πŸ“… Sep 11
LyftπŸ‘₯ 10,000+ employees🏒 Transportation

As a Data Science Intern at Lyft, you will collaborate with cross-functional teams to solve complex mathematical problems using data, focusing on optimization, machine learning, and inference.

PythonSQLNumpyScikit-learn
Lyft

Data Science Intern, Algorithms (Summer 2027 - SF/NYC)

πŸ“… Sep 11
LyftπŸ‘₯ 10,000+ employees🏒 Transportation

As a Data Science Intern at Lyft, you will tackle diverse mathematical problems, collaborate with cross-functional teams, and develop models to enhance decision-making in the platform's services.

PythonSQLNumpyScikit-learn

Trusted by Remote Workers