Data Scientist – Internship [Summer 2026] | New York, NY, USA

Filled
February 23, 2026
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Job Description

The Data Scientist Intern role at Two Sigma is a highly competitive internship focused on applying advanced research and data science techniques to real-world financial and economic problems.

Two Sigma is known for combining science, technology, and finance, making it one of the top destinations for quantitative talent globally.

🧠 What You’ll Do

During the 10-week internship in New York (SoHo office), you will:

  • Research hypotheses using large, unique datasets.
  • Apply cutting-edge statistical and machine learning methods.
  • Conduct literature reviews and academic-style experimentation.
  • Collaborate with engineers and business stakeholders.
  • Work closely with a mentor on a single project.
  • Present results at the end of the internship.

You’ll also participate in:

  • Research reading groups
  • Academic seminars
  • Collaboration with scientists and engineers

🎓 Eligibility Requirements

You should:

  • Be pursuing a degree in a quantitative field:
    • Computer Science
    • Statistics
    • Economics
    • Mathematics
    • Engineering
    • Quantitative Social Sciences
  • Have ~1 year remaining before graduation.
  • Be proficient in Python and SQL.
  • Have completed a research or data project.
  • Demonstrate independent thinking and strong communication.

💡 Finance background is not required.

💰 Compensation

Weekly pay depends on degree level:

  • Bachelor’s: $3,800/week
  • Master’s: $3,900/week
  • PhD: $4,200/week

This is considered one of the highest-paid data science internships globally.

🌟 Perks & Benefits

  • Hybrid work flexibility
  • Home office budget
  • Onsite gym & wellness programs
  • Snacks, game rooms, casual environment
  • Networking with top researchers and engineers

🚀 Why This Internship Is Prestigious

Two Sigma internships are valued because they:

  • Provide exposure to quantitative finance
  • Emphasize research-driven data science
  • Offer strong mentorship
  • Often lead to full-time offers
  • Strengthen applications for:
    • Quant roles
    • Top tech companies
    • PhD programs

🎯 Ideal Candidate Profile

You’ll be a strong fit if you:

  • Enjoy mathematical modeling and experimentation.
  • Like research more than dashboarding/business analytics.
  • Are comfortable with statistics and machine learning theory.
  • Want to work at the intersection of AI + finance.