Point72
2027 Summer Internship - MS/PhD Data Scientist, Proprietary Research
New York, NY · Intern · Internship
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$14,414 more — $144,414 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $144,414 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Data Scientists" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · New York-Newark-Jersey City, NY-NJ. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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About the role
- You'll work alongside a talented team with diverse skills, backgrounds, and perspectives.
- We look for other bright, motivated, and collaborative people to join our team and grow with us.
- For more information, visit https://point72.com/.
Responsibilities
- Working alongside Analytics team members who deliver research findings to investment teams, portfolio managers, and other internal clients
- Develop technical, writing, and presentation skills
- Participate in networking opportunities across the firm, with groups such as Trading, Finance, Trade Support, Compliance, and Technology
Requirements
- Pursuit of master's or PhD degree in a quantitative discipline
Compensation
- The annual base salary range is $130,000–$175,000 (USD), which will be prorated based on internship start and end date; this does not include overtime compensation.
Benefits
- A highly collegial environment that emphasizes teaching and learning as a team
- Tackling challenges of featuring and modeling large and unstructured data using machine learning and statistical techniques
- Demonstrated interest in machine learning, statistical models, and data mining tools
This listing is sourced directly from Point72's careers page and normalized into a canonical job model.