Data Scientist Intern - 2027

wehrtyou; Greater London; On-site; GBP 136,000 - 226,000; Full time

Benefits offered by this job

Company-paid housing

Meals provided

Other perks

Job summary

Hudson River Trading offers a hands-on data-focused internship in London and New York, with mentoring and opportunities to explore trading research infrastructure. The program expects students pursuing STEM degrees, with Python for data analysis experience and a strong curiosity for data-driven insights.

Independent projects and Kaggle-style work are a plus, along with attention to detail and clear communication.

Qualifications

• Pursuing a STEM degree; CS background not required.
• Proficiency with Python for data analysis.
• Interest in working with data and deriving insights.
• Experience with independent data projects or Kaggle is a plus.
• Strong attention to detail is essential.
• Good communication skills are required.

Skills

Python

Data analysis

Curiosity

Independent projects

Attention to detail

Communication

Education

STEM degree

Job description

What to Expect

• A hands‑on introduction to data, modeling, and engineering practices in the algorithmic trading industry
• Independent data investigation projects in Python using open‑source libraries such as pandas and polars
• Opportunities to learn all about HRT's research and trading infrastructure, even in areas you may not be working in directly
• Technical project work and mentorship, with the opportunity to gain a deeper understanding of global financial markets
• Plenty of opportunities to connect with fellow interns, participate in team events, and explore the unique culture, food, and experiences that make each HRT office location and cities special

Qualifications

• You are a full-time student pursuing a degree in a STEM field - a computer science background is not required
• Programming experience with Python at the level of "Python for Data Analysis" by Wes McKinney
• A curiosity for working with data and finding insights
• Independent data projects, kaggle competitions, and such are a plus
• Exceptional attention to detail
• Strong communication skills

We offer a weekly base salary offer in addition to a competitive signing bonus, company-paid housing, meals, and other perks.

New York: Weekly base salary of 5,800 USD

London: Weekly base salary of 4,350 GBP

Culture

Hudson River Trading (HRT) brings a scientific approach to trading financial products. We have built one of the world's most sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading.

At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. We're a community of self‑starters who are motivated by the excitement of being at the cutting edge of automation in every part of our organization-from trading, to business operations, to recruiting and beyond. We value openness and transparency, and celebrate great ideas from HRT veterans and new hires alike. At HRT we're friends and colleagues - whether we are sharing a meal, playing the latest board game, or writing elegant code. We embrace a culture of togetherness that extends far beyond the walls of our office.

Feel like you belong at HRT? Our goal is to find the best people and bring them together to do great work in a place where everyone is valued. HRT is proud of our diverse staff; we have offices all over the globe and benefit from our varied and unique perspectives. HRT is an equal opportunity employer; so whoever you are we'd love to get to know you.

Please be advised: Use of AI tools by an applicant during interviews or assessments is strictly prohibited, unless otherwise instructed or agreed upon. We employ various methods to evaluate the authenticity of candidate responses. If we determine that AI assistance was used by an applicant during an interview or an assessment, we reserve the right to immediately end the interview or assessment, disqualify the applicant's candidacy and/or rescind any job offers extended.

You can review our Global Applicant Privacy Notice , which explains how we process applicant information.