Data Science Intern

Marsbridge Capital Limited; Greater London; Hybrid; GBP 18,000 - 26,000; Part time

Job summary

Marsbridge Capital Limited seeks a Data Science Intern to work with our data scientists on financial datasets, testing ideas and developing predictive features with hands-on guidance from the team.

You will support exploratory data analysis, backtest signals, apply statistical tests and document experiments for clear results. This role offers mentorship, ownership, and exposure to real-world finance problems.

Qualifications

• Currently pursuing a degree in data science, statistics, or a related field.
• Strong analytical and problem-solving skills.
• Familiarity with Python or R and SQL is a plus.
• Excellent communication and teamwork.

Responsibilities

• Support exploratory data analysis and statistical research on financial datasets.
• Backtest predictive features and potential alpha signals.
• Apply statistical tests and validation methods with guidance from the research team.
• Document experiments and present findings clearly to data scientists and researchers.

Skills

EDA

Statistical analysis

Backtesting

Documentation

Education

Pursuing a degree in data science or statistics

Tools

Python

R

SQL

Job description

Enjoy ownership, mentorship, flexibility, and the chance to make a real impact, beyond just a paycheck.

We welcome talented engineers and researchers. Explore our roles, including project-based opportunities and internships.

Data Science Intern

Work alongside our data scientists and quantitative researchers to explore financial datasets, test ideas and develop predictive features. Build practical research skills through hands‑on work and feedback from the team.

Key responsibilities

• Support exploratory data analysis and statistical research on market and alternative data.
• Help develop and backtest predictive features and potential alpha signals.
• Apply statistical tests and validation methods with guidance from the research team.
• Document experiments and present findings clearly to data scientists and quantitative researchers.

Our culture / Why work with us

Work with us, grow with us, win with us …

Evidence before conviction

Test investment ideas, challenge assumptions and let robust validation guide decisions.

From research to working systems

Connect financial research with clean data, reproducible backtests and dependable tools clients can use.

Own a problem, share what you learn

Collaborate directly with researchers and engineers, take responsibility and share findings, including what didn’t work.