Data Science Intern

About Steyn Group

Steyn Group is a global single-family office platform that specialises in private market investments. We provide infrastructure and capital to seed, support, and scale emerging investment managers and operating businesses. Our data team plays a vital role in enabling data-driven decision-making across the group and our network of leading investors.

About the Role

We are looking for a motivated and analytical Data Science Intern to join our data team for 3-4 days per week over a 4-8 week period. You will work on real-world projects, helping the business extract, clean, and visualise data that informs key investment and operational decisions.

This is an excellent opportunity for a student in their final or penultimate-year pursuing a degree in a computational, mathematical, or science-based field, who is looking to gain hands-on experience in data science within a fast-paced, impactful environment.

Key Responsibilities

• Scope and research data sources and create project plans
• Source and extract data from APIs, downloads, and other relevant sources (CSV, JSON, etc.)
• Clean, structure, and prepare data for presentation
• Create informative outputs such as dashboards, reports, or visualizations to support business decisions
• Present findings clearly and effectively to internal stakeholders and external clients
• Learn and apply new data processing techniques and tools (ETL pipelines, frameworks, etc.)

Requirements

• Currently pursuing a degree in Mathematics, Physics, Computer Science, Engineering, or a related field
• Strong analytical and problem-solving skills
• Working knowledge of Python (R, HTML or similar languages are a bonus)
• Willingness to learn new tools and processes
• Initiative, curiosity, and the ability to work independently
• Excellent verbal and written communication skills
• Enthusiastic and proactive mindset

Preferred Skills

• Familiarity with machine learning frameworks
• Experience with data processing tools such as Airflow or Docker
• Exposure to data visualization tools (e.g., Tableau, Plotly, Power BI)

What You’ll Gain

• Hands-on experience with data extraction, cleaning, and visualization
• Exposure to real-world business and investment data challenges
• Mentorship from experienced professionals in data and finance
• Flexible working schedule tailored to your availability
• Introduction to professional tools and workflows used in data science and business analytics
• Insight into private markets and the operations of a leading global investment group