Data Science Intern

Steyn Group

Sheffield

10 months ago

Applications closed

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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

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