Data Science Intern

Steyn Group
Sheffield
9 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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