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For Companies At a Glance
- Tasks: Join our data team to extract, clean, and visualise data for key business decisions.
- Company: Steyn Group is a global platform focused on private market investments and supporting emerging managers.
- Benefits: Enjoy flexible working hours, mentorship from experts, and hands-on experience in data science.
- Why this job: Gain real-world experience in a fast-paced environment while making impactful contributions.
- Qualifications: Pursuing a degree in Mathematics, Physics, Computer Science, or related fields with strong analytical skills.
- Other info: Work 3-4 days a week for 4-8 weeks, perfect for students seeking practical experience.
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 visualisations 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 visualisation tools (e.g., Tableau, Plotly, Power BI)
What You’ll Gain
- Hands-on experience with data extraction, cleaning, and visualisation
- 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
Contact Detail:
Steyn Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Intern
✨Tip Number 1
Familiarise yourself with the specific data tools mentioned in the job description, such as Airflow and Docker. Having a basic understanding of these tools can set you apart during interviews and show your initiative to learn.
✨Tip Number 2
Engage with online communities or forums related to data science, such as Kaggle or GitHub. Participating in discussions or contributing to projects can help you build a network and demonstrate your passion for the field.
✨Tip Number 3
Prepare to discuss real-world applications of data science in investment contexts. Research recent trends or case studies that highlight how data-driven decisions have impacted businesses, which will showcase your analytical thinking.
✨Tip Number 4
Practice presenting your findings clearly and effectively. Since the role involves communicating insights to stakeholders, being able to articulate your thoughts on data visualisation and analysis will be crucial during the interview process.
We think you need these skills to ace Data Science Intern
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant coursework, projects, and skills related to data science, mathematics, or computer science. Emphasise any experience with Python or data visualisation tools, as these are key for the role.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the Data Science Intern position at Steyn Group. Mention specific projects or experiences that demonstrate your analytical skills and willingness to learn new tools and techniques.
Showcase Relevant Projects: If you have worked on any data-related projects, include them in your application. Describe your role, the tools you used, and the outcomes. This will help illustrate your practical experience and problem-solving abilities.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which is crucial in the data field.
How to prepare for a job interview at Steyn Group
✨Showcase Your Analytical Skills
Be prepared to discuss your analytical and problem-solving skills in detail. Think of specific examples from your studies or projects where you successfully tackled complex data challenges, as this will demonstrate your capability to handle the responsibilities of the role.
✨Familiarise Yourself with Relevant Tools
Since the role involves data extraction and visualisation, make sure you are familiar with tools like Python, Tableau, or any other relevant software mentioned in the job description. Being able to discuss your experience with these tools will show your readiness for the internship.
✨Prepare Questions About the Role
Interviews are a two-way street, so prepare insightful questions about the data team’s projects and how they impact investment decisions. This shows your genuine interest in the role and helps you understand if it’s the right fit for you.
✨Demonstrate Your Willingness to Learn
Express your enthusiasm for learning new tools and techniques, especially those related to data processing and visualisation. Highlight any instances where you’ve quickly adapted to new technologies or methodologies in your studies or previous experiences.
