Data Science Intern

The Company: 

At impact.com we are passionate about our people, our technology, and are obsessed with customer success. Working together enables us to grow rapidly, win, and serve the largest brands in the world. We use cutting edge technology to solve real-world problems for our clients and continue to pull ahead of the pack as the leading SaaS platform for businesses to automate their partnerships and grow their revenue like never before. We have an entrepreneurial spirit and a culture where ambition and curiosity is rewarded. If you are looking to join a team where your opinion is valued, your contributions are noticed, and enjoy working with fun and talented people from all over the world, then this is the place for you!

impact.com, the world’s leading partnership management platform, is transforming the way businesses manage and optimize all types of partnerships—including traditional rewards affiliates, influencers, commerce content publishers, B2B, and more. The company’s powerful, purpose-built platform makes it easy for businesses to create, manage, and scale an ecosystem of partnerships with the brands and communities that customers trust to make purchases, get information, and entertain themselves at home, at work, or on the go. To learn more about how impact.com’s technology platform and partnerships marketplace is driving revenue growth for global enterprise brands such as Walmart, Uber, Shopify, Lenovo, L’Oreal, Fanatics and Levi’s, visit www.impact.com.

Your Role at impact.com:

We are looking for a highly motivated Data Science Intern to join us. This is a great opportunity for an final year undergraduate student who is excited to learn how data science works in a real-world setting. You’ll gain hands-on experience with data exploration, modelling, and teamwork, while contributing to projects that matter.

This is a six month hybrid internship role at our Cape Town office.

What You'll Do:

As an intern, you’ll be supported by experienced mentors and team members. Your responsibilities may include:

• Learn & Explore: Get exposure to the tools and techniques data scientists use every day, including coding, data visualisation, and machine learning.
• Work with Data: Help gather, clean, and prepare data for analysis using SQL, Python and libraries like pandas and NumPy.
• Support Modelling Projects: Assist in building and testing basic machine learning models for tasks such as classification, prediction, or clustering.
• Experimentation & Analysis: Participate in analysing data, testing hypotheses, and interpreting results.
• Build Prototypes: Contribute to simple, working models or visualisations that demonstrate how data science can solve real problems.
• Collaborate: Work with other data scientists, engineers, and product managers on shared goals.
• Communicate Your Work: Document what you learn and present your findings clearly—both in writing and in meetings.

What You Have:

• Currently pursuing an undergraduate or postgraduate degree or in Computer Science, Data Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative field.
• Basic understanding of programming (preferably Python) and a willingness to learn libraries such as pandas, NumPy, and scikit-learn.
• Basic proficiency in SQL.
• Familiarity with concepts in statistics or introductory machine learning is a plus.
• Comfortable working with data and eager to learn how to turn data into insights.
• Good communication skills and enthusiasm for working in a team.
• A growth mindset—willing to try, fail, ask for help, and keep improving.
  
  

Nice to have:

 Affiliate & Partnerships Industry Fundamentals Certification by PXA

Benefits for interns:

• Hybrid, Casual work environment
• Responsible PTO policy
• Take the time off that you need. We are truly committed to a positive work-life balance, recognising that it is important to be happy and fulfilled in both
• Training & Development
• Learning the advanced partnership automation products
• Internet Allowance

impact.com is proud to be an equal opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors.

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