Graduate Management Trainee Data Science

Greenspoon is Kenya's fastest growing online supermarket, delivering thousands of delicious, healthy, and fresh groceries directly to our customers' homes every day. We are building East Africa's largest online supermarket with exceptional service and quality at an every day price.

Are you ready to kickstart your career in 2026? Do you love turning messy data into clear answers, and answers into tools that people actually use? Greenspoon is looking for a Graduate Management Trainee to join our Data Science team. You will sit inside our product teams and work shoulder to shoulder with Operations, Commercial, Marketing, and Finance, helping them make better decisions and run faster through data, models, and lightweight tools. Given the phase of the business, start up to scale up, the questions landing on your desk every day are real and varied. Why did basket size drop on Tuesdays? How many crates of strawberries should we order next week? Which customers are about to churn? Where is the bottleneck in our picking process? You will get to work on all of it.

1. Rotate across the business and embed inside different product teams, owning end-to-end work that spans: Analysis, Data engineering, Tool building, Automation, Forecasting, Experimentation, Dashboarding and reporting
2. Present your work to leadership, defend your assumptions, and ship things that the business depends on.

1. Analytical mindset
2. Curiosity
3. Builder mentality
4. Strong communicator
5. Willingness to speak up
6. Discipline and consistency
7. Ownership
8. Hands on attitude
9. Excellent academic achievement
10. Bachelor's or Master's degree in computer science, statistics, mathematics, engineering, economics, or a similar quantitative field
11. 0–2 years work experience
12. Working knowledge of SQL and at least one programming language, ideally Python
13. Desirable experience with GitHub and analytics engineering tools such as dbt
14. Desirable experience in deploying ML models in production environments
15. Comfortable in Google Sheets and a plus if you have already touched Google AppScript or any scripting for automation
16. Exposure to forecasting, machine learning, or experimentation is a plus, but not required
17. Ready to work in a fast-paced environment where priorities shift week to week