What will you do?
- Participate in advanced analytics projects, teaming up with other data scientists & data analysts to develop data tools and products.
- Work with the analytics engineering development teams to provide insights into user behavior and answer key business questions, turning our vast amount of data into actionable insights and transferable learnings.
- Visualize and communicate the results of your analysis to senior stakeholders, making data driven recommendations that support key decisions.
Requirements:
- Currently enrolled in a bachelor degree in a quantitative field (e.g Stats, Maths, Physics, Engineering, …).
- Data Science programming stack familiarity (Python/R/MATlab & SQL).
- Analytical skills in applied statistics.
- Some familiarity with version control tools (git)
- A fast learner, highly meticulous and proactive individual.
- Pragmatic, you know how to balance short term and long term deliverables.
- A team player, you establish effective relationships to work with others for the win.
What's in it for you?
We have a hybrid working from home/office system. So, what does this mean? All we ask is that you live within commuting distance of our office so you are able to come into the office once a week or when you have important meetings/events.
- State-of-the-art gym facilities so you can level up your fitness game.
- Book an appointment with our onsite physiotherapist.
- Drop by our onsite hairdressers for a trim (and forget your wallet).
- Social Events are there to get you to know your colleagues.
Intrigued? We’d love to hear from you. Please click “apply” to level up and submit your application in English.
