Graduate Data Scientist

We are seeking a Graduate Data Scientist to join our team at Wise, a global technology company that aims to make it easier and cheaper for people and businesses to move and manage money across borders.

As a Graduate Data Scientist, you will work on projects that impact our customers and help us prioritize improvements to our products. You will participate in building machine learning-based solutions and experimenting with state-of-the-art algorithms.

In this role, you will:

• Work directly on projects that impact our customers
• Help prioritize significant improvements to our products
• Build industry-proven machine learning-based solutions
• Experiment with state-of-the-art algorithms
• Choose your path to impact and work autonomously
• Collaborate with smart, curious people across Wise
• Be flexible in how and where you work

In your first 6 months, you will:

• Onboard in the Austin office and understand your team's vision
• Learn about Wise products and the problems your team is solving
• Understand how Data Science works at Wise and what each team and tribe does
• Get acquainted with the tech culture, tech stack, and how we build stuff
• Go through two quarterly plan cycles and propose your own ideas

Requirements:

• Graduating in 2027 or did in 2026 from a Bachelor's or Master's degree in Computer Science, Mathematics, or a related STEM subject
• Able to start a full-time graduate job on 6 September 2027
• Knowledge of Computer Science and Machine Learning fundamentals, Python, and SQL
• Solid foundation in Probability and Statistics fundamentals
• A self-started side project that you are proud to talk about
• Curious, keen to learn, and proactive by nature
• Open to and value feedback to improve
• Eligible to work in Austin without sponsorship

Nice to have:

• A PhD in Computer Science, Mathematics, or a related STEM field
• Experience in applying machine learning methods to real-world problems
• Familiarity with supervised ML, Time Series Forecasting, LLM chat, Computer Vision, Bayesian Learning, Causal Inference, Recommender Systems, Graphs and GNNs, Reinforcement Learning, Apache Spark
• Experience in software development

Benefits:

• Stock options in one of the fastest-growing European FinTechs
• Annual self-development budget
• Pet-friendly offices
• Salary of $114,000 per year plus RSUs
• Lots of team activities
• Paid 6-week sabbatical leave after four years