Graduate Data Scientist

About the Role

Wise is a global technology company dedicated to making the world's money move and be managed efficiently. We are looking for a Graduate Data Scientist to help us scale our impact and improve customer convenience and trust.

Key Responsibilities

• Help scale Wise to impact hundreds of millions more customers.
• Work directly on customer-impacting projects to prioritize product improvements.
• Participate in building industry-proven machine learning based solutions.
• Experiment with state-of-the-art algorithms.
• Create a vision for your work with team collaboration and autonomy.
• Gather feedback from colleagues across Wise.
• Inspire teams with ideas, knowledge, and a self-starting attitude.

In Your First 6 Months

• Onboard in the Austin office and understand your team and tribe's vision.
• Understand Wise Products and the problems your team is solving.
• Learn how Data Science operates at Wise, including different team functions (Marketing, Treasury, Fraud).
• Understand the tech culture, Tech Stack details, and development processes within autonomous teams.
• Participate in two quarterly plan cycles and propose ideas.

Requirements & Tech Stack

• Graduating in 2027 or have graduated in 2026 with a Bachelors or Masters degree in Computer Science, Mathematics, or another STEM subject.
• Ability to start a full-time graduate job on September 6, 2027.
• Knowledge of Computer Science and Machine Learning fundamentals.
• Proficiency in Python and SQL.
• Solid foundation in Probability and Statistics fundamentals (e.g., Hypothesis Testing, probability distributions, Statistical Inference).
• A self-started side project(s) you are proud to discuss.
• Curious, keen to learn, and proactive.
• Open to and value feedback for improvement.
• Eligible to work in Austin without sponsorship.

Additional Desired Qualifications

• 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
• Supervised LLM chat and workflow automation
• Computer Vision
• Bayesian Learning
• Causal Inference
• Recommender Systems
• Graphs and GNNs
• Reinforcement Learning
• Familiarity with Apache Spark or other distributed processing frameworks.
• Experience in software development.

What You Get Back (Austin)

• Stock options in a fast-growing European FinTech.
• An annual self-development budget.
• Pet-friendly offices.
• Salary of $114,000 per year plus RSUs.
• Team activities.
• A paid 6-week sabbatical leave after four years.