🛠 Tech Stack

💼 About This Role

You'll work on data science projects in the Pricing team, developing predictive models and analytics to support strategic decisions. You'll translate business problems into quantitative models and ensure model performance in production. This role offers the opportunity to impact a leading digital bank's pricing strategy.

🎯 What You'll Do

• Develop, validate, and maintain predictive and analytical models
• Translate business problems into hypotheses and quantitative models
• Perform exploratory data analysis and feature engineering
• Evaluate model performance, stability, and bias
• Document models clearly and auditably

📋 Requirements

• Degree in Statistics, Computer Science, Economics, or related fields
• Solid experience with predictive modeling and applied statistics
• Proficiency in Python and SQL
• Strong data manipulation and model validation skills

✨ Nice to Have

• Experience in pricing or financial sector
• Knowledge of AWS cloud platforms
• MLOps concepts and deployment experience

🎁 Benefits & Perks

• 🍽️ Meal and food vouchers
• 🏥 Health and dental insurance
• 🎂 Birthday day off
• 👶 Extended parental leave
• 💪 Wellhub and running group

📨 Hiring Process

Estimated timeline: 4-6 weeks

1. 1Resume screening· 1 week
2. 2Screening call· 30 min
3. 3Assessments· 1 week
4. 4Interview with Talent team· 1 hour
5. 5Technical test· 1 week
6. 6Interview with leadership· 1 hour