Your Role
As a Data Scientist focused on risk modelling, you will be responsible for building, improving and monitoring scoring models used to assess customer creditworthiness across our markets. You’ll work closely with business, analytics and engineering teams to translate data into critical decisions.
What You Will Be Doing
- Develop and implement application and behavioral risk‑scoring models
- Perform feature engineering to improve predictive power and model performance
- Analyze data to identify trends and opportunities to improve scoring logic
- Collaborate with developers and business analysts to integrate models into production systems
- Monitor and analyze model performance in production and iterate for improvement
Who You Are
- Independent and proactive — you take ownership of problems and drive solutions
- Analytical thinker — you enjoy working with complex data and turning it into actionable insight
- Effective communicator — you can clearly explain models and outcomes to non‑technical stakeholders
- Curious and impact‑driven — you want your models to make a real difference
Your Experience
- 3+ years in Data Science with hands‑on experience building scoring models
- Deep knowledge of machine learning and statistical modeling techniques
- Strong Python skills (Pandas, Scikit‑learn, TensorFlow, PyTorch)
- Proficiency in feature engineering and model selection
- Strong SQL skills and experience working with large datasets
- Experience communicating with cross‑functional teams including non‑technical partners
What We Are Offering
- Competitive salary is negotiable depending on the candidate's level
- Share options
- We are still a start‑up and more benefits are on the way
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