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Tasks

• Design and implement end-to-end data solutions from data preparation to model development and production readiness
• Develop, maintain, and optimise scalable data pipelines and ML workflows
• Collaborate with cross-functional teams to integrate data science models into production environments
• Contribute to building and enhancing MLOps pipelines
• Apply advanced analytics in the area of customer analytics within a banking context
• Ensure high-quality, reliable, and maintainable data solutions aligned with project goals

Requirements

• Completed degree in Computer Science, Data Science, Engineering, Mathematics, or a related field
• Minimum of 8 years of professional experience as a Data Scientist, ideally within the banking or financial services sector
• Strong combined expertise in Data Science and Data Engineering, with end-to-end capabilities from data preparation to model development and deployment readiness
• Proven experience in developing and implementing MLOps pipelines
• Experience working with modern data and machine learning tools such as Dagster, dbt, and Feast is highly desirable
• Solid understanding of customer analytics and data-driven decision-making
• Professional proficiency in English is required; German is considered a strong plus
• Ability and willingness to work in an international nearshore setup based in Romania
• Availability to start between July 20, 2026 and August 3, 2026
• Willingness to travel to Zurich approximately every two months for 2–3 days (planned in advance)

Soft Skills

• Strong analytical thinking and problem-solving abilities
• Excellent communication and stakeholder management skills
• Proactive, self-driven, and collaborative mindset