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Senior Data Scientist - Corporate Cash Management - Deutsche Bank
Data Scientist
Lead data‑driven transformation projects in Corporate Cash Management, applying advanced analytics, machine learning, and cloud technologies to optimize sales, processes, and product innovation.
About the role
Key Responsibilities
- Design, develop, and deploy predictive models and analytics solutions to support strategic initiatives in Corporate Cash Management.
- Collaborate with cross‑functional teams across the bank to translate business requirements into data‑science solutions.
- Implement end‑to‑end data pipelines using SQL, Python, and AWS services, ensuring data quality and scalability.
- Visualize insights and communicate findings to stakeholders through interactive dashboards and reports.
- Drive continuous improvement of data‑science workflows, tools, and best practices.
Requirements
- 5+ years of experience in data science or analytics within a financial services environment.
- Strong programming skills in Python and proficiency with machine‑learning libraries (scikit‑learn, TensorFlow, PyTorch).
- Expertise in SQL, data modeling, and experience with cloud platforms (AWS, S3, Redshift).
- Hands‑on experience building and deploying production‑grade models and dashboards.
- Excellent communication skills and ability to translate complex analytics into actionable business insights.
Skills
pythonmachine learningsqlaws