Data Scientist (m/f/d)

Your responsibilities

• Design, develop, test and validate machine learning models for data-driven and analytics-based applications and services.
• Perform data and pipeline analysis to identify issues, support stakeholders and enable better decision-making within AI solutions and the delivery team.
• Work closely with customers and interface partners to understand business challenges, advise on possible solutions and apply technical expertise to improve AI-supported processes.
• Explore new advanced data-driven solutions and assess their potential to improve models, processes and business outcomes.
• Ensure compliance with the bank’s AI governance framework and proactively manage ongoing activities for new guidelines.
• Use approved bank platforms and technologies, including cloud environments, in line with internal standards and governance requirements.
• Collaborate effectively in a cross-functional agile team across business, technology and operations.

About the project

In this role you will support a strategic Commerzbank initiative DocAI+, to scale operational efficiency across more than 40 automation use cases across the bank. As a Data Scientist/ AI engineer you will implement AI solutions for automatic processing of information from documents, for example data classification, extraction with the help of Google Document AI and other latest AI and agentic tools. To be successful at this role you need to know data science development cycle, be able to advise on end-to-end business processes, clearly communicate with stakeholders and manage their expectations.

As a part of Key Area Group Services Data the mission of the Document Lifecycle cluster is to transform the way documents are used in our organization from the ground up. We enable a paperless bank by providing globally consistent, reliable and compliant solutions for document generation, scanning, electronic transport, archiving and digital document processing. The cluster builds and operates the front-end and archive infrastructure required for efficient handling of bank and client documents and is responsible for a broad application landscape of more than 60 applications.