Data Scientist (m/f/d)

Technologies we use

Expected

• Python
• SQL

Optional

• Google Cloud Platform

Operating system

• Windows

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.

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.

Our requirements

• High knowledge of Python and SQL
• Machine Learning experience

Optional

• GCP knowledge
• Data Engineering and Data Quality experience
• Banking processes knowledge
• German language

Benefits

• Multisport
• Skills@Work - personal & professional development program
• Employee Assistance Program (psychological support)
• E-learning platform: O'Reilly, library, tutorials
• private medical care
• sharing the costs of professional training & courses
• life insurance
• remote work opportunities
• flexible working time
• integration events
• corporate sports team
• retirement pension plan
• preferential loans
• no dress code
• video games at work
• coffee / tea
• leisure zone
• pre-paid cards
• redeployment package
• employee referral program
• extra leave

Recruitment stages

• CV review
• Recruiter interview
• Hiring manager interview
• Offer extended

Commerzbank AG

Commerzbank is a leading international commercial bank with branches and offices in almost 50 countries. The world is changing, becoming digital, and so we are. We are leaving the traditional bank behind us and are choosing to move forward as a digital enterprise. This is exactly why we need talented people who will join us on this journey. We work in inter-locational and international teamwork in agile methodologies.

This is how we work