Data Jobs in Offenbach am Main

In this role, you will enhance voice and chatbots, analyze performance data, and implement new features to optimize customer service with the help of AI and automation.

In this role, you will develop governance architectures for AI applications, advise on compliance issues, and create documentation on data integrity and AI governance based on regulatory requirements.

In this role, you will develop ETL pipelines, integrate source systems, and optimize data processes for Data Analytics, Machine Learning, and AI applications while ensuring data quality and deploying APIs.

In this role, you will support the implementation of Data Governance frameworks and policies, manage data quality requirements, and drive remediation actions to ensure data integrity and compliance.

In this role, you will develop analytical solutions and dashboards using tools like Tableau, design data platform architectures, and serve as a point of contact for data inquiries and analyses in agile projects.

In this role, you design robust and scalable data pipelines, implement ETL processes, and optimize the data landscape to support financial products while collaborating closely with stakeholders.

In this role, you develop AI and innovation strategies, manage digitalization projects, analyze new technologies, and implement concrete measures for the use of AI within the DFB.

In this role, you will design solutions in the AI and Data Science field, develop MLOps processes, prepare data, and implement models for our client projects, focusing on Python, SQL, and modern technologies like Azure and AWS.

In this role, you will develop scalable backend systems and integrate Generative AI into business applications while creating APIs and data platforms, along with designing multi-step agentic solutions.

You develop analyses to enhance the relevance and accuracy of the Reaxys search engine, perform complex data analyses using SQL and Python/Java, and generate actionable recommendations for stakeholders.

In this role, you will develop ETL processes, maintain the data infrastructure, and build efficient data models to create a scalable foundation for analytics and machine learning models.

In this role, you will develop data pipelines, integrate new data sources, and closely collaborate with a Data Scientist to create AI-driven solutions for investment teams and promote the application of AI within the firm.

In this role, you will be responsible for the further development and maintenance of the Data Lake, conducting data analyses and developing AI applications to automate banking processes.

In this role, you will manage production AI and ML solutions in cloud environments, monitor system performance, and implement enhancements using Python.

In this role, you will develop transaction monitoring methods, enhance existing models, and collaborate closely with Anti-Financial-Crime units to identify financial risks.