5 data science jobs found in Frankfurt am Main

Date of first publication: 11/03/2026 Location : Germany Field of activity: Other Contract type: Permanent position Location of the position: Frankfurt am Main Company description ODDO BHF SE is one of Germany's leading independent private banks. Our clients are high-net-worth individuals, primarily medium-sized companies, and institutional investors. We are committed to providing professional and personalized advice. We expect our employees to embody this principle through their work and their personal qualities. Job description Tasks Strengthen the completeness and reliability of the Group's Data Catalog (Data Galaxy) by conducting in-depth analyzes of data systems, governance frameworks, and business usage across the organization Develop, maintain, and expand KPIs, dashboards, and steering materials to effectively communicate progress and insights to business units, management and data governance committees, enabling informed decision...

Introduction Join Avanade's Global Integrated Center of Excellence (ICOE) as a hands-on AI Application Architect, helping design intelligent, agentic, cloud-native applications. You will apply advanced AI techniques to accelerate every phase of the delivery lifecycle—from analysis and design to build, test, deploy, and operate—driving transformation across complex enterprise landscapes. Come join us As part of the Application & Infrastructure SME team within the ICOE, you will focus on modern application architecture while pioneering the use of agentic AI in real delivery scenarios. You will collaborate closely with Avanade Regions on both direct and indirect deals, supporting them during solving phases as well as during critical delivery phases. Whether modernizing legacy systems or building solutions from scratch, you will apply agentic AI to transform how projects are executed end-to-end. This is a unique opportunity to influence Avanade's architecture...

Daisytuner is building the software layer for the next generation of computing. We make complex software run efficiently on any processor from CPUs and GPUs to novel accelerators using a self-learning compiler and cloud-scale optimization infrastructure. Our team brings together researchers and engineers from RWTH Aachen, TU Munich, TU Darmstadt, and ETH Zurich to tackle some of the hardest problems in systems and infrastructure software. If you want to work on deeply technical challenges with real-world impact, join us and help shape the future of compute. As a Machine Learning Engineer at Daisytuner, you will work on machine learning challenges at the intersection of software, hardware, and performance. Your work will help us build intelligent systems that understand complex workloads and improve how software runs on modern processors. What you will be doing : Develop and improve deep learning models that support our core optimization and search systems Explore...