Job
In this role, you develop AI-driven applications and data science solutions to enhance customer service, work on proofs of concept in Azure, and implement data-driven approaches for fraud detection.
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Job technologies
Your role in the team
- As a Senior Data Scientist (m/f/d) in the Digitalization, Data & AI (DDK) department, you will play an active role in shaping the technological development of Customer Operations.
- Together with the IT technology teams, you develop proofs of concept (PoCs) as well as data science and AI applications that enable well-informed business decisions based on reliable data and modern analytical methods.
- The current focus is on building complex AI agent architectures for customer service, further developing digital processes, and establishing the modern data lakehouse in Azure Cloud required to support them.
- Another area of focus could be data- and AI-driven fraud detection.
- Development of data-driven solutions and AI applications for Customer Operations—from the initial idea through the PoC to production deployment.
- Development of AI agents to automate the handling of customer inquiries and support digital service processes.
- Development and evaluation of machine learning models and data science applications using Python and Databricks, as well as collaborating with IT to deploy them in production.
- Preparing data and developing data products for analytics, reporting, and visualization, as well as contributing to the development of the Azure Data Lakehouse.
- Use of CI/CD pipelines and Azure services to automate the deployment and ongoing development of applications.
- Taking on subject-matter responsibility as a senior team member for technical solutions, reviews, and quality standards, while mentoring junior colleagues and trainees.
- Translating requirements into viable solutions in collaboration with business departments and IT’s data and technology teams.
- Optional additional focus area: Fraud Detection – developing data- and AI-driven methods to identify fraud cases and suspicious patterns.
Our expectations of you
Education
- Degree in statistics, mathematics, physics, or (business) informatics, or vocational training with a focus on mathematics and quantitative methods.
Qualifications
- Fluent German, both spoken and written.
- Very good knowledge of Python.
- Strong quantitative skills, ideally with knowledge of statistics, data analysis, and machine learning.
- A collaborative, appreciative approach to work, driven by enthusiasm and team spirit.
- A variety of educational and career paths are welcome—even if your profile doesn’t meet all the requirements.
Experience
- Several years of experience as a Data Scientist, Data Engineer, or Machine Learning Engineer.
- Experience in subject-matter project leadership in the field of data science, and a passion for sharing knowledge with junior colleagues and trainees.
- Experience with Microsoft Azure and Databricks is desirable.
- Experience with generative AI and AI agents is an advantage.
What we offer
- Remote work is a matter of course for us, as is the fact that most of our team is on-site at our modern offices in Frankfurt am Main.
- We create the conditions that enable you to reach your full potential.
- We also welcome a wide range of educational backgrounds and work experience.
- We’re open to candidates whose CV may not seem to match all the requirements in our job posting at first glance.
- We provide the right conditions for you to fully realize your individual potential.
Benefits
Work-Life-Integration
Health, fitness & fun
Food & drink
Topics you will work on
Job locations
About your employer
Union Investment ist der Experte für Fondsvermögensverwaltung in der Genossenschaftlichen FinanzGruppe und einer der größten deutschen Anbieter von Investmentfonds. Unser Anspruch ist, privaten wie institutionellen Anlegern die bestmöglichen Lösungen zu bieten.
- Established Company
- Onsite, Hybrid
- Banking, Finance, Insurance
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