Job
- Level
- Senior
- Location
- Munich
- Working Model
- Hybrid, Onsite
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will develop advanced analytics and AI solutions, implement and operate these in cloud environments, and optimize existing data models within an interdisciplinary team.
Job Technologies
Your role in the team
- Technical ownership of development, production deployment and continuous improvement of advanced analytics, data science and AI solutions, from initial concept through to operational implementation.
- Develop high-quality, maintainable and production-ready code for analytics and machine learning solutions, applying fundamental software engineering principles such as modular design, automated testing, code reviews and technical documentation.
- Implement analytics and machine learning models, including deployment, monitoring and lifecycle management concepts in cloud environments, such as CI/CD, model versioning and performance monitoring.
- Collaborate closely with Data Science, Data Engineering, Platform, and Data Strategy & Management teams to integrate analytics solutions into existing system and operational landscapes.
- Evaluate and advance modern analytics, data science, AI and MLOps solutions, while actively promoting the use of AI in data science use case.
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Our expectations of you
Education
- University degree in computer science, data science, mathematics, physics, industrial engineering or comparable.
- A high degree of technical autonomy, a structured way of working, and experience collaborating with interdisciplinary teams, combined with excellent communication and presentation skills in German and English, and the motivation to actively advance Data Analytics and AI at TÜV SÜD.
Qualifications
- Sehr gutes Verständnis moderner Analytics- und KI-Methoden sowie der zugrunde liegenden Systemarchitekturen, insbesondere im Hinblick auf Model Serving, Daten- und Systemabhängigkeiten, Skalierbarkeit, Performance und nachhaltige Betriebsmodelle.
Experience
- At least five years of professional experience as a Data Scientist, AI Specialist or comparable, with clear focus on developing, deploying and operating analytics solutions in a corporate or consulting environment.
- Strong hands-on experience in deploying and operating analytics and machine learning solutions, particularly using cloud environments such as Microsoft Azure, CI/CD pipelines, MLOps approaches, monitoring and versioning.
- Excellent Python skills and good experience in developing production-ready, maintainable and tested code, including modular software architecture, version control, automated testing, code reviews and technical documentation.
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What we offer
- At TÜV SÜD Group, we have employees from more than 100 different countries collaborating together.
- People of different backgrounds, skills, and pursuing different life goals.
- Our strength comes from these countless and varied perspectives.
- We are committed to being an inclusive and diverse workplace by welcoming people of all backgrounds.
- We want Diversity & Inclusion (D&I) to be a foundation of our company and create an environment where all our employees can trust they will be treated with respect, regardless of gender, nationality, ethnic background, faith, beliefs, disabilities, age, sexual orientation, or identity.
- As such, our employees are expected to behave at all times in a manner consistent with TÜV SÜD Group Code of Ethics and Company values.
- We firmly believe that embedding D&I at the core of our activities will inherently contribute to the success of TÜV SÜD Group.
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Benefits
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
Prüfzentrum Altes Land Gruppe
The Prüfzentrum Altes Land Gruppe is a regional inspection and expert office specializing in motor vehicles. At its locations in Guderhandviertel and Buxtehude, the company provides support to customers with vehicle inspections, damage assessments, and claims processing.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Industry, Production
Senior Data Scientist
- Location
- Munich
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
