Senior Data Scientist (f/m/d) at TÜV SÜD

TÜV SÜD; München; Hybrid; EUR 90,000 - 130,000; Full time

Job summary

TÜV SÜD in München is seeking a Senior Data Scientist (f/m/d) to own advanced analytics, AI solutions and their deployment in production. The role combines development, deployment and ongoing optimization within a cross-functional team.

You will deliver production-ready Python code, implement ML models with CI/CD and model monitoring, and collaborate with Data Science, Data Engineering, Platform, and Data Strategy teams to integrate analytics into our landscape.

Qualifications

• University degree in related field or comparable
• 5+ years of professional experience as Data Scientist/AI specialist
• Strong understanding of analytics and AI methods and scalable architectures
• Hands-on experience deploying analytics/ml solutions in cloud environments (Azure) with CI/CD and model monitoring
• Excellent Python skills and production-grade code development

Responsibilities

• Technical ownership of development, deployment and improvement of analytics/AI solutions from concept to production
• Develop high-quality, maintainable, production-ready code for analytics and ML solutions
• Deploy ML models including versioning, monitoring and lifecycle management in cloud environments
• Collaborate with Data Science, Data Engineering, Platform, and Data Strategy teams to integrate analytics into existing systems
• Evaluate and promote modern analytics/AI/MLOps solutions and AI usage in data science use cases

Skills

Python

ML/AI

Azure

CI/CD

MLOps

German & English

Education

University degree in computer science, data science, mathematics, physics, industrial engineering or comparable

Job description

Apply for Senior Data Scientist (f/m/d) at TÜV SÜD in München, BY, DE. This Full time on site position offers great opportunities for career growth. At TÜV SÜD Group we are passionate about technology. Innovations impact our daily lives in countless ways, and we are dedicated to being a part of that progress. We test, we audit, we inspect, we advise. We never stop challenging ourselves for the safety of society and its people. We breathe technology, we strive for professional excellence, and we leave a mark. We take the future into our hands. We are TÜV SÜD Group.

Tasks

• 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.

Qualification

• University degree in computer science, data science, mathematics, physics, industrial engineering or comparable.
• 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.
• Very good understanding of modern analytics and AI methods as well as the underlying system architectures, particularly regarding model serving, data and system dependencies, scalability, performance and sustainable operating models.
• 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.
• 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.

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 be 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 embedding D&I in the heart of what we do will inherently contribute to the success of TÜV SÜD Group.

Work Area: Digital, IT, IT Security & Safety Country/Region: Germany Job Location: München Working Model: Hybrid Employment Type: Full time / regular Company: TÜV SÜD Digital Service GmbH Org Unit Code: DIG-DAA-SOP