
10,000+ employees
🚘 Automotive
🏗️ Construction
💼 Consulting
Automotive • Construction • Consulting
ALTEN is a leader in outsourced Engineering and R&D and IT Services, catering to various industries such as aeronautics, automotive, banking, and life sciences. With a workforce of over 57,400 employees across nearly 30 countries, ALTEN specializes in executing complex and technical projects, supporting innovation and technology advancements in multiple sectors. The company focuses on providing engineering services, project management, and IT solutions to enhance client operations and foster sustainable innovation.
🔥 3 minutes ago
🗣️🇩🇪 German Required
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10,000+ employees
🚘 Automotive
🏗️ Construction
💼 Consulting
Automotive • Construction • Consulting
ALTEN is a leader in outsourced Engineering and R&D and IT Services, catering to various industries such as aeronautics, automotive, banking, and life sciences. With a workforce of over 57,400 employees across nearly 30 countries, ALTEN specializes in executing complex and technical projects, supporting innovation and technology advancements in multiple sectors. The company focuses on providing engineering services, project management, and IT solutions to enhance client operations and foster sustainable innovation.
• Develop and implement machine learning and AI models to analyze biological, clinical, or technical data • Build and maintain data pipelines (ETL, integration, and transformation) • Leverage modern big data technologies to automate processes • Collaborate with interdisciplinary teams across R&D, IT, Regulatory Affairs, and Quality Assurance • Support validation, documentation, and compliance activities in a GxP environment • Conduct exploratory data analyses to identify patterns, trends, and optimization opportunities • Present findings and derive data-driven recommendations for action
• University degree in Data Science, Computer Science, Bioinformatics, Mathematics, Physics, Chemistry, or Engineering • Experience developing ML models, data pipelines, and analytical applications • Proficiency in Python, R, SQL, TensorFlow, PyTorch, Scikit-learn, or comparable tools • Experience with cloud platforms (AWS, Azure, GCP) and data engineering tools (e.g., Spark, Airflow, Docker) • At least three years of professional experience in a regulated environment (pharmaceutical, biotech, or medical technology) • Fluent German and English, both written and spoken
• Talent Management – we support your career development • Work-life balance – flexible working hours and mobile working options • Stay fit and relaxed with EGYM Wellpass • Enjoy cycling with company bike leasing • Green mobility – travel at reduced rates with us • IT Communities – knowledge sharing, professional development, and networking with colleagues • Permanent employment contract • Corporate benefits • Team events
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