Manager Data Science & (Gen)AI – Healthcare & Life Sciences (m/f/d)

In Germany - Berlin | Munich

Do you want to further develop your expertise in data science, with a strong focus on AI and Generative AI? Then you’ve come to the right place! Actively shape digital transformation and join our Healthcare & Life Sciences digital consulting team as a Manager Data Science (Gen)AI.

Our clients include global market leaders and innovation drivers in the pharmaceutical & biotech and healthcare industries. Be part of a dynamic team delivering digital growth by combining specialist knowledge in tech and data with creativity to deliver end-to-end projects with proven impact across industries. Help businesses build and adopt (Gen)AI solutions to be at the forefront and drive their growth agenda.

What Makes Us Special

• Advance your career with exciting professional opportunities in our thriving company with a startup feel.
• Add to your experience with our projects that focus on growth, have a positive impact, and truly matter.
• Voice your unique ideas in a corporate culture defined by our entrepreneurial spirit, openness, and integrity.
• Feel at home working with our helpful, enthusiastic colleagues who have great team spirit.
• Broaden your perspective with our extensive training curriculum and learning programs (e.g. LinkedIn Learning).
• Speak your mind in our holistic feedback and development processes (e.g. 360-degree feedback).
• Satisfy your need for adventure with our opportunities to live and work abroad in one of our many international offices.
• Enjoy our benefits, such as hybrid working, daycare allowance, corporate discounts, and wellbeing support (e.g. Headspace).
• Unwind in our break areas where you can help yourself to the healthy snacks and beverages provided.
• See another side of your coworkers at our frequent employee events and highly anticipated World Meeting and Holiday Party.

How You Will Create An Impact

• You will help leading pharmaceutical, biotech, medtech, and healthcare organizations unlock value from data by designing and implementing Advanced Analytics, AI, and Generative AI solutions.
• You will extract, process, and analyze complex structured and unstructured datasets across the Life Sciences value chain, including commercial, medical, patient, market, and R&D data.
• You will leverage your technical expertise to develop, test, and deploy Machine Learning and Generative AI solutions that address critical business challenges and support data-driven decision making.
• You will combine Advanced Analytics, Machine Learning, and Large Language Models (LLMs) to generate actionable insights, automate knowledge-intensive processes, and accelerate business outcomes for Life Sciences clients.
• You will translate business questions into analytical approaches and AI use cases, ensuring that results are robust, scalable, and aligned with real-world impact.
• You will take ownership of workstreams, collaborate closely with client stakeholders, and communicate technical findings in a clear and business-relevant way.
• You will present analyses, AI solutions, and strategic recommendations to client teams and senior executives.
• You will contribute to the development of innovative offerings at the intersection of Data Science, Generative AI, and Life Sciences.

About You

• Bachelor's or Master’s degree in Computer Science, Engineering, Economics, Bioinformatics, Life Sciences, or a related quantitative field.
• Fluency in German and English, with strong written and verbal communication skills in both languages.
• 4–6 years of experience in Data Science, Machine Learning, AI, or Advanced Analytics.
• Strong experience developing, deploying, and scaling Machine Learning models using Python or similar technologies.
• Solid understanding of AI and Machine Learning methodologies, including tree-based methods, Bayesian approaches, and modern Generative AI technologies.
• Hands‑on experience applying Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, or related GenAI frameworks to solve business challenges.
• Familiarity with cloud-based data and AI platforms (e.g., AWS, Azure, GCP) and their services for data storage, compute, automation, Machine Learning, and application deployment.
• Knowledge of relational, SQL, and NoSQL databases, as well as Data Engineering and ETL/ELT processes.
• Strong analytical and problem‑solving skills, with the ability to translate complex data into actionable business insights.
• Excellent communication and stakeholder management skills, with the ability to explain technical concepts to both technical and non‑technical audiences.
• Proactive, entrepreneurial, and collaborative mindset, with a passion for leveraging data and AI to solve complex business challenges.
• Experience in consulting is a strong plus.
• Experience in pharma, medtech or consumer health is a strong plus, including familiarity with industry data, business processes, and challenges across pricing, market access and commercial functions.