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

Manager Data Science (Gen)AI – Berlin / Munich, Germany

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.

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.