Director Data Science (Gen)AI - Healthcare & Life Sciences (m/f/d)

Director 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 Director 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).
• Enjoy our benefits, such as 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 lead the design and delivery of (Gen)AI solutions for Life Sciences clients, translating complex business challenges into scalable analytics and decision-support solutions.
• You take charge of multiple (Gen)AI and data science projects, leading project teams, ensuring high-quality execution, measurable business impact, and successful implementation at scale.
• You help clients develop innovative (Gen)AI solutions ranging from advanced analytics over GenAI custom builds to agentic applications in Pricing, Market Access and Commercial functions.
• You act as a trusted advisor to senior client stakeholders, solving complex analytical challenges and providing actionable, data-driven recommendations.
• You collaborate closely with business and technology teams to translate strategic AI priorities into scalable and impactful.
• You build strong client relationships and a deep understanding of Life Sciences market dynamics, helping clients unlock growth and innovation through AI.
• You lead and mentor multidisciplinary teams while contributing to business development, proposal shaping, and thought leadership in AI and Life Sciences.
• You stay at the forefront of AI and Life Sciences innovation, translating emerging technologies into tangible value for clients.

About you:

• You have 6–10+ years of experience in data science, machine learning, or AI, with a proven track record of delivering impactful solutions in consulting or industry, ideally within Life Sciences.
• You hold an outstanding degree in a quantitative discipline and combine strong analytical thinking, excellent communication skills, and a pragmatic, results-oriented mindset.
• You bring hands-on expertise in GenAI technologies, including LLMs, embeddings, prompt engineering, fine-tuning, and agentic AI systems, with the ability to translate them into real-world business applications.
• You have a strong understanding of the AI ecosystem and its application to Life Sciences use cases across pricing, market access and commercial domains.
• You are proficient in Python and modern AI/ML frameworks and have experience developing, deploying, and scaling end-to-end AI solutions in cloud environments.
• You understand MLOps/LLMOps, data engineering, and data architecture principles, enabling you to build robust, scalable, and production-ready AI systems.
• You understand data architecture and data engineering principles, enabling you to work effectively with large-scale, complex datasets and production systems.
• You excel at bridging business needs and technical implementation, translating complex challenges into practical, high-impact solutions.
• You have experience leading and mentoring technical teams while effectively engaging with both technical and senior business stakeholders.