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About the Role

Actively shape digital transformation and join our Healthcare & Life Sciences digital consulting team as a Director Data Science (Gen)AI. Help businesses build and adopt (Gen)AI solutions to be at the forefront and drive their growth agenda.

Responsibilities

• Lead the design and delivery of (Gen)AI solutions for Life Sciences clients, translating complex business challenges into scalable analytics and decision-support solutions.
• 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.
• 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.
• Act as a trusted advisor to senior client stakeholders, solving complex analytical challenges and providing actionable, data-driven recommendations.
• Collaborate closely with business and technology teams to translate strategic AI priorities into scalable and impactful solutions.
• Build strong client relationships and a deep understanding of Life Sciences market dynamics, helping clients unlock growth and innovation through AI.
• Lead and mentor multidisciplinary teams while contributing to business development, proposal shaping, and thought leadership in AI and Life Sciences.
• Stay at the forefront of AI and Life Sciences innovation, translating emerging technologies into tangible value for clients.

Requirements

• 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.
• Outstanding degree in a quantitative discipline.
• Strong analytical thinking.
• Excellent communication skills.
• Pragmatic, results-oriented mindset.
• 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.
• Strong understanding of the AI ecosystem and its application to Life Sciences use cases across pricing, market access and commercial domains.
• Proficient in Python and modern AI/ML frameworks.
• Experience developing, deploying, and scaling end-to-end AI solutions in cloud environments.
• Understanding of MLOps/LLMOps, data engineering, and data architecture principles, enabling the ability to build robust, scalable, and production-ready AI systems.
• Understanding of data architecture and data engineering principles, enabling effective work with large-scale, complex datasets and production systems.
• Ability to bridge business needs and technical implementation, translating complex challenges into practical, high-impact solutions.
• Experience leading and mentoring technical teams while effectively engaging with both technical and senior business stakeholders.

Skills

• Data Science
• AI
• Generative AI
• Machine Learning
• LLMs
• Embeddings
• Prompt Engineering
• Fine-tuning
• Agentic AI systems
• Python
• AI/ML frameworks
• MLOps
• LLMOps
• Data Engineering
• Data Architecture

Location

• Berlin, Germany
• München, Germany

Work Type

• Full-time

Experience Level

• Director
• 6-10+ years

Education Level

• Outstanding degree in a quantitative discipline

Benefits

• Daycare allowance
• Corporate discounts
• Wellbeing support (e.g. Headspace)
• Healthy snacks and beverages

About the Company

• Simon-Kucher is a global consultancy with more than 2,200 employees in 30+ countries.
• As a trusted commercial advisor focused on unlocking better growth, we combine deep consulting expertise, growth specialization, and technology to scale lasting impact.
• We optimize every lever of commercial strategy – product, pricing, innovation, marketing, and sales – based on what customers want and value.
• With over 40 years of monetization experience, we are recognized as the world’s leading commercial growth and pricing specialist.

Equal Opportunity

• We believe in building a culture that embraces diversity, equity, and inclusion, creating an environment in which our people feel valued, are able to be themselves and feel their contribution matters.
• If we get that right, remarkable things will happen; people will grow faster, innovate, feel valued, and create better outcomes for everyone – our people, our clients and, of course, our business.