About the Role
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.
Responsibilities
- Help leading pharmaceutical, biotech, medtech, and healthcare organizations unlock value from data by designing and implementing Advanced Analytics, AI, and Generative AI solutions.
- Extract, process, and analyze complex structured and unstructured datasets across the Life Sciences value chain, including commercial, medical, patient, market, and R&D data.
- Develop, test, and deploy Machine Learning and Generative AI solutions that address critical business challenges and support data-driven decision making.
- 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.
- Translate business questions into analytical approaches and AI use cases, ensuring that results are robust, scalable, and aligned with real-world impact.
- Take ownership of workstreams, collaborate closely with client stakeholders, and communicate technical findings in a clear and business-relevant way.
- Present analyses, AI solutions, and strategic recommendations to client teams and senior executives.
- Contribute to the development of innovative offerings at the intersection of Data Science, Generative AI, and Life Sciences.
Requirements
- 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.
Skills
- Data Science
- AI
- Generative AI
- Advanced Analytics
- Machine Learning
- Large Language Models (LLMs)
- Python
- AWS
- Azure
- GCP
- SQL
- NoSQL
- Data Engineering
- ETL/ELT
Location
- Germany - Berlin
- Germany - Munich
Work Type
- Hybrid working
Experience Level
- 4-6 years
Education Level
- Bachelor's degree
- Master's degree
Benefits
- Hybrid working
- 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. simon-kucher.com
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.
