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

Simon-Kucher; Berlin; Hybrid; EUR 90.000 - 135.000; Vollzeit

Benefits dieser Stelle

Hybrid working

Daycare allowance

Corporate discounts

Wellbeing support (Headspace)

Zusammenfassung

Simon-Kucher is seeking a Manager Data Science (Gen)AI to lead AI‑driven projects in Berlin or Munich, delivering end‑to‑end analytics and GenAI solutions for Pharma and Healthcare clients.

You will design and deploy ML and GenAI models, extract and analyze diverse data, and collaborate with stakeholders to translate business questions into actionable insights, contributing to innovative offerings in data science and Life Sciences.

Qualifikationen

• Bachelor's or Master's degree in a quantitative field such as CS, engineering, economics, bioinformatics, or life sciences.
• Fluency in German and English with strong communication skills.
• 4–6 years of experience in Data Science, ML, AI, or Advanced Analytics.
• Strong experience deploying ML models using Python or similar tech.
• Solid understanding of AI methodologies including tree-based, Bayesian, and GenAI approaches.
• Hands-on experience with LLMs, RAG, AI agents, or GenAI frameworks.
• Familiarity with cloud data and AI platforms and databases (SQL/NoSQL).
• Excellent analytical and stakeholder management skills.

Aufgaben

• Lead design and deployment of Advanced Analytics, AI, and GenAI solutions for Life Sciences clients.
• Manage data extraction, processing, and analysis across structured and unstructured datasets.
• Develop, test, and scale ML and GenAI solutions addressing business challenges.
• Combine analytics, ML, and LLMs to generate actionable insights and automate processes.
• Translate business questions into robust analytical approaches and AI use cases.

Kenntnisse

Data Science

Machine Learning

Generative AI

Python

LLMs

Cloud platforms

SQL/NoSQL

Ausbildung

Bachelor's or Master's degree

Tools

AWS

Azure

GCP

Jobbeschreibung

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.