Design and implement analytics, AI and generative AI solutions for life sciences clients
Extract and analyze complex structured and unstructured life sciences data
Develop, test and deploy machine learning and generative AI solutions
Take ownership of workstreams and work closely with client stakeholders
Present analyses, AI solutions and strategic recommendations to client executives
From the employer’s posting
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
develop, test, and deploy Machine Learning and Generative AI solutions
take ownership of workstreams, collaborate closely with client stakeholders
present analyses, AI solutions, and strategic recommendations to client teams and senior executives
Tools in this posting
Python
SQL
AWS
Azure
GCP
NoSQL
Source — Tool mentions in context
Strong experience developing, deploying, and scaling Machine Learning models using Python or similar technologies.
Knowledge of relational, SQL, and NoSQL databases, as well as Data Engineering and ETL/ELT processes.
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.
Open 4 monthsWe first saw this posting 120 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
Status in our records
Live
First seen by us
Jul 1, 2026 · 120 days ago
Recorded sightings
225
Last seen by us
Oct 29, 2026
Jul 1, 2026today
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
Have your resume and examples of relevant work ready.
Check the listed location, eligibility and core experience before starting.
Ask the employer about the pay range before committing time to the process.
Complete your application on simon-kucher.csod.com. The employer’s form will show what is required.
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. Have we sparked your interest? Simply click the 'Apply now' button to submit your application. Please note that, for data protection reasons, we cannot accept applications via email. Would you like to learn more about us and our company culture? Click here to watch our Recruitment Video. About Simon-Kucher 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 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. Your personal contact: Charlotte Sever recruitment.germany(at)simon-kucher.com Better growth starts here. With you.