Goglobal Trainee Data

Work Your Magic with us

Ready to explore, break barriers, and discover more? We know you’ve got big plans - so do we Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.

**Trainee GOglobal - Data & AI Program Merck Group - 2 Years Program (All Genders)**

Start of the Program: September 2025

Work Location: Bangalore, India + an international assignment at our headquarter in Darmstadt, Germany

Department: Merck Data & AI Organization

**Growth & Development & Experience**

A career at our company is an ongoing journey of discovery: our 60,000 people are shaping how the world lives, works and plays through next generation advancements in Healthcare, Life Science and Electronics. For more than 350 years and across the world we have passionately pursued our curiosity to find novel and vibrant ways of enhancing the lives of others. To achieve this, we simplify and reduce complexity where we see it, we take accountability to deliver with impact, and we are curious and challenge the status quo, these are all key attributes of our High Impact Culture The Global Graduate Program is the company’s career accelerator for high potential graduates who are early in their careers.

**Your Role**

During this 24-months program you will be taking an active part in our data & AI-driven, innovative, customers’ and patients’-oriented organization. Potential assignments vary from learning about the groupwide strategic approach and technological backbone in the Merck Data & AI Organization, to contributing to data science and engineering projects within one of our Sector Data Offices or playing an active part in developing and managing products within the business.

As Data & AI GOglobal Trainee you are the driver for your personal development and can decide on your target role: Do you prefer to become a data scientist and support our business with your machine learning and statistics expertise? Would you like to utilize your expertise in machine learning and data analysis as an ML engineer, or do you prefer to record and implement requirements as a product owner? Whichever role you choose, you will support our teams to deliver data & AI projects and products to solve business problems.

During your assignments
- You will learn about the Group’s Data & AI Strategy, Data Culture, Data Governance and support our products and projects in the Merck Data & AI Organization
- You will expand your network globally by meeting many other data & AI enthusiasts across Merck

During this program we will develop your personal and professional growth and provide you with great networking opportunities to continuously improve your data & AI skills and business acumen. In addition to your assignment managers who guide you within your rotations, you will be supported by a mentor.

**Who you are**:

- Master’s degree or PhD in Data Science, Computer Science, Mathematics, (Industrial) Engineering, Computational Chemistry, Physics or a similar field
- Programming experience is mandatory, e.g. with Python, R, Matlab, Java, C++
- Prior experience with Palantir Foundry or AWS (e.g. EC2, Sagemaker, S3) is beneficial
- Ideally two data & AI related internships & first international experience
- Strong interest in AI, machine learning, data engineering and analysis
- A strong verbal and written communicator, with fluency in English (other languages are a plus)
- Strong analytical skills, ability to think outside the box and a pragmatic way of working
- Ability to work with people from various backgrounds/cultures
- Comfortable reporting results to both technical and non-technical audiences
- Strong interpersonal skills with the desire to share knowledge and skills

**What we offer**: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress