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Salary
≈ $14k – $34k per year (Estimated)
Location
In office (Bengaluru)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 9, 2026. First seen by Alion on Oct 8, 2026. Merck Group scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Merck Group is a global science and technology company headquartered in Darmstadt, Germany. The company operates across three primary business sectors: Healthcare, Life Science, and Electronics, delivering innovative medicines, laboratory solutions, and advanced materials. Through its focus on research and technology, it advances medical treatments, supports biopharmaceutical production, and drives key innovations in semiconductor manufacturing worldwide.

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 unimageable with us.

Your Role:

The Health Care Data Engineering Team is responsible for designing, developing, testing, and supporting automated end-to-end data pipelines and applications on Health Care

  • Job Title: Junior Data Scientist - Generative AI
  • Experience Level: 0-2 years
  • Core Focus: Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and basic Agentic workflows [

Your Role:

  • Model Integration: Build and fine-tune text or data applications using or open-source APIs.
  • RAG Pipelines: Assist in creating search and retrieval systems that connect internal company databases to AI models.
  • Data Preparation: Clean, format, and preprocess large text or numerical datasets for model training.
  • Prompt Engineering: Test, evaluate, and optimize prompts to improve the accuracy and safety of AI outputs.
  • Collaboration: Work with senior data scientists and data engineers to move experimental code into production testing.
  • Required Qualifications
  • Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or Engineering.
  • Programming: Strong coding skills in Python and familiarity with libraries like Pandas, NumPy, and Scikit-Learn.
  • AI Knowledge: Foundational understanding of neural networks, Natural Language Processing (NLP), and transformer architectures.
  • Tools: Basic experience with Git, Docker, and using LLM application frameworks (LangGraph, OpenAI APIs).

What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We celebrate all dimensions of diversity and believe that it 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!

Apply now and become a part of our diverse team!

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