Data Analyst

Overview

Are you passionate about AI and eager to learn how it transforms real-world projects in pharma engineering? Do you thrive in a collaborative environment where you can experiment, ship, and grow fast? Then please continue reading!

What do we do at NNE?

We are experts in end-to-end pharma engineering, and we design and build pharma facilities that are essential for millions of patients all over the world. Our success is built on our relationships, both with our colleagues and our customers. If you are passionate about working for a noble cause on projects shaping the future of sustainable and intelligent pharma facilities, NNE is the place to be.

About The Role

We are looking for a curious and hands-on Data Analyst to join Department: Project Systems You’ll build and test AI features under guidance, help automate documentation and data workflows, and support the deployment of safe, reliable models and LLM-powered assistants used by engineers, CQV specialists, and project teams.

Location: Bengaluru (INDIA)

Experience: 0–3 years

How You Might Spend Your Days

As a Data Analyst, you’ll be:

• Prototyping and experimenting: Building small LLM apps and scripts (e.g., document summarisation, spec comparison, prompt libraries) and evaluating output quality.
• Supporting pipelines: Cleaning and transforming data; contributing to RAG pipelines (chunking, embeddings) and writing unit tests.
• Documentation & reproducibility: Maintaining notebooks, experiment logs, evaluation sets, and simple monitoring dashboards.
• Partnering with the business: Shadowing discovery sessions with engineering and quality teams; translating user needs into bite-sized AI tasks.
• Learning in production: Assisting with deployments, access controls, and safe-guardrails; fixing bugs and iterating based on user feedback.
• Contributing to enablement: Drafting how-to guides, prompt patterns, and internal wikis for reusability.
  
  
  

As a colleague, you:

• Are curious, proactive, and comfortable asking questions.
• Write clean, readable code and care about testing and version control.
• Communicate clearly and enjoy collaborating across disciplines.
• Are motivated by building things that people actually use.
• The miles you’ve walked (must-haves)
• Solid Python skills and familiarity with Jupyter/VS Code, Git, and package management.
• Understanding of ML fundamentals (train/validation/test, overfitting, metrics) and basic NLP concepts.
• Exposure to LLM APIs (e.g., Azure OpenAI/OpenAI), prompt engineering basics, and at least one of LangChain/LlamaIndex.
• Experience with pandas, NumPy, scikit-learn; ability to work with SQL or Parquet/CSV-based datasets.
• Willingness to learn Azure tooling and follow good engineering practices (code reviews, doc, testing).
  
  
  

• Coursework or projects in computer vision, information retrieval, or knowledge graphs.
• Familiarity with MLflow, Databricks, or basic cloud deployment concepts.
• Awareness of GxP/CSV principles and data integrity (ALCOA+).
  
  
  

• Work on meaningful, real-world problems with immediate user feedback.
• Collaboration-first culture with mentoring and clear growth paths.
• Flexibility and empowerment to learn, experiment, and ship value.
  
  
  

NNE is short for Novo Nordisk Engineering. And for all of us who work here, NNE means so much more. We are the epitome of a people business and, as such, we are dedicated to continuously developing our people. We recognise that a great onboarding experience is key. We therefore greet new colleagues with our award-nominated onboarding program and in-house talent programmes designed to keep our biggest asset—you—growing for the long run.

Did we spark your curiosity? If you’re ready to join our passion, let’s hear from you.

Deadline of application is 31st Dec 2025

Questions before applying? Please contact - Kumari at rkui@nne.com

At NNE, we commit to an inclusive recruitment process and equality of opportunity for all our job applicants. To maintain fairness, we request that you refrain from including a photo in your CV.

Please note we only accept applications submitted through our online recruitment system.

You do not need to attach a cover letter to your application, but please include a few sentences about why you are applying in your resume or CV.

We will invite to interviews on a running basis.

Learn more about us at www.nne.com/careers