Data Scientist

Thermo Fisher Scientific UK

Bangalore, India
On-site
Python
Pyspark
AWS
Design, develop, and maintain scalable data pipelines and data processing solutions using Python, SQL, and PySpark in AWS environments

Job Summary

  • Design, develop, and maintain scalable data pipelines and data processing solutions using Python, SQL, and PySpark in AWS environments.
  • Build, train, evaluate, and deploy machine learning and AI models to solve business problems and improve decision-making.
  • Apply Generative AI (GenAI) techniques (e.g., LLMs, prompt engineering, embeddings) to develop innovative data products and automation solutions.

Matching Summary

Design, develop, and maintain scalable data pipelines and data processing solutions using Python, SQL, and PySpark in AWS environments.

Skills & Requirements

Must-have

  • Python
  • PySpark
  • AWS
  • Machine Learning
  • Generative AI
  • SQL
  • MLOps

Nice-to-have

  • Scalable data pipelines
  • Innovative data products
  • Cross-functional collaboration
  • Continuous learning

Key Requirements

  • 3–5 years of experience
  • Hands-on experience with AWS services
  • Experience with machine learning frameworks
  • Experience with Generative AI
  • Experience with version control (Git)

Work Rights

Not specified

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