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Cushman & Wakefield

Data Science Analyst

Cushman & Wakefield · Chennai, Tamil Nadu, India

Real Estate · 10,001+ employees

18 h ago
Junior (0-2 yrs) Full-time India
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About the role

Build, test, and iterate on AI-powered applications using large language models and generative AI workflows. Collaborate with cross-functional teams to translate business requirements into production-ready technical solutions.

What they look for

Python SQL Large Language Models Generative AI APIs Prompt Engineering Embeddings RAG Git Data Analysis Databricks AWS Azure GCP MLOps

Requirements

Requires 0-3 years of experience in Data Science or Generative AI with strong programming skills in Python and SQL. Familiarity with LLMs, APIs, and version control systems like Git is essential for this role.

Full description

Job Title

Data Science AnalystJob Description Summary

Job Description

Job Description (JD): Data Science Analyst About the Role

We're looking for a Data Science Analyst to help build and deploy AI-powered solutions and workflows. You'll work alongside senior Data Scientists and data teams to turn generative AI capabilities into practical, production-ready solutions. This role suits someone early in their career who is eager to learn, experiment, and ship. Your focus would be on building Solutions/Products/PoCs providing Analytical Insights What You'll Do

  • Build, test, and iterate on applications powered by large language models (LLMs) and other generative AI models.
  • Develop prompts, pipelines, and integrations that connect AI models to internal data and systems.
  • Support the deployment and monitoring of AI solutions and help troubleshoot issues.
  • Collaborate with cross-functional teams to translate business needs into technical solutions.
  • Stay current with evolving tools, frameworks, and best practices in the generative AI space.

What We're Looking For

  • 0–3 years of experience in Data Science or Generative AI (recent graduates are also welcome).
  • Solid programming skills, ideally in Python.
  • Data Analysis skills using SQL
  • Familiarity with LLMs and generative AI concepts (APIs, prompting, embeddings, RAG).
  • Understanding of data handling, APIs, and version control (e.g., Git).
  • Strong problem-solving skills and a willingness to learn quickly.

Nice to Have

  • Prior hands-on experience with Databricks.
  • Exposure to cloud platforms (AWS, Azure, or GCP).
  • Experience with MLOps or deploying models to production.

 

 

 

INCO: “Cushman & Wakefield”