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).
- Solid 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”
📌 Data Science Analyst (Chennai)
🏢 Cushman & Wakefield
📍 Chennai
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