Senior Data Scientist/Lead Data Scientist- GenAI+DE
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Job Description
Job Title : Senior Data Scientist/Lead Data Scientist- GenAI+DE
Location : Chennai, Bangalore, Hyderabad
Who We Are
Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.
Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.
We are a Great Place to Work-Certified™ (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine
Curious about the role? What your typical day would look like?
We are looking for a highly motivated and strategic technology professional who is eager to learn and quickly adapt to emerging tools and frameworks. The ideal candidate should be capable of leading small teams and driving high-impact client engagements.
Key Responsibilities
- Lead a small team to deliver client solutions, rapid prototypes, PoCs, and PoVs.
- Demonstrate strong expertise in Python (must-have) with hands-on experience building scalable, optimized applications using open-source libraries.
- Own and manage end-to-end data engineering workflows, including: Designing and maintaining automated data pipelines (ingestion, processing, optimization). Data modeling and structuring. Ensuring data quality and governance. Managing operational reliability and performance.
Technical Requirements
- Hands-on experience with at least one major cloud/platform ecosystem (mandatory): AWS, GCP, Azure, Databricks, or Snowflake.
- Strong experience in Generative AI, including: Hands-on work with LLMs, prompt engineering techniques, and Retrieval-Augmented Generation (RAG). Building and implementing agentic AI solution frameworks. Advanced usage of AI copilots. Familiarity with AgentOps practices. Exposure to cloud-specific GenAI ecosystems.
You are important to us, let’s stay connected!
Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.
Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.
Additional Benefits: Health insurance (self & family), virtual wellness platform, and knowledge communities
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