Long applicationsign-up on Oracle
Data Scientist
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Salary
≈ $13k – $32k per year (Estimated)
Location
In office (Noida)
Seniority
Middle · 3+ years exp
Confirmed on the employer's own hiring board on Oct 24, 2026. First seen by Alion on Jun 8, 2026. EXL scores B on the Alion truth index.
Overview
Company
Impact
Profile match
EXL, legally ExlService Holdings, is a data analytics, AI and digital operations company headquartered in New York that runs outsourced business processes and builds data and AI solutions for insurers, healthcare organisations, banks, media and retail companies. Founded in 1999 and listed on Nasdaq, it has more than 60,000 employees across six continents, with large delivery centers in Noida, Gurgaon, Pune, Bengaluru and Chennai and a newer AI hub in Dublin. It hires data scientists and data engineers, GenAI and MLOps engineers, analytics managers, solution consultants and client partners, plus talent acquisition, finance and medical coding staff.
- Experience with Programming (Python, SQL, NoSQL, Spark) and ML tools and cloud technologies (AWS, Azure, GCP).
- Deep understanding of ML algorithms for common use cases in both structured and unstructured data systems.
- Experience with GenAI/ LLM tools (3-6 years practitioner in data science): LangChain, RAG pipelines, Embeddings & vector databases, Multi-modal LLMs, Fine-tuning techniques ()
- Experience in building FastAPI-based services and Dockerized deployments
- Experience building production-grade GenAI solutions
- Familiarity with:
- Multi-agent architectures and orchestration
- Exposure to enterprise analytics / BI tools:
- Power BI, Tableau, or other visualization tools
- Experience collaborating with UI/UX teams for AI-driven solution delivery
- Experience with Programming (Python, SQL, NoSQL, Spark) and ML tools and cloud technologies (AWS, Azure, GCP).
- Deep understanding of ML algorithms for common use cases in both structured and unstructured data systems.
- Experience with GenAL/ LLM tools: LangChain, RAG pipelines, Embeddings & vector databases, Multi-modal LLMs, Fine-tuning techniques
- Experience in building FastAPI-based services and Dockerized deployments
- Experience building production-grade GenAI solutions
- Familiarity with:
- Multi-agent architectures and orchestration
- Exposure to enterprise analytics / BI tools:
- Power BI, Tableau, or other visualization tools
- Experience collaborating with UI/UX teams for AI-driven solution delivery
- Strong understanding of AI system evaluation, GenAI pipeline, AI application monitoring, and guardrails
- B.Tech / B.E. (Preferably from Tier-1 institutes)
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