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Data Scientist (Ontology Engineering & Knowledge Graphs)

enGen Globalmulti, Telangana, IndiaPosted 20 May 2026

This Data Scientist role at enGen Global focuses on building ontology engineering and knowledge graph solutions within the US healthcare domain. The hire will design semantic models, deploy GCP-native graph pipelines, and leverage statistical modeling for healthcare insights. Candidates must have a Master's degree, 5+ years of experience, and proficiency in RDF, OWL, and Python. The position operates in a hybrid capacity from Chennai or Hyderabad.

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Experience

5-12 years

Function

Research

Work mode

Hybrid, India

Company

Tier 2

What you will work on

This Data Scientist role at enGen Global focuses on building ontology engineering and knowledge graph solutions within the US healthcare domain. The hire will design semantic models, deploy GCP-native graph pipelines, and leverage statistical modeling for healthcare insights. Candidates must have a Master's degree, 5+ years of experience, and proficiency in RDF, OWL, and Python. The position operates in a hybrid capacity from Chennai or Hyderabad.

TAL's take

Quality 60/1005/5 clarityTier 2 company

Niche specialized domain and stack in healthcare industry within a mid-tier firm.

Very clear and specific role definition focused on ontology and knowledge graphs within healthcare.

Must haves

  • Master's degree in Data Science or related field
  • 5+ years of experience in data science
  • Expertise in ontology engineering and knowledge graphs
  • Hands-on experience with GCP-native technologies
  • Experience in US Healthcare payer or provider environments
  • Strong programming skills in Python

Tools and skills

ontology engineeringknowledge graphsgcpsemantic data modelingowlrdfrdfssparqlpython

Nice to have: neo4j, stardog, fhir, icd, cpt, snomed.

About the company

unfamiliar company, default mid-tier.

Posts mentioning enGen Global

Anyone got any insights on Enzen global solutions in Bangalore

I used to work at that company, left because the salary was delayed every month and then they just stopped paying it

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