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full-time
Listing 30+ days old

Data Scientist - Knowledge Graph | Pune

Wissen Technology

Wissen Technology is a technology services firm that provides software solutions to clients across sectors. The Data Scientist – Knowledge Graph role in Pune will focus on designing, building, and maintaining knowledge‑graph structures that capture entities and relationships from diverse data sources. Day‑to‑day tasks are likely to include extracting and cleaning data, applying natural‑language‑processing techniques to identify entities, constructing graph schemas, using graph‑database platforms such as Neo4j or Amazon Neptune, and developing machine‑learning models that leverage graph embeddings for recommendation, search or analytics. The candidate will work with cross‑functional teams to translate business requirements into graph‑based representations, evaluate model performance, and iterate on data pipelines. The position suits candidates with a strong background in data science, experience in graph theory or knowledge‑graph projects, proficiency in Python or R, familiarity with NLP and ML libraries, and the ability to communicate findings to technical and non‑technical stakeholders.

data scientistknowledge graphgraph databasemachine learningnatural language processingdata engineeringpunefull-time

Education

  • Batch: 2026
  • Level: Bachelor's degree
2-5 yrs experience

Key Skills

Python

Experience required

2-5 years experience
0 yrs10+ yrs

Data Scientist - Knowledge Graph | Pune at Wissen Technology 4 recruiters Posted by Meghana Shinde

Skills for this role

Required skills

Also mentioned in the listing

data scientistknowledge graphgraph databasemachine learningnatural language processingdata engineeringpunefull-time
RoleData Scientist - Knowledge Graph | Pune
CompanyWissen Technology
CompensationNot disclosed
DeadlineRolling

Typical process for this type of role

A general guide — the exact steps for this specific listing may vary; check the original posting for details.

  1. 1ApplicationSubmit your resume through the apply link.
  2. 2ScreeningRecruiter reviews your background against the role.
  3. 3AssessmentA technical test, assignment, or coding round, depending on the role.
  4. 4Interview(s)One or more rounds with the hiring team.
  5. 5OfferOffer letter with compensation and start date.

Before you apply

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