Position: Senior Data Scientist (Graph DB) for world's biggest reinsurance provider
Company: Intellias
Experience required: 3y
English level: upper

Project Description
Corporate Knowledge Graph is a semantic data asset linking insurance-relevant information appearing in various systems and data products – to be used for data-driven business use-cases.

**Responsibilities**
Translate business use-case requirements to actionable data-based solution designs.
Understand from business use-case owner(s) the ontology of core underwriting and claims management business.
Implement graph ML algorithms to summarize entity-relationships, deduplicate entities based on multi-modal characteristics, and perform predictive analytics.
MLOps: Implement a model management concept, scalable model storage and inference architecture.

**Requirements:**
Strong machine learning experience with special focus on unsupervised methods
At least some experience with state-of-the-art embeddings methods, such as BERT, Random Walks or Autoencoders.
Experience with graph databases, e.g. Neo4J, Tigergraph or Stardog.
MLOps experience
Python
SCRUM experience
Excellent communication skills