Lead Data Scientist - Ontology & Architecture

Intellibus

Intellibus, a leader in platform engineering, is on the lookout for a Lead Data Scientist who is passionate about ontology design and data architecture. The role exists to advance the company’s initiatives in solving the Multiplicity Problem while ensuring semantic consistency across financial technology systems. The team has a track record of supporting significant projects like app conversions, vital for the financial trading industry. Joining this team means collaborating closely with leading FinTech firms.

In this role you can expect to have the responsibilities:

• Develop and maintain ontologies, taxonomies, and data models for structured data access.
• Implement semantic technologies such as RDF, OWL, and SPARQL.
• Collaborate with stakeholders to ensure data standardization and consistency.
• Manage metadata to support data usability for various projects.
• Design data models that enhance AI and ML algorithm effectiveness.

This role comes with the following benefits:

• Working with reputable FinTech firms.
• Opportunities for professional growth in a leading platform engineering team.

This role requires you to have:

• Bachelor’s or Master’s degree in related fields.
• 8+ years in data management with focus on ontology and semantic technologies.
• Proficiency in RDF, OWL, and SPARQL.
• Experience with knowledge graph technologies.

You would benefit from having:

• Understanding of ML and AI concepts.
• Advanced proficiency in MS Office, particularly Excel and PowerPoint.
• Strong analytical and problem-solving skills.
• Ability to collaborate across teams.

Candidates must have experience in the financial services or consulting industry. The team utilizes tools such as AWS, Jenkins, and CI/CD pipelines.