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Data Scientist Analyst (Top-tier Bank, 80k)

salary Salary :

$65,000 - 960,000 monthly

Job Description - Data Scientist Analyst (Top-tier Bank, 80k)

  • Min. 3 years of LLM, Machine Learning
  • Top-tier Global Bank, 1 year renewable contract
About Our Client

This opportunity is with a large organization operating in the financial services industry. The company is well-established and known for its focus on innovation and delivering high-quality services to its clients.

Job Description
  • Define, refine, and maintain ontology structures (nodes, relationships, schemas) in collaboration with business stakeholders and subject matter experts (SMEs).
  • Validate the accuracy and quality of data extracted from unstructured policy documents, ensuring alignment with business intent and regulatory standards.
  • Perform manual and automated testing on knowledge graph structures to identify inconsistencies, redundancies, and logical errors.
  • Serve as the key liaison between technical teams (Data Scientists/Engineers) and business stakeholders (Compliance, Risk, Operations).
  • Translate technical constraints and data models into clear business requirements, and vice versa.
  • Document data lineage, business rules, and data mapping requirements for ingestion processes.
  • Develop and execute test plans for query languages (e.g., SPARQL, Cypher) to ensure accuracy and performance.
  • Analyze query results to confirm consistency with source policy documents.
  • Lead and coordinate User Acceptance Testing (UAT), incorporating SME feedback to continuously improve graph models and query functionality.
The Successful Applicant
  • Minimum 3 years of experience as a Technical Business Analyst, Data Analyst, or related role, preferably within financial services.
  • Strong understanding of knowledge graph concepts, including ontologies, RDF/OWL, and property graphs.
  • Proficiency in query languages such as SPARQL, Cypher, or SQL.
  • Ability to interpret technical documentation, including data models and schemas.
  • Experience analyzing and troubleshooting outputs from LLM-based data extraction processes.
  • Knowledge of banking or financial policy documentation is highly preferred.
  • Excellent communication skills with the ability to simplify complex technical concepts for non-technical stakeholders.
  • Hands-on experience with graph database tools such as Protégé, GraphDB, Neo4j, or similar platforms.
  • Strong analytical and problem-solving skills with a focus on data quality, integrity, and regulatory compliance.
  • Ability to facilitate collaboration across technical and business teams with differing perspectives.
What's on Offer
  • Competitive monthly salary
  • Opportunity to work in a temporary position within a large organization.
  • Exposure to innovative projects in the financial services industry.
  • Collaborative and professional work environment.
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