Senior Data Scientist - R01559352

BrillioEdison, NJ
36d$120,000 - $130,000

About The Position

Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction. Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year. Senior Data Scientist

Requirements

  • Strong proficiency in Python and SQL, ML, and GenAI pipelines
  • Hands-on experience with GenAI / LLM-based systems (RAG, Fine Tuning, agents)
  • Solid understanding of retrieval-augmented generation (RAG) architectures and vector databases
  • Experience applying ML algorithms (classification, regression, ensembles) on structured BFSI data
  • BFSI domain knowledge (banking, risk, fraud, compliance etc)
  • Experience with LLM platforms and APIs (OpenAI, Azure OpenAI, AWS Bedrock, etc.)
  • Ability to design prompt strategies, guardrails, and evaluation metrics for GenAI systems
  • Understanding of data lineage, metadata, and traceability concepts in enterprise systems
  • Experience working on cloud-based data and AI platforms (AWS/Azure)
  • Strong problem-solving, communication, and stakeholder-facing skills in client environments

Responsibilities

  • Design and build end-to-end GenAI solutions for BFSI use cases (RAG, agents)
  • Develop and optimize data ingestion, chunking, embedding, and retrieval pipelines
  • Integrate domain and regulatory requirements into AI/ML solution design
  • Contribute to or implement data lineage-aware pipelines for traceability and audit readiness
  • Develop production-quality Python code and reusable AI/ML components
  • Perform model, prompt, and retrieval evaluation, monitoring, and performance tuning
  • Support client interactions, solution walkthroughs, and technical documentation
  • Mentor junior data scientists and act as a technical owner for assigned AI/GenAI modules

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

No Education Listed

Number of Employees

5,001-10,000 employees

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