About Brillio:
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
Primary Skills
Problem Formulation (Business problem to Data Science Problem), OKR Validation against statistical measures, Data Wrangling, Data Storytelling & Insight Generation, Problem Solving, Excel VBA, Data Curiosity, Technical Decision Making (How many iterations to go for vs when to stop iterating), Communication & Articulation: Vocal & Written, Business Acumen (Consume new domains quickly to learn through data), Design Thinking, Data Literacy
Specialization
Data Science Foundation: Data Scientist
Job requirements
Senior Data Scientist
Key Skills
Strong proficiency in Python and SQL, ML, and GenAI pipelinesHands-on experience with GenAI / LLM-based systems (RAG, Fine Tuning, agents)Solid understanding of retrieval-augmented generation (RAG) architectures and vector databasesExperience applying ML algorithms (classification, regression, ensembles) on structured BFSI dataBFSI 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 systemsUnderstanding of data lineage, metadata, and traceability concepts in enterprise systemsExperience working on cloud-based data and AI platforms (AWS/Azure)Strong problem-solving, communication, and stakeholder-facing skills in client environmentsScope of Work / Responsibilities
Design and build end-to-end GenAI solutions for BFSI use cases (RAG, agents)Develop and optimize data ingestion, chunking, embedding, and retrieval pipelinesIntegrate domain and regulatory requirements into AI/ML solution designContribute to or implement data lineage-aware pipelines for traceability and audit readinessDevelop production-quality Python code and reusable AI/ML componentsPerform model, prompt, and retrieval evaluation, monitoring, and performance tuningSupport client interactions, solution walkthroughs, and technical documentationMentor junior data scientists and act as a technical owner for assigned AI/GenAI modules
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