Principal Data Scientist

Brillio
Bengaluru
Workplace: HybridFull timeFunction: Data Science & Machine LearningEducation: mastersSkills: ["Leadership","Communication","Stakeholder management","Mentorship","Data storytelling"]

The Principal Data Scientist will translate complex business problems into AI-driven, scalable solutions, leading Agentic AI and LLM initiatives. You will guide production-grade development, oversee data wrangling and feature engineering, and convert analytical results into clear business narratives for executives, while mentoring teams and influencing senior stakeholders in a fast-paced GenAI environment.

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FursaFursa
Brillio
Brillio
6 months ago

Principal Data Scientist

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Last checked: 8 hours agoStatus: Live

Job Summary

The Principal Data Scientist will translate complex business problems into AI-driven, scalable solutions, leading Agentic AI and LLM initiatives. You will guide production-grade development, oversee data wrangling and feature engineering, and convert analytical results into clear business narratives for executives, while mentoring teams and influencing senior stakeholders in a fast-paced GenAI environment.
Location: Bengaluru
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Problem Formulation: Translate business objectives into well-defined data science, ML, and Agentic AI problems; validate OKRs using robust statistical and experimental measures.
  • •Agentic AI & LLM Solutions: Design, build, deploy, and optimize Agentic AI systems (multi-agent workflows, task orchestration, autonomous decision-making) using LLMs for real-world enterprise use cases.
  • •LLM Development & Deployment: Fine-tune, prompt-engineer, evaluate, and productionize LLMs (open-source or proprietary) for use cases such as copilots, RAG pipelines, conversational AI, and intelligent automation.
  • •Data Wrangling & Feature Engineering: Handle structured and unstructured data at scale, including text, documents, and conversational data for LLM-powered solutions.
  • •Insight Generation & Data Storytelling: Convert complex analytical outputs and AI model results into clear, compelling narratives for business and executive audiences.

Key Requirements

  • •Problem Formulation: Translate business objectives into well-defined data science, ML, and Agentic AI problems; validate OKRs using robust statistical and experimental measures.
  • •Agentic AI & LLM Solutions: Design, build, deploy, and optimize Agentic AI systems (multi-agent workflows, task orchestration, autonomous decision-making) using LLMs for real-world enterprise use cases.
  • •LLM Development & Deployment: Fine-tune, prompt-engineer, evaluate, and productionize LLMs (open-source or proprietary) for use cases such as copilots, RAG pipelines, conversational AI, and intelligent automation.
  • •Data Wrangling & Feature Engineering: Handle structured and unstructured data at scale, including text, documents, and conversational data for LLM-powered solutions.
  • •Insight Generation & Data Storytelling: Convert complex analytical outputs and AI model results into clear, compelling narratives for business and executive audiences.
Experience:AIGenAIData Science
Education:Master's in Data Science, Computer Science, Statistics, Mathematics
Skills:LeadershipCommunicationStakeholder managementMentorshipData storytelling
Languages:English
Tech Stack:LangChainLangGraphLlamaIndexCrewAIAutoGenHugging FacePythonTensorFlowPyTorchScikit-learnAWSAzureGCPMLOpsLLMOps

Company Brief

Brillio
Provides digital transformation and IT consulting services, including cloud migration, analytics, digital engineering, and managed services to accelerate business outcomes for enterprises across industries.
Industry: Consulting
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Funding: Private Equity Backed
Headquarters: Santa Clara, United States
Founded: 2014
WebsiteLinkedIn