Data Scientist

This role is for one of the Weekday's clients

Salary range: Rs 5000000 - Rs 5500000 (ie INR 50 - 55 LPA)

Min Experience: 13+ years

Location: Bengaluru

JobType: full-time

The Principal Data Scientist will play a critical role in translating complex business problems into scalable, AI-driven solutions. This role demands strong leadership, deep expertise in Agentic AI, Large Language Models (LLMs), and advanced analytics, along with the ability to influence senior stakeholders and drive measurable business outcomes.

Requirements

Core 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
Technical Decision-Making: Make informed trade-offs on model complexity, iteration depth, experimentation cycles, and time-to-value
Design Thinking & Innovation: Apply design thinking principles to build user-centric AI products and data solutions
Mentorship & Leadership: Coach senior data scientists, review architectures, and establish best practices across data science, ML, and GenAI initiatives

Key Qualifications - Technical Expertise

Principal Data Scientist with strong hands-on experience in LLMs and Agentic AI
Proven experience in deploying, fine-tuning, and operationalizing LLMs in at least one real-world, production-grade project
Hands-on expertise in Agentic AI frameworks and patterns, such as multi-agent systems, autonomous workflows, tool-using agents, and human-in-the-loop architectures
14-18 years of experience in Data Science, Machine Learning, Advanced Analytics, or AI, with at least 5 years in a technical leadership role
Proficiency in Python (mandatory); exposure to R or Scala is a plus
Strong foundation in machine learning, deep learning, NLP, and statistical modeling
Experience with LLM ecosystems and frameworks (e.g., LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, Hugging Face)
Expertise in cloud platforms (AWS, Azure, or GCP), big data technologies, and MLOps / LLMOps (model monitoring, versioning, CI/CD, cost optimization)
Hands-on experience with TensorFlow, PyTorch, Scikit-learn, and related ML frameworks
Strong understanding of Responsible AI, model governance, explainability, and risk management, especially for GenAI solutions

Leadership & Communication

Proven ability to lead, inspire, and scale high-performing data science and AI teams
Exceptional communication and storytelling skills, with the ability to influence senior leadership and business stakeholders
Demonstrated experience mentoring, coaching, and upskilling data scientists and ML engineers
Strong business acumen with the ability to quickly understand new domains and apply AI effectively

Education

Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field

Critical Leadership Qualities

Customer Advocacy: Drives customer success by anticipating both stated and unstated business needs using AI-led, market-leading solutions
Owner's Mindset: Demonstrates deep ownership of outcomes and makes decisions aligned with our long-term success
Innovation Ethos: Embraces ambiguity, experiments relentlessly, and challenges the status quo—especially in GenAI and Agentic AI adoption
Execution with Pace: Delivers high-quality, production-ready AI solutions in fast-changing environments
Big Picture Thinking: Aligns AI, data, and business strategy to create shared success and ambitious growth targets
Winning Through Teams: Builds a collaborative culture that empowers teams to excel and innovate together

Must-have Skills

LLM, Agentic AI

Good-to-have Skills

LLM Ops/ML Ops, Multiagent

Data Scientist

Key Skills

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