Lead/Sr. Lead Data Science & AI - R01549779

Bangalore, Karnataka, India
Data and AI – Data and AI : Data Science /
Employee /
Hybrid
Director, Data Science & AI

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: Senior Data Scientist

Job requirements

    • Mandatory skills
    • • LLM application development and fine-tuning
    • • Agentic AI frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel)
    • • RAG patterns and enterprise knowledge integration
    • • Prompt design, tool integration, and orchestration
    • Roles and Responsibilities
    • Key Responsibilities
    • Autonomous Task Execution: Initiate and complete multi-step tasks across platforms (e.g., CRM, ERP, cloud services).
    • Decision-Making: Analyze data and make informed decisions aligned with organizational goals.
    • Process Optimization: Identify inefficiencies and propose improvements using real-time analytics.
    • Knowledge Management: Research, synthesize, and present information to support strategic initiatives.
    • Customer Interaction: Engage with users via chat, email, or voice to resolve queries and escalate issues when necessary.
    • Learning & Adaptation: Continuously improve performance based on feedback and outcomes.
    • Compliance & Ethics: Operate within defined ethical, legal, and organizational boundaries.

    • 🧩 Required Capabilities
    • Natural Language Understanding and Generation
    • Autonomous Workflow Management
    • Integration with APIs, databases, and enterprise tools
    • Real-time analytics and decision-making
    • Reinforcement learning or feedback-based adaptation

    • 📚 Preferred Training Data / Knowledge Domains
    • Business operations (sales, marketing, HR, finance)
    • Customer service and support
    • Technical documentation and product knowledge
    • Organizational policies and compliance frameworks

    • 📈 Performance Metrics
    • Task completion rate and accuracy
    • Decision quality and impact
    • User satisfaction scores
    • Learning velocity and adaptability
    • Ethical compliance rate
₹0 - ₹0 a year
Not a Bar for right fit!!