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Data Scientist – R01569584

Pune, Maharashtra, India · Employee · Compensation not disclosed by employer

Category
AI & Data Engineering
Skills
See official employer job description
Experience
Mid
Openings
1
Apply by
October 18, 2026
Data Scientist – Snowflake + Agentic AI / Cortex AI

Primary Skills

     

    We are looking for an experienced Data Scientist with strong expertise in Snowflake and hands-on exposure to Agentic AI / Snowflake Cortex AI to join our team.

    🔹 Experience: 5+ years
    🔹 Location: Bangalore / Hyderabad / Pune
    🔹 Notice Period: Immediate to 30 days preferred

     Key Skills

    • Strong experience in Data Science, Python & SQL
    • Hands-on experience with Snowflake
    • Experience with Snowpark and Snowflake data platforms
    • Exposure to Snowflake Cortex AI – Cortex Analyst, Cortex Search, Cortex Agents, etc.
    • Strong understanding of Generative AI, LLMs, RAG and Prompt Engineering
    • Experience with Agentic AI / AI Agents
    • Knowledge of Vector Search, Embeddings and LLM integration
    • Experience with ML algorithms, model development and deployment
    • Experience integrating AI/ML solutions with enterprise data platforms
    •  

Job requirements

  • What We’re Looking For

    Candidates who have worked on production-grade Data Science + GenAI/Agentic AI solutions and can leverage Snowflake/Cortex capabilities to build intelligent data-driven applications.

Responsibilities

• Lead end-to-end execution of projects and cross-functional deliverables for Data Scientist - R01569584.
• Collaborate closely with departmental peers and stakeholders to ensure seamless operational continuity.
• Monitor core performance KPIs, troubleshoot bottlenecks, and implement optimization protocols.
• Champion high quality standards, peer reviews, and comprehensive team documentation.

Candidate Skill Fit Analysis

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Required competencies and technical background for this position:

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Estimated In-Hand Salary

New Tax Regime (AY 2026–27)

Indicative estimate using standard assumptions for EPF, professional tax and Section 87A. Actual payroll, benefits and deductions vary by employer and individual.

₹1,200,000
Monthly In-Hand ₹--
Annual Take-Home ₹--
Standard Deduction: ₹75,000 / yr
Employee PF (EPF): ₹-- / mo
Estimated Income Tax: ₹-- / mo

Compensation Market Benchmark

Competitive Band

Estimated industry distribution for AI & Data Engineering roles in Pune, Maharashtra, India:

25th Pct (Entry): ₹7.5L Median (Market Avg): ₹15L 75th Pct (Top Tier): ₹22L+
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