Head of Data Science

0 years

0 Lacs

Posted:18 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Key Responsibilities

Leadership & Strategy

  • Lead and mentor

    200–250+ member

    data science, ML engineering, and analytics organization
  • Define enterprise AI/ML vision, roadmap, and best practices
  • Drive AI adoption across products, platforms, and business units
  • Partner with CXOs, product heads, and business stakeholders

Hands-on AI / ML

  • Stay

    hands-on

    with model design, feature engineering, evaluation, and deployment
  • Build and review solutions involving:
  • Predictive & prescriptive analytics
  • NLP, Computer Vision, Deep Learning
  • MLOps and model lifecycle management
  • Ensure models are production-ready, scalable, and explainable

Databricks & Platform Engineering

  • Architect and implement AI/ML pipelines on

    Databricks (Spark, MLflow, Delta Lake)

  • Optimize large-scale data processing and model training
  • Collaborate with cloud and data engineering teams

Middleware & Integration

  • Work closely with

    middleware teams

    to:
  • Integrate ML services via APIs / microservices
  • Enable real-time & batch model consumption
  • Ensure secure, scalable communication between applications, data platforms, and AI services
  • Understand middleware tools (Kafka, API Gateways, ESB, message queues, etc.)

Healthcare / Insurance Focus

  • Apply AI to use cases such as:
  • Claims processing & fraud detection
  • Risk scoring & underwriting
  • Patient/member analytics
  • Operational optimization & compliance

Software Development Practices

  • Embed AI into

    enterprise software development lifecycle (SDLC)

  • Promote Agile, CI/CD, DevOps, and MLOps practices
  • Ensure high code quality, documentation, and governance

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