Dvp Data Science Ai Mumbai

IndiaFirst Life · Mumbai City

  • Experience0–4 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Posted29 Sept 2026
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About IndiaFirst Life

IndiaFirst Life is hiring in Mumbai City in insurance. This role looks for around 0+ years of experience.

Skills

  • machine learning
  • predictive analytics
  • natural language processing
  • computer vision
  • recommendation systems
  • TensorFlow
  • PyTorch
  • scikit-learn
  • Generative AI
  • foundation models
  • data science
  • analytics
  • cloud architecture
  • GCP
  • AWS
  • Microsoft Azure
  • Vertex AI
  • Amazon SageMaker
  • Azure Machine Learning
  • CI/CD

The role

A data science and AI leader at an insurance company designs predictive analytics, natural language processing, and computer vision solutions using TensorFlow, PyTorch, and scikit-learn. The role architects cloud-native AI and data platforms with Generative AI and GCP, guiding analytics delivery and enterprise AI strategy.

Full job description

AI & Machine Learning

Design, develop, and implement machine learning models for predictive analytics, natural language processing (NLP), computer vision, or recommendation systems.

Lead end-to-end AI project lifecycles, including validation, productionization, and optimization using frameworks such as TensorFlow, PyTorch, and scikit-learn.

Stay updated with the latest advancements in Generative AI and foundation models, evaluating and integrating them as needed.

Partner with cross-functional teams to identify AI use cases and deliver measurable business value.

Data Science & Analytics

Lead the end-to-end analytics lifecycle, from data exploration to actionable insights and product development.

Collaborate with data engineers and analysts to build impactful solutions that drive business outcomes.

Leadership & Strategy

Mentor and guide junior team members, fostering their qualified growth.

Contribute to the enterprise AI and cloud strategy, including roadmap planning and vision setting.

Cloud Architecture & Engineering

Architect and design cloud-native AI and data platforms on GCP (preferred), AWS, or Azure.

Optimize data pipelines and machine learning workflows using services like Vertex AI, SageMaker, or Azure ML.

Ensure scalable, secure, and cost-productive architectures with robust CI/CD pipelines in cloud environments. .