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Lead - Data Science

ICICI Securities
Full Timelead
Navi Mumbai, Maharashtra, INPosted April 13, 2026

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Job Description

Department: Data Science Unit

Key Responsibilities

  • :Design, develop, and deploy statistical and machine learning models to address business challenges across the BFSI sector
  • .Work on end-to-end model lifecycle- data exploration, feature engineering, model building, validation, and performance monitoring
  • .Leverage AWS AI/ML services, including hands-on work within the AWS Bedrock ecosystem, to build and scale AI solutions
  • .Experiment with and adopt Generative AI (GenAI) tools and frameworks to create innovative applications and business solutions
  • .Collaborate with cross-functional teams to translate business needs into technical requirements and actionable insights
  • .Stay updated with advancements in AI/ML and contribute to the continuous improvement of analytics capabilities
  • .Mentor junior team members and foster a culture of data-driven innovation

.

Qualificatio

  • n:Educational background in Computer Science, Statistics, or Data Scienc

e.

Experience & Skil

  • ls:13 to18 years of experience in Analytics, Data Science, or AI, preferably within the BFSI doma
  • in.Strong programming experience in Python with proficiency in libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTor
  • ch.Hands-on experience with AWS AI stack (SageMaker, Bedrock, etc
  • .).Sound understanding of machine learning algorithms, statistical modeling, and data handling techniqu
  • es.Exposure to GenAI tools and frameworks and ability to explore new AI technologi
  • es.Strong analytical and problem-solving skills with an ability to translate data insights into business actio
  • ns.Excellent communication, collaboration, and stakeholder management skil
  • ls.Demonstrated aptitude for learning and being a team player in a dynamic, fast-paced environme
  • nt.Prior experience working on AI-driven solutions in the BFSI sect
  • or.Knowledge of LLM integration or prompt engineering for GenAI applicatio
  • ns.Experience with cloud-based model deployment and MLOps practi

ces

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