Lead Data Scientist

ICICI Securities Limited; Navi Mumbai; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

ICICI Securities Limited is seeking a seasoned analytics and AI professional to design, build, and deploy statistical and machine learning models for the BFSI domain. You will own end-to-end model lifecycles, engineer features, validate models, and monitor performance while leveraging AWS AI services including Bedrock.

GenAI experimentation and cross-functional collaboration are key parts of the role. You will stay at the forefront of AI/ML advancements, mentor junior colleagues, and drive

Qualifications

• Experience in Analytics, Data Science, or AI, preferably within the BFSI domain.
• Educational background in Computer Science, Statistics, or Data Science.
• Strong programming experience in Python with proficiency in libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
• Hands-on experience with AWS AI stack (SageMaker, Bedrock, etc.).
• Sound understanding of machine learning algorithms, statistical modeling, and data handling techniques.
• Exposure to GenAI tools and frameworks and ability to explore new AI technologies.
• Strong analytical and problem-solving skills with an ability to translate data insights into business actions.
• Excellent communication, collaboration, and stakeholder management skills.
• Demonstrated aptitude for learning and being a team player in a dynamic, fast-paced environment.
• Prior experience working on AI-driven solutions in the BFSI sector.

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 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.

Skills

Analytics

Data Science

Python

AWS

GenAI

BFSI domain

Communication

Team player

Learning aptitude

Education

Computer Science

Statistics

Data Science

Tools

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

SageMaker

Bedrock

Job description

We are looking for a seasoned professional with deep expertise in analytics and AI, particularly within the BFSI domain. The ideal candidate will bring strong hands-on experience in Pythonbased statistical and machine learning model development, along with exposure to AWS AI stack and GenAI technologies.

This role requires a self-driven individual with the ability to explore, learn, and apply emerging AI technologies to solve complex business problems and enhance decision-making capabilities.

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.

Required Qualifications & Skills

• Experience in Analytics, Data Science, or AI, preferably within the BFSI domain.
• Educational background in Computer Science, Statistics, or Data Science.
• Strong programming experience in Python with proficiency in libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
• Hands-on experience with AWS AI stack (SageMaker, Bedrock, etc.).
• Sound understanding of machine learning algorithms, statistical modeling, and data handling techniques.
• Exposure to GenAI tools and frameworks and ability to explore new AI technologies.
• Strong analytical and problem-solving skills with an ability to translate data insights into business actions.
• Excellent communication, collaboration, and stakeholder management skills.
• Demonstrated aptitude for learning and being a team player in a dynamic, fast-paced environment.
• Prior experience working on AI-driven solutions in the BFSI sector.