Data Science Manager

ICICI Securities Limited; Navi Mumbai; On-site; INR 3,000,000 - 5,400,000; Full time

Job summary

ICICI Securities Limited in India seeks a senior data science professional to design, develop, and deploy statistical and ML models addressing BFSI challenges.

You will own end-to-end model lifecycles, leverage AWS AI services including SageMaker and Bedrock, and explore GenAI tools to deliver scalable solutions. Mentor teammates and collaborate with cross-functional teams to drive analytics maturity.

Qualifications

• Educational background in Computer Science, Statistics, or Data Science.
• 9 to 13 years of experience in Analytics, Data Science, or AI, preferably within the BFSI domain.
• Strong programming experience in Python with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
• Hands-on experience with AWS AI stack (SageMaker, Bedrock, etc).
• Knowledge of GenAI tools and frameworks and ability to explore new AI technologies.
• Strong analytical and problem-solving skills with the 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.
• Experience with cloud-based model deployment and MLOps practices.

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.
• Demonstrate a patient, proactive approach to problem-solving and maintain high-quality results.

Job description

• 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

Qualifications:

• Educational background in Computer Science, Statistics, or Data Science.

Experience & Skills:

• 9 to13 years of experience in Analytics, Data Science, or AI, preferably within the BFSI domain
• Strong programming experience in Python with proficiency in libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTor
• 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 technologi
• 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
• Knowledge of LLM integration or prompt engineering for GenAI applications.
• Experience with cloud-based model deployment and MLOps practices