Sr. Data Scientist (178321)

Requisition ID 178321 - Posted

Job Description: Data Scientist - ICICI Lombard
About ICICI Lombard: ICICI Lombard is a leading insurance company known for its digital prowess and innovative use of technology. The company embraces digital transformation and employs cutting-edge technologies such as AI, ML, and big data analytics to provide exceptional insurance experiences. By investing in advanced digital platforms and tools, ICICI Lombard simplifies insurance processes, facilitates customer interactions, and offers user-friendly mobile apps and web portals for policy purchase, claims filing, and self-service options.
ICICI Lombard remains at the forefront of the digital landscape by actively exploring emerging technologies to unlock new possibilities in the insurance industry. By harnessing data and analytics, the company develops personalized insurance solutions and effectively manages risks. Internally, ICICI Lombard optimizes operations, automates processes, and encourages collaboration through a tech-driven approach.
With its unwavering commitment to digital innovation and technological advancements, ICICI Lombard is poised to transform the insurance industry and redefine insurance service delivery, establishing itself as a digital insurance leader.
About the Role – We are seeking a seasoned Data Scientist to join our dynamic Data Science & Analytics team in Mumbai. In this role, you will lead the end-to-end development and deployment of data-driven solutions, from problem definition to production monitoring. You will leverage your strong foundation in statistics, machine learning, and Generative AI to drive significant business impact and mentor junior team members. This is an opportunity to work on complex, real-world problems in a fast-paced, collaborative environment.
Band
TBD
Experience

Vertical
Data Science and Analytics
Location
Mumbai (Prabhadevi)
Reporting to

Responsibilities-
 End-to-End Project Leadership: Take ownership of data science projects, from initial research and experimentation to scalable deployment, monitoring, and ongoing optimization.
 Model Development: Design, build, and optimize advanced statistical and machine learning models to solve complex business problems.
 LLM & Generative AI: Research and implement innovative LLM/GenAI solutions, including advanced prompt engineering, Retrieval-Augmented Generation (RAG) frameworks, and parameter-efficient fine-tuning for specific business needs.
 Cross-functional Collaboration: Partner with product, engineering, and business stakeholders to translate complex challenges into actionable data science solutions and communicate findings effectively to technical and non-technical audiences.
 Infrastructure & Deployment: Work with data engineering teams to design scalable data models and robust, automated ML pipelines using MLOps best practices and cloud services (AWS/GCP/Azure).  Performance Monitoring: Implement monitoring frameworks to track and enhance the performance of deployed models.
Educational Qualifications – Engineering Graduate (Full time)
Competencies Required –
 Machine Learning & Statistics:
o Strong foundation in supervised & unsupervised ML algorithms, evaluation metrics, and feature engineering.
o Practical experience with hands-on modelling and experimentation.
 LLM & Generative AI:
o Conceptual and practical understanding of LLM architecture, prompt engineering, RAG, parameter fine-tuning, and LLM evaluation/monitoring.
o Exposure to vector databases
o Executed at least 1 impactful LLM/GenAI implementation in real-world settings.
 Programming:
o Proficiency in Python, R, and SQL for model development and data analytics.
 Deployment & Automation:
o Experience with cloud platforms (AWS/GCP/Azure)
o API integration and orchestration for scalable solutions.
Practical experience with MLOps tools like MLflow, Docker, or Kubernetes for CI/CD pipelines.
Experience - 2 to 6 years
Skills Required:
Skills
Proficiency Level
Basic
Advance
Expert
Data Science
Yes
RAG
Yes
LLM
Yes
Gen AI
Yes
Python
Yes
Statistical Modelling
Yes
Machine Learning
Yes
Behaviour Required –
OneIL1Team -
 Growth Mind-set
 Team Player
 Adaptability