Senior Principal Engineer - Data Engineering

Overview

An individual contributor role in the Data Engineer team at Marsh UK Analytics solutions, developing AI, machine learning, predictive modeling and NLP techniques applied to commercial insurance and risk management.

What you'll do

• Develop and implement leading-edge techniques in artificial intelligence, machine learning, predictive modeling, and natural language processing as applied in commercial insurance and risk management.
• Consult with senior colleagues on complex financial and statistical analyses, and develop approaches for new, market-leading tools.
• Build and maintain complex data pipelines through various data systems to drive optimization and implement business strategies.
• Deploy API on the platform by understanding the technical ask.
• Develop statistical custom data models and algorithms from scratch to enhance current value proposition and new product development.
• Use advanced analytics to augment consulting deliverables with data backed outputs.
• Conduct research on the client's risk areas and prepare a point of view for consulting.

What you'll need

• Hands-on expertise in Python, PySpark and other Data Engineering related packages.
• Expertise in data management queries.
• Hands-on expertise in Databricks and its medallion architecture.
• Bachelor's degree in engineering, Computer Science, Data Science, or related fields.
• 4+ years of experience in the field of Data Engineering, Data Science, AI research or similar fields.
• Ability to develop strong internal/external client-oriented solutions.
• Superior detail orientation, excellent communication and interpersonal skills.
• Hands-on expertise in modern programming languages such as Python, PySpark and SQL.
• Expertise in writing complex SQL queries.
• Understanding of risk modelling and inferential statistics.

Nice to have

• Knowledge of insurance contracts and risk business in general.
• Understanding of insurance and risk management.
• Experience working with AI tools.
• Experience of building data visualization in MS-Excel, Power BI.

Details

• Location: Pune (Business Bay).
• Hybrid role: working at least three days a week in the office, with at least one anchor day per week for office-based teams.