We are seeking a talented individual to join our Data Engineer team at Risk Consulting. This role will be based in Pune. This is a hybrid role that has a requirement of working at least three days a week in the office.
Senior Principal Engineer - Data Engineer
This position is for an individual contributor in Data Engineer team at Marsh UK Analytics solutions who will 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. This position consults with senior colleagues on complex financial and statistical analyses, and develops approaches for new, market-leading tools.
We will count on you to:
- Hands-onexpertisein Python, PySpark and other Data Engineering related packages.
- Expertise in data management queries.
- 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
- Hands-onexpertisein Databricks and its medallion architecture.
- 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 theclient’srisk areas and prepare a point of view for consulting.
What you need to have:
- Bachelor’s degree in engineering, Computer Science, Data Science, or related fields
- 4+ years of experience in the field of Data Engineering, Data Science, AIresearchor similar fields
- Ability to develop strong internal/externalclient-orientedsolutions
- Superior detail orientation, excellentcommunicationand interpersonal skills
- Hands-onexpertisein modern programming languages such as Python, PySpark and SQL
- Expertisein writing complex SQL queries.
- Understanding Risk modelling and inferential statistics.
- Knowledge of insurance contracts and risk business in general is a plus
What makes you stand out?
- Understanding of insurance and risk management
- Experience working with AI tools.
- Experience of building data visualization in MS-excel, Power BI.
Why join our team:
- We help you be your best through professional development opportunities, interesting work and supportive leaders.
- We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact on colleagues, clients and communities.
- Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.
Skills Required
- Bachelor's degree in engineering, Computer Science, Data Science, or a related field
- 4+ years of experience in Data Engineering, Data Science, AI research, or similar fields
- Ability to develop strong internal and external client-oriented solutions
- Superior attention to detail, communication, and interpersonal skills
- Hands-on expertise in Python, PySpark, SQL, and modern programming languages
- Expertise writing complex SQL queries
- Understanding of risk modeling and inferential statistics
- Understanding of insurance and risk management
- Experience working with AI tools
- Experience building data visualizations in Microsoft Excel and Power BI
- Knowledge of insurance contracts and risk business
Marsh McLennan Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Marsh McLennan and has not been reviewed or approved by Marsh McLennan.
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Leave & Time Off Breadth — Leave offerings are described as generous, including sizable PTO, paid holidays, paid sick days, and additional time off such as paid volunteer time and “Summer days.” These time-off benefits are portrayed as a standout part of the overall rewards package.
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Healthcare Strength — Healthcare coverage is characterized as comprehensive, spanning medical, dental, and vision options, with additional supports like disability and life insurance and access to mental health resources and an EAP. The breadth of plan options is positioned as a core strength of the benefits package.
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Retirement Support — Retirement benefits are framed as solid, with 401(k) programs and employer matching frequently highlighted alongside other financial programs. Stock purchase options are also referenced as an additional wealth-building component of the total rewards mix.
Marsh McLennan Insights
What We Do
Marsh McLennan (NYSE: MMC) brings together nearly 78,000 experts in risk, strategy, and people across Marsh, Guy Carpenter, Mercer, and Oliver Wyman, serving clients in over 130 countries. Marsh enables enterprise worldwide by helping clients manage risks, transforming uncertainty into opportunity. Guy Carpenter helps clients grow profitably with reinsurance broking expertise, advisory services, and advanced analytics. Mercer helps organizations advance the health, wealth, and careers of their most vital asset — their people. Oliver Wyman’s expertise in strategy, operations, risk, and organization transformation changes what is possible for our clients, their industries, and society. Together, we combine a unique range of capabilities to help our clients solve problems, seize opportunities, and build lasting success in increasingly complex operating environments.








