Senior Principal Engineer - Data Engineering

Posted Yesterday
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Bay, Laguna, Calabarzon, PHL
In-Office
Senior level
Fintech • HR Tech • Insurance • Consulting
The Role
Develop and maintain complex data pipelines, APIs, statistical models, and advanced analytics solutions for commercial insurance and risk consulting. Use Python, PySpark, SQL, Databricks, AI, machine learning, and predictive modeling to produce data-backed consulting outputs and support new product development. The role also involves researching client risk areas, preparing recommendations, and consulting with senior colleagues on financial and statistical analyses.
Summary Generated by Built In
Company:Marsh Risk

Description:

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.

Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow us on LinkedIn and X.

Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.

Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

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.

  • 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.
  • 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.
  • 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.

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The Company
HQ: New York, NY
78,000 Employees
Year Founded: 1871

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.

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