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Data Strategy Co-op - NY - College Program 2024

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Marsh McLennan

Mar 20

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • Data
  • New York City

Requirements

  • Pursuit of Masters or Bachelor’s degree in a technical field (computer science, data science or related quantitative field mathematics etc.) or a demonstrated ability to learn new software and analytical concepts quickly. Strong academic record in major and work experience is more important than the field of study.
  • Excellent verbal and writing skills for complex communications with Guy Carpenter colleagues at all levels of the organization
  • Exposure to technologies and programming languages such as Python, R, SQL, SKLearn, machine learning
  • What Makes You Stand Out:
  • · Prior experience with:
  • software best practices including DRY coding, unit & integration testing, documentation, etc.
  • modern containerized deployment technologies (Docker)
  • big-data processing technologies like Spark
  • developing in a modern, agile SDLC environment (dev/qc/prod environments with CI/CD, etc.)
  • using a cloud environment (AWS/GCP/Azure)
  • consuming REST APIs
  • Strong analytical skills and intellectual curiosity as demonstrated through academic experience or work assignments
  • Experience working in an Agile environment to facilitate the quick and effective fulfillment of group goals
  • Experience with risk evaluation modeling and/or building data products
  • Good interpersonal skills for establishing and maintaining good internal relationships, working well as part of a team and for presentations contribute to both technical and non-technical discussions
  • Strong emphasis on a desire to learn quickly and add value to team initiatives

Responsibilities

  • Develop, implement, and deploy custom data pipelines powering machine learning algorithms, insights generation, client benchmarking tools, business intelligence dashboards, reporting and new data products.
  • Leverage multiple large datasets to drive revenues via the development of new products with the Data Strategy team, as well as the enhanced delivery of existing products
  • Consume data from a variety of sources (relational DBs, APIs, NetApp and other cloud storage, FTPs) & formats (Excel, CSV, XML, parquet, unstructured))
  • Construct and maintain data pipelines between internal/external sources and the data lake and implement modern quality assurance practices including automated validation with frameworks like dbt or Great Expectations.
  • Participate in development standards across the team through code reviews, unit/integration testing, and monitoring
  • Perform exploratory data analysis and/or develop or enhance machine-learning models to support Data Strategy products.

Marsh McLennan

Marsh McLennan (NYSE: MMC) brings together 85,000 experts in risk, strategy and people.

Finance
Industry
10,001+
Employees
1905
Founded Year

Mission & Purpose

Marsh McLennan (NYSE: MMC) is the world’s leading professional services firm in the areas of risk, strategy and people. The Company’s more than 85,000 colleagues advise clients in 130 countries. With annual revenue of over $20 billion, Marsh McLennan helps clients navigate an increasingly dynamic and complex environment through four market-leading businesses. Marsh provides data driven risk advisory services and insurance solutions to commercial and consumer clients. Guy Carpenter develops advanced risk, reinsurance and capital strategies that help clients grow profitably and pursue emerging opportunities. Mercer delivers advice and technology-driven solutions that help organizations redefine the world of work, reshape retirement and investment outcomes, and unlock health and wellbeing for a changing workforce. Oliver Wyman serves as a critical strategic, economic and brand advisor to private sector and governmental clients.