Marsh McLennanposted 5 months ago
Full-time - Intern
New York, NY
1,001-5,000 employees
Insurance Carriers and Related Activities

About the position

The Data Strategy Co-op role at Guy Carpenter offers an opportunity to engage in data-centric projects within a leading risk management and reinsurance firm. This position allows students to gain hands-on experience in software engineering and data manipulation while contributing to the design and analysis of innovative data solutions. The role involves collaboration with various internal teams to enhance data processes and support the development of new data products.

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.

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.

Nice-to-haves

  • 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/Google Cloud Platform/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.

Benefits

  • Health and welfare benefits
  • Tuition assistance
  • 401K
  • Employee assistance program
  • Domestic partnership benefits
  • Career mobility
  • Employee network groups
  • Volunteer opportunities
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