Internship

Data Strategy Analytics Engineering Co-op

College Program 2025

Confirmed live in the last 24 hours

Marsh & McLennan

Marsh & McLennan

Compensation Overview

$30/hr

Company Does Not Provide H1B Sponsorship

New York, NY, USA

Candidates are expected to be in the office at least three days a week.

Category
Data Science
Data Engineering
Data & Analytics
Required Skills
Scikit-learn
Python
R
SQL
Machine Learning
Data Analysis
Excel/Numbers/Sheets
Requirements
  • Pursuit of Masters or Bachelor’s degree in a technical field (statistics, computer science, data science or related quantitative field) or a demonstrated ability to learn new analytical concepts quickly. Strong academic record in major and 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, Scikit-Learn, machine learning.
Responsibilities
  • Perform exploratory data analysis, develop or enhance machine-learning models to support Data Strategy products, and provide conclusions and recommendations that show a high level of critical thinking.
  • Assist in the collection, cleaning, and analysis of large datasets related to reinsurance operations.
  • Collaborate with cross-functional teams to gather requirements and understand product needs.
  • Develop and generate reports and dashboards to communicate findings to stakeholders.
  • Participate in product testing and data validation to ensure accuracy and reliability of analytics solutions.
  • 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.
Desired Qualifications
  • Prior experience with:
  • 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
  • Software best practices including DRY coding, unit & integration testing, documentation, etc.
  • 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
  • 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

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