Data Strategy Co-op - New York - College Program 2026

Overview

On Site
Full Time

Skills

Risk Management
Design Analysis
Streaming
Acquisition
Storage
Monetization
Software Engineering
Data Manipulation
Data Collection
Benchmarking
Business Intelligence
Dashboard
Revenue Growth
Relational Databases
Cloud Storage
NetApp
FTP
Servers
Microsoft Excel
Computerized System Validation
XML
Apache Parquet
Unstructured Data
Data Lake
Quality Assurance
Team Building
Testing
Continuous Monitoring
Workflow
Data Analysis
Machine Learning (ML)
Decision-making
Computer Science
Data Science
Mathematics
Communication
Programming Languages
Python
SQL
Integration Testing
Documentation
Docker
Big Data
Apache Spark
Software Development Methodology
Continuous Integration
Continuous Delivery
Quality Control
Cloud Computing
Amazon Web Services
Google Cloud Platform
Google Cloud
Microsoft Azure
Analytical Skill
Agile
Evaluation
Modeling
Performance Management
Project Management
Preventive Maintenance
SAP BASIS
Recruiting
Digital Video
MMC
Reinsurance
LinkedIn
AIM
Law
Collaboration
Professional Development

Job Details

Company:
Guy Carpenter

Description:

We are seeking a talented individual to join our Data Strategy team at Guy Carpenter. This role will be based in New York, NY. This is a hybrid role that has a requirement of working at least three days a week in the office. Our co-op program is full time (~40 hour commitment per week) and runs from January to June 2026.

This exciting co-op opportunity offers you a chance to play a key role in shaping data-driven initiatives at one of the world's leading risk management and reinsurance firms. Within our dynamic Data Strategy group, you'll contribute to the design, analysis, and execution of innovative data work streams across multiple high-impact projects. Operating with a "start-up style" mindset within a $2 billion organization, our team is dedicated to rapidly enhancing the acquisition, storage, analysis, and monetization of vast amounts of client, internal, and third-party data-driving value and insights across the entire Guy Carpenter organization.

As a member of the Data Strategy group, you will collaborate closely with data analysts, scientists, engineers, product managers, and stakeholders from various internal teams. This role provides a unique opportunity to gain hands-on experience in software engineering and advanced data manipulation within a fast-paced, collaborative environment. You will contribute to streamlining data collection and analysis processes and support impactful analyses on a wide range of quantitative and qualitative topics, helping to shape strategic decisions and innovative solutions.

We will count on you to:
  • Design, build, and deploy custom data pipelines that power machine learning models, generate insights, support client benchmarking tools, create business intelligence dashboards, and develop innovative data products
  • Utilize multiple large datasets to drive revenue growth by developing new products in collaboration with the Data Strategy team, while also enhancing the delivery and functionality of existing offerings
  • Integrate data from diverse sources such as relational databases, APIs, cloud storage (NetApp, AWS, Azure), FTP servers, and formats including Excel, CSV, XML, Parquet, and unstructured data
  • Construct and maintain robust data pipelines connecting internal and external data sources to the data lake, implementing modern quality assurance practices with automated validation frameworks like dbt and Great Expectations
  • Contribute to team development standards through code reviews, comprehensive testing (unit and integration), and continuous monitoring to ensure high-quality, reliable data workflows
  • Conduct exploratory data analysis and develop or refine machine learning models to support the creation and enhancement of Data Strategy products, enabling data-driven decision-making

What you need to have:
  • Pursuing a Master's or Bachelor's degree in a technical field such as Computer Science, Data Science, Mathematics, or a related quantitative discipline, or demonstrated ability to quickly learn new software and analytical concepts
  • A strong academic record; relevant work experience is a plus and can sometimes outweigh the specific field of study
  • Excellent verbal and written communication skills, capable of conveying complex ideas clearly to colleagues at all levels within Guy Carpenter
  • Exposure to technologies and programming languages such as Python and SQL

What Makes You Stand Out:
  • Prior experience with software best practices, including DRY coding, unit and integration testing, and thorough documentation
  • Familiarity with modern containerization and deployment tools like Docker
  • Experience working with big data processing frameworks such as Apache Spark
  • Hands-on experience in a modern, agile Software Development Life Cycle (SDLC) environment, including CI/CD pipelines across development, quality control, and production stages
  • Proficiency with cloud platforms such as AWS, Google Cloud Platform, or Azure
  • Ability to consume and integrate data from REST APIs
  • Demonstrated strong analytical skills and intellectual curiosity, evidenced through academic projects or professional work
  • Experience working in an Agile environment, supporting rapid and effective delivery of team goals
  • Knowledge of risk evaluation modeling or experience building data products
  • Excellent interpersonal skills, with the ability to foster strong internal relationships, collaborate effectively within a team, and contribute to both technical and non-technical discussions
  • A genuine desire to learn quickly, adapt, and add value to team initiatives

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

The applicable hourly rate for this role is $30.00.

What's next:

Application Instructions:
  • Application deadline is Sunday, September 28th at 11:59pm EST
  • Please apply as early as possible to be considered for the opportunity as applications will be reviewed on a rolling basis.
  • We are hiring in multiple locations. As you are filling out your application, you'll have the opportunity to select your desired location. Should you have interest in multiple locations, your recruiter will work with you to make those connections should that be necessary.

First Round Interviews:
  • If selected, first-round interviews consist of an on-demand digital video interview.
  • Further timing and instructions will be provided after submission of the application.

Guy Carpenter, a business of Marsh McLennan (NYSE: MMC), is a leading global risk advisory and reinsurance specialist and broker. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit guycarp.com, or follow on LinkedIn and X.

Marsh McLennan 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, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting

Marsh McLennan 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 McLennan 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.