Information Technology Intern

Location
White Plains, New York
Salary
Not Specified
Posted
Jun 25, 2024
Closes
Aug 24, 2024
Ref
R_273186#GIJ-MarshMcLennan.2
Category
Entry Level, IT
Job Type
Not Specified
Career Level
Not Specified
Workplace
In-Office

This is a 10-12 week internship, starting out full time with the intentions to move to part time once the semester starts.

There are 3 internship focuses available - Devops, Data Analytics and Data Science, details below.

Our not-so-secret sauce.

Award-winning, inclusive, Top Workplace culture doesn't happen overnight. It's a result of hard work by extraordinary people. More than 10,000 of the industry's brightest talent drive our efforts to deliver purposeful work and meaningful impact every day. Learn more about what makes us different and how you can thrive as an IT Intern at MMA.

Marsh McLennan Agency (MMA) provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With 180 offices across North America, we combine the personalized service model of a local consultant with the global resources of the world's leading professional services firm, Marsh McLennan (NYSE: MMC).

A day in the life

Devops Intern

As a DevOps Intern you will work closely with our DevOps team to support our cloud infrastructure development and deployment process. The intern will follow DevOps best practices, work with automation tools, and cloud computing platforms.

Responsibilities


• Work with the platform team to support the cloud infrastructure provisioning and maintenance
• Assist in automating build, test, and deployment processes using automation tools
• Assist in configuring monitoring and alerting for cloud infrastructure and applications
• Assist in troubleshooting and resolving issues related to the cloud infrastructure
• Collaborate with development teams to optimize application performance and scalability
• Create and maintain documentation of systems and environments
• Use version control system (Git) to check automated tests into CI/CD pipeline to continuously run automated testing

Qualifications


• Recent grad or pursuing Bachelor's or Master's Degree in Computer Science or related field
• Hands on experience with Python and/or .NET
• Exposure to development tools like Visual Studio Code, Github
• Familiarity with cloud platforms like Azure (Virtual Machines, Object storage)
• Basic understanding of networking, security, and system administration concepts
• Detail oriented, with excellent communication, and interpersonal skills
• Strong analytical skills coupled with technical curiosity


Data Science Intern


As a Data Science Intern on the Data Platform National Team, you will under close supervision, develop quantitative models and statistical analyses for insurance risk modeling. This position assists in research of economic factors, performs a variety of basic financial and statistical analysis and supports the development of new, market-leading analytics-based tools to help clients assess and mitigate risk.

Responsibilities

• Assists in the development of new, market-leading analytics-based tools to assess risk
• Performs basic quantitative modeling and statistical analysis in order to assess risk and viability of risk mitigation solutions
• Supports building Data Science models. This includes understanding business problems, determining structured and unstructured data needs and availability, building predictive and/or Machine Learning models, and finalizes with results that unlock insight for clients and colleagues
• Demonstrates skill with statistical analysis, data exploration, and research techniques
• Maintains a basic awareness of ongoing research in the field of Data Science and ML/AI
• Supports team members in designing analytical models and processes to help internal and external clients quantify and mitigate risks

Qualifications

• Recent grad of pursuing bachelor's or Master's Degree in Math, Statistics, Actuarial Science or related field
• Interested in pursuing designation from the Casualty Actuarial Society
• Developing knowledge of Machine Learning and statistical modeling techniques
• Knowledge of Natural Language Processing: sentiment analysis, name entity recognition, text classification, etc.
• Detail oriented, with excellent communication and interpersonal skills
• Knowledge of Python programming language including Pandas and NumPy packages
• R, SQL, or VBA may be helpful but not required
• Exposure to development tools like Visual Studio Code, Github
• Familiar with cloud platforms like Azure or AWS (Virtual Machines, Object storage)


Data Analytics Intern

This position is for an intern in Data & Analytics who, under close supervision, assists in the design and implementation of innovative Business Intelligence solutions. This intern also assists in the development of new, market-leading analytics-based tools to help with decision making and assess risk

Responsibilities


• Collaborate with data engineering and analyst teams to extract, transform, and load data from various data sources
• Contribute to building data architecture and pipelines to support business analysis, data science initiatives, and customer reporting needs
• Perform basic quantitative modeling and statistical analysis in order to assess risk and viability of risk mitigation solutions
• Support the understanding of business problems with the broader goal of creating an approach that starts with determining structured and unstructured data needs and availability, build predictive and/or Machine Learning models, and finalizes with results that unlock insight for clients and colleagues
• Support team members in designing analytical models and processes to help internal and external clients quantify and mitigate risks

Qualifications


• Recent grad or is pursuing Bachelor's or Master's Degree in Data & Analytics, Computer Science, or related field
• Overall cumulative GPA of 3.0 or above at the time of application and start date
• Detail oriented with excellent communication and interpersonal skills
• Knowledge of modern programming languages such as Python
• Knowledge of Relational and NoSQL databases and cloud platforms like Azure
• Exposure to development tools like Visual Studio Code, Github
• Experience with R, VBA, or SQL may be helpful but not required

Valuable benefits.


We value and respect the impact our colleagues make every day both inside and outside our organization. We've built a culture that promotes colleague well-being through robust benefit programs and resources, encourages professional and personal development, and celebrates opportunities to pursue the projects and causes that give colleagues fulfilment outside of work.


Some benefits included in this role are:
• Generous time off, including personal and volunteering
• Remote work
• Tuition reimbursement and professional development opportunities
• Charitable contribution match programs
• Stock purchase opportunities


To learn more about a career at MMA, check us out online: http://marshmma.com/careers or flip through our recruiting brochure: https://bit.ly/3Qpcjmw


Follow us on social media to meet our colleagues and see what makes us tick:
https://www.instagram.com/lifeatmma/
https://www.facebook.com/LifeatMMA
https://twitter.com/marsh_mma
https://www.linkedin.com/company/marsh-mclennan-agency/

The applicable hourly rate for these roles is $24.00 The hourly rate offered will be determined on factors such as experience, skills, training, location, certifications, and education. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives.

Who you are is who we are.


We embrace a culture that celebrates and promotes the many backgrounds, heritages and perspectives of our colleagues and clients. We are always seeking those with ethics, talent, and ambition who are interested in joining our client-focused teams.

Marsh McLennan and its affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers.

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