Intern- Data Science

Explore a variety of careers in insurance with EMC! By participating in our paid intern program, you’ll develop industry-related knowledge, enhance skills that are transferable to any professional setting and do meaningful work to help achieve our goals. Your daily responsibilities, special projects and activities will provide both structured and unstructured opportunities to help you learn and grow as a professional. When you network with executives, connect with a mentor, explore other departments and volunteer in the community, you’ll see your impact at EMC on a larger level. Plus, successful interns are invited to apply for regular full-time positions. Join us at EMC! You’re going to love it here—you can count on it.

Essential Functions:

• Summer 2027 paid internship working in Strategic Analytics at EMC Insurance
• Under close supervision, builds data science solutions.
• Gathers structured and/or unstructured data to create a modeling dataset, including cleaning and pre-processing data.
• Performs exploratory data analysis to ensure the data is fit for purpose, discovers and identifies existing relationships, patterns, and trends within the data, and shares results with supervisor for review.
• Learns EMC and departmental culture, structure, and functions across branches
• Researches and makes recommendations on at least one emerging technology or innovation
• Develops understanding of insurance operations, ratemaking, statistical analysis, data management and computer programming

Education & Experience:

• Data science, actuarial science, mathematics, statistics, economics, computer science, or finance major
• Completion of junior year preferred
• Interest in property casualty insurance career
• Cumulative GPA of 3.5 or higher

Knowledge, Skills & Abilities:

• Excellent verbal and written communication skills
• Analytical ability
• Strong organizational skills
• Sound decision-making and problem-solving
• Attention to detail
• Good computer skills

Our employment practices are in accordance with the laws that prohibit discrimination due to race, color, creed, sex, sexual orientation, gender identity, genetic information, religion, age, national origin or ancestry, physical or mental disability, medical condition, veteran status, active military status, citizenship status, marital status or any other consideration made unlawful by federal, state, or local laws.

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