Key Facts

Remote From:

United States

Full time

Entry-level / graduate

80 - 100K yearly

English

Hard Skills

Other Skills

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Non-Verbal Communication
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Teamwork
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Problem Solving

Roles & Responsibilities

Legally eligible to work in the U.S.; recently completed a bachelor's or bachelor's+master's degree in computer science, electrical engineering, mathematics, or data science; minimum 3.0 GPA (3.5+ preferred); graduation between Nov 2025 and Jun 2026; planning to seek full-time employment by Jun 2026.
Strong programming skills in Java, JavaScript, or Python; solid understanding of data structures and algorithms.
Excellent verbal and written communication; good problem-solving skills; willingness to learn independently and contribute in a team environment.
Preferred but not required: experience with AI, SQL, and Git/GitHub/GitLab.

Requirements:

Apply statistical analysis and experimentation to drive customer growth, optimization, and data-informed business decisions.
Develop, clean, and analyze datasets using SQL, Python or R to generate actionable insights.
Partner with cross-functional teams to translate business problems into data-driven solutions and measurable outcomes.
Support data governance initiatives including master data management, metadata documentation and enrichment in the Data Catalog, data classification to enable responsible data access, privacy compliance, and trusted data assets.

Mercury Insurance

Insurance

About Mercury Insurance

At Mercury, we have been guided by our purpose to help people reduce risk and overcome unexpected events for more than 60 years. We are one team with a common goal to help other others. Everyone needs insurance and we can’t imagine a world without it. Our team will encourage you to grow, make time to have fun, and work together to make great things happen. We are an award-winning company, and we owe that to our amazing team! We care about our people, and we mean it. We reward our talented professionals with a competitive salary, bonus potential, and a variety of benefits to help our team members reach their health, retirement, and professional goals. Mercury was founded in 1961 by George Joseph, Mercury’s Founder and Chairman. Back in the 50s, everyone paid the same rate, regardless of their driving record. Joseph decided he could create a new system by developing an insurance company that used different factors to create fair and equitable rates for a variety of drivers. “We called our company Mercury, because I wanted us to be fast and nimble, just like the Roman God of business and merchants,” says Joseph. “He was also responsible for delivering good news to people on Earth, which is exactly what we do for Mercury customers every day.” We, Mercury Insurance (NYSE-MCY), are a leading independent broker and agency writer of automobile insurance in California and one of the fastest growing automobile insurers in the nation. We were ranked as the fourth largest private passenger automobile insurer in California, with over $4.5 billion in total assets, 4,500 team members, and 8,000 independent agents. We started by providing comprehensive coverage options for auto and expanded our offerings into home, condo, renters, and business insurance, as well as mechanical protection. We operate through a network of local, independent agents in Arizona, California, Florida, Georgia, Illinois, Nevada, New Jersey, New York, Oklahoma, Texas and Virginia.

Company type: Large

Industry: Insurance

Founded: 2018

Company size: 5001 - 10000

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Job description

Overview:

Mercury Ignite.

Kick-start your career with Mercury Ignite: Graduate Program in Growth Data Science and Data Governance a 12-month structured journey that offers hands-on experience across real business projects and rotations within the Enterprise Data Science organization at Mercury Insurance.

Geo-Salary Information:

We are one team.

The Enterprise Data Science team (EDS) is a technology team focused accelerating Mercury’s data-driven transformation to support growth, operational excellence, and AI-enabled business processes.

Responsibilities:

Job Summary 

We are seeking curious, passionate, and hard-working graduates from data science, computer science, data analytics, business analytics, statistics and machine learning academic fields to participate in our remote graduate program. In this program, you will have two, six-month rotations focused on the below two functions:

Growth Data Science – Focuses on building growth data science expertise, driving experimentation, customer insights, and data driven growth strategies through impactful analytics and AI solutions.

Data Governance –

Focuses on building expertise in modern data governance by improving data quality monitoring, metadata documentation and enrichment in the Data Catalog, supporting Master Data Management (MDM), and supporting data classification to ensure responsible data access and privacy compliance, while enabling trusted, secure, and scalable data-driven decision making.

Job Function

Apply statistical analysis and experimentation to driver customer growth, optimization and data information business decisions
Develop, clean and analyze datasets using tools like SQL, Python or R to generate actionable insights
Partner with cross functional teams to translate business problems into data driven solutions and measurable outcomes
Ensure data quality, integrity, and consistency through data validation, quality monitoring, documentation, and adherence to data governance standards.
Support data governance initiatives including master data management, metadata documentation and enrichment in the Data Catalog, and data classification to enable responsible data access, privacy compliance, and trusted data assets.
Leverage AI and machine learning techniques to enhance predictive insights, automate processes, and responsibly scale data driven decision making

Qualifications:

Education Requirements 

Be legally eligible to work in the U.S.
Recently completed a bachelor's or both bachelor's and master's degree in an information technology (computer science, Electrical engineering, Mathematics and Data science) field
Able to provide a cumulative GPA, as reported by your school. Minimum 3.0 GPA required, 3.5 or higher GPA preferred.
Graduation date on or after November 2025 but no later than June 2026
Planning to seek full-time employment by June 2026

Preferred Skills & Abilities 

Excellent verbal and written communication
Good problem-solving skills
Willingness to independently learn and make an impact within a team environment
Strong programming skills in at least one of the following: Java, JavaScript, Python
Good understanding of different data structures and algorithms
Preferred but not required: experience with AI, SQL and Git/GitHub/GitLab

Physical Requirements:

Required job duties are essentially sedentary in nature, consisting of occasional walking, standing, lifting, and/or carrying ten pounds maximum.

About the Company:

Why choose a career at Mercury?

At Mercury, we have been guided by our purpose to help people reduce risk and overcome unexpected events for more than 60 years. We are one team with a common goal to help others. Everyone needs insurance and we can’t imagine a world without it.

Our team will encourage you to grow, make time to have fun, and work together to make great things happen. We embrace the strengths and values of each team member. We believe in having diverse perspectives where everyone is included, to serve customers from all walks of life.

We care about our people, and we mean it. We reward our talented professionals with a competitive salary, bonus potential, and a variety of benefits to help our team members reach their health, retirement, and professional goals.

Learn more about us here: https://www.mercuryinsurance.com/about/careers

Perks and Benefits:

Why a Mercury Ignite Graduate Program