Mercury Ignite: Data Science Graduate Development Program

California, United States

Full-time

Onsite

$80K/yr - $90K/yr

New Grad

Mercury Insurance is launching the Mercury Ignite Graduate Program in Data Science, offering a structured 12-month journey for recent graduates. Participants will gain hands-on experience through rotations in various data science areas, collaborating with engineers and product leaders to build impactful solutions.

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Responsibilities

Complete a structured rotation through different areas of Data Science, building a solid foundation in advanced analytical techniques, statistical methods, and machine learning algorithms
Identify relevant data sources, perform feature engineering, and collaborate with engineering teams to implement models into production
Create and maintain monitoring procedures for model performance and proactively look for ways to improve accuracy and automation
Partner with Subject Matter Experts (SMEs), Business Intelligence, and IT teams to translate complex data insights into clear, actionable business strategies
Design automated dashboards and reports (using Python, SQL, or BI tools) to communicate results to stakeholders

Qualification

Required

Be legally eligible to work in the U.S
Recently completed a bachelor's or both bachelor's and master's degree in a quantitative or Information Technology field (computer science, Data science, etc.)
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

Strong programming skills in Python (pandas, scikit-learn) and SQL are essential
Solid understanding of statistical models and machine learning techniques (Regression, Classification, Clustering, etc.)
Excellent verbal and written communication skills; ability to explain technical concepts to non-technical audiences
A willingness to independently learn new tools and dig deep into ambiguous data problems
Familiarity with Cloud platforms (AWS), version control (Git), or visualization tools