[Remote] Mercury Ignite: Data Science Graduate Development Program

Note: The job is a remote job and is open to candidates in USA. Mercury Insurance Services, LLC is offering the Mercury Ignite Graduate Program in Data Science, a 12-month structured journey that provides hands-on experience across real business projects. The program allows graduates to strengthen their skills in data science while collaborating with engineers and product leaders to build impactful solutions.

Responsibilities

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

Skills

• 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
• 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
• Required job duties are essentially sedentary in nature, consisting of occasional walking, standing, lifting, and/or carrying ten pounds maximum
• Familiarity with Cloud platforms (AWS), version control (Git), or visualization tools

Benefits

• Competitive salary
• Bonus potential
• Variety of benefits to help our team members reach their health, retirement, and professional goals

Company Overview

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