Job Description
Overview:
Kick-start your career with Mercury Ignite: Join the Mercury Ignite Graduate Program in Data Science – a 12-month structured journey that offers hands-on experience across real business projects, rotations through key verticals within Data Science, and a dedicated role at the end of the program. You’ll strengthen your skills with access to LinkedIn Learning and the CodeSignal Learn platform, while an assigned buddy supports your culture fit and helps you thrive from day one.
Geo-Salary Information:
We are one team.
The Mercury Enterprise Data Science (EDS) team is the technology engine focused on utilizing advanced analytics to drive pricing and product excellence. We function as "One Team," leveraging data to solve complex business problems. Our core focus areas include:
Pricing & Underwriting: Improving risk assessment models for accurate decision- making.
Claims: Optimizing indemnity through predictive analytics.
Growth: Driving business expansion through advanced customer and agent segmentation to identify new opportunities and optimize sales performance.
Responsibilities:
We are seeking curious, passionate, and hard-working graduates to join our remote graduate program. In this role, you won't just "run numbers"—you will collaborate with engineers and product leaders to build solutions that impact the bottom line.
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
Drive Innovation: Create and maintain monitoring procedures for model performance and proactively look for ways to improve accuracy and
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.
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 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 2026 but no later than June 2026
Planning to seek full-time employment by June 2026
Preferred Skills & Abilities
Technical Proficiency: Strong programming skills in Python (pandas, scikit-learn) and SQL are essential.
Analytical Mindset: Solid understanding of statistical models and machine learning techniques (Regression, Classification, Clustering, ).
Communication: Excellent verbal and written communication skills; ability to explain technical concepts to non-technical audiences.
Curiosity: A willingness to independently learn new tools and dig deep into ambiguous data
Bonus Points: Familiarity with Cloud platforms (AWS), version control (Git), or visualization
Physical Requirements:
Physical Actions
Required job duties are essentially sedentary in nature, consisting of occasional walking, standing, lifting, and/or carrying ten pounds maximum.
If you’re interested in launching your career with Mercury Insurance - Apply today!
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
Accelerated Growth: An entry-level role designed to give you broad exposure to AI, Data, and Automation across the enterprise.
Mentorship: You will be assigned a "Buddy" and have direct access to senior data scientists to support your assimilation and growth.
Real Impact: Full-time opportunity to gain hands-on experience with high-priority projects.
Total Rewards: Earn a competitive salary with a comprehensive benefits package.
Pay Range: USD $80,000.00 - USD $90,000.00 /Yr.
Kick-start your career with Mercury Ignite: Join the Mercury Ignite Graduate Program in Data Science – a 12-month structured journey that offers hands-on experience across real business projects, rotations through key verticals within Data Science, and a dedicated role at the end of the program. You’ll strengthen your skills with access to LinkedIn Learning and the CodeSignal Learn platform, while an assigned buddy supports your culture fit and helps you thrive from day one.
Geo-Salary Information:
We are one team.
The Mercury Enterprise Data Science (EDS) team is the technology engine focused on utilizing advanced analytics to drive pricing and product excellence. We function as "One Team," leveraging data to solve complex business problems. Our core focus areas include:
Pricing & Underwriting: Improving risk assessment models for accurate decision- making.
Claims: Optimizing indemnity through predictive analytics.
Growth: Driving business expansion through advanced customer and agent segmentation to identify new opportunities and optimize sales performance.
Responsibilities:
We are seeking curious, passionate, and hard-working graduates to join our remote graduate program. In this role, you won't just "run numbers"—you will collaborate with engineers and product leaders to build solutions that impact the bottom line.
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
Drive Innovation: Create and maintain monitoring procedures for model performance and proactively look for ways to improve accuracy and
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.
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 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 2026 but no later than June 2026
Planning to seek full-time employment by June 2026
Preferred Skills & Abilities
Technical Proficiency: Strong programming skills in Python (pandas, scikit-learn) and SQL are essential.
Analytical Mindset: Solid understanding of statistical models and machine learning techniques (Regression, Classification, Clustering, ).
Communication: Excellent verbal and written communication skills; ability to explain technical concepts to non-technical audiences.
Curiosity: A willingness to independently learn new tools and dig deep into ambiguous data
Bonus Points: Familiarity with Cloud platforms (AWS), version control (Git), or visualization
Physical Requirements:
Physical Actions
Required job duties are essentially sedentary in nature, consisting of occasional walking, standing, lifting, and/or carrying ten pounds maximum.
If you’re interested in launching your career with Mercury Insurance - Apply today!
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
Accelerated Growth: An entry-level role designed to give you broad exposure to AI, Data, and Automation across the enterprise.
Mentorship: You will be assigned a "Buddy" and have direct access to senior data scientists to support your assimilation and growth.
Real Impact: Full-time opportunity to gain hands-on experience with high-priority projects.
Total Rewards: Earn a competitive salary with a comprehensive benefits package.
Pay Range: USD $80,000.00 - USD $90,000.00 /Yr.
💡 Quick Summary
Seeking a career-building opportunity? The Mercury Ignite: Data Engineering Graduate Development Program- post position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in Los Angeles offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.
