[Remote] Mercury Ignite: Data Science & Machine Learning Graduate Development Program (Remote)

Note: The job is a remote job and is open to candidates in USA. Mercury Insurance is offering the Mercury Ignite Graduate Program in Data Science and Machine Learning, a 12-month structured journey for recent graduates. Participants will gain hands-on experience through two rotations focused on data science and machine learning, working on real business projects to drive insights and support decision-making.ResponsibilitiesAnalyze insurance and customer data to identify trends, optimize growth strategies and support business decision makingDevelop, implement and evaluate predictive models using machine learning to improve risk assessment, pricing and claims outcomesPartner with cross functional teams to translate business problems into data driven solutions and measurable outcomesDesign and execute experiments to measure the impact of new initiatives and growth strategiesEnsure data quality, integrity and compliance with governance standards to maintain trusted, actionable datasetsLeverage AI and machine learning techniques to enhance predictive insights, automate processes, and responsibly scale data driven decision makingSkillsBe legally eligible to work in the U.SRecently completed a bachelor's or both bachelor's and master's degree in data science, computer science, data analytics, business analytics, statistics, mathematics, physics and machine learning or any other analytical / quantitative academic fieldsAble to provide a cumulative GPA, as reported by your school. Minimum 3.5 GPA requiredGraduation date on or after November 2025 but no later than June 2026Planning to seek full-time employment by June 2026Excellent verbal and written communicationGood problem-solving skillsWillingness to independently learn and make an impact within a team environmentStrong programming skills in at least one of the following: Python, SQL, R, C++, Rust, Go, or C#Good understanding of different data structures and algorithmsStrong programming skills in Python, with experience using it for data analysis, modeling, or building reproducible data pipelines and analytical workflowsExperience with SQL and relational data conceptsFamiliarity with Git-based version controlExperience with data and ML python libraries such as scikit-learn, pandas, XGBoost, NumPy, and NLP librariesBackground in another programming language (e.g., R, C++, Rust, Go) is welcome, provided there is interest in working primarily in Python and SQLBenefitsBonus potentialA variety of benefits to help our team members reach their health, retirement, and professional goalsReal-world experience in areas of AI, Data and AutomationHands-on experience with programs and projectsAssigned buddy to support with team assimilationCompetitive salary with benefitsCompany OverviewMercury Insurance has offered quality insurance for personal auto insurance to homeowners insurance to mechanical breakdown protection. It was founded in 1962, and is headquartered in Los Angeles, California, USA, with a workforce of 5001-10000 employees. Its website is http://www.mercuryinsurance.com.Company H1B SponsorshipMercury Insurance has a track record of offering H1B sponsorships, with 22 in 2025, 23 in 2024, 14 in 2023, 15 in 2022, 8 in 2021, 13 in 2020. Please note that this does not guarantee sponsorship for this specific role.



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