Graduate Program in Data Science and Machine Learning
Note: The job is a remote job and is open to candidates in USA. Mercury Insurance is offering a Graduate Program in Data Science and Machine Learning designed for recent graduates. This 12-month program provides hands-on experience through rotations in data science and machine learning, focusing on analytics and AI to drive business growth.
Responsibilities
- Analyze insurance and customer data to identify trends, optimize growth strategies and support business decision making
- Develop, implement and evaluate predictive models using machine learning to improve risk assessment, pricing and claims outcomes
- Partner with cross functional teams to translate business problems into data driven solutions and measurable outcomes
- Design and execute experiments to measure the impact of new initiatives and growth strategies
- Ensure data quality, integrity and compliance with governance standards to maintain trusted, actionable datasets
- Leverage AI and machine learning techniques to enhance predictive insights, automate processes, and responsibly scale data driven decision making
Skills
- Be legally eligible to work in the U.S
- Recently 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 fields
- Able to provide a cumulative GPA, as reported by your school. Minimum 3.5 GPA required
- Graduation date on or after November 2025 but no later than June 2026
- Planning to seek full-time employment by June 2026
- 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: Python, SQL, R, C++, Rust, Go, or C#
- Good understanding of different data structures and algorithms
- Strong programming skills in Python, with experience using it for data analysis, modeling, or building reproducible data pipelines and analytical workflows
- Experience with SQL and relational data concepts
- Familiarity with Git-based version control
- Experience with data and ML python libraries such as scikit-learn, pandas, XGBoost, NumPy, and NLP libraries
- Background in another programming language (e.g., R, C++, Rust, Go) is welcome, provided there is interest in working primarily in Python and SQL
Benefits
- Bonus potential
- Variety of benefits to help our team members reach their health, retirement, and professional goals
- Assigned buddy to support with team assimilation
- Competitive salary with benefits
Company Overview
Mercury 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.
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