Associate Data Scientist

About the Role

This position involves working on analytical projects that help identify business opportunities, answer business questions, and develop business solutions. The candidate will need to have data and programming skills and be able to apply data, statistical models, and machine learning techniques to understand business needs and create research and implementation plans. The candidate will collaborate with cross-functional teams of software engineers, data analysts, and product leaders on business initiatives.

Responsibilities

• Work with various business departments to understand their business processes and needs.
• Identify and use relevant data sources to conduct project work and ad-hoc analyses using statistical and machine learning algorithms.
• Work independently with some guidance from senior data scientists and management.
• Communicate and collaborate with colleagues and managers regarding analysis needs and results.
• Provide data support on projects and work with business on implementation.
• Create and maintain monitoring procedures and reports for projects and look for ways to improve accuracy and efficiency.
• Collect data from different applications and data infrastructure.
• Extract, transform, and load large amounts of structured or unstructured data from various sources.
• Apply data manipulation techniques to clean and prepare data for analysis.
• Review data for quality and consistency and optimize data retrieval methods when needed.
• Create and maintain reports, graphs, and charts through dashboards and other programming tools, as well as MS Excel.
• Follow procedures to streamline analysis processes.
• Support automated procedures to help reduce cost and improve efficiency.
• Respond to questions and requests from business on related reports.
• Communicate effectively and regularly with SMEs, EBI, MTS, and Management in various functional areas to learn about each job function.
• Expand knowledge of the processes associated with these functions and of the various KPIs that measure business performance.
• Create presentations summarizing problems identified and potential solutions.
• Participate in meetings to share findings and recommendations.
• Prepare and present PowerPoint presentations, with a solid background in creating and explaining relevant graphs.

Requirements

• Bachelor’s degree in math, statistics, computer science, or other related areas. Master’s Degree (or ACAS) preferred.
• Completion of the Summer 2026 Internship at Mercury Insurance.
• At least 2 years of experience in data mining and data/statistical analysis.
• At least 2 years of experience with SQL and statistical software packages (Python, R, SAS).
• Experience in insurance or financial service-related fields.

Skills

• Demonstrated solid skills in data mining, machine learning, programming, and optimization.
• Knowledge of cloud-based advanced data and analytics environments.
• Passion for problem-solving and comfort with ambiguity.
• Ability to think conceptually, analytically, and creatively.
• Experience using R, Python, and other programming languages.
• Strong data skills and the ability to work with large structured and unstructured data sources.
• Experience in predictive modeling, general model building, and validation procedures.
• Excellent problem-solving, analytical, and critical-thinking skills.
• Excellent written and verbal communication skills.
• Demonstrated alignment with the company’s core values.

Pay

State-specific pay scales for this role are as follows:

• $83,670 to $161,815 (NJ, NY, WA, HI, AK, MD, CT, RI, MA)
• $76,064 to $147,104 (NV, OR, AZ, CO, WY, TX, ND, MN, MO, IL, WI, FL, GA, MI, OH, VA, PA, DE, VT, NH, ME)
• $68,457 to $132,394 (UT, ID, MT, NM, SD, NE, KS, OK, IA, AR, LA, MS, AL, TN, KY, IN, SC, NC, WV)
• In CA: Typical hiring range is $110,468 to $153,428.

The expected base salary for this position will vary depending on relevant experience, skills, and location.

Benefits

• Competitive compensation.
• Flexibility to work from anywhere in the United States for most positions.
• Paid time off (vacation time, sick time, 9 paid company holidays, volunteer hours).
• Incentive bonus programs (potential for holiday bonus, referral bonus, and performance-based bonus).
• Medical, dental, vision, life, and pet insurance.
• 401(k) retirement savings plan with company match.
• Engaging work environment.
• Promotional opportunities.
• Education assistance.
• Professional and personal development opportunities.
• Company recognition program.
• Health and wellbeing resources, including free mental wellbeing therapy/coaching sessions, child and eldercare resources, and more.

About the Company

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.