Associate Data Scientist

Mercury Insurance Services, LLC offers an engaging work environment with competitive compensation and benefits designed for day-to-day stability and long-term growth. This role is remote (work from anywhere in the United States for most positions), with paid time off, incentive bonus programs, and comprehensive insurance coverage. You’ll also have access to education and professional/personal development opportunities, company recognition, and health and wellbeing resources including free mental wellbeing therapy/coaching sessions.

The Associate Data Scientist role focuses on analytics that uncover business opportunities, answer business questions, and deliver data-driven business solutions using statistical models and machine learning. You’ll partner across departments, support project reporting and monitoring, and contribute to implementation-ready data work.

Responsibilities

• Work with business departments to understand processes, needs, and analysis priorities.
• Identify and use relevant data sources to perform project work and ad-hoc analyses using statistical and machine learning algorithms.
• Operate independently with some guidance from senior data scientists and management.
• Communicate analysis needs, results, and recommendations with colleagues and managers.
• Provide data support on projects and work with business teams on implementation.
• Create and maintain monitoring procedures and reports; 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 multiple sources.
• Clean and prepare data for analysis, including quality and consistency checks, and optimize data retrieval methods when needed.
• Create and maintain reports, graphs, and charts using dashboard and other programming approaches and MS Excel.
• Follow procedures to streamline analysis processes and support automated procedures to reduce cost and improve efficiency.
• Respond to business questions and requests related to reports.
• Communicate regularly with SMEs, EBI, MTS, and Management to learn job functions, relevant processes, and KPIs measuring business performance.
• Create presentations summarizing problems identified and potential solutions.
• Participate in meetings to share findings and recommendations.
• Maintain strong graphing skills and be proficient at preparing and presenting PowerPoint presentations.

Requirements

• Typically acquired through successful completion of a 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 experience with SQL and statistical software packages: Python, R, and/or SAS.
• Experience in insurance or financial service related fields.
• 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 skills working with large structured and unstructured data sources.
• Experience with predictive modeling, general model building, and validation procedures.
• Excellent problem-solving, analytical, and critical thinking skills.
• Excellent written and verbal communication skills.
• Demonstrate the company’s Core Values.

Technologies

• SQL, Python, R, SAS, MS Excel, PowerPoint

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

Location and Salary

• Remote (remote)
• Salary range: USD 68,457 - 161,815 per yearly
• An in-person interview may be required during the hiring process
• State-specific pay scales:
  • $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 will vary based on relevant experience, skills, and location.