Senior Data Scientist

Senior Data Scientist

Location: Hybrid/Remote (as applicable)

We are seeking a highly analytical, curious, and results-driven Senior Data Scientist to join our growing Analytics team. In this role, you will leverage data to solve complex business challenges, uncover opportunities, and support strategic decision-making across the organization. You will work closely with leaders and cross-functional partners to develop predictive models, perform advanced analytics, and deliver actionable insights that directly impact business performance.

This is an exciting opportunity for an experienced data professional who thrives in a fast-paced environment and enjoys transforming complex data into meaningful business outcomes.

Data Analysis & Insights:

• Analyze structured and unstructured datasets to identify trends, patterns, and business opportunities.
• Conduct exploratory analyses and ad hoc research to answer critical business questions.
• Deliver clear, actionable recommendations that support strategic initiatives and operational improvements.
• Translate complex analytical findings into business-friendly presentations and reports.
• Predictive Analytics & Modeling
• Develop, test, and support predictive models for initiatives such as: Pricing optimization, Claims forecasting, Fraud detection, Customer segmentation, Business performance forecasting
• Apply statistical methods and machine learning techniques to solve challenging business problems.
• Conduct A/B testing and program effectiveness analysis to measure outcomes and guide decision-making.

Business Intelligence & Reporting:

• Design, develop, and maintain dashboards and KPI reporting solutions using visualization tools such as Power BI and Tableau.
• Partner with stakeholders to define meaningful business metrics and reporting requirements.
• Monitor business performance and identify emerging trends through data visualization and reporting.
• Cross-Functional Collaboration
• Partner with teams across underwriting, product, marketing, operations, and leadership to scope and execute analytical projects.
• Collaborate with data engineering and governance teams to improve data quality, consistency, and documentation.
• Contribute to the development and maintenance of curated data assets and analytical datasets.
• Share best practices and help foster a culture of continuous learning and innovation.

Education: Bachelor's degree in a quantitative discipline such as Statistics, Data Science, Economics, Actuarial Science, Mathematics, Computer Science, or a related field. Master's degree preferred.

Experience:

• 4+ years of experience in a data science, advanced analytics, or related role.
• Experience within the insurance or financial services industry is strongly preferred.
• Experience working with insurance-related data, including quotes, policies, claims, rating, or customer data, is highly desirable.
• Auto insurance experience is a plus.

Technical Skills:

• Strong expertise in predictive modeling, machine learning, statistical analysis, and data mining techniques.
• Advanced proficiency in: Python, SQL
• Experience with business intelligence and data visualization tools such as Power BI or Tableau.
• Ability to work with large, complex datasets and create scalable, repeatable analytical solutions.
• Experience with cloud-based data platforms such as Azure, AWS, Databricks, or similar technologies is a plus.
• Professional Skills
• Exceptional problem-solving and analytical thinking abilities.
• Strong communication skills with the ability to explain technical concepts to non-technical audiences.
• Ability to work independently while effectively collaborating within cross-functional teams.
• Strong organizational skills and attention to detail.
• Ability to thrive in a dynamic, fast-paced environment.

Physical Requirements:

• Ability to remain in a stationary position for extended periods of time, typically 6 to 8 hours per day, while working at a computer.
• Frequent use of hands and fingers for computer keyboarding, mouse operation, and other repetitive fine motor activities.
• Ability to read and analyze information on computer screens and documents, including small print and detailed data visualizations.
• Ability to communicate effectively, both verbally and in writing, including conveying complex information accurately and professionally.
• Occasional movement throughout the office, including standing, walking, reaching, bending, stooping, and carrying light office materials.
• Ability to lift and move items weighing up to 15 pounds on an occasional basis.
• Ability to maintain concentration and attention to detail while managing multiple projects and deadlines.

Working Conditions:

• This is an exempt position that may support a flexible or alternative work schedule, consistent with business needs.
• Work is performed primarily in a professional office or remote office environment within a highly technical, paperless workplace.
• Daily use of computers, telephones, video conferencing platforms, and other standard office technology is required.
• Position may require prolonged periods of screen time and virtual collaboration with internal and external stakeholders.
• Occasional travel for meetings, training, conferences, or company events may be required based on business needs.
• The employee must be able to perform the essential functions of the position, with or without reasonable accommodation.

Aspire is an Equal Opportunity Employer committed to creating an inclusive workplace where all employees and applicants are treated with dignity and respect. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law.

Aspire provides reasonable accommodations to qualified individuals with disabilities and for sincerely held religious beliefs and practices. Applicants requiring accommodation during any stage of the recruitment or hiring process should inform us right away.

Aspire complies with all applicable fair chance, ban-the-box, and criminal history consideration laws. Qualified applicants with criminal histories will be considered in a manner consistent with applicable law and the requirements of the position.

The pay range provided for this position represents the Company's good-faith estimate of the compensation for this role at the time of posting. Compensation for this position will be determined based on job-related qualifications, experience, education, skills, geographic location, and business needs. Aspire reserves the right to modify compensation and benefits programs as permitted by law.