Responsibilities
- Collaborate with business units including underwriting, claims, marketing, and advertising to understand their processes and needs.
- Identify relevant data sources for business issues and opportunities, conduct assigned project work, and perform ad-hoc analyses using statistical and machine learning algorithms to enhance business processes and decision-making.
- Work independently while receiving guidance from senior data scientists and management.
- Engage in discussions with colleagues regarding analysis requirements.
- Review and discuss analyses with colleagues and managers as needed.
- Provide data support for projects and collaborate closely with business teams on implementation through analytical or IT processes.
- Develop monitoring procedures and reports for implemented projects, and identify opportunities to improve accuracy and efficiency.
- Understand data sources from various applications and data infrastructure.
- Retrieve large volumes of structured or unstructured data from multiple sources and apply advanced data manipulation techniques to prepare data for analysis.
- Review data for accuracy and optimize data retrieval methods when necessary.
- Create, maintain, and improve dynamic reports, graphs, and charts using dashboards, programming, and MS Excel.
- Develop procedures to streamline analysis workflows.
- Establish automated processes to reduce costs and improve efficiency.
- Answer questions and conduct ad-hoc analyses related to business reports.
- Communicate proactively, clearly, and consistently with subject matter experts, EBI, IT, and management across functional areas to understand each job function.
- Through communication, expand understanding of processes and key performance indicators that drive business results in each area and overall.
- Create presentations that break down identified problems and potential solutions.
- Actively participate in meetings to present findings and recommendations.
- Possess a strong background in creating and explaining meaningful graphs and be skilled in assembling and delivering PowerPoint presentations.
- Maintain regular attendance at work on a full-time schedule of at least 8 hours per day and 40 hours per week.
- Perform other duties as assigned.
Requirements
- Bachelor’s degree in mathematics, statistics, computer science, or a related field.
- 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).
- At least 1 year of experience working as a data scientist or in a similar role, with a proven track record in data processing, predictive modeling, and machine learning techniques.
- At least 1 year of experience in insurance or financial services.
- 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 ability to work with large structured and unstructured data sources.
- Experience in predictive modeling, general model building, and validation procedures.
- Excellent problem-solving skills.
- Excellent analytical and critical thinking skills.
- Excellent written and verbal communication skills.
- Demonstrate the company’s core values.
Nice to Have
- Master’s degree (or ACAS/FCAS).
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
Compensation
Competitive compensation
Work Arrangement
Flexibility to work from anywhere in the United States for most positions
