Summary
Data Scientists in GEICO's Pricing Department forecast business results based on in-market and proposed rating plan changes and provide leaders with options for rating plan changes that are optimized based on changing business goals, regulations, and market conditions. Taken together, these functions provide leaders with information to improve business decision making and provide expectations that can be measured against when changes are made to GEICO’s rating plans. Data Scientists in GEICO's Pricing Department deliver these capabilities by applying skills from data engineering, data science, actuarial science, statistics, competitive and market analysis to internal and external data.
Essential Functions
Collaborates with State Management, Product Management, Finance, Technology, and Pricing to identify and define analytic initiatives and develop solutions to achieve business goals through effective use of data and pricing and machine learning models.
Assists with interpreting and communicating data findings and insights using visualization, formal presentations, written memos, and other appropriate formats.
Assists in the preparation of statistical exhibits from pricing, research, or loss reserve analyses for internal management decision making or to fulfill statutory reporting requirements.
Identifies appropriate actuarial, statistical, and machine learning methods for assigned work.
Identifies, extracts, aggregates, and synthesizes data using SQL, R, SAS, Python or other appropriate languages to enable analysis, model development, and solution deployment.
Applies actuarial and data science skills to analyze large, complex datasets and identify meaningful patterns that lead to actionable insights and data-driven solutions to business problems.
Builds, tests, and validates pricing, econometric, statistical, and machine learning models and analyses using Python, R, or other appropriate language as part of overall solution development.
Assists with impementation of analytic solutions into reporting platforms or production systems by assisting in the solution design, development, testing, and monitoring.
Discovers, analyzes, and evaluates new data or new uses for existing data to improve the quality, efficiency, and business value of data and analytic solutions.
Discovers, analyzes, and evaluates new pricing and data science methods to improve the quality, efficiency, and business value of data and analytic solutions.
Adheres to planned timelines and milestones. Escalates issues and blockers.
Adheres to documentation, project management, coding, and development best practices.
Candidate Qualifications and Skills
2+ years’ industry experience in data science or insurance pricing/ratemaking roles, with a solid understanding of both. Academic and internship experience may also be considered.
Solid understanding and experience with advanced statistics and modern machine learning techniques such as GLMs, decision trees, forests, boosted ensembles, etc. Solid understanding of principles of insurance ratemaking.
Strong coding skills using common data science tools, such as Python, R, Shiny, SQL, PowerBI, Excel or other statistical programming languages, etc.
Experience in data engineering and processing using SQL, Hive, Impala, Spark, or equivalent querying language
Familiarity with distributed storage and big data computing technology (AWS, Hadoop, Spark, etc.) preferred
Bachelor’s degree in a quantitative discipline, such as statistics, actuarial science, data science, computer science, mathematics, economics, etc. Advanced degree preferred.
Intellectual curiousity and ability to thrive in a team environment that is constantly changing
Demonstrated ability to learn new technical concepts and to adapt to new technologies quickly
Ability to communicate in a clear, concise, professional oral or written manner, to be understood by technical and non-technical colleagues
Location
This is a hybrid role, on-site 3 days per week at Chevy Chase, MD, Chicago, IL, or New York, NY.
Annual Salary
$0.00 - $0.00The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.
Benefits:
As an Associate, you’ll enjoy our Total Rewards Program* to help secure your financial future and preserve your health and well-being, including:
Premier Medical, Dental and Vision Insurance with no waiting period**Paid Vacation, Sick and Parental Leave401(k) PlanTuition AssistancePaid Training and Licensures*Benefits may be different by location. Benefit eligibility requirements vary and may include length of service.
**Coverage begins on the date of hire. Must enroll in New Hire Benefits within 30 days of the date of hire for coverage to take effect.
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.