Actuarial Data Scientist – Retention Modeling

🕒 Abril 2

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $101.167 - $204.439 / ano

⏰ Tempo Integral

🟢 Júnior

🟡 Pleno

📊 Cientista de Dados

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Mercury Insurance

SiteLinkedInTodas as Vagas

5001 - 10000 funcionários

Fundada em 1962

💸 Finanças

👥 B2C

Insurance • Finance • B2C

A Mercury Insurance é um provedor líder de produtos de seguro, focando em proteger indivíduos e seus bens com um compromisso com a privacidade e o atendimento ao cliente. A empresa opera através de agentes independentes e oferece uma variedade de serviços de seguros, incluindo seguros de automóveis, residenciais e outros produtos de seguro pessoal. A Mercury Insurance prioriza a segurança das informações pessoais e a conformidade com as leis de privacidade, garantindo que os dados dos clientes sejam manuseados com cuidado e compartilhados apenas quando necessário para o atendimento de contas ou conforme exigido por lei.

Descrição

• Support analytical projects on identifying business opportunities and developing business solutions • Understand business needs and create research and implementation plans using data, statistical models and machine learning techniques • Work closely with cross-functional teams of software engineers, data analysts and product leaders • Identify the right business sources and conduct project work on assigned projects • Perform ad-hoc analyses using statistical and machine learning algorithms to improve business processes • Create monitoring procedures and reports for projects implemented • Retrieve large amounts of structured or unstructured data using advanced data manipulation techniques • Create and improve dynamic reports, graphs, and charts • Establish automated procedures to help reduce cost and improve efficiency • Communicate proactively and clearly with SMEs, EBI, IT, and Management

🎯 Requisitos

• Bachelor’s degree in math, statistics, computer science or other related areas • Master’s Degree (or ACAS/FCAS) preferred • 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, SAS) required • At least 1 year experience working as a data scientist or similar role, with proven track record in data processing, predictive modeling, and machine learning techniques • At least 1 year of experience in insurance or financial service related fields • Demonstrated solid skills in data mining, machine learning, programming and optimization • Knowledge with cloud-based advanced data and analytics environment • 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 skills required • Excellent analytical and critical thinking required • Excellent written and verbal communication skills required.

🏖️ Benefícios

• 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