Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
ЗП не указана
На похожих ролях по рынку
$58к$84кмедиана$125к
48 в выборке
70
Хорошая вакансия
развернуть
Стажировка предлагает практический опыт в уважаемой компании с четким акцентом на машинное обучение и аналитику, но отсутствие информации о зарплате является недостатком.
Кликните для подробной информации
Нет информации о зарплатеУважаемая компанияПрактический опытГибридный формат
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Risk Modeling Intern (Machine Learning): Designing advanced analytics, forecasting, and predictive models for insurance and financial-services business decisions with an accent on machine learning, traditional statistical modeling, and exploratory data analysis. Focus on working with large structured and unstructured datasets, interpreting complex models, and communicating insights to non-analytical users and model governance teams.
Location: Raleigh, North Carolina; hybrid schedule at Enact Headquarters.
Company
hirify.global's Enact subsidiary is a publicly traded U.S. private mortgage insurance provider offering products that help lenders support responsible homeownership.
What you will do
Design, create, and implement advanced analytics, forecasting, and predictive models using machine learning and traditional statistical techniques.
Analyze large structured and unstructured datasets through exploratory data analysis.
Generate insights to support business decisions and optimize business processes.
Communicate models and methods clearly to non-analytical business users and model governance teams.
Requirements
Be an undergraduate junior or first-year graduate student in a quantitative research field such as Statistics, Econometrics, Computer Science, Demography, Actuarial Science, Mathematics, Data Science, Quantitative Social Sciences, Epidemiology, Engineering, or a related field.
Have experience applying machine learning algorithms to data.
Have previous coding experience in Python, R, SAS, or a related language.
Be able to communicate complex ideas to a variety of audiences.
Have a desire to analyze and interpret data in the insurance, banking, or financial services industries.
Maintain a minimum GPA of 3.2 on a 4.0 scale.
Strong work or project experience is considered for all majors; preference is given to candidates pursuing Statistics, Mathematics, Operations Research, Computer Science, Economics, or Finance degrees.
Nice to have
Proficiency in Excel, Word, and PowerPoint.
Exposure to insurance, banking, or financial services industries.
Knowledge of cloud data services such as Snowflake or AWS.
Experience with Structured Query Language.
Culture & Benefits
Participate in a 12-week internship beginning May 17, 2027.
Attend weekly intern events, teambuilding activities, professional development workshops, and volunteer opportunities.
Network with company leaders, including the CEO, and build relationships with peers and mentors.
Work on meaningful business projects in an inclusive environment that values excellence, improvement, connection, innovation, and diverse perspectives.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →