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14 часов назад

Data Science and Advanced Analytics Internship (GenAI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Science and Advanced Analytics Internship (GenAI) (Python/R, Data Visualization): Analyzing structured, semi-structured, and unstructured data to create models, insights, and analytics products that address business problems with an accent on data collection, visualization, modeling, and measurement. Focus on translating stakeholder requirements into governed data strategies, designing testing approaches, and applying GenAI to text analysis, data extraction, and summarization.

Location: Saint Paul, Minnesota campus, United States. Hybrid work with office attendance three days per week for associates within a 90-minute commute.

Company

Financial services organization providing an enterprise environment for data-driven business solutions and professional development.

What you will do

  • Analyze structured, semi-structured, and unstructured data to develop actionable models and insights.
  • Communicate analytical findings to business stakeholders through visualizations and presentations.
  • Translate business challenges into data science and analytics products and solutions.
  • Design measurement and testing strategies.
  • Develop data collection strategies in line with governance and regulatory guidelines.
  • Apply GenAI tools to comment and text analysis, data extraction, and summarization.

Requirements

  • Experience with R, Python, or related technologies.
  • Strong communication, collaboration, technical proficiency, and ability to learn quickly.
  • Ability to work independently, adapt to change, and solve problems with curiosity.
  • Strong moral and ethical judgment for developing fair and unbiased solutions.
  • Undergraduate students graduating in December 2027 or May 2028.
  • Must not require visa sponsorship now or in the future.

Nice to have

  • Pursuing a degree in Mathematics, Statistics, Computer Science, Analytics, Data Science, Economics, or another relevant technical field.

Culture & Benefits

  • Mentoring and learning resources for interns.
  • Collaborative work with internal stakeholders and established associates.
  • Professional development and personal growth opportunities.
  • Opportunities to engage with Associate Resource Groups and diversity and inclusion initiatives.
  • Volunteer activities supporting the community.
  • Hybrid-work flexibility based on business and personal schedules.

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