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Clarity AI

Clarity AI - Product Research & Innovation Intern

Hybrid - Latin America *2d ago
In OfficeInternLATAMData AnalyticsInternProduct Management InternSQLPythonTeam ManagementReportingBusiness Development

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Requirements

• Outstanding quantitative and critical thinking skills. • Experience in identifying, analyzing, and interpreting patterns and trends in complex datasets. • Strong organization and project management skills. • Experience with Python and/or SQL required. • Years of Experience: 0-1 years of internship experience. • Educational Background: Bachelor’s degree in Engineering, Economics, Physics, Mathematics, or similar. • Self-starter who will thrive in a start-up setting by taking ownership and initiative. • Decisive and action-oriented who can get things done, make rapid decisions even when they are short of information, and someone who has high energy and stamina. • Highly motivated, independent, and deeply passionate about sustainability and impact. • Excellent oral and written English communication skills (minimum C1 level-proficient user).

Responsibilities

• The Product Research & Innovation Intern will be responsible for a mixture of tasks and consequently, some flexibility will be expected. The role will include, but not be limited to, the following activities: • Product Research & Innovation Intern • Interpreting data and responding to product-related questions from rated companies, engaging with subject matter experts as needed. • Interpreting data and responding to product-related questions • Developing a deep technical knowledge of our clients and on the data product to be able to resolve rated companies’ queries. • resolve rated companies’ queries • Identifying opportunities for product improvements based on your interactions with rated companies and discussing with the product team the product roadmap. • opportunities for product improvements • Coordinating and working closely with other teams (e.g., product management, data engineering, data science, business development) to define, create and validate new models and features for our regulatory offering • Assessing trade-offs between different methodological options and proposing the most appropriate solution for our clients. • Identifying, understanding and evaluating data issues regarding our regulatory solutions • Preparing reports to document insights and findings, and presentations to communicate results to stakeholders and clients. • Location 🌍

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