Data Scientist Intern role at P&G developing AI models for consumer analytics. Collaborating in a diverse team to improve user experiences while gaining hands-on experience in a global setting.
Responsibilities
Join a renowned company, working with a large team of Data Scientists to improve the lives of billions of consumers.
Take ownership of an algorithm/model need and apply state-of-the-art artificial intelligence to formulate problems, analyze data, and present solutions.
Mine terabytes of data and develop models and algorithms to derive actionable insights.
Partner with business leaders to understand problems and collaborate with data engineers to automate and deploy models.
Analyze and model big datasets, translating consumer behavior into actionable recommendations.
Answer business questions and propose solutions using machine learning techniques and algorithms.
Discover and invent next-generation analytic capabilities for category analysts and business partners.
Requirements
Active undergraduate student in Latin America with 6-24 months left to graduate.
Academic background in Science, Technology, Engineering, or Mathematics.
Knowledge in algorithmic development, deployment, and monitoring practices.
Proficient in Python and experience working with cloud environments.
Capable of developing Machine Learning and/or optimization models.
Written and spoken proficiency in Spanish and English.
Strong teamwork, analytical skills, problem solving and end-goal oriented attitude.
Comfortable collaborating with people from different levels, backgrounds and experiences.
Strong passion to continuously learn new things and grow as a professional.
Benefits
Accommodations for applicants with disabilities during recruitment
Responsibilities from Day 1, allowing ownership and leadership of projects.
Continuous coaching and mentorship for knowledge and management abilities.
Dynamic and respectful work environment promoting agility and work/life balance.
Opportunities to become a full-time employee after successful internship completion.
Relocation support to Panama and collaboration in international teams.
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