10 дней назад
IT Commercial Analytics Intern (Semester 2026) - P&G Management Internship Program (Data Science)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
IT Commercial Analytics Intern (Data Science): Investigating retail and media datasets across more than 10 countries to generate business insights and support analytics initiatives with an accent on machine learning, statistical modeling, and operations research. Focus on building, validating, testing, and deploying data science models into IT platforms while solving cross-functional commercial problems.
Location: Singapore General Office
Company
Procter & Gamble produces globally recognized consumer brands and operates in approximately 70 countries.
What you will do
- Work with the Analytics and Insights team on retail and media analytics problems across brands.
- Investigate point-of-sale, geospatial, product and supply, direct-to-consumer, CRM, TV media, and online search datasets from more than 10 countries.
- Understand business objectives and generate impactful commercial insights.
- Build, validate, test, and deploy machine learning and other data science models into IT platforms.
- Collaborate with cross-functional teams and contribute to real-life projects from the first day.
Requirements
- Full-time availability for a six-month internship.
- Current student or recent academic background in computer science, mathematics, economics, statistics, applied science, or another quantitative field, with a BS, MS, or PhD.
- Proficiency in Python.
- Experience with or knowledge of machine learning, statistical modeling, or econometrics through coursework or internships.
- Familiarity with operations research, including optimization and simulation, and machine learning models such as tree models, deep learning, and reinforcement learning.
- Strong communication, problem-solving, prioritization, and cross-functional collaboration skills.
Nice to have
- Knowledge of big data or cloud environments such as Azure or GCP.
Culture & Benefits
- Hands-on experience with industry-leading analytical tools and technologies from day one.
- Formal training and day-to-day mentoring from IT and Analytics professionals.
- Access to a data science capability-building program.
- Work with passionate cross-functional teams in an inclusive environment.
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