Applications are invited for Data Science Internship at Procter & Gamble, Mumbai for the year 2024.
About P&G
Procter & Gamble is one of the largest FMCG (Fast Moving Consumer Goods) company in the world with strong brands like Pampers, Ariel, Always, Gillette and Oral B just to name a few.
About the Internship Program
Our internship program allows you to gain practical hands on experience with industry leading analytical tools and technologies from Day 1. You’ll be working with passionate cross-functional teams, all while receiving both formal trainings and day-to-day mentoring from our IT and Data Science professionals.
Internship Projects Typically Revolve Around the Following:
- You’ll be either in the central data scientist team taking on retail and media analytics problems that are general across brands, or you’ll be in the embedded data scientist team addressing eCommerce and consumer problems and being very close to a brand.
- You’ll be tasked on real-life projects and responsibilities from Day 1 – understand business objectives and generate impactful insights by investigating datasets of point-of-sales, geospatial, product & supply, DTC, CRM, TV media, online search, etc from more than 10 countries across the region.
- You’ll build, validate, test and deploy machine learning or other data science models into our IT platforms.
- We love flexibility! You can arrange your work schedule based on your personal needs; you will experience true support for work/life balance and your long-term well-being.
Eligibility
- We look for leaders with strong academic results in a BS, MS or PhD in Computer Science, Mathematics, Economics, Statistics, Applied Science or other quant-focused field.
- Proven use of machine learning, statistical modelling or econometrics in internship or coursework. Possesses personal Git repo and experience in Kaggle or other data analytics competition is a plus.
- Enjoy using Python, SQL and other scripting/programming languages to solve real-life problems. Knowledge on big data environment and Spark is preferred.
- Excellent written and verbal communication skills to influence others to take action.
- Comfortable collaborating cross-functionally – with people from different functions, backgrounds and experiences.
- Leadership in extra-curricular activities.
- Possess strong thinking/problem-solving skills which can be applied to business processes with a can-do attitude.
- Proven capability to handle multiple priorities.
