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Data Science - P&G Accelerate Internship (6 months)

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Overview of the role

Are you passionate about taking up challenges?

Are you curious to know how a global industry leader operates in the world of Big Data?

Are you ready to make a lasting impact by accomplishing business-critical assignments leveraging data and technology?

We welcome you to apply and join P&G Data Science Internship Program in our General Office in Singapore!

Your Team

You'll be working with passionate people and receiving both formal training as well as day-to-day mentoring from your manager and technical coach.

What Success Looks Like

Data Scientist (DS) at P&G are a specialist group belonging to the Data Science & Analytics team in IT Department. Data scientists provide the technical expertise and data-driven insights about consumer, retailer and market. As a Data Science Intern, you should be analytical, a problem solver, excellent in communicating, and have the passion to lead and make things happen.

Key Internship Expectations

You have responsibilities as of Day 1 – you will be given specific real-life projects and responsibilities, e.g. retail analytics, consumer analytics, media analytics, etc. You take ownership of your project from the beginning.

You will gain phenomenal, real-life experience in a world-class work environment that uses state-of-the-art technology.

Work and be part of a dynamic and supportive environment – employees are at the core, we value every individual and support initiatives, promoting agility and work/life balance.

We love flexibility! You can arrange your work schedule based on your personal needs; you will experience true support for work/life effectiveness and your long-term well-being.

You are a top talent, current university (Bachelor's or Master's degree) student in Computer Science, Mathematics, Economics, Statistics, Applied Science or other quant-focused field. Preferably has less than 1 years to graduate, and can commit to a 6 month internship.
Possesses strong technical skills, proficient to code in Python or R, and able to query using SQL and analyse data on a big data environment. Knowledge on Hadoop and SPARK preferred.
Have experience or coursework in statistical modelling, machine learning or econometrics. Experience in Kaggle or other data analytics competition is a plus.
Are comfortable collaborating cross-functionally – with people from different levels, backgrounds and experiences.
Are open-minded and willing to continuously stretch yourself to learn new things and grow as a professional.
Takes initiative, show flexibility, display solution oriented mindset and have strong time management skill.
Have strong interpersonal and communication skills.

About us
We produce globally recognized brands and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able to lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide.

Visit to know more.

Our consumers are diverse and our talents - internally - mirror this diversity to best serve it. That is why we’re committed to building a winning culture based on Inclusion and our ideal candidate is passionate about the same principle: you will join our daily effort of being “in touch” so we craft brands and products to improve the lives of the world’s consumers now and in the future. We want you to inspire us with your unrivaled ideas.

We are committed to providing equal opportunities in employment. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, veteran status, HIV/AIDS status, or any other legally protected factor.
Job locations:
Singapore, Singapore, Singapore
Job Type: Full-time Job categories: Research & Development Req No: ASI00000865
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