Data Engineer Internship

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Job Description

Ready to fuel the success of world-class brands like Dash, Gillette, Pantene and Oral-B that millions of consumers can’t live without? Ever dreamt of a career where you are fully supported by best-in-class training and development to progress to leadership? Want to work for a Company consistently recognized as one of the top graduate employers?

Data Science and Engineering is where business, innovation and technology integrate to build a competitive advantage for P&G. Our mission is clear-- we deliver technology to help win with consumers. Our Data Scientist are diverse business leaders who apply technological skills to deliver ground-breaking business models and capabilities. Whether your role is to build an IT innovation strategy for a business, protect our critical information systems and assets, or lead a strategic supplier in our cutting edge shared services organization, your technical skills will be recognized and rewarded. 

As an intern in Data Engineering, you will:

• Develop and maintain minimal viable prototypes to scalable data pipelines that will ingest, transform and distribute numerous data streams and batches in support of key Market Operation initiatives.
•  Support and collaborate with Data Scientists to develop advanced machine learning and statistical models.
• Evaluate tools and develop pipelines to capture, integrate and clean data to support edge analytics solutions.
•  Deliver optimal data solution architectures, automation and technical choices starting from experimentation through proof of concept and often through delivery. 
• Grow your skills continuously, improving your mastery in big data. You will have the opportunity to explore new ways to learn and to connect with internal and external guides worldwide.

WE OFFER YOU:

• Responsibilities as of Day 1 – You will be given specific projects and responsibilities working on real and live business challenges, just like a true P&Ger; 
• Continuous coaching – You will work with passionate people and receive both formal training as well as day-to-day mentoring from your manager;
• Dynamic and respectful work environment – Employees are at the core, we value every individual and encourage initiatives, promoting work/life balance.

At P&G #weseeequal

We are an equal opportunity employer and value diversity at our company. We do not discriminate against individuals based on 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.

At P&G we strive to build a culture where everyone feels welcome, included, and able to bring their full selves to work. Our mission of Diversity and Inclusion is: “Everyone valued. Everyone included. Everyone performing at their peak”. We ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process.

Please click here if you require an accommodation during the application process. Please make sure to wait to hear back from us regarding your accommodation before proceeding with the online assessment, we thank you in advance for your patience. 

Job Qualifications

• Be a penultimate or final year Master student from one of the following degree sets: Statistics, Applied Mathematics, Economics, Computer Science, Data Science, Business Analytics, Operation Research, Software Development, Computer or Electrical Engineering or a similar quantitative field.
• Have Academic excellence at all stages through school and University education.
• Have a good knowledge of English.
• Proven leadership and teamwork skills, with a “can-do” approach and an unusual skew to innovate.
• Familiarity with machine learning workflows and data pipelines.
• Nice to have: experience with Analytical Tools/Applications such as:
  • Scientific Computing: Python, SQL, Pyspark;
  • Data Visualization: Power BI
  • Basic concept of Big Data Ecosystem: Spark, SQL Databricks, Git.
  • Basic concept of Microsoft Azure Platform and Google Cloud Platform.
• Have availability for a minimum 6 months of internship.

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