Offers “Procter & Gamble”

Expires soon Procter & Gamble

Data Engineer - Internship

  • Rome (Città metropolitana di Roma Capitale)
  • IT development

Job description

Do you enjoy design research and analytic frameworks? How would you like to use your creative and analytical skills alongside business leadership in your everyday work!

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 ourcutting edge shared services organization, your technical skills will be recognized and rewarded. 

Data Engineers:

In this role, you will be developing and maintaining 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. You’ll be supporting and collaborating with Data Scientists to develop advanced machine learning and statistical models. We need someone who can evaluate tools and develop pipelines to capture, integrate and clean data to support edge analytics solutions, as well as deliver optimal data solution architectures, automation and technical choices starting from experimentation through proof of concept and often through delivery. 

WE OFFER YOU:

·  Responsibilities as of Day1 – you will feel the ownership of your project from the beginning, and you will be given specific projects and responsibilities from a team that includes senior management and experience the impact you can have in our business early on
·  Continuous coaching – you will work with passionate people and receive both formal training as well as day-to-day mentoring from your manager, enabling you to grow in a multifunctional, diverse environment and developing your talents and ideas
·  Dynamic and respectful work environment – employees are at the core, we value every individual and encourage initiatives, promoting agility and work/life balance
·  Benefits - we offer an attractive remuneration package on top of a great learning experience, and the best interns have potential to receive a Job Offer after they graduate

At P&G #weseeequal

We are an equal opportunity employer and value diversity at our company. At P&G we strive to build a culture where everyone feels welcome, included, and able to bring their full selves to work.

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

REQUIREMENTS FOR THE ROLE:

·  Be a penultimate or final year 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
·  Demonstrated leadership in applying and scaling Analytic techniques to deliver measurable insights from data
·  Familiarity with machine learning workflows, sensors and IoT cloud architecture (desirable)
·  Preferred Experience with Analytical Tools/Applications:
·  Scientific Computing: Python, SQL;
·  Data Visualization: Power BI
·  Basic concept of Big Data Ecosystem: Hadoop, Spark, MapReduce, SQL,Hiv
·  Basic concept of Microsoft Azure Platform

Job Schedule
Full time

Job Number
R000096829

Job Segmentation
Internships (Job Segmentation)

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