Description
YOUR FUTURE EMPLOYER
From its foundation 185 years ago as a soap and candle start-up, P&G today is a leading consumer goods company. We are home to iconic, trusted brands that touch 5 billion consumers worldwide and make life a little bit easier in small but meaningful ways.
Our people are our greatest asset : with our philosophy of promotion from within, we place strong emphasis on employee development and are committed to finding and fostering world-class talent.
Learn from our inspiring leaders, shape our supportive and welcoming culture, and place your personal development at the core of your work!
YOUR ROLE
As Intern for Data Science, ML and AI in P&G's German Innovation Center (GIC), you build and optimize Data models and Algorithms.
You will use ML and AI techniques in combination with R&D Data and models to provide meaningful contributions and impactful results.
Work on groundbreaking algorithms on semantic segmentation of 3D structures fine tuning and refining the algorithm. You will have access to our powerful GPU systems and coaching from the team.
Work on meaningful projects with business impacts using GEN AI such as stable diffusion and GAN enabling an E2E digitization and characterization capability.
Collaborate with other students and university connections in the field to broaden your knowledge and expertise.
Apply AI & M&S technologies to enhance material science research and optimize consumer goods product development, driving innovation and improving product performances.
Job Qualifications
YOUR PROFILE
You are a bachelor or master student with a minimum of 2 semesters of studies completed and strong academic results (preferably in Computer Science, Data Science, Computer Vision and AI / ML).
You are available for a duration of 3-6 months.
Proficiency in English.
Experienced in coding with Python, SQL, Tensorflow / Pytorch, Data Analytics and Segmentation Algorithms.
Experience with Mathematical modelling and Knowledge in Material / Porous Media characterization is a plus.
Experience with KNIME and PowerBI is a plus.
Experience with cloud-based systems such as Azure and Data bricks is a plus.
Experience in Git based systems, e.g., GitHub, is a plus.
Ability to demonstrate leadership by approaching and solving challenges.
WHAT WE OFFER
Exciting work and responsibility from Day 1.
A competitive internship salary (monthly starting salary 2,100€).
Wide range of social benefits : e.g., flexible work environment, regular intern social connects, a buddy program, campus services such as fitness center and canteen etc.
A customized personal development plan including relevant coaching, mentorship, training-on-the-job, and a large portfolio of individual upskilling opportunities.
The experience to be an integral part of our multi-functional teams of passionate and inspiring people with flat hierarchies to get to know the unique P&G culture.
Collaborate & manage multi-functional teams with international spirit, work with colleagues across regions and all levels.
The option to combine your internship with your Bachelor / Master Thesis.
APPLICATION
To optimally prepare for our online assessment & interviews, make sure you fully understand our assessment process
CV as a separate document
Cover letter for the specific role you are applying for (optional)
Copy of university diploma (if applicable) and transcript
Copy of relevant work, internship and volunteering certificates or reference letters
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 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 Schedule
Full time
Job Number
R000110740
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