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Job Location
Brussels
Job Description
Are you passionate about the science behind products? Do you want to develop innovations for the world's biggest brands? Then a technical career at P&G could be what you are looking for!
Join us for an internship and you could soon leave your mark in fields like natural sciences, materials, automation, sustainability, analytics, simulation and modelling through your project.
We are looking for R&D Data Science intern who will help Fabric & Home Care by leveraging data-driven insights through machine learning and deep learning techniques, including convolutional neural networks, to enhance product and packaging performance and innovate solutions that meet consumer needs. In this role, you will analyze consumer data and develop predictive models all while collaborating with a dynamic team.
YOUR CONTRIBUTION TO P&G’S SUCCESS:
YOU ARE THE RIGHT FIT IF YOU ARE/HAVE:
If studying at a Belgian university, please make sure you consult with the internship department at your school to agree on the paid internship we offer.
YOUR ADVANTAGES:
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 Schedule
Full time
Job Number
R000138382
Job Segmentation
Internships
Brussels
Job Description
Are you passionate about the science behind products? Do you want to develop innovations for the world's biggest brands? Then a technical career at P&G could be what you are looking for!
Join us for an internship and you could soon leave your mark in fields like natural sciences, materials, automation, sustainability, analytics, simulation and modelling through your project.
We are looking for R&D Data Science intern who will help Fabric & Home Care by leveraging data-driven insights through machine learning and deep learning techniques, including convolutional neural networks, to enhance product and packaging performance and innovate solutions that meet consumer needs. In this role, you will analyze consumer data and develop predictive models all while collaborating with a dynamic team.
YOUR CONTRIBUTION TO P&G’S SUCCESS:
- You will get a chance to gain industrial experience and experience what working with us is like;
- You will be responsible for your own project(s) from day 1 and put your technical skills to work on some of the toughest technical challenges;
- You will improve your collaboration and management skills through practical experience and interactive training courses;
- You get to experience the working environment in a leading international company and learn to work effectively with people of different nationalities and cultural backgrounds.
YOU ARE THE RIGHT FIT IF YOU ARE/HAVE:
- Masters students in Software engineering, Data science, Data engineering, instead of just Software Engineering.
- Students who will be enrolled at university for the full period of the internship
- Demonstrated history of academic excellence at all stages through school and university education
- Good command of English
- Passion and ability to take initiative and make things happen
- Be technically curious, creative and innovative
- Have a good communication and collaboration skills
- If studying at a Belgian university, please make sure you consult with the internship department at your school to agree on the paid internship we offer.
If studying at a Belgian university, please make sure you consult with the internship department at your school to agree on the paid internship we offer.
YOUR ADVANTAGES:
- A temporary contract for the duration of your internship, with an attractive compensation package;
- Monthly allowance: 2366 EUR brut/month, prorated 13th month based on the months worked during your internship period;
- A flexible benefits plan to customize to your personal needs and kilometer allowance/public transport reduction;
- Access to Benefits at work platform: A large benefits platform with employee discounts on renowned shops and online commercial platforms as well as on leisure activities and well-known amusement parks;
- Working in an international and inclusive environment, with diverse and supporting colleagues;
- Continuous self-development via coaching, trainings and a general Growth Mindset working environment;
- A vibrant and modern working environment, supporting employees’ wellbeing:
- Subsidized company restaurant;
- On-site vibrant Café for breaks and less formal meetings;
- On-site fitness room and possibility to join regular group sport activities;
- Flexibility in terms of working hours;
- Employee Assistance Program: free professional counseling services, work-life resources, and mental health support.
- Supporting employee's commute: plenty of parking facilities for both cars and bikes, shower facilities, shuttle between Heizel metro and the office, carpooling community.
- Our hiring process consists of three main steps: 1) application, 2) online assessments and 3) interviews. Click here to get all the tips to be fully prepared.
- P&G is driven to make life better, not just within the company, but across the globe. Click here to check out how we make a meaningful impact on the world.
- We are the world’s largest consumer goods company. Click here to discover about our iconic brands.
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 Schedule
Full time
Job Number
R000138382
Job Segmentation
Internships
Key Skills
Ranked by relevance
machine learning
neural networks
deep learning
simulation
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- Posted
- Dec 11, 2025
- Type
- Full-time
- Level
- Not Applicable
- Location
- Brussels
- Company
- Procter & Gamble
Industries
Manufacturing
Categories
Research
Science
Engineering
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