Job Location

BRUSSELS INNOVATION CENTER

Job Description

Do you want to belong to one of the most advanced Data Science groups in the industry, developing advanced AI, ML and optimization algorithms, and applying Operations Research techniques?

Do you have passion for technology and desire to learn and grow continuously?

A career in IT Data Science & Analytics at P&G will build your Data Science and Analytics skills, develop your ability to influence and think strategically and will provide you a breadth of experience across multiple internal businesses and type of work (whether you do Analytics for Marketing, Sales, Supply Chain).

As a Data Scientist for the Supply Chain you will belong to an award-winning Analytics / Operations Research community that is global in scope, and operates across P&G’s supply chains.

Find out more about IT at P&G at www.youtube.com/watch?v=1ial3aeA9SE .

YOUR CONTRIBUTION TO P&G’S SUCCESS:

Our Data Scientists in IT Data & Analytics at P&G are:

• Passionate about Analytics: the ability to mine terabytes of data, develop models and algorithms to derive actionable insights, and then translate those insights into business is important in our work. In this role you will provide consulting services to P&G business units in Europe, India, Middle East and Africa; you will use mathematical modelling, decision analysis and simulation to provide business insights to various aspects of the supply network (supply chain design, inventory modelling, capacity analysis, distribution flow and purchasing analytics). You will get to know a wide variety of supply chains and you will influence multi million-dollar decisions. You will act as primary enthusiast for the power of technology, data, and predictive and prescriptive analysis.

• Effective communicators, self-driven and able to drive insights into actions that improve business results. Interpersonal and communication skills are crucial to thrive in a multi-functional leadership team. Your job is to communicate complex data or algorithms into simple conclusions that will empower others to act based on the insights you derive.

• Technically Capable: Data Scientists “roll up their sleeves”, using data visualization (Spotfire, Tableau), and analytic tools (R, Python, SAS, JMP, Hive/Impala, etc.) to grasp the business building insights in our mountains of data. You should be adept at applying such technologies for solving ad hoc business problems, innovating on potential future solutions, and working with technology partners to translate your innovations into robust, scaled, analytic solutions.

Job Qualifications

YOU ARE THE RIGHT FIT IF YOU ARE/HAVE:

• A Master in a quantitative degree (Operation Research, Statistics, Systems Engineering, Decision Sciences, Computer Science, Applied Math, Economics etc.);

• English fluency;

• Strong technical & analytical skill (R, SAS, SQL, optimization, simulation, predictive modeling etc);

• Great leadership skills, problem solving and priority setting;

• Excellent collaboration skills and working comfortably across teams;

• have passion to transform how decisions are made through adhoc & scaled application of analytics;

• preferably have some experience in CPG (FMCG), supply chain, analytics or consulting; can demonstrate success at deriving insight from data and effectively communicating those insights to drive action.

YOUR ADVANTAGES:

• A fixed contract, with an attractive compensation package;

• Competitive pay, including monthly salary, 13th month at the end of the year as well as an annual variable bonus.

• A flexible benefits plan to customize to your personal needs and kilometer allowance/public transport reduction;  

• Hospitalization plan after 6 months of employment, pension plan, life insurance plan, long term illness insurance and stock purchase plan;

• 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 and remote working for a good balance between personal needs and the job to be done.

· Employee Assistance Program: free professional counseling services, work-life resources, and mental health support.

• Supporting employees’ commute: plenty of parking facilities for both cars and bikes, shower facilities, shuttle between Heizel metro and the office, carpooling community.

ARE YOU EXCITED ABOUT THE ROLE? DEEP DIVE INTO P&G AND CHECK THE BELOW INSIGHTFUL LINKS:

• 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.

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 Schedule

Full time

Job Number

R000116993

Job Segmentation

Recent Grads/Entry Level (Job Segmentation)