Seniority Level: Mid-Senior Level

Ownership

The Purpose:
At AB InBev, dreaming big is what we do. Brewing the world’s most loved beers, building iconic brands like Leffe, Stella Artois, Corona, and crafting meaningful moments are what inspire us.
The Global Risk Management team is looking for a Data Scientist who will be developing innovative ways of solving complex business problems through the use of data analytics with an Agile approach.
You will work with a highly dynamic and high-performing team, who will perform internal audit projects across Zone Europe and on a global level, reviewing all areas of the organization to provide assurance and solve real business problems, understand underlying processes, and make recommendations to add value to the business. You will also grow a wide network of contacts at all levels in the Zone and globally.
We’re a team of passionate owners who aren’t afraid to dream big because we know that we can achieve anything together. To build a more sustainable, inclusive, and rewarding future. Turning any challenge into an opportunity. So let’s take on the challenge together.
Cheers to dreaming big!

What will you be doing:

• Use your data analytics expertise to leverage available data sets to bring actionable and value-adding analysis to stakeholders and solve complex business issues such as; use machine learning tools and statistical techniques to find previously unknown solutions to current problems. Test data mining models to select the most appropriate ones for use on a project. Build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers during the project.
• Depending on the review, either be part of the team or perform a review on your own supported by the manager and/or director of the department.
• Act as an owner for your part of the reviews. You will conduct interviews, understand the processes, perform in-depth analysis and create visibility that didn’t exist before.
• Create and validate recommendations for presentation to senior management based on your findings.
• Practically use and regularly improve your technical/functional knowledge as well as learn new things through our department academy. You will also be supported by our team of data scientists.
• Need to step out of your comfort zone and develop your contact network in a highly dynamic environment.
• Be required to tackle new problems and learn new processes on average every 3 months.
• Be part of and embrace the Agile framework to perform risk reviews.

What you’ll bring:

• At least 3 years of work experience in position where you developed your business knowledge and analytical skills (e.g. business analyst, consultant, business controller, data analyst).
• You have a proven track record in big data techniques and programming, ideally query languages (SQL and variations), data mining or reporting tools (Python, R, PowerBI, web crawling, etc.). You are able to build the MVP (Minimum Viable Product) of your data model with the help of our data scientists for your biggest challenges.
• You have a problem-solving mindset, you do not stop investigating until you have found the root cause of the issue.
• You are a good communicator, capable of clearly describing complex problems and recommending solutions to senior management (stakeholder management experience).
• You are fluent (Oral and Written) in English. Any other language is an asset.

Good to have and willing to develop the skills:

• Any knowledge of SAP that you can leverage to perform in-depth analysis during reviews.
• A good understanding of basic accounting and finance principles.
• Experience with Agile methodology approach to run projects

We also offer great Benefit & Perks packages!

• Customized benefits program linked to work-life balance: loyalty points/transport benefits & others
• Competitive parental leave and pension contributions (2,5%)
• 25 days of holidays per year
• Employee benefits to help your physical and mental health and overall well-being (Accident, Health, and Luggage insurance, discounted services like HP Market, Multisport Card, GS Pharmaceuticals, Datart, Adidas, Balance Club etc.)
• A beer allowance to enjoy our brands
• Meal vouchers
• Employee networks to support diversity and inclusion
• Local Bonus
• Learning and development opportunities (external/internal sessions + mentoring)
• 26 weeks of paid leave for primary caregivers

What you can expect from us:
In this role, you’ll have the potential to transform our business and your career. You’ll get the support and mentor you need to succeed. We’re a meritocracy, with plenty of room for growth and development, so you know your hard work will be rewarded. We encourage you to think big and go after your goals. You’ll get to be creative, work with international teams so you can build a global network and have direct control over your career and where it takes you.
We are building a team that’s more supportive, more inclusive and more collaborative. A team that’s diverse in background, skills and experience.
So if you dream big but are concerned you’re not a perfect fit against the job description, we’d still encourage you to apply. You may be just the right candidate to help us create a future with more cheers.
As the leading global brewer, we are committed to bringing people together for a better – and more equal – world. A more equal world starts when everyone can thrive. At AB InBev we value the diversity of cultures, perspectives, skills and experiences within our workforce, and we strongly encourage women, people of colour, LGBTQ+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply.

LI-ABI ZoneEUR

• Use your data analytics expertise to leverage available data sets to bring actionable and value-adding analysis to stakeholders and solve complex business issues such as; use machine learning tools and statistical techniques to find previously unknown solutions to current problems. Test data mining models to select the most appropriate ones for use on a project. Build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers during the project.
• Depending on the review, either be part of the team or perform a review on your own supported by the manager and/or director of the department.
• Act as an owner for your part of the reviews. You will conduct interviews, understand the processes, perform in-depth analysis and create visibility that didn’t exist before.
• Create and validate recommendations for presentation to senior management based on your findings.
• Practically use and regularly improve your technical/functional knowledge as well as learn new things through our department academy. You will also be supported by our team of data scientists.
• Need to step out of your comfort zone and develop your contact network in a highly dynamic environment.
• Be required to tackle new problems and learn new processes on average every 3 months.
• Be part of and embrace the Agile framework to perform risk reviews