or apply directly on AB InBev | Growth Group's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 16 days AB InBev | Growth Group's roles stay open a median of 36 days
- Reposted
- No
- Salary listed
- No 12% of AB InBev | Growth Group's roles list one
- Ghost-job risk at AB InBev | Growth Group
- high 28 stale, 3 reposted of 69 open
- Hiring momentum
- 106 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from AB InBev | Growth Group's own greenhouse board since 2026-08-03. Full hiring picture for AB InBev | Growth Group.
About this role
As an Intermediate Data Scientist at AB InBev, you will collaborate with team members to analyze complex datasets and develop machine learning and deep learning algorithms aimed at optimizing portfolios and generating insights. You will utilize cloud platforms like Azure and Databricks, and work with Python/PySpark for data manipulation and automation. The role involves close collaboration with cross-functional teams to deliver high-quality solutions in an agile environment.
- benefits
- 5/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of AB InBev | Growth Group as an employer.
What you need
- Bachelor's degree in computer science, engineering, mathematics, or any quantitative field
- Strong technical skills and deep understanding of frontier algorithms in machine learning and deep learning
- Familiarity with techniques for portfolio optimization, recommendations, personalization, promos, segmentation, imputation, and insights discovery
- Proficiency in machine learning frameworks such as TensorFlow or PyTorch
- Experience working with cloud platforms such as Azure, Databricks, and Spark for big data processing and analysis
- Proficiency in Python/PySpark for data manipulation, analysis, and modeling tasks
Nice to have
- Master's degree
- Familiarity with other collaboration tools
- Experience with automation workflows
What you get
- Performance based bonus
- Attendance Bonus
- Private pension plan
- Meal Allowance
- Casual office and dress code
- Days off
Worth weighing
- No salary listed
- The role involves working with complex datasets and advanced algorithms, which may require a steep learning curve for those less experienced in machine learning frameworks.
- The position requires collaboration with various teams, which may lead to a dynamic but potentially chaotic work environment.
Summarised from AB InBev | Growth Group's posting. Read the full original.
Listed by AB InBev | Growth Group on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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