Corecom Consulting are supporting a large, global organization on a data-driven pricing initiative and are looking for an experienced Data Scientist / ML Engineer to join a cross-functional product team. You'll play a key role in developing and deploying machine learning models that influence pricing decisions at scale.
What you'll do:
- Collaborate closely with a multidisciplinary product team including Data Scientists, Data Analysts, ML Engineers and Software Engineers
- Develop price elasticity and quantity forecasting models using machine learning techniques
- Apply these models within a price optimization framework
- Contribute to pricing recommendations used across multiple international markets
- Proactively engage in scoping, prioritization and solution design with the wider product team
- Support end-to-end model development, from experimentation through to production deployment
Essential experience & skills:
- 5+ years of hands-on experience delivering machine learning solutions in production environments
- Strong understanding of machine learning fundamentals, including the underlying statistics and mathematics
- Advanced Python skills and solid experience working with SQL for data manipulation
- Proven track record of deploying models into production and understanding the end-to-end ML lifecycle
- Strong communication skills and the ability to collaborate effectively across technical and non-technical stakeholders
Nice to have:
- Experience with forecasting models and/or price optimization algorithms
- Exposure to Google Cloud Platform (GCP)
Details:
- 6-8 month initial contract
- Hybrid Amsterdam x2 a week
- Interim payroll contract (No ZZP)
- 80-90 per hour = 5500 -6500 net monthly salary
- (Inc paid leave, pension contribution and expenses)
Key Skills
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- Posted
- Jan 09, 2026
- Type
- Contract
- Level
- Mid-Senior
- Location
- The Randstad
- Company
- Corecom Consulting
Industries
Categories
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