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)