Pricing and Data Science Specialist
Core
Design and optimize global pricing strategy and data-driven pricing models for a CHF 1.4B+ aftermarket services portfolio across 45 countries.
Role type
Senior IC data scientist specializing in commercial strategy and pricing analytics
Builds
Pricing APIs, data pipelines, AI-assisted price recommendation engines, and executive dashboards
Domain
Industrial engineering services (pumps, turbines, compressors) and commercial strategy
Required skills
Python, R, machine learning (scikit-learn, XGBoost, TensorFlow), API development, data pipeline construction, data visualization (Qlik, Power BI, Tableau), business case development, stakeholder management
Preferred skills
MBA from Tier 1 college, experience at top-tier consulting firms (McKinsey, BCG, Bain, Deloitte, ZS), SAP/ERP integration, LLM tools (OpenAI, Anthropic, Hugging Face)
Technologies
Python, R, scikit-learn, XGBoost, TensorFlow, REST APIs, SAP, Qlik, ZEST, OpenAI, Anthropic, Hugging Face, Power BI, Tableau
Responsibilities
Design global pricing strategy covering OEM spares, repair pricing, and VBP models; Build and deploy data-driven pricing models to close coverage gaps; Develop pricing tools and frameworks for consistent market-responsive decisions; Lead profitability analyses and contract price governance; Build pricing dashboards for real-time visibility into hit rate and GP; Apply machine learning and AI for pricing optimization and customer segmentation; Design and build pricing APIs and data pipelines connecting to SAP, Qlik, and ZEST; Develop AI-assisted price recommendation engines and automated escalation logic; Create Qlik dashboards for key pricing KPIs; Lead digitalisation projects across the global Service Centre network; Translate complex business problems into structured analytical solutions
Seniority
Senior, hands-on IC
