AI-Driven Parts Planning Engineer

Cargotec Corporation; Helsinki; Hybrid; EUR 65,000 - 90,000; Full time

Benefits offered by this job

Flexible hybrid working

Private medical care

Life insurance

Parking subsidy

MultiSport or Medicover Sport card

Free coffee and fruit Wednesdays

Job summary

Hiab is seeking a Parts Planning Development Engineer to advance spare parts forecasting and inventory optimization across the supply chain. You will shape models with AI and statistics, calibrate MEO settings, and collaborate with End-to-End Planners to translate feedback into actionable improvements.

Based in Helsinki or Gdańsk, you will work in a flexible hybrid setup, supporting deployment to new locations and maintaining planning documentation while driving measurable performance gains.

Qualifications

• Master’s degree in Supply Chain Management, Logistics, Industrial Engineering, Applied Statistics, or a related quantitative field.
• Solid background in demand and inventory planning for high-variety, intermittent, or slow-moving spare parts demand patterns.
• Strong foundation in statistics and supply chain theory, with the ability to translate complex mathematical models into practical planning rules.
• Proficiency in analytical tools, including advanced Excel, SQL, and modern BI platforms (Power BI, Tableau, or QlikView).

Responsibilities

• Apply AI- and statistics-based forecasting models to improve accuracy across complex demand profiles, especially intermittent and slow-moving spare parts.
• Configure, calibrate, and test Multi-Echelon Optimization (MEO) parameters across the distribution network to balance high parts availability with optimized inventory investment.
• Analyze planning model underperformance and supply chain bottlenecks to shorten repair-part lead times and proactively prevent recurring machine downtime (VOR).
• Model and evaluate the business impact of proposed adjustments to service-level targets, network configurations, and demand assumptions for scheduled model release cycles.
• Partner closely with End-to-End Planners to investigate manual intervention patterns and exception volumes, turning frontline operational feedback into automated model enhancements.
• Support the deployment of planning models to new inventory locations, maintain core planning process documentation, and act as the operational backup to the Servigistics Solution Owner.

Skills

Demand forecasting

Inventory planning

Statistics

SQL

Power BI

Machine learning

Lean Six Sigma

Analytical thinking

Education

Master’s degree in Supply Chain Management

Tools

SQL

Power BI

Tableau

QlikView

Job description

Hiab is seeking a Parts Planning Development Engineer to advance spare parts forecasting and inventory optimization across the supply chain. You will shape models with AI and statistics, calibrate MEO settings, and collaborate with End-to-End Planners to translate feedback into actionable improvements.

Based in Helsinki or Gdańsk, you will work in a flexible hybrid setup, supporting deployment to new locations and maintaining planning documentation while driving measurable performance gains.