Job Description

• Create clean analytical tables from supplier quotations, internal ERP/SAP data, internal excel based database and should-cost benchmarks which will be used to run deterministic and AI cost estimation models
• Develop machine learning / advanced statistical models to estimate cost of components using techniques like supervised regression, feature engineering, time series concepts during final / course projects
• In the first step, create bottom-up process / parametric models and as a second layer build an AI model which takes input from base calculations
• Work with both structured and un-structured data – good knowledge of manufacturing processes to make reliable assumptions in case process steps are missing for a supplier part.
• Neural networks to explore possibility of cost estimation using CAD geometry or 2D drawing
• Support to analyze designs, materials, and manufacturing processes to suggest alternatives.

Who we’re looking for: 

• Pursuing PhD in Data Science engineering (with focus in ML/AI techniques). Graduation or master’s in mechanical / production / industrial engineering.
• good understanding about SQL, Python and ETL principles
• Experience with scikit-learn, XGBoost, light GBM and hyperparameter tuning to create reliable estimation model with acceptable error definition (MAPE)
• Knowledge about Neural networks (benefits and limitations)
• Knowledge of CAD tools, Manufacturing processes, basics of internal combustion engines
• Good knowledge of English, both written and spoken
• Understanding of Internal Combustion Engines.

Our behaviours drive us - we put safety first, do the right thing, keep it simple and make a difference. We’ll expect that of you, too. 

What we offer: 

• A dynamic and challenging office environment

• A company committed to developing you personally and professionally

• Responsibility from day one in a fast growing and global company

Our vision is to ensure that the excellence and ingenuity that shaped our history continues into our future. Our multi-year transformation programme aims to turn Rolls-Royce into a high-performing, competitive, resilient and growing company. Join us, and it can be your future vision too.

Rolls-Royce are committed to being a respectful, inclusive, and non-discriminatory workplace where individuality is valued, diverse perspectives fuel innovation, and everyone can thrive.

Closing date:  31st January’ 2026

Type of Contract