Data Scientist

Role Overview

The Data Scientist will play a pivotal role in helping develop data models and decision intelligence tools that support smarter pricing, improved deal governance, and greater commercial performance across SHI’s enterprise business. This is a hands-on role ideal for early-career professionals who want to apply machine learning, statistical modelling, and data science techniques in real business applications.

What You Will Do

The Data Scientist will support development of machine learning models for pricing optimisation, margin prediction, and customer segmentation. They will also analyse historical pricing, win/loss, vendor incentive and cost data to uncover trends and inform pricing strategy.

Why It Might Be a Fit

The ideal candidate will have a strong technical background in Python or R, SQL, and applied ML libraries, and experience with data visualization tools. They will also be able to interpret and communicate insights clearly to non-technical stakeholders.

Requirements

• 2–4 years of experience in data science, machine learning, pricing analytics, or commercial operations
• Strong technical background in Python or R, SQL, and applied ML libraries (e.g. scikit-learn, TensorFlow, XGBoost)
• Experience with data visualization tools (Tableau, Power BI, or similar)
• Understanding of statistical methods, supervised/unsupervised learning, and business experimentation
• Ability to interpret and communicate insights clearly to non-technical stakeholders

Benefits

• Health, wellness, and financial benefits
• World-class facilities and the technology you need to thrive
• Continuous professional growth and leadership opportunities
• Bonus