Data Scientist – Integrated Power Analytics

Role Overview

The Data Scientist will develop and apply advanced data science, statistical modelling, forecasting and pricing analytics to support Sasol’s Integrated Power portfolio. The role will serve as the specialist analytics interface between Integrated Power, trading, asset management, commercial, finance, digital and operational teams.

What You Will Do

The Data Scientist will develop and maintain statistical models, analytical tools and scenario engines to support Integrated Power decision-making. They will convert generation, demand, market, pricing, metering, contractual, financial and risk data into actionable commercial insight.

Why It Might Be a Fit

The ideal candidate will have strong capability in data science, advanced analytics, statistical modelling, optimisation, forecasting and scenario analysis. They will be able to communicate complex analytical findings clearly to technical and non-technical stakeholders.

Requirements

• University Bachelor’s degree in Engineering, Data Science, Statistics, Mathematics, Econometrics, Computer Science, Economics, Finance, Business Analytics or a related quantitative discipline.
• 9 years of experience
• Strong capability in data science, advanced analytics, statistical modelling, optimisation, forecasting and scenario analysis.
• Experience working with time-series, operational, market, financial or commercial datasets to support business decision-making.
• Ability to develop pricing analytics, forecast models, portfolio scenarios, dashboards and decision-support tools.
• Working knowledge of electricity, energy, commodity, trading, optimisation or similar commercial environments.
• Strong data governance discipline, including model documentation, assumption management, validation, auditability and version control.
• Ability to communicate complex analytical findings clearly to technical and non-technical stakeholders through reports, dashboards and decision papers.

Benefits

• Competitive salary
• Opportunities for career growth and development
• Diverse and inclusive work environment
• Flexible working arrangements
• Comprehensive benefits package
• Paid time off and holidays
• Retirement plan
• Employee assistance program
• Professional development opportunities

Tagged as: Forecasting