Data Scientist: Integrated Power Analytics & Forecasting

Sasol Limited; Sandton; On-site; ZAR 1,100,000 - 1,600,000; Full time

Job summary

Sasol is seeking a Data Scientist for Integrated Power Analytics in Sandton to develop advanced analytics, forecasting models and decision-support tools across generation, demand and market exposure. You will translate complex data into insights that drive commercial decisions and portfolio optimisation, interfacing with trading, asset management, finance and digital teams.

The role emphasises ETRM enablement, SAWEM readiness, energy management analytics and future-ready toolsets including Power

Qualifications

• University Bachelor’s degree in Engineering or related quantitative discipline.
• 9 years of experience.
• Customer centricity and strong business acumen.
• Experience with data science, analytics, forecasting and pricing analytics.

Responsibilities

• Develop and maintain statistical models, analytical tools and scenario engines.
• Convert data into actionable commercial insight for Integrated Power.
• Develop dashboards and management reports to support decision-making.
• Collaborate with trading, asset management, finance and digital teams to translate business questions into analyses.

Skills

Data science

Statistical modelling

Forecasting

Dashboard development

Power BI

Aveva PI

Data governance

Analytics

Education

Bachelor’s degree in Engineering or related quantitative discipline

Tools

Power BI

Aveva PI

Job description

Sasol is seeking a Data Scientist for Integrated Power Analytics in Sandton to develop advanced analytics, forecasting models and decision-support tools across generation, demand and market exposure. You will translate complex data into insights that drive commercial decisions and portfolio optimisation, interfacing with trading, asset management, finance and digital teams.

The role emphasises ETRM enablement, SAWEM readiness, energy management analytics and future-ready toolsets including Power