Energy Data Scientist

Placements24; Klerksdorp; Hybrid; ZAR 900,000 - 1,200,000; Full time

Benefits offered by this job

Fully remote

Performance bonuses

Professional development

Advanced computing resources

Collaborative team

Job summary

Placements24 in South Africa seeks an Energy Data Scientist to work remotely. Based in Klerksdorp, you will extract insights from complex energy datasets, build predictive models for demand, prices, and renewable generation, and develop data-driven solutions to optimize energy consumption and trading strategies.

You will apply advanced ML techniques, collaborate with domain experts, and contribute to the company’s data infrastructure while delivering actionable insights to support strategic

Qualifications

• Master's or PhD in a quantitative field (Data Science, CS, Statistics, Physics, Mathematics)
• 4+ years of experience applying ML to real-world problems
• Proficiency in Python or R and ML libraries
• Experience with SQL and large databases
• Strong ML algorithms, modeling, and experimental design
• Data visualization skills (Tableau/Power BI)
• Knowledge of energy sector (power markets, renewables) is desirable

Responsibilities

• Collect, clean, and preprocess large energy datasets
• Develop and implement ML models for forecasting demand, prices, and renewable generation
• Analyze energy consumption to identify efficiency improvements
• Build and deploy data-driven solutions for energy trading, grid management, asset optimization
• Visualize data and model results for technical and non-technical stakeholders
• Collaborate with engineers, operations, and trading to translate business needs into DS problems
• Stay updated with data science and energy technologies
• Contribute to data infrastructure and analytical capabilities
• Ensure quality and integrity of data and outputs

Skills

Python

R

SQL

Pandas

scikit-learn

TensorFlow

PyTorch

Tableau

Education

Master's in Data Science

PhD in Data Science

Tools

Power BI

Job description

About the Role

Our client, a forward-thinking company within the Energy sector, is looking for a talented Energy Data Scientist to join their innovative team. This position is based in Klerksdorp and offers a fully remote work arrangement, allowing you to leverage your skills from any location. You will be responsible for extracting valuable insights from complex energy datasets, building predictive models, and developing data-driven solutions to optimize energy consumption, generation, and trading strategies. This role requires a strong analytical mindset, expertise in machine learning techniques, and a passion for applying data science to the challenges and opportunities within the energy industry. Your work will directly influence strategic decisions and operational efficiencies.

Key Responsibilities

Collect, clean, and preprocess large and diverse energy datasets from various sources. Develop and implement advanced statistical and machine learning models for forecasting energy demand, prices, and renewable generation. Analyze energy consumption patterns and identify opportunities for efficiency improvements. Build and deploy data-driven solutions to support energy trading, grid management, and asset optimization. Visualize data and model results to communicate complex findings effectively to technical and non-technical stakeholders. Collaborate with domain experts in engineering, operations, and trading to understand business needs and translate them into data science problems. Stay current with the latest advancements in data science, machine learning, and energy technologies. Contribute to the development of the company's data infrastructure and analytical capabilities. Ensure the quality, accuracy, and integrity of data and analytical outputs.

Requirements

A Master's or Ph.D. in Data Science, Computer Science, Statistics, Physics, Mathematics, or a related quantitative field. Minimum of 4 years of experience as a Data Scientist, with a focus on applying machine learning to real-world problems. Proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas). Experience with SQL and working with large databases. Strong understanding of machine learning algorithms, statistical modeling, and experimental design. Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib). Knowledge of the energy sector (e.g., power markets, renewables, grid operations) is highly desirable. Excellent problem-solving skills and a proactive approach to identifying and addressing challenges. Strong communication and collaboration skills, with the ability to work effectively in a remote team setting.

Benefits

This fully remote role offers a competitive salary and potential for performance-based bonuses. Work on cutting-edge data science projects within the dynamic Energy sector. Our client fosters a culture of innovation and continuous learning, providing ample opportunities for professional development. Enjoy the flexibility and autonomy of a remote work environment. Be part of a collaborative and supportive team that values data-driven decision-making. Access to advanced computing resources and tools. Contribute to shaping the future of energy through insightful data analysis.