Senior Data Scientist - Energy Analytics

Placements24; Paarl; On-site; ZAR 1,000,000 - 1,800,000; Full time

Benefits offered by this job

Equity or profit-sharing

Medical and retirement benefits

Budget for professional development

Opportunity to work on impactful, high

Job summary

Placements24 is seeking an innovative Senior Data Scientist specializing in Energy Analytics to join our client’s advanced analytics team in Paarl. You will leverage large energy datasets to uncover insights, build predictive models, and develop data-driven solutions that optimize generation, distribution, and consumption.

The ideal candidate holds a PhD or MSc in a quantitative field, with 5+ years of experience, expertise in Python or R, and strong communication skills to translate complex

Qualifications

• PhD or MSc in a quantitative field (Data Science, Statistics, CS, Physics).
• 5+ years of professional data science experience in energy or a related sector.
• Proficiency in Python or R and relevant libraries.

Responsibilities

• Develop ML models for energy forecasting, anomaly detection, and demand prediction.
• Analyze energy datasets to identify trends and inform business strategy.
• Design data pipelines for large-scale energy data processing.
• Collaborate with engineers and stakeholders to define analytical problems and deliver solutions.
• Communicate findings via compelling visualizations for technical and non-technical audiences.

Skills

Python or R

Big data (Spark/Hadoop)

Cloud platforms (AWS/Azure/GCP)

Communication & presentation

Education

PhD or MSc in Data Science / Statistics / CS / Physics

Tools

scikit-learn

TensorFlow

PyTorch

Job description

About the Role

Our client is seeking an innovative and experienced Senior Data Scientist specializing in Energy Analytics to join their advanced analytics team in Paarl. You will be responsible for leveraging large datasets from across the energy value chain to uncover insights, build predictive models, and develop data-driven solutions that optimize energy generation, distribution, and consumption. This role requires a strong foundation in statistics, machine learning, and data engineering, combined with a deep understanding of the energy sector's unique challenges and opportunities. You will work with cutting-edge tools and technologies to transform raw data into actionable intelligence that drives strategic business decisions and enhances operational efficiency.

Key Responsibilities

• Develop and implement machine learning models for energy forecasting, anomaly detection, and demand prediction.
• Analyze complex energy datasets to identify trends, patterns, and insights that inform business strategy.
• Design and build data pipelines for collecting, cleaning, and processing large volumes of energy-related data.
• Collaborate with domain experts, engineers, and business stakeholders to define analytical problems and deliver solutions.
• Communicate findings and recommendations through compelling data visualizations and presentations to both technical and non-technical audiences.

Requirements

• Ph.D. or Master's degree in Data Science, Statistics, Computer Science, Physics, or a related quantitative field.
• Minimum of 5 years of professional experience in data science, with a proven track record in the energy industry.
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
• Strong analytical, problem-solving, and communication skills for driving insights in Paarl.

Benefits

• Exceptional salary and potential for equity or profit-sharing.
• Comprehensive medical, dental, and retirement benefits.
• Generous budget for professional development, conferences, and training.
• Opportunity to work on impactful projects at the forefront of energy innovation.
• A dynamic and intellectually stimulating work environment.