Senior Data Scientist - Energy Market Analysis

Placements24; Sandton; Hybrid; ZAR 1,200,000 - 1,800,000; Full time

Job summary

Placements24 is seeking a Senior Data Scientist for our energy sector consultancy client based in Sandton, Gauteng. You will lead advanced market analysis, build forecasting models, and translate complex datasets into actionable insights for diverse clients.

The role requires a strong quantitative background, expertise in statistical modeling, ML, econometrics, and programming in Python or R. Collaboration with consultants and mentoring junior data scientists are part of the role.

Qualifications

• Master's or PhD in a quantitative field (data science, economics, CS).
• Minimum 6 years of data science experience in the energy sector.
• Proficiency in Python or R and libraries (Pandas, NumPy, scikit-learn).
• Strong SQL and NoSQL database experience.
• Expertise in statistical modeling, time series, and ML.
• Knowledge of electricity, gas, or oil markets.

Responsibilities

• Lead energy market analysis and forecasting models.
• Analyze large datasets on energy supply, demand, pricing, and policy.
• Build predictive models for prices, grid loads, and renewables.
• Create data visualizations and dashboards for stakeholders.
• Collaborate with consultants and clients to define requirements.
• Stay updated on data science and energy market trends.
• Mentor junior data scientists and share best practices.
• Ensure data quality, integrity, and security.

Skills

Data science

Machine learning

Statistics

Time series analysis

Python

R

SQL

NoSQL

Data visualization

Communication skills

Mentoring

Education

Master's or PhD in a quantitative field

Tools

Pandas

NumPy

Scikit-learn

TensorFlow

Job description

About the Role

Our client, a prominent consultancy firm specializing in the energy sector, is looking for a Senior Data Scientist to lead advanced market analysis and forecasting initiatives from their Sandton, Gauteng office. This role is instrumental in leveraging complex datasets to provide strategic insights into energy market dynamics, price forecasting, and investment opportunities. You will work with cutting-edge analytical tools and methodologies, translating raw data into actionable intelligence for our diverse clientele. The ideal candidate possesses a strong quantitative background, exceptional programming skills, and a deep understanding of statistical modeling, machine learning, and econometrics within the context of energy markets. This is a challenging and rewarding role that offers significant impact and career growth in a thriving sector, based in the hub of Sandton, Gauteng.

Key Responsibilities

• Develop and implement sophisticated statistical models and machine learning algorithms for energy market analysis and forecasting.
• Analyze large datasets related to energy supply, demand, pricing, and policy.
• Build predictive models for commodity prices, grid loads, and renewable energy generation.
• Identify key trends, patterns, and anomalies in energy market data.
• Develop data visualizations and dashboards to communicate complex findings to stakeholders.
• Collaborate with consultants and clients to define analytical requirements and deliver tailored solutions.
• Stay abreast of the latest advancements in data science, machine learning, and energy market trends.
• Mentor junior data scientists and contribute to the development of best practices.
• Ensure data quality, integrity, and security throughout analytical processes.
• Contribute to the development of proprietary analytical tools and methodologies.

Requirements

• Master's or PhD degree in Data Science, Statistics, Economics, Computer Science, or a related quantitative field.
• Minimum of 6 years of experience as a Data Scientist, with a significant focus on the energy sector.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow).
• Strong experience with SQL and NoSQL databases.
• Expertise in statistical modeling, time series analysis, and machine learning techniques.
• Familiarity with energy markets (e.g., electricity, gas, oil) and their drivers.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
• Experience working in Sandton, Gauteng, or a similar corporate environment is an advantage.

Benefits

Our client offers a competitive salary, performance bonuses, and a comprehensive benefits package including health insurance and retirement savings. This role provides an exceptional opportunity for professional development and impact within the dynamic energy consulting landscape in Sandton, Gauteng.