Senior Data Scientist, Energy Analytics & Policy

Energy Market Authority (EMA); Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Energy Market Authority (EMA) seeks a data analytics professional to advance its capabilities in statistics, data science and modelling to support Singapore's evolving energy landscape. The role is housed in the Data & AI Department (DAD) and focuses on data-driven policy and regulatory decision-making.

You will develop and apply advanced analytics, forecasting and ML models, and contribute to high-frequency energy statistics, public information needs, and international reporting obligations,

Qualifications

• Minimum 5 to 8 years of working experience in data analytics, forecasting or AI/ML projects.
• Education in Statistics, Data Science, Economics, or related disciplines with substantial quantitative content should apply.
• Knowledge in energy sector would be an advantage.

Responsibilities

• Apply advanced analytics, statistical techniques and data science methods to high-frequency, locational and system datasets to support policy formulation and regulatory reviews.
• Conduct exploratory, diagnostic and predictive analyses to identify trends and generate actionable insights on energy demand, supply and markets.
• Develop and enhance statistical, econometric, ML and forecasting models to analyse drivers and outcomes under different scenarios.
• Strengthen EMA's analytics capabilities through visualisation tools and the production of high-frequency energy statistics.

Skills

Data analytics

Modelling

AI/ML

Forecasting

Communication

Education

Statistics / Data Science / Economics degree

Tools

SAS

SQL

Python

R

Job description

Energy Market Authority (EMA) seeks a data analytics professional to advance its capabilities in statistics, data science and modelling to support Singapore's evolving energy landscape. The role is housed in the Data & AI Department (DAD) and focuses on data-driven policy and regulatory decision-making.

You will develop and apply advanced analytics, forecasting and ML models, and contribute to high-frequency energy statistics, public information needs, and international reporting obligations,