Senior Data Scientist, Energy Policy & Analytics

Public Service Division

Singapore

Sur place

SGD 90 000 - 140 000

Plein temps

Il y a 6 jours
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Résumé du poste

Energy Market Authority (EMA) in Singapore is strengthening its data analytics, modelling and digital integration capabilities. The Data & AI Department (DAD) is expanding to meet growing analytical needs and to support evidence-based policy and regulatory decision-making.

The role focuses on applying statistics and data science to high-frequency and granular energy datasets, developing models, and delivering insights for planning, policy formulation and international reporting obligations.

Qualifications

  • 5–8 years of working experience in data analytics, forecasting or AI/ML projects.
  • Education in Statistics, Data Science, Economics, or related quantitative disciplines.
  • Knowledge of energy sector is a plus.
  • Excellent analytical, coordination and written/verbal communication skills are essential.
  • Experience with SAS, SQL, Python, and/or R for data science applications.
  • Independent problem-solving mindset and ability to work well in a team.

Responsabilités

  • Apply advanced analytics and data science methods to high-frequency, locational and system data to inform policy and regulatory decision-making.
  • Conduct exploratory, diagnostic and predictive analyses to identify trends and generate actionable insights.
  • Develop and enhance statistical and forecasting models to support planning and decision-making.
  • Strengthen statistical reporting through visualization tools and high-frequency energy statistics dissemination.

Description du poste

Energy Market Authority (EMA) in Singapore is strengthening its data analytics, modelling and digital integration capabilities. The Data & AI Department (DAD) is expanding to meet growing analytical needs and to support evidence-based policy and regulatory decision-making.

The role focuses on applying statistics and data science to high-frequency and granular energy datasets, developing models, and delivering insights for planning, policy formulation and international reporting obligations.

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