[Contract] Senior Analyst - Senior Principal Analyst [Data Science & Statistics Branch]
At a glance
Senior Data Science role at Sggovterp. EMA · full-time.
Pay not stated Data Science salary
dataroles summary, based on the employer's posting.
What you'll do
- Analyze high-frequency and granular energy data to inform policy, regulatory reviews, operational planning and strategic choices
- Investigate energy trends and assess policy or market changes across demand, supply, consumers and the energy transition
- Build and improve statistical, econometric, machine learning and forecasting models for energy outcomes and scenarios
- Create analytical and visualization tools, and prepare detailed energy statistics for publication and reporting
What you bring
- At least five years of work on analytics, forecasting or AI and machine learning projects
- Training in statistics, data science, economics or a related field with substantial quantitative study
- Experience using SAS, SQL, Python, R or another major programming language for data science applications
Who this fits
This role suits an experienced analyst who can solve problems independently and communicate analytical findings clearly. You should be comfortable coordinating with others and interested in contributing to Singapore's energy landscape. Energy-sector knowledge is an advantage.
From the employer
[What the role is]
The Energy Market Authority (EMA) is strengthening its capabilities in data analytics, modelling and digital integration to better support Singapore's evolving energy landscape. As part of EMA's strategic shift toward deeper policy–tech integration and more responsive, data‑driven decision making, the Data & AI Department (DAD) is expanding its capabilities to meet growing analytical and modelling needs.[What you will be working on]
In this role, you will leverage your expertise in statistics and data science to generate insights from complex datasets, support evidence-based policy and regulatory decision-making, and enhance EMA's analytical and modelling capabilities across the energy sector. The key responsibilities of the officer include:
- Apply advanced analytics, statistical techniques and data science methods to uncover insights from high-frequency, locational, sectoral and system datasets, supporting policy formulation, regulatory reviews, operational planning and strategic decision-making.
- Conduct exploratory, diagnostic and predictive analyses to identify trends, evaluate policy and market interventions, assess emerging issues, and generate actionable insights on energy demand, supply, markets, consumer behaviour and the energy transition.
- Develop and enhance statistical, econometric, machine learning and forecasting models to analyse key drivers and project demand, supply, costs, emissions and other energy-related outcomes under different scenarios to support planning and decision-making.
- Strengthen EMA's statistical and reporting capabilities through the development of visualisation and analytical tools, and enhance the production, publication and sharing of high-frequency and granular energy statistics to support public information needs, Whole-of-Government decision-making, and international reporting obligations.
[What we are looking for]
- Minimum 5 to 8 years of working experience in handling data analytics, forecasting or AI/ML projects. Education in Statistics, Data Science, Economics, or other related disciplines with substantial quantitative content should apply.
- Knowledge in energy sector would be an advantage.
- Excellent analytical, coordination and communication (written and verbal) skills are critical for this position.
- Applicants must possess an independent problem-solving mindset with a strong desire to find innovative and 'out of the box' solutions to problems.
- Applicants must have experience with using SAS, SQL, Python, R and/or any other major programming language for data science and applications.
- Applicant must be a committed team player, with a strong interest to shape Singapore's energy landscape.
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