Singapore Power (SP Group) is looking for a Principal/Senior Data Scientist to join the Data and AI team within SP Digital (https://www.spdigital.sg/) to design and build data science and generative AI applications and services for operational and new innovation needs. SP Digital is a highly technical team in Singapore Power, spearheading the digitization and data transformation efforts of the group. We operate like a startup within the organization, pushing the boundaries of technologies to create high-impact value for our internal stakeholders and the customers we serve.
Why Join Us
Be part of the fast-growing energy tech industry and create meaningful impact through driving and supporting national sustainability goals under Singapore Green Plan 2030. Enhance and broaden your technical skills and experience working in cross-functional teams focusing on end-to-end delivery of scalable AI-driven products.
We Build Reliable Solutions. For Customers, Company and Country.
The mission of the Data and AI team is to help drive SP to become a data-driven company and create data-driven products that will empower more than 3,800 employees within SP Group and improve the quality of life for the 1.7 million commercial, industrial and residential customers that SP Group serves. We build solutions that enable sustainable high-quality lifestyles and help consumers save energy and cost, as well as supporting national goals for a sustainable livable city.
SP Digital aims to use cutting edge technologies to help SP Group to revolutionize future utility/energy industry by providing better services and more efficient energy solutions to our customers. Data charter consists of data engineering, business intelligence, and data science/machine learning teams. We oversee and drive all data and AI initiatives for SP group.
What You'll Do:
- Design, develop and deploy AI/ML/Gen AI solutions in areas including SP's consumer utilities app, electric vehicle charging, grid planning and monitoring, asset optimization, billing operations, work site safety and customer experience.
- Provide ad-hoc decision support to business leaders through product analytics, experiment design, A/B testing and impact analysis.
- Engage business stakeholders to understand user requirements, leverage domain knowledge, drive project targets and deliver business value.
- Lead technical efforts to develop key AI/ML/Gen AI capabilities in areas such as time series forecasting, anomaly detection, graph network analysis, multimodal generative AI, autonomous agents, AI security guardrails, LLM evaluation framework and SLM fine-tuning.
- Work closely with data engineers, business analysts, product owners, UX designers, AI engineers and software engineers to adopt iterative, agile AI delivery framework.
- Establish and implement AI governance practices, including model documentation, validation, explainability, security guardrails, performance monitoring and ethical considerations.
- Promote AI literacy and democratization by building reusable tools, self-service analytics platforms, and conducting training and workshops for business users.
- Monitor and evaluate emerging AI tools, frameworks, and vendor solutions for internal adoption.
- Guide junior team members and manage interns/contractors.
What You'll Need:
- Minimum 2 to 5 years of experience in a data science role. This is a mid to senior level position with eventual career progression to team management.
- Proven track record of developing and deploying AI/ML solutions in cross-functional teams to solve business problems.
- Hands-on experience with Gen AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace Transformers).
- Excellent understanding of machine learning, deep learning and generative AI models, their pros and cons, and ability to evaluate them for different applications.
- Extensive experience applying domain knowledge and statistical techniques in feature engineering to improve model performance and create innovative solutions.
- Deep proficiency in at least one of the following: CV, NLP, time series modeling, network analysis, predictive maintenance, document understanding, RAG, PEFT fine-tuning, Agentic AI.
- Able to actively engage stakeholders, navigate dynamic complexities, lead end-to-end project delivery and manage work of team members.
- Strong data visualization and storytelling skills, proficient in translating technical results to actionable business insights for business leaders.
- Experience deploying Gen AI models to production, including containerization (Docker), APIs, and cloud platforms (AWS, Azure, or GCP).
- Familiarity with governance frameworks like Singapore's Model AI Governance Framework, EU AI Act, or NIST AI Risk Framework.
- Knowledge in energy tech or related domain.
What We'll Provide:
- You will develop digital solutions using modern technology stack.
- We have regular wellness programmes to promote healthy living
- Join us to empower the future of energy.
