Principal Data Scientist / Data Scientist (Data and AI)

Description

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.

• You will develop digital solutions using modern technology stack.
• 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.
• Work closely with data engineers, business analysts, product owners, UX designers, AI engineers and software engineers to adopt iterative, agile AI delivery framework.
• 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.
• 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.
• Provide ad-hoc decision support to business leaders through product analytics, experiment design, A/B testing and impact analysis.
• Guide junior team members and manage interns/contractors.

Requirements

• Extensive experience applying domain knowledge and statistical techniques in feature engineering to improve model performance and create innovative solutions.
• Knowledge in energy tech or related domain.
• Proven track record of developing and deploying AI/ML solutions in cross-functional teams to solve business problems.
• 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.
• Minimum 5 years of experience in a data science role. This is a mid to senior level position with eventual career progression to team management.
• Experience deploying Gen AI models to production, including containerization (Docker), APIs, and cloud platforms (AWS, Azure, or GCP).
• Hands-on experience with Gen AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace Transformers).
• Familiarity with governance frameworks like Singapore’s Model AI Governance Framework, EU AI Act, or NIST AI Risk Framework.
• Strong data visualization and storytelling skills, proficient in translating technical results to actionable business insights for business leaders.
• Excellent understanding of machine learning, deep learning and generative AI models, their pros and cons, and ability to evaluate them for different applications.
• Able to actively engage stakeholders, navigate dynamic complexities, lead end-to-end project delivery and manage work of team members.

Benefits

• We have regular wellness programmes to promote healthy living

Training + Development

Interview process

Visa Sponsorship

Security clearance