Data Scientist

Success Human Resource Centre; Singapore; On-site; SGD 67,000 - 81,000; Full time

Job summary

Success Resource Centre Pte Ltd in Singapore is seeking an AI/ML professional for a 1-year contract to design, deploy and govern Gen AI solutions across multiple domains. You will collaborate with data engineers and product teams to drive practical AI value, ensure governance, and enable self-service analytics through tooling and training.

The role involves leading AI capabilities, stakeholder engagement, and mentoring juniors in a fast-paced, agile environment.

Qualifications

• Minimum degree in a technical field with 2–5 years of data science/AI experience.
• Proven track record deploying AI/ML solutions in cross-functional teams.
• Hands-on with Gen AI frameworks (LangChain, LlamaIndex, HF Transformers).
• Experience deploying Gen AI models to production; containerization with Docker.

Responsibilities

• Design, develop and deploy AI/ML/Gen AI solutions across multiple domains.
• Provide ad-hoc analytics, experimentation, and impact analysis for business leaders.
• Engage stakeholders to translate requirements into AI deliverables and business value.
• Lead development of AI capabilities in forecasting, anomaly detection, graph analysis, and multimodal AI.
• Collaborate with data engineers, product owners, UX designers, AI/ML engineers and software engineers.
• Establish AI governance: model documentation, validation, explainability, and security guardrails.
• Promote AI literacy and build reusable tools and training for business users.
• Monitor new AI tools/vendors for internal adoption.
• Guide juniors and manage interns/contractors.

Skills

Gen AI frameworks

LangChain

LlamaIndex

HuggingFace Transformers

APIs

Docker

Education

Degree in Computer Science/Data Science/AI/ML/Statistics/Math

Tools

Cloud platforms (AWS/Azure/GCP)

Job description

• Contract


• Geylang Bahru


• Up to $7,300 + CB


• Office Hours

Job Description:

• Design, develop and deploy AI/ML/Gen AI solutions in areas including 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.

Period: 1 Year Contract

Salary: up to $7,300 + Completion Bonus

Working hours: Monday - Friday,8am - 5.30pm

Requirements:

• Minimum Degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Statistics, Mathematics, or related technical fieldswith 2 to 5 years of experience in a data science role


• 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.

We thank all applicants for your interest but regret to inform that only shortlisted candidates would be notified.

Success Resource Centre Pte Ltd(EA License Number: 97C4832)