SimplyGo Pte. Ltd. Hiring! Full Time AI Trainee in - Ricebowl

Grow With Us, Shape What’s Next

Who We Are

We are SimplyGo Pte. Ltd. (SPL), a wholly owned subsidiary of the Land Transport Authority, and a key player in the Singapore public transport ecosystem. We develop transit ticketing and travel card-related products and services that simplify journeys and create value for our commuters. We believe great ideas come from people who are curious, driven, and eager to learn. Join us if you are looking for an organisation that allows you to make a meaningful impact and provide the support you need to grow.

What You Will Do

At SPL, you are an integral part of our team – driving meaningful projects and witnessing the tangible difference your work makes. SPL is seeking a strategic, collaborative, and analytical AI Trainee to join our organization. This role is not about writing back-end code; it is about bridging the gap between advanced technology and purposeful adoption.

As an AI Trainee, you will be at the heart of designing SimplyGo's roadmap for enterprise AI adoption. Working closely with cross-functional teams, you will identify high-impact use cases, collaborate with stakeholders to design and implement AI-driven solutions, and develop robust measurement frameworks to evaluate and demonstrate their business value.

Key Tasks You Will Be Involved In

Strategy & Use Case Formulation

• Engage stakeholders to understand workflows, challenges, and goals.
• Translate business challenges into actionable AI use cases (e.g., rewards optimization, trend prediction, workflow automation).
• Assist in prioritizing these use cases into a structured, phased AI roadmap based on commercial viability and implementation complexity.

Cross-Functional Collaboration & Implementation

• Act as the link between business units and technical stakeholders (internal and external).
• Define business requirements, coordinate timelines, and ensure solutions address the users’ needs.
• Support change management to drive onboarding and adoption of AI tools among internal staff.

Framework Development & Success Metrics

• Establish comprehensive frameworks to evaluate ROI and performance of AI solutions.
• Track and report on key success metrics (e.g., efficiency gains, adoption rates, accuracy improvement, business value).
• Help establish governance structure to ensure alignment with enterprise risk management, and ethical AI standards.

What You’ll Gain

At SimplyGo, our people are at the heart of everything we do.

We ASPIRE to create a supportive and inclusive workplace where you can thrive.

Here’s what you can look forward to:

Professional

• Continuous growth through training, mentorship, and development.
• Career pathways with room to advance and expand your skills.
• A culture of collaboration that celebrates innovation, respect, and teamwork.

Individual

• An attractive annual compensation package that values your contribution.
• Comprehensive benefits to support your lifestyle and wellbeing.
• Flexibility with hybrid work options and supportive arrangements.
• Wellbeing initiatives designed to keep you healthy, balanced, and engaged.

Learning Outcomes

• Strategic Blueprinting: Hands-on experience building an enterprise-grade AI adoption strategy from the ground up for an organization serving millions.
• End-to-End Project Exposure: Mastery over the entire AI lifecycle—from initial empathy-driven user interviews to vendor management and final deployment.
• High-Level Visibility: Direct exposure to how senior operations and commercial leadership evaluate technology investments and measure business transformation.

How to Apply

Send us your resume with a short note telling us what excites you most about this opportunity to ************* by 15 July 2026.

This role might be for you if you are:

• Are a recent graduate or early-career professional with a degree in Information Systems, Business Analytics, Management of Technology, Computer Science, or a related field that integrates business strategy and technology.
• Possess a strong conceptual understanding of artificial intelligence capabilities, including machine learning models, Natural Language Processing (NLP), and Generative AI frameworks. (e.g., large language models and prompt engineering principles)
• Demonstrate solid business analytics skills, with the ability to evaluate operations, identify gaps, and map appropriate AI/ML solutions.
• Exhibit strong framework thinking, with the capability to develop KPIs, metrics, and measurement models from the ground up.
• Have effective stakeholder management skills, with the ability to engage both front-line users and technical vendors.
• Communicate clearly and effectively, translating complex technical concepts into concise, value-driven insights.