The Applied AI Associate - Ocean Transportation will develop AI and analytical solutions to enhance decision-making in ocean shipping, while collaborating with various stakeholders.
Job Purpose and Impact
Key Accountabilities
AI, Analytics & Digital Development
Rotations & Business Exposure
Collaboration & Communication
Qualifications
Minimum Qualifications
Preferred Qualifications
Note to applicants
- The Applied AI Associate - Ocean Transportation supports the design, development, and deployment of AI, analytics, and digital solutions that enhance commercial and operational decision-making. The role offers direct exposure to real shipping data, trading workflows, and innovative digital initiatives. It is well suited for individuals who want to apply AI and analytics in a global maritime and freight trading environment.
Key Accountabilities
AI, Analytics & Digital Development
- Apply AI models to analyse operational, market, and voyage datasets and convert findings into actionable insights.
- Train, refine, and evaluate AI models using domain-specific datasets, including contract clauses, voyage PnL, and market intelligence.
- Monitor model accuracy, drift, and behaviour across vessel segments (Drybulk and Tankers).
- Contribute to the development of digital products such as generative AI copilots, predictive models, optimisation engines, and simulation tools.
- Build and improve analytical pipelines, dashboards, and cloud-native data solutions to support scalable AI deployment.
- Support business teams with experimentation, prototyping, and validation of AI and data science outputs.
Rotations & Business Exposure
- Work closely with Freight Trading, Operations, and other business functions.
- Develop a strong understanding of commercial decision-making, operational workflows, and how data creates value across the freight value chain.
- Translate business needs into analytical problems and collaborate with users to test and refine solutions.
Collaboration & Communication
- Present analytical insights and model outputs to non-technical stakeholders in a clear, structured manner.
- Participate in problem-solving sessions, innovation discussions, and digital strategy workshops.
- Contribute new ideas in applied AI, analytics, and maritime digital innovation.
Qualifications
Minimum Qualifications
- Bachelors/Masters degree in Maritime Studies, Data Analytics, Data Science, or a related field, graduating in the year 2026 or recently.
- Understanding of statistics, predictive analytics, or machine learning concepts.
- Experience with Python, SQL, and dashboarding tools.
- Strong analytical, problem-solving, and communication skills.
- Interest in global trade, maritime logistics, digital products, and applied AI.
- Self-motivated, proactive, and eager to learn in a fast-paced environment.
- Other minimum qualifications may apply
Preferred Qualifications
- Exposure to forecasting, optimisation, or AI-related projects.
- Familiarity with generative AI or agentic AI concepts.
- Interest in trading analytics, vessel performance, or sustainability topics.
Note to applicants
- Please include a cover letter detailing your relevant experience along with your resume.
- Highlight your skills, accomplishments, and how your background aligns with the position.
- Kindly update your location, education details, and experiences in the application form during submission.
- Last date to apply: Dec 31, 2025
Top Skills
Python
SQL
What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.
