Applied AI Associate Ocean Transportation

Job Purpose and Impact

• 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