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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