- 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
What the Team is Saying
What We Do
We are a family company providing food, ingredients, agricultural solutions and industrial products to nourish the world in a safe, responsible and sustainable way. We connect farmers with markets so they can prosper. We connect customers with ingredients so they can make meals people love. And we connect families with daily essentials— from eggs to edible oils, salt to skincare, feed to flooring. By providing customers with products that are vital for living, we help businesses grow, communities prosper and consumers live well in their daily lives.
Why Work With Us
The decision to join Cargill can open the door to a world of possibility. As part of our Digital, Technology & Data team, you’ll get to be part of a large and diverse group full of unique perspectives united by a common, higher purpose while building a rewarding career full of opportunity, growth and the satisfaction of knowing your work matters.
Gallery
Cargill Teams
Cargill Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
