Role Overview
As a Data Scientist, you will play a key role in building and managing analytical, predictive, and data-driven capabilities across market intelligence, operational performance, commercial insights, and organizational analytics.
What You Will Do
Design and manage unified, structured databases, build scalable data pipelines, develop statistical and predictive models, conduct trend analysis, and collaborate with Finance and Strategy teams.
Why It Might Be a Fit
Strong analytical thinking, problem-solving, and stakeholder management skills are required. Ability to work independently, manage multiple priorities, and translate complex data into meaningful business insights.
Requirements
- Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Engineering, or a related field
- Minimum of 5 years of hands-on experience in analytics, data engineering, and business intelligence
- Strong proficiency in SQL, Python, and data visualization tools such as Power BI or Tableau
- Practical experience in machine learning, statistical analysis, and predictive modelling
- Familiarity with APIs, cloud databases, and workflow automation tools
- Exposure to the shipping, logistics, or commodities industry will be an advantage but is not mandatory
To apply for this job please visit linkedin.com.

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