Data Scientist

Responsibilities

• Lead the design, development, and deployment of AI-driven analytics solutions to optimize vessel performance, fuel efficiency and operational decision-making.
  


• Analyze large-scale maritime datasets (voyage data, AIS, engine performance, weather, bunker consumption) to generate actionable insights.
  


• Develop predictive models and machine learning algorithms for areas such as predictive maintenance, route optimization, and emissions reduction.
  


• Collaborate with fleet management, technical, and commercial teams to translate business requirements into data-driven solutions.
  


• Build and maintain data pipelines, dashboards, and visualization tools (e.g., Power BI, Tableau) for real-time monitoring and reporting.
  


• Ensure data quality, governance, and integrity across multiple data sources and platforms.
  


• Drive continuous improvement initiatives through advanced analytics and AI adoption across the organization.
  


• Stay updated with emerging AI, machine learning, and maritime digitalization trends to propose innovative solutions.
  


• Work closely with IT and external vendors to integrate AI solutions into existing enterprise systems and platforms.
  

Requirements

Requirements

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Engineering, or a related field.
  


• Minimum 6–10 years of experience in data analytics, with at least 2–3 years in AI/ML-related roles, preferably in logistics.
  


• Strong proficiency in Python, SQL, and machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  


• Experience with data visualization tools (Power BI, Tableau) and cloud platforms (AWS, Azure, or Google Cloud).
  


• Strong analytical thinking, stakeholder management skills, and ability to translate complex data into business insights.