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
- Bachelors or Masters degree in Data Science Computer Science Statistics Engineering or a related field.
- Minimum 610 years of experience in data analytics with at least 23 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.
ResponsibilitiesLead 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 insi...
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
- Bachelors or Masters degree in Data Science Computer Science Statistics Engineering or a related field.
- Minimum 610 years of experience in data analytics with at least 23 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.
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