Data Science Analyst

About Fleet Management

Our 30-year journey rides on the passion of over 27,000 seafarers and 1,000 onshore professionals. Today, we are one of the largest independent third-party ship management companies managing over 650+ diverse types of vessels.

Headquartered in Hong Kong SAR, China, we operate on a global scale having 27 offices in 12 countries. Our client base spans over 100 world-class ship owners, including Fortune 500 companies from China, Greece, India, Japan, Korea, Netherlands, Norway, Turkey and the USA, among others.

In a shore career at Fleet, you will be working with a team of a highly passionate, self-driven and committed group of people. We aim to be a place where you can achieve your full potential, regardless of your background.

We are looking for individuals who are ambitious about making a strong contribution to Fleet's short and long-term sustainable growth whether you are dealing directly with clients or working in a role supporting the business, such as technology, legal or communications.

Key Roles and Responsibilities

As a Data Science Analyst, your typical day will include:

Charting the Course: Development of the NOVA Analytics Platform

• Manage analytics projects from concept to project planning, delivery, and completion, adhering to the Analytics roadmap

• Source, cleanse, and transform raw data from our big data systems to build a solid foundation for modeling and dashboard development

• Perform exploratory data analysis to uncover hidden patterns and valuable opportunities within our datasets

• Build, validate, and deploy robust machine learning models and implement them into operational processes

• Design, build, and test user-friendly dashboards and analytics tools that are actively leveraged by end-users

• Continuously monitor model performance and dashboard usage metrics to make continuous improvements to existing solutions

Signaling Insights: Stakeholder Management & Communication

• Act as a lighthouse for our company - provide clear and compelling insights into the business through dashboards and ad-hoc analysis

• Translate complex data findings into clear reports and presentations for senior leadership to guide strategic decisions

• Partner with maritime subject matter experts to translate their deep domain knowledge into powerful, data-driven solutions

• Create clear and concise documentation for all analytical solutions to ensure they are understandable and maintainable

Being an Anchor for the Crew:

Teamwork

• Collaborate with the IT team to build high-quality, robust, and scalable solutions that balance technical rigour with real-world usability

• Promote data literacy across Fleet Management and drive adoption of analytical solutions by clearly explaining the impact of your work

• Champion data governance and best practices to ensure the quality and integrity of our data assets

Relationship (mostly Internal and or External) and Nature of Communication:

INTERNAL:

• Development Teams (based in HK & India); Ops & Support (based in HK & India); Stakeholders Director-level and below

EXTERNAL:

• Interaction with vendors/third parties

Job Experience, Functional Knowledge and Qualifications

Essential :

• 3+ years experience in a Data Analytics or Data Scientist role

• Hands-on experience across the entire life cycle of an analytics solution

• Database technologies (e.g. SQL, NoSQL, Graph Databases)

• Written queries to extract data and perform complex transformations and joins so that it can be used for modelling or dashboard development

Data Visualisation Tools (e.g. Tableau, Power BI):

• Single-handedly developed, launched, and maintained multiple dashboards; can explain the purpose of the dashboards and visual choices chosen to generate insights

Data Science and Model Development (e.g. Python, R):

• Built machine learning models from scratch (data preparation, feature engineering, model training/validation, model deployment). Familiar with modern ML packages (e.g. Scikit-learn, Pytorch)

Programming Development (e.g. Git):

• Have a strong emphasis on code versioning, tracking and proper development practices (documentation and commenting)

• Experience with and comfortable speaking with senior stakeholders (Director-level) to gather requirements for analytical solutions, leading user testing, and presenting solution to company leadership

• Independently delivered end-to-end projects and insights that improved business processes, driven the adoption of new methods, or launched a new solution, yielding quantifiable benefits

• Excellent communication and presentation skills in English

Desirable

• Bachelor's or master's degree in mathematics, Statistics, Computer Science, or a related quantitative field

• Experience setting up and managing cloud infrastructure for analytics purposes (e.g., AWS Sagemaker, EC2, Tableau Server)

• Experience in Generative AI model hands-on usage, model tuning, and configuration (e.g., Vertex AI, LangChain, Hugging Face)

• Exposure to Big Data technologies (e.g. Spark, Hive, Presto)

• Certificates in Tableau or native-cloud platforms such as AWS, Azure, or Google Cloud