Job Title

About Fleet ManagementOur 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 ResponsibilitiesAs a Data Science Analyst, your typical day will include:Charting the Course: Development of the NOVA Analytics PlatformManage analytics projects from concept to project planning, delivery, and completion, adhering to the Analytics roadmapSource, cleanse, and transform raw data from our big data systems to build a solid foundation for modeling and dashboard developmentPerform exploratory data analysis to uncover hidden patterns and valuable opportunities within our datasetsBuild, validate, and deploy robust machine learning models and implement them into operational processesDesign, build, and test user-friendly dashboards and analytics tools that are actively leveraged by end-usersContinuously monitor model performance and dashboard usage metrics to make continuous improvements to existing solutionsSignaling Insights: Stakeholder Management & CommunicationAct as a lighthouse for our company - provide clear and compelling insights into the business through dashboards and ad-hoc analysisTranslate complex data findings into clear reports and presentations for senior leadership to guide strategic decisionsPartner with maritime subject matter experts to translate their deep domain knowledge into powerful, data-driven solutionsCreate clear and concise documentation for all analytical solutions to ensure they are understandable and maintainableBeing an Anchor for the Crew:TeamworkCollaborate with the IT team to build high-quality, robust, and scalable solutions that balance technical rigour with real-world usabilityPromote data literacy across Fleet Management and drive adoption of analytical solutions by clearly explaining the impact of your workChampion data governance and best practices to ensure the quality and integrity of our data assetsRelationship (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 belowEXTERNAL:Interaction with vendors/third partiesJob Experience, Functional Knowledge and QualificationsEssential :3+ years’ experience in a Data Analytics or Data Scientist roleHands-on experience across the entire life cycle of an analytics solutionDatabase 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 developmentData 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 insightsData 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 leadershipIndependently delivered end-to-end projects and insights that improved business processes, driven the adoption of new methods, or launched a new solution, yielding quantifiable benefitsExcellent communication and presentation skills in EnglishDesirableBachelor's or master's degree in mathematics, Statistics, Computer Science, or a related quantitative fieldExperience 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