Data Science Analyst Date 1 Oct 2025 Location Andheri Mumbai Company Fleet Management India Private Limited 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 contemporary 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 Competencies Analysis Problem Solving Level 2 Uses critical thinking to address problems Able to perform root cause analysis on complex problems to identify underlying trends and put forward well-thought out solutions to address the causes Listening Communicating Level 2 Focuses on the individual they are communicating with Writes and expresses thoughts clearly adjusting as necessary to the audience Asks questions to clarify Collaboration Inclusion Teamwork Level 1 A good team player that is personable friendly polite and takes the time to know people Collaborates with onshore and offshore colleagues well Customer Focus Level 2 Understands the needs of the customer clarifying requirements and expectations Adapts as necessary to changing requirements and is responsive helpful with all requests Sets high quality for service delivery Planning Organising Level 2 Uses the supplied tools for structured project planning for optimal time use Balances competing priorities Promptly Updates people when plans change and keeps them apprised of progress Adjusts own plans based on FML strategies and plans Initiative Level 2 Challenges existing ways of doing things Looking for continuous improvement without being asked Identifies ways to improve efficiency and effectiveness in own work and others in the team Accountability Level 1 Completes routine work independently Asks for guidance when needed from manager highlighting when errors made Demonstrates integrity and ethical behaviour at all times

📌 Data Science Analyst (Maharashtra)
🏢 Fleet Management
📍 Maharashtra