Job Description
49 days ago
Fleet Management Limited
Our 29-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.
Job Position Summary
An exciting and challenging opportunity has arisen for the position of Data Science Analyst to help shape and drive forward the implementation of enhanced analytical capability across our fleet of ships.
Maritime is an industry going through significant disruption and the ability to leverage data to provide insight is crucial - so this role is key for our ability to lead in this space through the use of our NOVA analytics platform (part of the PARIS ecosystem).
This role is a key part of Fleet’s focus to develop leading digital capability to enhance and improve our platforms deployed over 650 ships.
Job Experience, Functional Knowledge and Qualifications
As a Data Science Analyst, your typical day might include:
Development of the NOVA Analytics Platform
• Planning and executing the development of analytics dashboards and other solutions in line with the Analytics Roadmap. This includes working from initial design to data sourcing/cleansing, model development/validation, implementation, prototyping and testing with end users
• Use functional understanding alongside data mining techniques to highlight opportunities for further data insight
• Willingness to learn new techniques proactively with a clear focus on how this can be used to help Fleet
Stakeholder Management & Communication
• Working closely with stakeholders and end users to understand domain knowledge and determining how best to deliver actionable results
• Assisting on building dashboards and drawing ad-hoc data insight in a simple to understand way
Team Working
• Working collaboratively with the rest of the IT team members – based onshore and offshore – to develop solutions delivered are high-quality and easy-to-support
• Building analytics capability and understanding across Fleet Management – by being able to explain in simple terms what you are working on and how it helps operational targets
Relationship:
INTERNAL:
• Development Teams (based in HK & India); Ops & Support (based in HK & India); Internal 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 role – specifically in leveraging big data volumes, hands-on statistical analysis process with basic knowledge in Machine Learning & AI Technologies.
• A proven track-record in developing and landing actionable insight that has translated into real business benefits
• Exposure and hands-on experience to a broad range of
• Database technologies (e.g. SQL, NoSQL, Graph Databases)
• Data Science Programming Frameworks (e.g. Python, R) and
• Data Visualisation Tools (Tableau)
• Passion in data analysis, with solid foundation of statistical knowledge, correct advisory on various data tools
• Excellent communication and presentation skills in English
• Degree in Data Science related field - such as Maths, Statistics, Computer Science or similar (Bachelors minimum requirement; Masters preferable)
DESIRABLE
• Certificates in Tableau or native-cloud platforms
• Experience in GenerativeAI model hands-on usage and model tuning and configuration
• Experience on Machine Learning end-to-end projects, with motivation on self-study learning
• Exposure on Cloud and Big Data technologies (e.g., AWS, MS Azure, Google Cloud, Spark, Hive, Presto).
Competencies
• Analysis & Problem Solving: 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: 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: 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: 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: 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: 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: Completes routine work independently. Asks for guidance when needed from manager highlighting when errors made. Demonstrates integrity and ethical behaviour at all times
Fleet Management Limited is committed to diversity, equity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by local laws.
Our 29-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.
Job Position Summary
An exciting and challenging opportunity has arisen for the position of Data Science Analyst to help shape and drive forward the implementation of enhanced analytical capability across our fleet of ships.
Maritime is an industry going through significant disruption and the ability to leverage data to provide insight is crucial - so this role is key for our ability to lead in this space through the use of our NOVA analytics platform (part of the PARIS ecosystem).
This role is a key part of Fleet’s focus to develop leading digital capability to enhance and improve our platforms deployed over 650 ships.
Job Experience, Functional Knowledge and Qualifications
As a Data Science Analyst, your typical day might include:
Development of the NOVA Analytics Platform
• Planning and executing the development of analytics dashboards and other solutions in line with the Analytics Roadmap. This includes working from initial design to data sourcing/cleansing, model development/validation, implementation, prototyping and testing with end users
• Use functional understanding alongside data mining techniques to highlight opportunities for further data insight
• Willingness to learn new techniques proactively with a clear focus on how this can be used to help Fleet
Stakeholder Management & Communication
• Working closely with stakeholders and end users to understand domain knowledge and determining how best to deliver actionable results
• Assisting on building dashboards and drawing ad-hoc data insight in a simple to understand way
Team Working
• Working collaboratively with the rest of the IT team members – based onshore and offshore – to develop solutions delivered are high-quality and easy-to-support
• Building analytics capability and understanding across Fleet Management – by being able to explain in simple terms what you are working on and how it helps operational targets
Relationship:
INTERNAL:
• Development Teams (based in HK & India); Ops & Support (based in HK & India); Internal 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 role – specifically in leveraging big data volumes, hands-on statistical analysis process with basic knowledge in Machine Learning & AI Technologies.
• A proven track-record in developing and landing actionable insight that has translated into real business benefits
• Exposure and hands-on experience to a broad range of
• Database technologies (e.g. SQL, NoSQL, Graph Databases)
• Data Science Programming Frameworks (e.g. Python, R) and
• Data Visualisation Tools (Tableau)
• Passion in data analysis, with solid foundation of statistical knowledge, correct advisory on various data tools
• Excellent communication and presentation skills in English
• Degree in Data Science related field - such as Maths, Statistics, Computer Science or similar (Bachelors minimum requirement; Masters preferable)
DESIRABLE
• Certificates in Tableau or native-cloud platforms
• Experience in GenerativeAI model hands-on usage and model tuning and configuration
• Experience on Machine Learning end-to-end projects, with motivation on self-study learning
• Exposure on Cloud and Big Data technologies (e.g., AWS, MS Azure, Google Cloud, Spark, Hive, Presto).
Competencies
• Analysis & Problem Solving: 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: 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: 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: 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: 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: 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: Completes routine work independently. Asks for guidance when needed from manager highlighting when errors made. Demonstrates integrity and ethical behaviour at all times
Fleet Management Limited is committed to diversity, equity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by local laws.
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