Data Scientist

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 Scientist to lead the Analytics team at Fleet shaping and driving forward the implementation of enhanced analytical capability.

The successful candidate will be responsible for leading the development and implementation of analytical models using the latest technology stack to assist operational decision working in close collaboration with Board-level stakeholders. Maritime is an industry going through significant disruption and the ability to leverage data to provide predictive and prescriptive analytics so this role is a critical part of using technology to help Fleet lead in this space.

This role is a key part of our focus to develop leading digital capability to enhance and improve our platforms deployed over 650 ships and over 25k+ seafarers.

Job Experience, Functional Knowledge and Qualifications   

As a Data Scientist, your typical day might include:

Leading Analytics Capability Development

• Plan and execute the development of analytics solutions from initial design to data sourcing/cleansing, model development/validation, implementation, prototyping and testing
• Utilising data mining techniques (including GenerativeAI) coupled with operational understanding, highlight opportunities for further investigation 
• Develop and prioritise the roadmap for data science projects to align with overall business strategy

Stakeholder Management & Communication

• Working closely with stakeholders and end users to understand analytics needs, translate these into projects and determine how best to deliver actionable results
• Communicating clearly and concisely across all levels to gain buy-in to ideas and concepts
• Showcasing results and highlighting actionable 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
• Being seen as a go-to expert for analytics providing guidance to both the IT team and the wider business

Relationship:

INTERNAL: 

• Development Teams (based in HK & India); Ops & Support (based in HK & India)
• Internal Stakeholders – including up to Board-level directors

EXTERNAL:

• Interaction with vendors/third parties;

Job Experience, Functional Knowledge and Qualifications

ESSENTIAL

• 3+ years’ experience as a Data Scientist role – specifically in leveraging vast amounts of data with hands-on data science skills including advanced analytics such as Machine Learning and Generative AI
• A proven track-record in developing and delivering actionable insight that has resulted in real operational benefit
• Exposure and hands-on experience to a broad range of 
  • Cloud technologies (either in AWS or Google Cloud)
  • Big Data & Database technologies (SQL, Spark, Hive, Presto, NoSQL, Graph Databases)
  • Data Science Programming Frameworks (eg Python, R) and 
  • Data Visualization Tools (e.g. Tableau, QilkSense, PowerBI)
• Passion in data science, with solid foundation of the knowledge correct advisory on various tools such as Regression, Classification, Computer Vision, NLP, etc.
• Experience of coaching and mentoring of data science team members to achieve more
• Excellent communication and presentation skills in English
• Bachelors Degree in Data Science related such as Maths, Statistics, Engineering or similar

DESIRABLE

• Masters Degree in Data-Science related fields
• AWS and Tableau certifications
• Understanding of Maritime industry

Competencies

• Analysis & Problem Solving: Uses a systematic approach to root cause analysis on complex problems to identify underlying trends and put forward well-thought-out solutions to address the causes and reduce risk
• Listening & Communicating: Is effective in communicating his vision with a wider audience. A good communicator knows when to use which channel, and which tone of voice in order to drive maximum impact.
• Collaboration, Inclusion & Teamwork: A great team player who pro-actively goes out there to encourage, support and recognise work performed by others. The person is always trying to find common ground to share his ideas and experience.
• Customer Focus: Proactive in maintaining relationships and managing customer expectations effectively. Takes a partnership approach to solve problems and improve service standards using data to define continuous improvement
• Planning & Organising: Uses technology and tools to drive effective project planning with projects having clear success criteria and milestones. Escalates in a timely manner and seeks feedback with all colleagues throughout the execution phase mitigating risks as they arise.
• Initiative: Always looks for opportunities to improve efficiency and effectiveness in their own and other peoples work backed by clear rationale and benefits to the business. Role models desired change behaviour and uses external best practice as reference.
• Accountability: Sets high work and ethical standards for self and others including budget management, work quality, timelines. Ensures that tasks and projects within responsibility areas meet promises made. Acknowledges mistakes openly identifying learnings to be applied.
• Resilience & Managing Well-being: Maintains continuing high-performance standards when under additional pressure, higher workload or in changing circumstances. Recovers quickly from setbacks or feedback, applying lessons learnt. Maintains composure in stressful situations.
• Adaptability: Takes a leadership role in supporting colleagues through business change initiatives. Identifies improvements in line with changing business strategies. Puts themselves in place of the people being impacted when implementing change
• Industry & Business Acumen: Keeps up with shipping industry and business trends for improvement. Contributes to plans and meetings with good grasp of company priorities. Evaluates metrics to identify work priorities and recommends viable improvement ideas
• Setting Direction & Planning: Develops clear plans and priorities for own work and team alignment. Aligns tasks and plans with business strategies and departmental KPIs. Balances work distribution fairly and shares progress with stakeholders.
• Including and Empowering the Team: Listens to all team members, empathises with concerns and looks for solutions. Shares knowledge and plans to help the team connect with wider strategies. Trusts and supports team members, focuses on their wellbeing and individual  circumstances
• Developing Organisational and Team Capability: Takes time to understand team motivations, skills and aspirations. Creates targeted development plans covering both hard and soft skills. Recognises potential in team members and provides regular constructive feedback for development to accelerate their career growth
• Driving High Performance:  Sets high standards, tackles poor performance and models values. Manage costs effectively, leads continuous improvement and aligns team behaviour. High-quality leadership is required with focus on quality, accuracy, and timeliness

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.