Intern - Fleet Intelligence

The Atlas Corp. and Seaspan teams are goal-driven and share a high-performance culture, focusing on building services offerings to become a leading asset manager. Seaspan provides many of the world's major shipping lines with alternatives to vessel ownership by offering long-term leases on large, modern containerships and pure car, truck carriers (PCTCs) combined with industry leading ship management serves. Seaspan's fleet has evolved over time to meet the varying needs of our customer base. We own vessels in a wide range of sizes, from 2,500 TEU to 24,000 TEU vessels. As a wholly owned subsidiary of Atlas Corp, Seaspan delivers on the company's core strategy as a leading asset management and core infrastructure company.

Position Description:

The A&T intern would work with the Fleet Intelligence team to:

• Develop and maintain data pipelines and databases to support data analytics and process automation
• Actively work with Databricks to leverage existing codebases for automated data processing
• Built an understanding of key metrics of the maritime industry to support the business in gaining insights 
  from fleet operational data
• Support the team in developing and maintaining high-quality data products based on the below setup:
  o    Python-based dashboards within the Plotly-Dash ecosystem
  o    Data extraction and transformation on SQL and Databricks-based platforms
• Usage of and contribution to Fleet Intelligence’ own python library and GitHub repositories

Job Responsibilities:

• Takes responsibility for developing new data pipelines for business-relevant data sources and maintains critical data pipelines and processes, including code review and documentation
• Works with the business to improve and automate existing processes around fleet operational data and to implement new requirements
• Supports the team in standardizing calculations and functions into Fleet Intelligence’ python library 
• Supports the team to ensure data pipelines’ reliability and data quality standards are met by internal and external data sources
• Research and outlook for latest technological advancements in Data Science, relating to big data, machine learning and Plotly-Dash
• Support with documentation of new processes, code, and software related to Seaspan’s digitalization and decarbonization strategy

Requirements:

• Bachelor degree in Mathematics, Data Science, Computer Science or similar; Master’s degree student
• Good knowledge of Python, basic knowledge of SQL and Databricks/PySpark
• Good understanding of code versioning and CI/CD workflows with GitHub
• Willingness to invest time into generating high-quality data products and code including code documentation, versioning and code review
• Creativity in approaching challenges and proposing innovative solutions with an open-minded attitude
• Good verbal and written communication skills
• Ability to prioritize and perform multi-tasking
• Able to work with energy, showing initiative, resourcefulness and care for detail, neatness, diligence, in a fast-paced environment
• Optional: Maritime Background, experience in the shipping industry

Compensation and Benefits package

Seaspan’s total compensation is based on our pay-for-performance philosophy that rewards team members who deliver on and demonstrate our high-performance culture. The hiring range for this position is $21 - $23 CAD per hour. The exact base salary offered will be commensurate with the incumbent’s experience, job-related skills and knowledge, and internal pay equity. 
 
Atlas Corp. and Seaspan Corporation are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, colour, religion, gender, sexual orientation, gender identity, national origin, disability, or protected Veteran status.
We thank all applicants in advance. If your application is shortlisted to be included in the interview process, one of our team will be in contact with you.