PSA Marine (Pte) Ltd – Fleet Engineering (Data Analytics) Internship

Company
PSA Marine (Pte) Ltd
globalpsa.com
Designation
Fleet Engineering (Data Analytics) Internship
Date Listed
25 Jul 2023
Job Type
Entry Level / Junior Executive
Intern/TS
Job Period
Flexible Start, For At Least 3 Months
Profession
Others / General Work
Industry
Marine and Offshore Engineering
Location Name
70 West Coast Ferry Road, Singapore 126800
Address
70 W Coast Ferry Rd, Singapore 126800
Map
Allowance / Remuneration
$850 - 1,200 monthly
Company Profile

We are PSA Marine, a leader in the maritime sector since 1964. From our early days as the Port of Singapore Authority to corporatisation as PSA Marine, we have played a vital role in Singapore’s growth as the world’s busiest container transhipment hub. Over the years, our business portfolio has expanded beyond core businesses – Towage and Pilotage, to marine advisory, navigational audit, water supply by waterboat, crew transfer in the offshore wind industry, and training and consultancy services.

With our team of 1,800 dedicated employees and modern fleet of more than 70 tugs, we have a presence in Peru, Europe, Bangladesh, China (including Hong Kong and Taiwan), Oman, and Southeast Asia today.

We are committed to deliver only the best as we continue to be alongside our customers and stakeholders in every leg of their journey. Our commitment to excellence fuels our zeal to innovate and define the future of maritime for the generations ahead.

Job Description

The intern will be attached to the Fleet Engineering section and will support the team in the following activities: 

  • Source, gather, and analyse sets of data from our Fleet Management System; 
  • Descriptive analytics: offer BI insights into what has happened using BI tools, visualisation on various operations profiles and operations states; 
  • Predictive analytics / Anomaly detection: detect anomalies in operational data, spot discrepancies and possible defects in equipment based on historical data and alarm; 
  • Improve equipment efficiency – electricity production and consumption as well as the overall efficiency of the on-board equipment, finding the most efficient speed from fuel consumption data; 
  • Perform any other ad-hoc duties as assigned. 
This position is already closed and no longer available.  You may like to view the other latest internships here.

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