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Business Analyst Intern

Position Code: NZBS01

Organisation Description:

This company is a rubber polymer recovery and re-processing business for end-of-life tyres (ELTs). This recovery and recycling process creates a high-value black unvulcanised rubber master-batch compound and scrap steel.

There are an estimated 1.5 billion ELTs generated globally on an annual basis. Current practice is to re-tread, re-purpose, stockpile, dump or dispose of these tyres through thermal processing – many of which create significant health and environmental risks.

This company’s solution is to recycle ELTs into scrap steel and rubber compound products that can be used to manufacture new tyres, re-treading products, asphalt-bitumen substitutes and binders, and other black-rubber compounding applications. The company’s plants accept most forms of ELTs in most sizes and other end-of-life rubber products, including conveyor belts.

Role:

Business Analyst Intern

Internship Description:

Possible tasks and projects include:

  • Conduct research and analysis to identify markets in the Oceania region for their environmentally conscious products derived from end-of-life tyre waste.
  • Develop reports and presentations to communicate findings and recommendations to management
  • Analyse competitors in the Oceania region and identify opportunities for growth and diversification
  • Develop a route-to-market strategy for the identified markets and make recommendations to management
  • Collaborate with other teams within the organisation to implement these strategies
  • Monitor and report on the progress of these strategies
  • Perform other duties as assigned

N.B. tasks and projects may vary depending on current priorities. Specific projects and responsibilities will be discussed during an interview.

Internship Requirements:

  • Currently enrolled in a bachelor’s or master’s degree program in business, marketing, or a related field.
  • Strong analytical skills with the ability to conduct research and analyse data
  • Excellent communication skills with the ability to present findings and recommendations to management
  • Passion for sustainability and the environment
  • Ability to work independently and collaboratively as part of a team
  • Familiarity with the Oceania region market and a good understanding of consumer behaviours and preferences in the region are preferred
  • Proficient in Microsoft Office, particularly Excel and PowerPoint

Don’t exactly match these requirements? If you have the enthusiasm and want to learn – then speak to Pagoda about this position and we’ll see what is possible!

Data Scientist for Machine learning in NLP

Internship Reference: ZHIT04

Company Description:

This Hong Kong company has branches based in Hong Kong, Zhuhai, Macau and Aukland, New Zealand. They deal with technologies which aim to improve banking, documentation automation, and ATM software. This includes developing A.I. technologies linked closely to banking to improve security and allow better analysis of data. This company is looking to develop, especially within China, and wants to offer the opportunity to properly train and learn about their business and company.

Internship Position:

Data Scientist Intern for Machine learning in NLP

Internship Description:

This internship will include analysing data required to effectively develop machine learning.  The intern will be expected to use multiple software programs to aid the analysis of data needed in the project.  They will be under daily guidance from a supervisor who will help them to learn more about the software and new technologies.

Internship Requirements:

  • Qualifications: Intern or recent graduate in computer science, engineering, statistics, mathematics, and allied disciplines
  • Programming skills (Python, Java or C++), Machine learning (Natural Language Processing, Optimization and Linear Algebra)
  • Experience in production/development level NLP systems
    A proven record of publications (in reputed conferences such as NIPS, COLT, UAI, ICML, AISTATS, JMLR, PAMI, CVPR, ICCV, and others)
  • Strong grounding in programming and systems design
    Strong grounding in machine learning (ML) approaches and techniques
  • Strong interest in researching and implementing new ML related technologies for NLP and CV
  • Experience on Pytorch, Tensorflow, BERT, XLNET etc would be a plus.

Application Developer Intern for A.I. Project

Internship Reference: ZHIT05

Company Description:

This Hong Kong company has branches based in Hong Kong, Zhuhai, Macau and Auckland, New Zealand. They deal with technologies which aim to improve banking, documentation automation, and ATM software. This includes developing A.I. technologies linked closely to banking to improve security and allow better analysis of data. This company is looking to develop, especially within China, and wants to offer the opportunity to properly train and learn about their business and company.

Internship Position:

Application Developer intern for A.I. Project

Internship Description:

This intern will participate in developing applications linked to the A.I. banking project currently being developed by the company. Their tasks would include using multiple software programs to assist setting up and planning the application. They will be under daily guidance from a supervisor who will help them to learn more about the software and new technologies.

Internship Requirements:

  • Qualifications: Intern or Fresh Graduate in Computer Science / ICT / Information Technology
  • Be familiar with JavaScript, ES6 etc
  • Knowledge of Node.Js and frameworks, such as Express, StrongLoop, etc
  • Good understanding of server-side templating languages{{such as Jade, EJS, etc}} and server-side CSS preprocessors {{such as Stylus, Less, etc}}
  • Basic understanding of front-end technologies, such as HTML5, and CSS3
  • Understanding accessibility and security compliance, User authentication and authorization between multiple systems, servers, and environments
  • Integration of multiple data sources and databases into one system
  • Understanding differences between multiple delivery platforms, such as mobile vs.desktop, and optimizing output to match the specific platform
  • Creating database schemas that represent and support business processes
  • Implementing automated testing platforms and unit tests
    Proficient understanding of code versioning tools, such as Git.