Temporary jobs in Singapore

Contract Duration

· 1 year

Working Location

· Novena

Working Hours

· 5 Days (Mon, Tue, Thur & Fri: 9.00am to 6.30pm; Wed: 9.00am to 6.00pm)

· Lunch: 1 hour

Offered Salary

• Up to S$3,000 per month (Depending on qualifications & experience and subject to client’s approval)

Requirements, Skills and Experience Level

· Minimally an A-level or Polytechnic graduate

• Excellent organisational and administrative capabilities, with a keen eye for detail.
• Basic knowledge of data analysis, machine learning concepts, and data governance practices.
• Strong communication skills, capable of producing clear and engaging content for a variety of audiences.
• Proficiency in office software and tools, with an openness to learning new technologies relevant to data analysis and communication.
• Ability to work collaboratively in a team, demonstrating flexibility and a positive attitude.
• Self-motivated with the ability to manage tasks independently in a fast-paced environment.

Additional Information:

This temporary position offers a unique opportunity to gain experience and contribute to the success of the data division in a dynamic and fast-paced environment of data analytics and AI. The role is ideal for individuals looking to gain work experience and learn from experienced data professionals in areas of data analytics, AI and data governance, while developing their administrative and organisational skills.

Job Description

Overview:

The Temporary Support Role within the Data Division is designed to provide support across a range of functions to enhance the division's productivity and efficiency on a temporary basis. The individual in this role will contribute to administrative tasks, support data analysis and machine learning projects, assist in organising team events, and help manage data governance and communication efforts. This position requires adaptability, attention to detail, and a collaborative approach.

Key Responsibilities:

1. Support for Data Analysis and Machine Learning Projects:

· Aid data analysts and data scientists by collecting and preparing training datasets, which includes tasks such as gathering images and labelling data accurately.

· Participate in the validation of machine learning models by conducting preliminary tests and providing feedback to improve accuracy and efficiency.

1. Data Governance and Management Assistance:

· Support data governance efforts, ensuring compliance with relevant standards and regulations.

· Help in tracking data acquisitions, requests and monitoring of data sharing activities, ensuring compliance with data protection and privacy regulations.

· Support the implementation of data governance frameworks by documenting data processes and maintaining data inventories.

1. Administrative Assistance:

· Conduct administrative duties such as scheduling and arranging Data Division meetings and events, booking of related venues, requesting and circulating agenda and taking of meeting notes.

· Ensure effective knowledge management by updating the taxonomy, assisting project leads to archive information, and keeping records up-to-date and making information readily accessible to team members.

1. Team Building and Event Organisation:

· Assist in the planning and execution of team-building activities and retreats, contributing to a positive and cohesive team environment.

· Support logistical arrangements and coordinate with vendors and venues to ensure events run smoothly.

· Organise brownbag sessions and data workshops for data users within the organisation.

1. Communication and Promotion Support:

· Contribute to the creation of communication materials such as newsletters, blog posts, and social media content to promote the division's work and achievements.

· Assist in updating the division's web content and managing online platforms to engage with the community and stakeholders effectively.

· Assist with the workplan consultation process including the call for collaboration inputs and setting up of Division’s booth at the organisation workplan seminar.

EA License No.: 96C4864

Reg No.: R1106928 TOH LAY HOON