Consulting - Digital, Cloud, Data (Data) Off Cycle Internship (Jan - Jun 27)

About Our Team 
The Cloud, Digital, Data (Data) team helps clients optimise data and analytical assets to make better decisions, work more efficiently, and find new sources of revenue. 

The team seeks to understand our clients’ challenges and identify ways of using data through data mining, modelling and advanced predictive and simulation analytics to assist them in navigating the impact of various financial or operational changes to their business. 

We have a supportive and diverse team who strongly believe in learning and growing as a team. By joining the team, you will have the opportunity to be exposed to a range of industries and clients and solve interesting problems with data. 

About the Role 
As part of the Cloud, Digital, Data (Data) team, you will support initiatives that help organisations leverage data and analytics to drive better decision-making, improve efficiency, and unlock new sources of value. 

In this role, you will gain hands-on experience in analysing complex data, building analytical models, and translating insights into clear, actionable outputs. Working within a supportive and collaborative team, you will contribute to solving real business problems using data while developing strong technical and analytical capabilities across a range of industries. 
 

Key Responsibilities: 

• Understand and analyse complex client commercial, operational, and financial data, supporting the identification of key trends, insights, and issues relevant to business challenges. 

• Design, build, and review analytical models to support the development of data-driven solutions for client needs, ensuring outputs are structured and reliable. 

• Translate complex analytical findings into clear, concise, and easy-to-understand insights, supporting effective communication to both internal teams and external stakeholders. 

• Assist in interpreting results from analytical models to support decision-making and provide meaningful context to business scenarios. 

• Collaborate with team members to refine analyses and outputs, ensuring consistency, accuracy, and alignment with engagement objectives. 

About You  

• Penultimate year Computer Science, Computer Engineering, Engineering, Information Systems or other related disciplines that have an analytical component and quantitative focus students from local or overseas universities 

• Pro-active, adaptable, and flexible. Able to apply new tools and techniques such as proprietary analytical software, data models and programming languages 

• Strong analytical and critical thinking skills. Able to analyse and break down complex concepts and technical findings into clear and simple language 

• It will be required to have basic competency in one or more of the following: 

                (a) Analytical software and languages (e.g. PowerBI, Python, R)             

                (b) Relational or graph databases and tools (eg. SQL, SSMS, MySQL) 

                (c) Knowledge of simulation or optimisation software and theory (e.g. discrete choice, agent based)