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

The teamseeksto understand our clients’ challenges andidentifyways of using data through data mining,modellingand advanced predictive and simulation analytics toassistthem in navigating the impact of various financial or operational changes to their business.

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

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

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

Key Responsibilities:

• Understand andanalysecomplex 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.

• Assistin 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 engagementobjectives

About You

• Penultimate year Computer Science, Computer Engineering, Engineering, InformationSystemsor other related disciplines that have an analyticalcomponentand 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, datamodelsand programming languages

• Strong analytical and critical thinking skillsAble toanalyseand break down complex concepts and technical findings into clear and simple language

• It willbe requiredto 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 optimisationsoftware and theory (e.g.discrete choice, agent based)