About the placement
This internship is with Adiona and is facilitated by the CSIRO’s Generation STEM Links program.
Adiona is seeking a technically inclined and analytical intern to join their team in exploring the use of AI and automation tools to streamline and optimise internal business processes.
As an intern, you will work closely with Adiona’s leadership and technical teams to analyse current workflows in sales and customer engagement, identify inefficiencies, and prototype AI-powered solutions. The focus will be on leveraging modern AI frameworks and automation platforms to enhance operational efficiency, reduce manual effort, and improve data-driven decision-making.
Key Responsibilities
- Analyse and document existing sales and customer engagement workflows to identify automation opportunities.
- Research and evaluate AI tools and automation frameworks (e.g., OpenAI APIs, Zapier, HubSpot, Salesforce) for their technical capabilities and integration potential.
- Develop proof-of-concept solutions using scripting, APIs, or automation platforms to streamline tasks such as lead qualification, CRM updates, and data enrichment.
- Conduct performance testing and usability assessments of selected tools.
- Present findings and technical recommendations to stakeholders, including documentation of implementation steps and potential impact.
- Support integration efforts and provide technical guidance to internal users where feasible.
What You’ll Gain
- Practical experience applying AI and automation tools to real-world business systems.
- Exposure to systems thinking, process mapping, and technical evaluation of AI frameworks.
- Hands-on development of automation scripts and workflows in a startup environment.
- Mentorship from experienced professionals in AI, systems integration, and business operations.
Work arrangements
- Start date: Mid-August (flexible)
- Working arrangement: Temporary part-time position at $25 per hour plus superannuation, for a total of 200 hours
- Location: UTS Building 5, Quay St, Sydney.
Desired capabilities
- Currently enrolled in a degree related to Computer Science, AI, Data Science, or a related technical field.
- Strong analytical and problem-solving skills, with an interest in intelligent automation and systems design.
- Familiarity with APIs, scripting (e.g., Python or JavaScript), and cloud-based automation tools.
- Comfortable working with structured data and CRM systems.
Bonus: Experience with AI tools (e.g., OpenAI, Claude, Gemini), workflow automation platforms (e.g., Zapier, Make), or CRM integrations.
Requirements
- Must be an Australian citizen or permanent resident.
- Must be in your penultimate or final year of an undergraduate qualification.
About the Industry Partner
Adiona powers millions of efficient product deliveries for some of the world’s largest brands, including Coca-Cola, Australia Post, and BP. Its AI-powered delivery route planning and optimization platform leverages machine learning and real-time traffic data to reduce delivery costs, improve end-to-end visibility, and lower CO2 emissions. For companies transitioning to EVs, bikes, or on-demand delivery models, Adiona’s fleet simulator provides actionable insights for fleet purchasing, deployment, and infrastructure planning.
Apply
If you are interested in this internship, please submit your EOI and CV online through the Student Application webform and please specify CODE0129b
About the placement
This internship is with Adiona and is facilitated by the CSIRO’s Generation STEM Links program.
Adiona is seeking a technically inclined and analytical intern to join their team in exploring the use of AI and automation tools to streamline and optimise internal business processes.
As an intern, you will work closely with Adiona’s leadership and technical teams to analyse current workflows in sales and customer engagement, identify inefficiencies, and prototype AI-powered solutions. The focus will be on leveraging modern AI frameworks and automation platforms to enhance operational efficiency, reduce manual effort, and improve data-driven decision-making.
Key Responsibilities
- Analyse and document existing sales and customer engagement workflows to identify automation opportunities.
- Research and evaluate AI tools and automation frameworks (e.g., OpenAI APIs, Zapier, HubSpot, Salesforce) for their technical capabilities and integration potential.
- Develop proof-of-concept solutions using scripting, APIs, or automation platforms to streamline tasks such as lead qualification, CRM updates, and data enrichment.
- Conduct performance testing and usability assessments of selected tools.
- Present findings and technical recommendations to stakeholders, including documentation of implementation steps and potential impact.
- Support integration efforts and provide technical guidance to internal users where feasible.
What You’ll Gain
- Practical experience applying AI and automation tools to real-world business systems.
- Exposure to systems thinking, process mapping, and technical evaluation of AI frameworks.
- Hands-on development of automation scripts and workflows in a startup environment.
- Mentorship from experienced professionals in AI, systems integration, and business operations.
Work arrangements
- Start date: Mid-August (flexible)
- Working arrangement: Temporary part-time position at $25 per hour plus superannuation, for a total of 200 hours
- Location: UTS Building 5, Quay St, Sydney.
Desired capabilities
- Currently enrolled in a degree related to Computer Science, AI, Data Science, or a related technical field.
- Strong analytical and problem-solving skills, with an interest in intelligent automation and systems design.
- Familiarity with APIs, scripting (e.g., Python or JavaScript), and cloud-based automation tools.
- Comfortable working with structured data and CRM systems.
Bonus: Experience with AI tools (e.g., OpenAI, Claude, Gemini), workflow automation platforms (e.g., Zapier, Make), or CRM integrations.
Requirements
- Must be an Australian citizen or permanent resident.
- Must be in your penultimate or final year of an undergraduate qualification.
About the Industry Partner
Adiona powers millions of efficient product deliveries for some of the world’s largest brands, including Coca-Cola, Australia Post, and BP. Its AI-powered delivery route planning and optimization platform leverages machine learning and real-time traffic data to reduce delivery costs, improve end-to-end visibility, and lower CO2 emissions. For companies transitioning to EVs, bikes, or on-demand delivery models, Adiona’s fleet simulator provides actionable insights for fleet purchasing, deployment, and infrastructure planning.
Apply
If you are interested in this internship, please submit your EOI and CV online through the Student Application webform and please specify CODE0129b