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Job Description
**Join the change. Electrify your future!**
We've been proudly Aussie since 1837, always finding new ways to innovate in energy and essential services. Now, we're moving towards a sustainable future through electrification and investing in renewable energy—and we’d like you to join us. Whether you're on-site, in the office, or somewhere in between, you'll find opportunities to grow your career here. You'll work with a team that's passionate about powering Australian lives, in a culture that values inclusivity, respect, and learning. Help us create a cleaner energy future, and we’ll back you every step of the way as you build your career.
Join the change. Electrify your future.
**About the role**
As a Data Scientist, you'll join AGL's AI/ML and Innovation team within Data, AI Tech and Delivery, helping to turn data into practical business outcomes. Working alongside experienced data scientists, machine learning engineers and platform specialists, you'll contribute to the development of advanced analytics, AI and machine learning solutions that support better decision-making, improve business processes and create value across AGL.
This is an exciting opportunity for a recent graduate or early-career professional to apply their analytical and technical skills to real-world challenges, while building capability across data science, machine learning and software engineering in a supportive and collaborative team environment.
**What you'll be doing**
- Prepare, explore, cleanse and analyse large and complex datasets to support model development, experimentation and insights generation.
- Develop, test, evaluate and document machine learning models, analytical approaches and data science solutions.
- Work with stakeholders to understand business challenges, clarify requirements and translate problems into data-driven solutions.
- Communicate findings and recommendations in a clear and practical way to both technical and non-technical audiences.
- Collaborate with architects, engineers and platform teams to help deploy analytical solutions into operational and production environments.
- Apply best-practice approaches to model evaluation, experimentation and responsible AI.
- Continuously grow your technical capability through coaching, knowledge sharing and hands-on project delivery.
**What we're looking for**
- Strong foundational skills in Python and SQL, with exposure to data science and machine learning libraries such as pandas, scikit-learn, TensorFlow or PyTorch.
- An understanding of statistics, mathematical modelling and machine learning concepts, including predictive modelling, clustering, experimentation or Generative AI.
- A curious and analytical mindset with a passion for solving complex problems and learning new technologies.
- Experience through study, internships, research or personal projects involving data analysis, machine learning, AI or software development.
- Strong communication and stakeholder engagement skills, with the ability to explain technical concepts to a range of audiences.
- Familiarity with software engineering best practices, cloud technologies and modern data platforms; Azure certifications are highly regarded.
We’d love to see your applications by Thursday 23rd July 2026.
**At AGL, we offer a wide range of benefits including:**
- **Flexible working:** AGL offers a range of flexible working options including hybrid working and/or flexible hours.
- **Staff discounts:** Discounted energy and solar plans: Available for employees, family and friends.
- **Parental Leave:** 20 weeks paid leave for the primary carer plus employer-paid superannuation on unpaid leave.
- **Additional Leave:** 1 week ‘Recharge Leave’ for eligible employees and salary sacrifice up to 6 weeks additional leave.
- **Wellbeing Programs:** Partnerships with Medibank and Fitness Passport and on-site health appointments (massage, skin checks etc.).
- **AGL Shares:** Up to $1000 as part of annual Share Reward plan and salary sacrifice up to $5000 of shares.
*\*Benefits may change over time and vary based on role type and location.*
#LI-GJ1
**Inclusion at AGL**
At AGL, we value diversity and welcome applicants from various backgrounds, including Aboriginal and/or Torres Strait Islander peoples, individuals with disabilities, culturally diverse individuals, and members of the LGBTQ+ community. AGL is dedicated to maintaining a diverse workforce and encourages applicants to share their lived experiences.
We offer reasonable adjustments throughout the recruitment process and respect the privacy of those who choose not to disclose. To learn more visit: http://www.agl.com.au/careers
**AGL is proud to be a WORK180 Endorsed Employer for All Women.**
*Our pre-employment screening process includes a Nationally Coordinated Criminal History Check and a medical assessment if necessary.*
*The information provided as part of your application to AGL will be managed in accordance with the [AGL Privacy Policy](http://www.agl.com.au/privacy-policy).*
*AGL does not accept agency submissions unless approval has been granted by a member of the Talent Acquisition team. Candidates submitted by an agency without approval will not be considered by AGL.*
**Location**
Docklands VIC 3008
**Job Family Group**
Analytics and Data Science
Key Responsibilities
Prepare, explore, cleanse, and analyze large and complex datasets to support model development and insights generation.
Develop, test, evaluate, and document machine learning models, analytical approaches, and data science solutions.
Collaborate with stakeholders to understand business challenges and translate problems into data-driven solutions.
Communicate findings and recommendations clearly to both technical and non-technical audiences.
Work with architects, engineers, and platform teams to deploy analytical solutions into operational environments.
Apply best-practice approaches to model evaluation, experimentation, and responsible AI.
Grow technical capability through coaching, knowledge sharing, and hands-on project delivery.
Skills Required
PythonSQLpandasscikit-learnTensorFlowPyTorchStatisticsMathematical modellingMachine learningPredictive modellingClusteringGenerative AISoftware engineering best practicesCloud technologiesModern data platformsAnalytical mindsetCommunicationStakeholder engagementProblem solvingCuriosity
Benefits
Flexible working options
Hybrid working
Discounted energy and solar plans
20 weeks paid parental leave
Employer-paid superannuation on unpaid leave
1 week Recharge Leave
Salary sacrifice up to 6 weeks additional leave
Wellbeing Programs (Medibank, Fitness Passport, on-site health appointments)
AGL Shares reward plan
Salary sacrifice up to $5000 of shares
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