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Data Scientist

AGL
Docklands, VIC
hybrid
Full Time / Permanent

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

We're looking for two Data Scientists to join AGL's Data Science Chapter and partner with the Acquisition Performance & Enablement and Product & Pricing Analytics teams. You'll leverage advanced analytics, machine learning and predictive modelling to solve complex business challenges, uncover growth opportunities and deliver data-driven insights that influence commercial decision-making.

Working in a cross-functional environment, you'll collaborate closely with business stakeholders while remaining connected to a community of data science specialists focused on innovation, knowledge sharing and best practice.

What you'll be doing:

  • Develop advanced machine learning, predictive and optimisation models that drive customer growth, retention and commercial performance.
  • Transform large, complex datasets into actionable insights that inform strategic decisions and create measurable business value.
  • Partner with stakeholders across Product, Commercial, Technology and Analytics teams to solve high-impact business challenges.
  • Design experiments, investigate customer behaviours and uncover opportunities to enhance products, pricing strategies and customer experiences.
  • Bring insights to life through compelling data storytelling, visualisations and dashboards while championing innovation and best-practice data science across AGL.

About you:

  • Proven experience developing predictive models, machine learning solutions and advanced analytics to solve complex business problems.
  • Strong programming skills in Python, SQL, with the ability to work across large and complex datasets.
  • Expertise in translating data into actionable insights and communicating recommendations to both technical and non-technical stakeholders.
  • Experience with data visualisation and reporting tools such as Power BI or Tableau, bringing insights to life through compelling storytelling.
  • A curious and commercially minded approach, with a passion for innovation, experimentation and using data to drive customer and business outcomes.

At AGL, we offer a wide range of benefits including:

  • Flexible working options including hybrid work.
  • Discounts on energy, telcos and solar plans.
  • Participate in Energise - our reward & recognition program.
  • Access 20 weeks of paid parental leave for the primary carer.
  • Access to an additional week of recharge leave per year.
  • Play an active role in our diversity & inclusion initiatives.
  • Novated leasing and Electric Vehicle subscriptions.
  • Access to study assistance, AGL's share purchase plan and insurance deals.

*Benefits may change over time and vary based on role type and location.

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: 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.

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.

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