Join the change.
Together, we'll make history.
As we keep the lights on for over four million customers and move towards a more sustainable way of life, it's an exciting time to be at AGL.
We're re-imagining how homes and business live and work across the country and we want you to be a part of it.
This moment will define our time, and your career as you work alongside Australia's best and brightest minds.
You'll grow and learn in a collaborative, safe and supportive environment and play your part in changing the course of tomorrow.
Everyone at AGL is an important part of building a better energy future and we want you to join in.
About the Role: The Data Scientist, part of the Data Science Chapter within Product & Commercial, plays a crucial role in driving AGL's profitability.
They build and maintain advanced data models, analyse complex datasets, and develop predictive models to solve business problems and uncover growth opportunities.
Reporting functionally to the GM of Product & Commercial and the Data Science chapter lead, Data Scientists are embedded in cross-functional teams to support business objectives.
They maintain strong ties with the Data Science Chapter for capability development, knowledge sharing, and aligning on data practices, while being accountable for upholding data standards and achieving business goals.
What you'll be doing: Build and iterate machine learning models to tackle business challenges like customer segmentation and marketing optimization.
Enhance model performance through feature engineering, hyperparameter tuning, and ensemble methods.
Conduct experiments to test hypotheses and derive actionable insights from data.
Create compelling visualizations to effectively communicate complex insights to stakeholders.
Identify new applications for data science to generate refined insights.
Stay updated on industry trends and emerging technologies to drive innovation About you: Previous demonstrated experience in customer segmentation and predictive behaviour modelling.
Strong analytical skills, with experience in applying statistical techniques to solve business problems.
Proficient in developing and implementing predictive models, segmentation models, and other statistical models using tools such as R, Python, or SAS (Python preferred).
Basic SQL skills and understanding of version control systems (ie.
Git repository) Experience in using data visualization tools such as Tableau or Power BI to effectively communicate complex findings to both technical and non-technical stakeholders.
Knowledge of the energy industry, including familiarity with energy consumption patterns, regulatory frameworks, and industry-specific challenges.
– preferred – not essential.
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 a Circle Back Initiative employer - we commit to respond to every applicant.
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.
Location: Docklands VIC 3008 Job Family Group: Analytics and Data Science
