This is a Data Scientist role with AGL based in Clifton Hill, VIC, AU AGL Role Seniority - mid level More about the Data Scientist role at AGL 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 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 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. Location Docklands VIC 3008 Job Family Group Analytics and Data Science Before we jump into the responsibilities of the role. No matter what you come in knowing, you’ll be learning new things all the time and the AGL team will be there to support your growth. Please consider applying even if you don't meet 100% of what’s outlined Key Responsibilities Building machine learning models ⚙️ Enhancing model performance Conducting experiments Key Strengths Machine learning Data visualization Statistical analysis SQL ⚡ Energy industry knowledge Python Why AGL is partnering with Hatch on this role. Hatch exists to level the playing field for people as they discover a career that’s right for them. So when you apply you have the chance to show more than just your resume. A Final Note: This is a role with AGL not with Hatch.
