Senior Data Scientist (Distribution)
Apply for this job
These roles are hiring now
View all similar roles →Senior Data Scientist
- Lead AI/ML solution development and implementation across the business
- 5+ years data science experience including model deployment
- Python, SQL, LLM applications, RAG, AI evaluation, cloud platforms
Senior Data Scientist
- Lead predictive ML, AI solutions for child safety, quality, retention
- 5+ years data science, ML, advanced analytics experience
- Python, SQL, GenAI, LLMs, XGBoost, Azure ML, MLOps
Staff Data Scientist
- Lead data science team, deliver ML models and experimentation frameworks
- Experience leading data science teams with end-to-end project delivery
- Python, PySpark, Databricks, XGBoost, A/B testing, deep learning
Binance Accelerator Program - Data Scientist (On Chain background)
- AI and blockchain research, prototype development, on-chain applications
- Master's or PhD student
- Python, LLM, agents, blockchain, smart contracts, DeFi
We bring the energy! Through purpose and people - not just through the infrastructure we operate, but through the way we show up for each other, our customers' and our communities. The future of energy is in our hands. Let's shape it together.
Are you ready to turn complex data into insights that matter? We have an opportunity for a Senior Data Scientist (Distribution) to embed within our Asset Management team and apply advanced analytics, machine learning and modelling to real operational challenges.
Reporting to the Manager, Asset Strategy & Risk, this role is based at Freshwater Place and plays a critical role in supporting asset investment, safety and performance decisions.
What you'll help deliver
- Analyse complex asset, operational and customer data to uncover trends and insights
- Develop predictive, statistical and machine learning models to improve asset risk management
- Partner with engineers and leaders to solve real world problems
- Translate complex analysis into clear, credible insights for senior stakeholders
You don't need to check every box, however we're looking for a good combination of:
- Strong experience in data science, analytics and modelling (Python, SQL, dashboards)
- Ability to work with large, complex data sets across multiple systems
- Confidence communicating insights and challenging assumptions with evidence
- Background in utilities, asset‑intensive or similar environments (preferred)
The AusNet experience is all about…
- Growing your impact: Work on problems that directly improve safety and reliability
- Solving complex energy challenges: Apply data science where it genuinely matters
- Building an energy future to be proud of: Support the transition through better decisions
We're committed to building an inclusive culture and a diverse workforce. We encourage applications from people of all backgrounds and experiences. If you need adjustments during the recruitment process, we're happy to discuss how we can support you.
At AusNet, we bring the energy. Ready to make your impact? Apply now.