We are unique
We are a regional business that thinks on a global level. We work with determined, passionate and curious people to empower communities to share and use energy for a better tomorrow. With a network that powers 95% of NSW and parts of Southern Queensland, we ensure homes, hospitals, schools, businesses, and services stay connected.
We are currently recruiting for a Senior Data Scientist Power System Analysis. This role can be based anywhere within Essential Energy’s operational footprint throughout NSW.
About the role
Increasing customer access to solar generation, storage and electric vehicles is expected to increase demand on network access, making management of performance and customer outcomes increasingly challenging.
The Senior Data Scientist is responsible for championing the discipline of data science applied to analysis of the electricity network through delivery of computational and mathematical methods to extract insights and knowledge from data, which enables advanced business insights for better decision making.
The role will involve the end to end development and application of various tools, data modelling, data mining, statistical techniques, algorithms, and machine learning principles to identify trends, patterns, and insights from raw data.
About You
You have proven background in applying data science techniques into solving industry problems, including the development and application of analytical models.
You are confident in applying conceptual thinking in leading the development of approaches and tools for the analysis and optimisation of solutions to complex problems.
Qualifications:
- Bachelor Data Science, Computer Science, or Applied Mathematics or demonstrated capability through past employment experience and/or relevant qualifications.
Desirable
- Understanding of electrical engineering and/or customer and electricity network behaviour
Experience
- History of leveraging your data science experience to build data models - data cleaning, data modelling, statistical analysis, data visualisation and machine learning
- Experience in a data science field applying data science approaches in industry to generate meaningful insights from data
- Demonstrated ability to identify commercial relevance of analysis and manage and be responsible for the delivery these outcomes
- Proven record of accomplishment in the end to end process; understand the key business problems, source data, develop data models, provide implementable outcomes
- Experience in development of statistical modelling of large datasets utilizing cloud-based resources
- Experienced troubleshooting and solving complex technical problems on large datasets.
Skills
- Capacity to understand available models and develop their application into industry problems
- Strategic and critical thinking skills with good judgement and supported by a bias for action and outcomes
- High levels of influencing and communication skills including the ability to liaise effectively with internal and external stakeholders at all levels, supported by excellent writing skills
- Stakeholder engagement skills and an ability to support senior stakeholders, internally and externally
- Experience in computer operations, business systems and tools including Databricks, RPython, SQL
- Strong understanding of digital / technologies and how they drive business value, with working knowledge of cloud-based computing environments and platforms
- Proven experience disseminating data science solutions for in real-world environments
We are united in our purpose and we live our values. We love a challenge, thrive in a culture that’s all about team work and we are here for our customers no matter what.
For further information please contact Joanne Dingle on 0409 184 064.
Applications close 11:55pm, 21st May 2023.
Passionate People, Global Thinking, Regional Heart.
Building a better energy future.
Essential Energy is committed to building a culturally diverse and inclusive workplace and strongly encourages applicants to apply regardless of gender, age, ethnicity, sexual orientation, or disability.
As an organisation, our aim is to champion inclusivity in the workplace and celebrate the difference in all our employees.
