Real-Time Energy Data Scientist — Perth

Synergy (Electricity Generation and Retail Corporation)

Western Australia

On-site

AUD 110,000 - 150,000

Full time

2 days ago
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Job summary

Synergy, Western Australia’s leading energy provider, is seeking a Data Scientist for a 12 month fixed-term role in the Technology and Business Services team, based at Central Park, Perth. You will develop data-driven solutions addressing real-time operational challenges and deliver insights to improve DER and system performance.

You will collaborate with analytics, data analysts and business stakeholders to ensure solutions are fit-for-purpose, maintain data quality, and drive informed

Qualifications

  • Four years’ experience in BI, analytics or data science.
  • Excellent analytical, interpersonal and communication skills.
  • Cross-functional capability and ability to work in a DevOps environment.
  • Experience accessing, manipulating and transforming data from multiple sources.
  • Experience in DER systems applications or the energy utilities industry.

Responsibilities

  • Design, build and support advanced analytics, real-time data pipelines and reporting solutions.
  • Develop and optimise data transformation assets and models to deliver actionable insights.
  • Partner with analytics teams and stakeholders to ensure fit-for-purpose solutions.
  • Maintain data quality, governance and management standards.
  • Lead innovation across analytics processes and software assets.

Skills

Analytical skills
Interpersonal skills
DevOps experience
Data manipulation
Predictive modelling

Tools

BI tooling
ML models
Data pipelines

Job description

Synergy, Western Australia’s leading energy provider, is seeking a Data Scientist for a 12 month fixed-term role in the Technology and Business Services team, based at Central Park, Perth. You will develop data-driven solutions addressing real-time operational challenges and deliver insights to improve DER and system performance.

You will collaborate with analytics, data analysts and business stakeholders to ensure solutions are fit-for-purpose, maintain data quality, and drive informed

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