Data Scientist

The time to join Synergy has never been more exciting because you’ll be helping us to deliver on our commitment towards becoming a net zero carbon emission business by 2050.

We are investing $3 billion in large-scale renewables development and creating unlimited opportunities for our people to contribute to the growth of innovative solutions in our operations as we invest. This is your chance to help us transform the energy industry and build a more sustainable future for Western Australia.

Synergy is proud to be Western Australia’s largest electricity generator and energy retailer. We deliver secure electricity to homes and businesses throughout the Southwest Interconnected System (SWIS) from Coral Bay in the north, to Kalgoorlie in the east, and to Esperance in the south

Click here to discover more about how Western Australia’s energy landscape is evolving to become more sustainable.

Role Description

The Data Scientist position is a detail orientated, diverse and impactful opportunity within our Customer Team based at our Perth CBD offices.

The purpose of this role is to assist in the development, implementation and review of cost, pricing and market modelling of WEM data. Furthermore, to develop descriptive, predictive, prescriptive and ensemble modelling using advanced statistical techniques and/or other approaches in quantitative analysis to manage complex business challenges including but not limited to the effective integration of Distributed Energy Resources in the SWIS.

Job Responsibilities

• Lead modelling and development to support strategic programs, operations initiatives, and new products and solutions using descriptive, predictive, prescriptive modelling, machine learning, and complex mathematical modelling/tool development.
• Make and execute strategic recommendations to improve analytics availability and value and/or take advantage of specialized data science services and solutions.
• Develop and analyse customer and market research to optimise existing products and services and identify new product development and service or process enhancement opportunities.
• Drive cost and margin outcomes via a thorough understanding of P&L drivers in current DER and other products.
• Analyse and suggest product structure, pricing and promotional strategies that ensure DER and other products achieve performance targets.
  
  

What You Will Bring

• Tertiary qualifications in data science, IT, engineering, business, economics, or related field
• 1 - 3 years of data science or data engineering experience, working within WA Energy, renewable energy, or other utility
• Effective stakeholder and partner management
• Strong Python or R analytics programming competence, ideally with experience using Databricks and Azure blob storage
• Experience in mathematical modelling of large-scale, real-world optimization problems and design of algorithms that obtain implementable cost-efficient solutions.
  
  

What We Offer

Working for an employer of choice also means you will enjoy:

• Flexible work arrangements
• Professional Development Opportunities
• Purchased Annual Leave
• Best practice parental leave
  
  

Click here for a full list of our benefits

Every Voice Matters

Our employees have a choice to work for Synergy and it’s a choice we respect and value. In addition to our focus on creating a greener future, Synergy is committed to its ‘people first’ culture and providing an exceptional place to work where our people experience a sense of belonging and have opportunities to learn and grow.

We understand that it is important for our workforce to reflect the diversity of the community in which we operate. We are proud to be recognised as an inclusive employer for 2021-22 by the Diversity Council of Australia. Whatever your background or however you identify, please apply if this is a role that would make you excited to come into work every day.

Please email recruitment@synergy.net.au if you require assistance with submitting your application

Synergy reserves the right to close applications when a suitable pool of candidates is identified