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Role : Data Scientist
Reporting to: Head of Modelling and Forecasting
Location: Australia
About GridBeyond
GridBeyond is a cutting-edge, scale-up company with a start-up mindset which innovates in the energy industry headquartered in Dublin, IRL with offices in Cork, IRL, London, UK, Australia Japan and Austin, USA. We are currently looking for a Data Scientist for Australia location.
Using Artificial Intelligence, machine learning, and advanced data modelling, GridBeyond provides Intelligent Energy-As-A-Service to tackle the challenges businesses face as they move towards a Net Zero carbon future. Our multi-award-winning AI “Point” Platform allows businesses to control demand response participation, energy performance, markets and costs.
We are already the leaders in the UK & Ireland and are now entering new markets, expanding our geographic footprint. Our foundations are strong. On-going investment in development and innovation are cornerstones of our business. It’s what sets us apart.
This is an exciting opportunity to be part of the revolution to address today’s energy challenges. You have the chance to join a growing team, leading the Smart Energy sector. An ability to work autonomously and to think creatively is therefore required to tackle new challenges and to support long term, sustainable growth.
Role
We are seeking a Data scientist to join our growing IT Team. This candidate will work in an agile development environment and will play a leadership role in a team to build Data and Analytics solutions for energy balancing and trading markets. The solution will combine data from energy markets and IOT sensors from Grid Beyond’s install base to deliver smart energy optimization recommendations as well as energy trading strategies. The solution will work with Grid Beyond’s industry leading control platform to communicate, monitor and orchestrate the implementation of recommended load profiles.
Similar to financial portfolio management the solution will have a dynamic component which will make real time decisions to move energy assets between different market opportunities to maximize financial return.
The solution will be developed using Azure’s Cloud services and the candidate should have hands on experience of using Azure or other cloud services for developing data analytics solutions. Ideally the candidate would have gone through the whole development life cycle from design to implementation to production on Azure/AWS during his previous projects.
What are we looking for
Main Responsibilities :
- Design data solutions using latest services from Azure eco-system. Present various design choices, trade offs and lead the team through picking the right technology choices.
- Exploit industry best practices and your experience to create a data platform to enable business growth.
- Liaise with internal and external stakeholders to collect and document technical requirements, translate them into solution design and lead a cross functional team to deliver a production ready analytics solution.
- Contribute ideas to help ensure that required standards and processes are in place and actively look for opportunities to enhance and innovate solutions and improve process efficiency.
- Apply data visualization tools and implement dashboard solutions that are customer focused and help drive product design decisions
- Leverage expertise to develop and lead new data analytics technologies for product development, providing new growth opportunities in addition to supporting existing products and businesses
- Excellent communication, presentation, and team leadership skills.
- File patent applications, publish, and present at conferences. Collaborate with external research teams to build capabilities and applications to solve emerging challenges
Required Experience and Skills
- Azure/AWS Experience (3+ years) applied to delivering a data driven analytics solution.
- Azure/AWS Data Certification a plus
- Data Science and Analytics experience including team leadership
- Machine Learning (Neural Networks, Decision Trees, etc.)
- Deep learning libraries such as Keras, Tensorflow, Theano, or Pytorch
- SQL and relational database concepts
- Distributed computing platforms such as Spark
- Experience working with Data Warehouse, Data Lake and Cloud AI to deliver a customer facing analytics solution
- Experience of working with Big Data stack including real time streaming using Spark/DataBricks or similar technologies to meet tight time budgets.
- Python/R programming for Data Science and Data Engineering.
- Experience of working with Power BI, Tableau or similar for designing internal and external dashboards and data analyses.
- Proven ability to translate complex business requirements into design of end-to-end data systems
- Strong scientific and technical acumen, with demonstrated interest and ability to make connections between science/technology and real-world concerns
- Ability to deal with the ambiguity of early-stage scouting and evaluation of new opportunities and the flexibility to change direction as additional information becomes available
- Leadership qualities such as excellent communication skills (oral, written and presentation), networking skills, self-motivation, and self-direction.
- Previous experience working in financial, or trading market will be plus.
- Previous experience working in energy sector will be a plus.
Technologies
- Technologies: Data Science, Data Integration, Orchestration, Data Warehouse, Data Lake
- Core Programming languages: Python, R, T-SQL, Power BI DAX
What you will have
- A minimum of a third level degree in Maths, Physics, Engineering, Computer Sciences or a related discipline
- Commercial experience in designing mission critical data intensive analytics solutions.
- Experience in handling large and complex datasets using multiple programming languages (T-SQL, Python, R etc.) is essential
- Experience analysing multiple business domains and translating them to production ready data/analytics solutions
- Experience of using machine learning, data visualisation, and artificial intelligence techniques.
Company Vision & Mission
Our vision is to build a shared energy economy that delivers sustainability, resilience, affordability and adaptability through collaboration.
A smart, flexible system that makes the best use of all the energy sources available will enable us to meet our customers’ needs in a balanced, efficient and economical way.
Our mission is to enable grid operators to integrate intermittent energy sources such as wind and solar by giving agility to the ageing power grid.
GridBeyond is an equal opportunities employer
Benefits / Perks
- Salary: Competitive
- Benefits such as –
- 23 days Annual leave increasing to 25 days with service
- Educational Assistance after six months service
- Duration: Indefinite duration
- Type: Full time
- Flexible working hours and environment
- Opportunities for professional growth and career development
- Collaborative and innovative work environment
- Employee Referrals Bonuses
- Work/Life Balance
If you are passionate and want to join the fast-paced energy market as part of our growing team, we'd like to connect with you!!
