Data Scientist / Senior Data Scientist (Grid Insights)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Data Scientist / Senior Data Scientist (Grid Insights) at Gridsight design and develop software and data science products for electricity utilities. You will build models to detect, characterize, or predict grid components and events, acquire diverse data sources, collaborate with software/data engineers, and implement MLOps practices to deliver data products that support grid optimisation, renewables integration, and grid flexibility.

Location: Canberra

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Design, build, and maintain software products and data science models capable of detecting, characterising or predicting key components, properties and events of electricity grids.
•Obtain data from disparate sources to inform and support modelling, by performing data discovery and/or developing automated retrieval pipelines as needed
•Ensure software and model capabilities, coverage and performance align with customer requirements, directly engaging with customers from time to time in order to do so
•Collaborate with Software Engineers, Data Engineers, and other Product teams to understand data science requirements and translate them into technical solutions
•Establish and follow data, scientific, MLOps and software engineering best practices including testing, validation, documentation, monitoring, version control and code reviews

Key Requirements

•3+ years in data science roles with demonstrable impact
•Proficiency in Python or similar language, architecture, system design, version control, testing practices, code review, CI/CD
•Experience developing, training, testing and validating machine learning models, and deploying them to production
•Experience with Bayesian methods (parameter estimation, hierarchical modelling, sampling) and Monte Carlo methods
•Experience in energy, utilities, or IoT/sensor data domains and building data products for customer consumption

Experience:3+ yearsEnergyUtilitiesIoTGridSaaS

Skills:CommunicationProblem-solvingTeam collaborationData storytellingDocumentation

Tech Stack:PythonBayesian methodsMonte CarloCI/CDData pipelinesMLOps

Company Brief

Gridsight

Develops AI-powered inspection and analytics for electricity networks using aerial imagery and computer vision to detect defects, prioritize repairs, and improve grid reliability for utilities and asset managers.

Industry: Utilities

Website

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Gridsight

1 month ago

Data Scientist / Senior Data Scientist (Grid Insights)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Location: Canberra

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Design, build, and maintain software products and data science models capable of detecting, characterising or predicting key components, properties and events of electricity grids.
•Obtain data from disparate sources to inform and support modelling, by performing data discovery and/or developing automated retrieval pipelines as needed
•Ensure software and model capabilities, coverage and performance align with customer requirements, directly engaging with customers from time to time in order to do so
•Collaborate with Software Engineers, Data Engineers, and other Product teams to understand data science requirements and translate them into technical solutions
•Establish and follow data, scientific, MLOps and software engineering best practices including testing, validation, documentation, monitoring, version control and code reviews

Key Requirements

•3+ years in data science roles with demonstrable impact
•Proficiency in Python or similar language, architecture, system design, version control, testing practices, code review, CI/CD
•Experience developing, training, testing and validating machine learning models, and deploying them to production
•Experience with Bayesian methods (parameter estimation, hierarchical modelling, sampling) and Monte Carlo methods
•Experience in energy, utilities, or IoT/sensor data domains and building data products for customer consumption

Experience:3+ yearsEnergyUtilitiesIoTGridSaaS

Skills:CommunicationProblem-solvingTeam collaborationData storytellingDocumentation

Tech Stack:PythonBayesian methodsMonte CarloCI/CDData pipelinesMLOps

Company Brief

Gridsight

Industry: Utilities

Website