Intern, Data Analysis applied to geophysical and geotechnical investigations

EQUANS; Sydney; In loco; AUD 32.000 - 52.000; Part-time

Descrizione del lavoro

EQUANS is seeking an Intern in Data Analysis to support its Solar & Storage Innovations team in Australia, focusing on geotechnical data analytics and ML model development for piling risk assessment. You’ll work closely with the Civil team in Sydney on data from boreholes, surveys and installation records.

Ideal candidates are undergraduates in data science or related fields, with Python proficiency and interest in geotechnical engineering or geophysics.

Competenze

• Undergraduate in Data Science/AI/CS or similar.
• Has preferably undertaken modules or has experience with geotechnical engineering, geophysics, and/or civil engineering.
• Proficient in Python and common data science libraries

Mansioni

• Develop, refine and validate data analytics and machine learning models to identify ground conditions associated with piling refusal on Equans current and future solar and storage projects.
• Consolidate and manage large datasets from intrusive investigations (e.g. boreholes, test pits), non-intrusive investigations (e.g. geophysical surveys), and piling installation records.
• Build predictive models and data visualization tools to improve ground risk assessment, project budgeting and construction planning.
• Continue and enhance an existing preliminary model previously developed by Equans in France, adapting it to Australian ground conditions and project requirements.
• Collaborate with engineering, construction and innovation teams to translate technical findings into practical recommendations for project development and delivery.
• Prepare technical reports, presentations and documentation to communicate methodologies, assumptions and key findings to internal stakeholders.
• Liaise with consultants, performing technical analysis of consultants proposals, attend site visits/occasional travels to site

Conoscenze

Python

Data Science

Geotechnical Eng exposure

Formazione

Undergraduate in Data Science/AI/CS

Descrizione del lavoro

Intern, Data Analysis applied to geophysical and geotechnical investigations

Equans Solar & Storage will imminently launch its Lightspeed Solar Portfolio (LSP) program, a utility-scale testbed environment to trial and deploy innovation projects that help to lower the cost of constructing and operating large-scale solar and storage projects. LSP will be part of ARENA’s Advancing Renewables Program, contributing to ARENA’s goals to reduce LCOE of renewables technologies in Australia.

The team you’ll be joining

Our Australian team consists of approximately 50 highly skilled engineers, and it is expanding rapidly due to the growth of large-scale hybrid projects.

You will be a part of our growing Innovations team tasked with the implementation of our LSP program, specifically in the Digital and Construction workstreams.

Want to learn more about our projects? :

Solar & Storage Solutions for Energy Efficiency | Equans

What you’ll be leading

You’ll report to the Innovation leader, our key person in Australia managing the LSP program, and will be working closely with our Civil team based in Sydney.

Your rôle and responsibilities:

• Primary role: Develop, refine and validate data analytics and machine learning models to identify ground conditions associated with piling refusal on Equans current and future solar and storage projects.
• Consolidate and manage large datasets from intrusive investigations (e.g. boreholes, test pits), non-intrusive investigations (e.g. geophysical surveys), and piling installation records.
• Build predictive models and data visualization tools to improve ground risk assessment, project budgeting and construction planning.
• Continue and enhance an existing preliminary model previously developed by Equans in France, adapting it to Australian ground conditions and project requirements.
• Collaborate with engineering, construction and innovation teams to translate technical findings into practical recommendations for project development and delivery.
• Prepare technical reports, presentations and documentation to communicate methodologies, assumptions and key findings to internal stakeholders.
• Liaise with consultants, performing technical analysis of consultants proposals, attend site visits/occasional travels to site

The profile we’re looking for

• Undergraduate in Data Science/AI/Computer Science or similar;
• Has preferably undertaken modules or has experience with geotechnical engineering, geophysics, and/or civil engineering;
• Proficient in Python and common data science libraries
• Proactive, innovative, independent and curious