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Data Scientist
Mcnab
Building contractor delivering complex and high-quality construction projects across sectors.
Early-career data scientist role focusing on data analysis, modeling, visualisation.
6d ago
Junior (1-3 years), Intermediate (4-7 years)
Full Time
Brisbane, Queensland, Australia
Office Full-Time
Company Size
300 Employees
Service Specialisms
Construction services
Project Management
Engineering
Design
General Contractor
Sector Specialisms
Industrial
Commercial
Residential
Aged care
Retail
Education
Food & processing
Health & pharma
Role
What you would be doing
data visualisation
dashboards
predictive modelling
statistical analysis
data collection
data integrity
Design and deliver clear data visualisations, dashboards, and reports for a range of stakeholders.
Present findings and recommendations in a clear, concise, and actionable manner to technical and non-technical audiences.
Develop predictive models, statistical analyses, and machine learning solutions to support business objectives.
Collaborate with engineers, analysts, and business teams to implement practical, data-led solutions.
Collect, clean, and analyse data from multiple internal and external sources.
Ensure data integrity, accuracy, and consistency across all analytics projects.
What you bring
python
sql
docker
git
azure
master’s
Solid understanding of Bayesian statistics, machine learning concepts, and model evaluation techniques.
Proficiency in SQL and data management.
Knowledge of Docker or containerisation technologies.
A Master’s degree in Data Science, Data Analytics, or a related discipline — or equivalent experience.
Experience using Git for version control.
Strong data visualisation skills and experience presenting insights through dashboards and reports.
Strong programming skills in Python, including hands-on experience with libraries such as pandas, scikit-learn, and other core data tools.
Confidence in presenting findings to senior management and collaborating effectively across teams.
Excellent communication skills, with the ability to explain technical topics to non-technical stakeholders and build strong cross-functional relationships.
Familiarity with LLM APIs and their applications.
Understanding of the end-to-end data science lifecycle, including model deployment and CI/CD.
Understanding of A/B testing principles and experimental design.
Experience with API development and Snowflake.
Cloud experience, ideally with Microsoft Azure.
Benefits
Parental leave program.
Annual health and fitness subsidy.
Access to the Employee Assistance Program.
Internal development opportunities through tailored training programs.
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