Data Scientist
Data Scientist
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Job Description
Title:
Data ScientistAt KBR We do things that matter.
We deliver science technology and engineering solutions to governments and companies around the world. KBR employs approximately 38000 people worldwide with customers in more than 80 countries and operations in over 29 countries.
KBR is proud to work with its customers across the globe to provide technology value-added services and long-term operations and maintenance services to ensure consistent delivery with predictable results. At KBR We Deliver.
KBR in Australia
With over 65 years working on some of Australias largest and most complex projects KBR has unmatched experience supporting the nations critical infrastructure energy transition and national security priorities. KBR has around 2000 employees throughout Australia who are focused on delivering innovative technology and engineering solutions for a safer more secure and sustainable future.
Learn more about KBR in Australia
Belong Connect and Grow at KBR
At KBR we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to and ongoing journey toward being a People First company. That commitment is central to our team of teams philosophy and fosters an environment where everyone can Belong Connect and Grow. We Deliver Together.
The Opportunity:
We are seeking a skilledData Scientistto support our Managed Services Provider (MSP) engagement within the Defence sector inMelbourne. This critical role involves working across complex multi-domain systems ensuring successful integration interoperability and performance within a broader enterprise or mission system. You will play a pivotal part in bridging capability gaps across multiple stakeholder environments.
Responsibilities:
- Collect and process HUMS data from platforms such as M113AS4 Bushmaster PMV and ASLAV
- Inform Condition Based Maintenance (CBM) analysis and generate predictive maintenance insights
- Integrate HUMS outputs with Defence systems like MILIS (Military Integrated Logistics Information System) / ERP
- Conduct forensic analysis of incidents using high-resolution sensor data (e.g. GPS engine torque battery health)
- Develop dashboards and visualisations for operational statistics and mission profiles
- Collaborate with OEMs and Defence stakeholders to refine HUMS configurations and data strategies
- Support trials and exercises with real-time data interpretation
- Provide input to specifications and policies from data insights
As the ideal candidate you will bring:
- Degree in Data Science Engineering Information Systems or related field
- Experience with sensor data CANBUS and vehicle diagnostics
- Proficiency in tools like Python MATLAB or Power BI
- Familiarity with Defence logistics systems and CBM frameworks
- Strong analytical and problem-solving skills
- Ability to work in multidisciplinary teams across Defence and industry
- Relevant degree in Systems Engineering Electrical/Electronic Engineering Computer Science or related discipline.
- Ability to work under ITAR restrictions if required.
All candidates will be required to hold and maintain an active NV1 Defence Security Clearance. Only candidates holding a NV1 Clearance or above should apply.
What we will offer you:
A workplace culture certified as a Great Place To Work
Flexible working
Competitive salary (including annual reviews)
Paid parental leave
Income protection
Corporate rewards
Salary packaging/Novated leasing
Employee stock purchase plans
Flu shots skin checks and discounted private health insurance
Career development: Online learning mentorship and career pathways
If youre ready to shape tomorrow lets get started. Apply Now!
As a Major Service Provider of the Australian Defence Force an AGSVA security clearance will be required and compliance to International Traffic in Arms Regulations (ITAR). As such our hiring decisions are based on the key requirements of each role and candidates are selected based on their unique strengths and experiences.
Employment Type
Full-Time
