Title:
Data Scientist
At KBR – We do things that matter.
We deliver science, technology and engineering solutions to governments and companies around the world. KBR employs approximately 38,000 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.
Think.KBR.com
KBR in Australia
With over 65 years working on some of Australia’s largest and most complex projects, KBR has unmatched experience supporting the nation’s critical infrastructure, energy transition and national security priorities. KBR has around 2,000 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 team’s 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 you’re ready to shape tomorrow, let’s 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.
#J-18808-Ljbffr
