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 skilled Data Scientist to support our Managed Services Provider (MSP) engagement within the Defence sector in Melbourne. 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 ASLAVInform Condition Based Maintenance (CBM) analysis and generate predictive maintenance insightsIntegrate HUMS outputs with Defence systems like MILIS (Military Integrated Logistics Information System) / ERPConduct 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 profilesCollaborate with OEMs and Defence stakeholders to refine HUMS configurations and data strategiesSupport trials and exercises with real-time data interpretationProvide input to specifications and policies from data insights

As the ideal candidate you will bring:

Degree in Data Science, Engineering, Information Systems, or related fieldExperience with sensor data, CANBUS, and vehicle diagnosticsProficiency in tools like Python, MATLAB, or Power BIFamiliarity with Defence logistics systems and CBM frameworksStrong analytical and problem-solving skillsAbility to work in multidisciplinary teams across Defence and industryRelevant 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.