Brambles companies, including CHEP and BXB Digital, help move more goods to more people, in more places than any other organisation on earth. Our 350+ million pallets, crates and containers are continuously in motion, forming the invisible backbone of the global supply chain and the world’s biggest brands trust us to help them transport their goods more efficiently, sustainably, and safely. We want to ensure we play our part in stopping climate change.

As pioneers of the sharing economy, Brambles created one of the world's most sustainable logistics businesses through the share and reuse of its platforms. To enable us to do this, we need to digitize what we do.

Moving so many pallets to so many customers generates a lot of data – over 2 billion rows and counting. We need to utilize modern methods to capture and analyse data, ensuring that we can track where our pallets are, what they’re being used for and ensuring they return to the pool to be reused in the future. We need to ensure what we build not only works for the now, but for the future as well.

SENIOR DATA SCIENTIST

THE ROLE

We're looking for a Senior Data Scientist to develop and deploy data-driven solutions that solve complex business challenges. You’ll be responsible for building robust machine learning models, designing rigorous experiments, and helping integrate AI-driven insights into our operations. This role blends deep technical expertise with strong problem-solving skills and the ability to write clean, production-ready code that scales.

You’ll work closely with data engineers, product managers, and business leaders to ensure our models are impactful and practical. Along the way, you’ll contribute to shaping the future of data science at Brambles by mentoring junior team members and driving best practices in experimentation, model deployment, and software development.

ABOUT THE ROLE

Develop and apply advanced data-driven solutions using machine learning and statistical models to address complex business challenges.

Build trust and drive the adoption of data science solutions by communicating insights and technical solutions to stakeholders in a clear and actionable way.

Shapes project collaborations across teams, providing mentorship, and driving capability development across the Data Science team

KEY RESPONSIBILITIES

• Collaborate with key stakeholders to identify business challenges, translating ambiguous problems into structured analyses using statistical modelling and machine learning algorithms.

• Lead the selection, validation, and optimization of models to discover meaningful patterns and insights, ensuring models remain relevant, reliable, and scalable.

• Drive continuous integration and deployment of data science solutions, optimizing performance through advanced machine learning techniques, code reviews, and best practices.

'Develop and deliver sophisticated visualizations, dashboards, and reports translate complex data into clear, actionable insights for business stakeholders.

• Present technical solutions to business stakeholders, using creative methods to explain complex concepts, increase understanding, and encourage solution adoption.

• Mentor and develop junior data scientists, fostering a culture of continuous learning, knowledge sharing, and skills development within the organization.

• Write clean, high-quality code, ensuring all outputs pass quality assurance checks, and contribute to the development of novel solutions to solve complex business problems.

• Stay informed on industry trends, emerging tools, and techniques, applying them to improve data science practices and encourage innovation within the team.

• Lead strategy development for one or more data products, managing roadmaps, identifying requirements, and collaborating with business stakeholders to ensure alignment with business goals.

WHAT YOU'LL DO

Machine Learning & Advanced Analytics

• Build and deploy machine learning models that drive measurable business value.

• Own the end-to-end model development lifecycle, from data exploration to deployment and monitoring.

• Ensure models are robust, explainable, and scalable, improving performance over time.

• Apply supervised and unsupervised learning techniques, forecasting methods, and optimization algorithms to solve business problems.

Experimentation & A/B Testing

• Design and execute A/B tests and other experimental methodologies to validate solutions.

• Use statistical techniques to measure impact and ensure rigor in decision-making.

• Communicate findings clearly, helping teams make data-driven choices based on solid evidence.

Software Development & Deployment

• Write high-quality, maintainable code in Python and SQL, following software engineering best practices.

• Work within an enterprise-grade software environment, using tools like Git, CI/CD,

• Bitbucket, and automated testing.

• Deploy and monitor models in cloud-based production environments (Databricks), ensuring performance and reliability.

• Utilize MLOps tools (MLFlow, etc.) to track, version, and improve model performance over time.

Model Ideation & Business Integration

• Work with stakeholders across the business to identify opportunities for data science solutions.

• Drive new model use case development, ensuring technical feasibility and business impact.

• Collaborate with data engineers and product teams to integrate models into decision-making workflows.

Leadership & Mentorship

• Provide technical guidance and mentorship to junior data scientists.

• Champion best practices in machine learning, experimentation, and software development.

• Stay up to date with emerging technologies and methodologies, bringing new ideas into the team.

WHAT WE’RE LOOKING FOR

• Master’s degree in a STEM field (Computer Science, Data Science, Engineering, Mathematics, etc.) preferred.

• 5+ years of experience in applied data science (minimum 3 years for highly qualified candidates).

• Strong programming skills in Python and SQL, with experience in Pandas, Scikit-learn, PySpark

• Experience developing machine learning models and identifying value-driving use cases that align with business needs.

• Solid understanding of A/B testing and experimental design.

• Experience in enterprise-grade software development, including version control (Git), CI/CD, modular code design, and testing frameworks.

• Hands-on experience with cloud platforms (AWS, Databricks) and MLOps tools (MLFlow, Bitbucket, CI/CD).

• Ability to communicate complex technical concepts to both technical and non-technical audiences.

• A problem-solver who enjoys working independently but also thrives in a collaborative team environment.

WHY JOIN?

• Be part of a team that’s using cutting-edge AI and machine learning to optimize global supply chains.

• Competitive compensation, flexible work environment, and strong professional development support.

• Work in a collaborative, innovation-driven environment where your ideas make a real impact.

• Grow your career with learning and development opportunities, plus the chance to shape how data science is done at Brambles.

The salary range for this position is $94,000 to $130,000 / year. Salary ranges provided take into account a wide variety of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications, geographic differentials and other business and organizational needs. Therefore, actual amounts offered may be higher or lower than the range provided. If you have questions, please speak to your Talent Acquisition Partner about the flexibility and detail of our compensation philosophy.” Dependent on the position offered, other forms of compensation may be part of a total offering beyond medical & retirement benefits and may include other monetary incentives or business benefits.