CHEP helps move more goods to more people, in more places than any other organization on earth via our 347 million pallets, crates and containers. We employ approximately 13,000 people and operate in 60 countries. Through our pioneering and sustainable share-and-reuse business model, the world’s biggest brands trust us to help them transport their goods more efficiently, safely and with less environmental impact. What does that mean for you? You’ll join an international organization big enough to take you anywhere, and small enough to get you there sooner. You’ll help change how goods get to market and contribute to global sustainability. You’ll be empowered to bring your authentic self to work and be surrounded by diverse and driven professionals. And you can maximize your work-life balance and flexibility through our Hybrid Work Model . Job Description Key Responsibilities May Include: 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. QUALIFICATIONS • Technology related degree and/or a minimum of 3 years working experience in a similar role. EXPERIENCE • Previous data science experience applying advanced algorithms to address practical problems. • Advanced hands-on experience in Python data libraries. • Proven track record in developing machine learning models (time series, clustering, regression analysis, deep learning). • SQL experience (Ability to read/write complex SQL queries). • Worked with measures and KPIs. • Working on remote teams. • Proved experience with Project Management (manage priorities, standardization, automation, troubleshooting and long-term planning). • Experience with process automation and workload reduction. • Experience implementing data new solutions from scratch. • Experience with software development (applied to data science). • Experience with NLP and computer vision is a bonus. • Proficient using Microsoft tools: Excel, Access, Word, Power Point, Visio. SKILLS AND KNOWLEDGE • Coding tools and Machine Learning. • Data management and statistical analysis. • Business mindset. • Strong analytic skills. • Customer oriented. • Strong communication skills. • Flexible and able to work under pressure. • Diplomatic and sensitive when serving customers of a different mentality and culture. • Ability to work autonomously. • Ability to work with remote teams. Remote Type Hybrid Remote Skills to succeed in the role Adaptability, Bitbucket, Cloud Infrastructure (Aws), Code Reviews, Databricks Platform, Data Science, Data Storytelling, Empathy, Experimentation, Git, Machine Learning (ML), Python (Programming Language), SQL Tools, Taking Ownership, Teamwork, Understand Customers We are an Equal Opportunity Employer, and we are committed to developing a diverse workforce in which everyone is treated fairly, with respect, and has the opportunity to contribute to business success while realizing his or her potential. This means harnessing the unique skills and experience that each individual brings and we do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state, or local protected class. Individuals fraudulently misrepresenting themselves as Brambles or CHEP representatives have scheduled interviews and offered fraudulent employment opportunities with the intent to commit identity theft or solicit money. Brambles and CHEP never conduct interviews via online chat or request money as a term of employment. If you have a question as to the legitimacy of an interview or job offer, please contact us at recruitment@brambles.com.

• Drive NLP and machine learning projects • Responsible for developing methodology and solutions to support technical, analytical, and operational requirements • Apply knowledge in NLP and Machine learning, Computer programming, and Computer analytics architecture • Work collaboratively in a multi-disciplinary team environment and establish and maintain professional networks with subject matter experts • Work as a direct contributor and key technical advisor to define the roadmap of projects

• Design, code and test AI agents that support autonomous decision-making in marketing campaigns, customer acquisition, and portfolio optimization. • Apply hands-on coding knowledge to create agentic AI techniques to solve complex business problems in consumer lending. • Conduct exploratory data analysis and develop predictive models using credit bureau data and other consumer datasets. • Prototype and improve on intelligent agent behaviors using Python, Spark and modern agentic frameworks. • Support the deployment and monitoring of AI models in production environments, ensuring performance, reliability and compliance. • Collaborate with company partners to translate our requirements into scalable AI solutions. • Contribute to the development of new analytical products and services that enhance marketing effectiveness and customer engagement.

We're looking for a senior leader to own our data function and AI infrastructure. As our first Head of Data & AI Enablement, you'll define and execute the company's data strategy from the ground up — and critically, you'll need to build organizational buy-in for that strategy and drive it to measurable outcomes. You'll own data engineering, pipeline architecture, analytics, and the data layer that feeds our AI and reporting products. Our engineering team currently owns AI infrastructure and feature development — this role ensures they have the clean, reliable, well-structured data foundation to do that effectively. This is a player-coach role at a growth-stage company. You'll set the vision and roadmap, but you'll also roll up your sleeves early on. A key challenge of this role is balancing the day-to-day demands — data quality issues, stakeholder requests, system syncs — with execution on a longer-term data roadmap. We need someone who won't let firefighting crowd out the strategic work. This role sits at the intersection of data, business strategy, and AI. You'll work closely with Dan and the leadership team to ensure our data platform powers both internal decision-making and the products our engineering team is building for customers. You'll serve as a critical bridge between the business side and the data engineering function — translating business needs into data requirements, and ensuring data work is always grounded in business context and value. On AI specifically, you'll be a key voice in shaping our approach — bringing experience with LLMs and AI agents to the table — but you won't be doing it alone. How we adopt and operationalize AI tooling is something the company is actively figuring out, and this role will help shape that alongside engineering and product leadership.