Senior Data Scientist

By combining state-of-the-art data science techniques, cutting-edge Internet of Things (IoT) technologies, and Software as a Service, we enable a more connected, intelligent and efficient supply chain. We're creating value from massive, connected data. Our unmatched insights illuminate more than 300,000 supply chains, more than a million customers and partners, and over 300 million physical assets that are constantly on the move around the world.

CHEP is a Brambles / BXB Digital company, the global leader in supply chain logistic solutions operating through the CHEP brand. Brambles Limited is listed on the Australian Securities Exchange (ASX) and has its headquarters in Sydney, Australia. Operating in more than 60 countries, with its largest operations in North America and Western Europe, we employ more than 14,500 people and owns over 550 million pallets, crates and containers through a network of approximately 850 service centres.

SENIOR DATA SCIENTIST

POSITION PURPOSE

Our Asset Productivity team is actively seeking a Data Scientist to assist with continued development and implementation of models that can help us optimize the use of our assets (reduce losses, undercover patterns and anticipate issues).

The data scientist will work on the development and automation of tools leveraging cutting edge analytics and agentic techniques in partnership with different functions across Brambles.

This person will be working with large sets of structured and unstructured data (internal and external) to perform analysis, develop models and provide actionable insights ensuring high quality results aligned with maintaining internal service levels.

SCOPE

• Global

MAJOR / KEY ACCOUNTABILITIES

• Learn about current data available and propose new data sources to current situation.

• Create optimization models based on business drivers to support Asset Control strategy.

• Responsible for developing tools aimed to proactively monitor the external variables that can affect our business in order to prepare and react better/quicker.

• Evaluate how to use data to extract key trends, predict key indicators and identify business opportunities/risks. Merge this information with CHEP specific business knowledge and develop actionable business insights in line with regional strategy.

• Implement agentic workflows to enhance current capabilities of Asset Productivity tools

• Support improvement initiatives & projects.

• Work closely with all internal stakeholders.

• Ensure best practices implementation in order to improve service to business stakeholders.

• Propose enhancements on new/current processes (standardization, usability, workload).

• Automate tools in order to provide outputs in a timely manner.

MEASURES

• Ensure accuracy on predictions algorithms.

• Ensure solutions created are aligned with Asset Control strategy.

• Ensure solutions are delivered on a timely manner.

• Internal customers satisfaction.

• Develop solutions in a scalable way, standard and automated.

• Develop processes to efficiently manage data.

KEY CONTACTS

Internal: Regional Audit teams, Asset Control

QUALIFICATIONS

• Technology related degree and/or a minimum of 5 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 (Pandas, Scikit-Learn, Tensorflow).

• Proven track record in developing machine learning models (time series, clustering, and regression analysis).

• Experience with LLMs and Agentic workflows

• 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 change management.

• Experience with software development (applied to data science).

• Experience with NLP and computer vision is a bonus.

• Proficient using Microsoft tools: Excel, Word, Power Point.

SKILLS AND KNOWLEDGE

• Coding tools and Machine Learning.

• Data management and statistical analysis.

• GenAI and Agentic workflows

• 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 and ability to work with remote teams.

LANGUAGES

Essential: English

Desirable: Spanish

The salary range for this position is 765,920 to 1,148,880 / 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.