Data Scientist

In Schneider Electric, everything we do is geared towards advancing progress and sustainability for all—our colleagues, customers, partners, and the communities and societies we serve.

Whether it's through our products, software, and services that propel the digital transformation of energy management and automation, or through our corporate citizenship and volunteer activities, we make a meaningful impact by empowering people and organizations to become more resilient, electric, and digital.

Which is where you come in. Working at Schneider Electric means working toward a cleaner, better world. You're part of a global team built on inclusion, mastery, purpose, action, curiosity, and teamwork, turning sustainability ambitions into actions.

The Role: Data Scientist

We are seeking a Data Scientist to partner with our Global Supply Chain teams to improve operational and planning decisions through forecasting, optimisation, predictive analytics, and automation.

In this role, you will develop and deploy data science solutions across demand planning, supply planning, inventory, and related functions. Working closely with business stakeholders, you will take solutions from concept to production, ensuring they are effectively embedded into operational workflows and continuously improved.

Based in Macquarie Park, Sydney, with opportunities for candidates in Adelaide, Brisbane, or Auckland, this is an exciting opportunity to apply advanced analytics to complex supply chain challenges and deliver measurable business outcomes.

What will you do?

• Partner with Global Supply Chain stakeholders to identify opportunities to improve, support, or responsibly automate decisions, processes, and existing models.
• Translate business challenges into practical analytical solutions that deliver measurable outcomes.
• Design and develop forecasting, optimisation, predictive, and prescriptive analytics solutions.
• Own the end-to-end data science lifecycle, from exploration and development through to validation, productionisation, monitoring, and continuous improvement.
• Deploy solutions using governed enterprise infrastructure and integrate them into operational workflows.
• Evaluate solution performance, adoption, and business impact, ensuring ongoing value creation.
• Explore opportunities to leverage AI-enabled reporting, automated insights, and decision-support capabilities.

Key Responsibilities

• Collaborate with Data Architecture and Platform teams to productionise solutions using enterprise AWS infrastructure and established technical standards.
• Monitor, maintain, and enhance deployed models and analytical solutions.
• Document model methodologies, assumptions, limitations, dependencies, and operational requirements.
• Communicate findings, risks, recommendations, and limitations clearly to both technical and non-technical audiences.
• Contribute to use-case prioritisation, backlog refinement, and the continuous evolution of technical ways of working.
• Support communities of practice by promoting technical capability building and improving data literacy across Global Supply Chain and the broader Data community.
• Ensure analytical solutions are reliable, scalable, transparent, and aligned to business objectives.

What qualifications will make you successful?

Essential Skills & Experience

• Strong technical proficiency in Python and SQL.
• Experience developing forecasting, optimisation, and machine learning solutions.
• Strong understanding of statistics, model evaluation techniques, and validation methodologies.
• Understanding of software development best practices, including testing, version control, reproducibility, model monitoring, and maintenance.
• Proven experience taking analytical or machine learning solutions from development through to production deployment.
• Strong stakeholder engagement, communication, and collaboration skills, with the ability to translate business requirements into practical solutions.
• Ability to clearly communicate model outputs, uncertainty, limitations, and trade-offs to non-technical stakeholders.
• Ability to use AI-assisted tools responsibly while independently evaluating outputs, risks, and suitability.

Desirable

• Understanding of AWS tools and infrastructure or similar enterprise data and analytics platforms.
• Experience with dbt, Airflow, or equivalent data transformation and workflow orchestration tools.
• Familiarity with CI/CD practices and Machine Learning Operations (MLOps).
• Postgraduate qualification in Data Science, Statistics, Economics, or a related discipline.
• Experience within demand planning, supply planning, inventory optimisation, logistics, or other Supply Chain functions.

What’s in it for me?

• Global Family Leave
• Comprehensive medical coverage for employee and dependents
• Worldwide Employee Stock Ownership
• Hybrid work arrangement (New Ways of Working)
• …and more!

#LI-VM7

Apply Now! Don’t feel like you need to tick every box – we would love to hear from you.

All applicants must have working rights in Australia at the time of application and will be required to provide documented evidence if selected for Interview.

Rewards designed for you

Our Total Rewards is our way of saying: We see you and we value you. It’s more than just pay and benefits—it’s a meaningful investment in you. It is designed to help you perform, grow, feel safe, and elevate your potential. The package helps you care for yourself and your family, plan your future, grow your skills and career, collaborate in an inclusive workplace, and contribute to your community. At Schneider Electric, we’re here for what matters most to you. Discover more at our Career Page.

* Country-specific programs and initiatives may be available.

Looking to make an IMPACT with your career?

When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values – Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork – starts with us.

IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world.

We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one.

Become an IMPACT Maker with Schneider Electric – apply today!

€40 billion global revenue +9% organic growth 150 000+ employees in 100+ countries

You must submit an online application to be considered for any position with us. This position will be posted until filled.

Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and ‘inclusion’ is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do.

At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more about our Trust Charter here

Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.