Lead Data Scientist

Vor 6 Tagen


City of Brisbane, Österreich Shell Energy Australia Vollzeit

Lead Data Scientist @ Shell Energy Lead the change, from the frontline We’re looking for a forward-thinking Lead Data Scientist to play a pivotal role in shaping how advanced analytics, ML and AI are embedded across our energy business. In this influential role, you’ll lead a team of data experts, champion innovation, and deliver analytics solutions that improve profitability, drive sustainable customer growth, and improve operational efficiency. As the lead of our Data Science function, you’ll balance the development of cutting‑edge data products with the delivery of high‑value, insight‑driven solutions that help our customers stay competitive. You’ll foster a culture of curiosity, continuous learning and technical excellence, while driving automation, standardisation and best‑practice uplift across the business. If you’re passionate about using data to solve complex problems and want to make a real impact across the energy sector, this is your opportunity to lead at scale. With respect, integrity and honesty, responsibilities include: Lead end‑to‑end delivery of advanced analytics and data‑science initiatives from concept to deployment, ensuring alignment to Shell Energy’s strategic objectives. Develop and deliver the technology roadmap, prioritising investment and ensuring solutions add value across operations, commercial, and customer environments. Engage stakeholders across the business, including Product, Data, Executive and Design teams, to identify problems and shape innovative, data‑driven solutions. Manage, coach and develop your team, fostering a culture of continuous learning, high performance and modern engineering practices. Ensure compliance and risk management, including adherence to standards, data‑privacy regulations, security controls and best‑practice governance. Oversee vendor relationships, budgets and contract negotiations, ensuring quality delivery and alignment with organisational goals. Here’s what you’ll need to thrive in this role: Deep expertise across the data science lifecycle, including problem framing, modelling, deployment, monitoring and continuous improvement, supported by strong software engineering and agile delivery practices. Proven leadership capability, fostering high performance, coaching teams, navigating complexity, and driving a collaborative, outcomes‑focused culture. Advanced technical skills in Python, machine learning, predictive modelling, statistical methods, and experience working within cloud environments (ideally AWS). Strong stakeholder and communication skills, able to translate complex technical concepts into clear, actionable insights for senior leaders and diverse audiences. Strategic thinking and commercial acumen, enabling you to align technology initiatives to business priorities, identify innovation opportunities and guide long‑term roadmaps. A commitment to operational excellence, with experience in service management (ITIL), compliance requirements, data privacy standards, and delivering reliable, scalable analytics solutions. Why join our team Every day, our people bring deep expertise, true innovation and investment to help our customers – and the world – reduce their environmental footprint. You can be part of that change. Benefits Competitive remuneration packages, including an attractive incentivised bonus program. Generous paid parental leave options that give team members more time to enjoy what matters most. Flexible working arrangements, with modern workplaces and technologies that support new, hybrid ways of working. An Employee Assistance Program for you and your family when you need it. Visit our careers site to find out more. Read the stories of our incredible people. Join us. Together, we can make the difference count. Shell Energy is an Equal Opportunity Employer that values the diversity of its people. We do not discriminate on the basis of gender, race, religion, colour, national origin, sexual orientation, age, marital status, veteran status or disability. #J-18808-Ljbffr


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