Research Engineer (Data Analytics) - JZ

About the role

The Research Engineer supports applied research and innovation in environmental sustainability, working with internal teams and industry partners to turn scientific concepts into scalable solutions. The role focuses on resource efficiency, waste management and other sustainable solutions for various industries, and aims to address real-world challenges through commercially viable solutions.

Key responsibilities

• Develop tools and platforms for an environmental sustainability database covering generic and industry-specific applications such as life cycle analysis (LCA), environmental impact assessments, energy analysis and resource optimisation studies.
• Perform data analysis and generate results for sustainability assessments and solutions development, and support sustainability solution roadmapping and frameworks.
• Support collaboration with industry partners, including project scoping, industry meetings and project engagements.
• Assist in planning and executing projects, and generate technical reports, presentations and documentation.
• Contribute to grant proposals and project submissions where required, and track project progress.

Required profile

• Bachelor's degree with 5+ years of experience, or Master's degree with 2+ years of experience, in Applied Statistics, Applied Mathematics, Data Science, Computer Science or a related field.
• Relevant experience in research, engineering, product development or sustainability-related work.
• Understanding of sustainability concepts such as LCA, carbon footprinting and resource efficiency.
• Strong analytical skills, attention to detail, and excellent written and verbal communication skills.

Required skills

• Strong programming in Python for data analysis, modelling and decision-support tool development.
• Proficiency in SQL for data querying and transformation.
• Technical writing, presentation and collaborative work in a multidisciplinary environment.