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- Design and implement advanced data science solutions using machine learning, deep learning, and generative AI techniques
- Develop predictive and analytical models to support areas such as safety analytics, operational performance, and energy efficiency
- Translate complex operational or strategic challenges into scalable data-driven models
- Collaborate closely with cross-functional teams including technical specialists, operational stakeholders, and IT professionals
- Apply best practices in model development, validation, testing, and deployment
- Contribute to the adoption of modern data science tools, frameworks, and methodologies across the team
You will be involved in a variety of analytical initiatives where advanced analytics and AI can deliver measurable impact.
- Security and risk analytics aimed at improving safety and infrastructure monitoring
- Predictive modeling to optimize operational performance and reliability
- Energy consumption analysis to support sustainability and efficiency initiatives
- Exploration of generative AI use cases to enhance processes and operational decision-making
- Development of strategic models to support data-driven planning and optimization
Our client is seeking an experienced data science professional with strong technical expertise and the ability to work effectively with business stakeholders.
- Master’s degree (or equivalent) in Data Science, Computer Science, Statistics, Artificial Intelligence, or a related field
- At least 5 years of experience in data science with a proven track record delivering solutions in industrial or operational environments
- Strong knowledge of programming languages commonly used in data science (such as Python or similar)
- Solid understanding of machine learning, advanced analytics techniques, and model lifecycle management
- Experience deploying machine learning or AI models into production environments
- Proven experience working with cloud-based platforms for large-scale data analytics projects
- Ability to translate complex business challenges into actionable analytical solutions
- Strong communication and presentation skills when working with both technical and non-technical stakeholders
- Willingness to work on-site part of the week in collaboration with the broader team
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