Overview
We are seeking an experienced Data Scientist to join an innovative industrial AI and IoT software organisation on a 6-month contract. This role involves developing intelligence solutions for a safety-critical operational platform in the energy sector, collaborating closely with technical teams and stakeholders to provide measurable operational value through data science and machine learning. You will play a key role in enhancing how organizations leverage operational data to improve efficiency and decision-making.
Responsibilities
- Develop rule engines that automate workflows and identify unexpected changes in operational data.
- Build machine learning, optimisation and AI-driven planning solutions for complex scenarios.
- Design intelligent alerting and notification models to enhance operational visibility.
- Create data-driven applications and dashboards for frontline operational teams.
- Develop digital forms and workflow tools to streamline processes.
- Implement historical and forward-looking planning capabilities using operational data.
- Run workshops and engage with stakeholders to understand business challenges.
- Rapidly develop prototypes and proof-of-concepts demonstrating business value.
Requirements
- Strong Python development skills with production deployment experience in analytics or machine learning.
- Hands-on experience in machine learning, statistical modelling, optimisation or decision science.
- Experience in building dashboards or user-facing analytical solutions using tools such as Power BI or Grafana.
- Strong stakeholder engagement and workshop facilitation skills.
- Solid SQL skills for data exploration and transformation.
- Degree in a quantitative discipline such as Data Science or Mathematics.
- Experience with graph databases or industrial AI is highly desirable.
- Familiarity with Generative AI, TypeScript and React is a plus.