We are looking for an experienced Data Scientist who will be crucial in driving the development of high-quality AI and Machine Learning applications for our client. This role involves building a platform from scratch, leveraging telemetry, finance, and maintenance data from Microsoft Dynamics 365, alongside data repositories such as Azure, Databricks, and AWS. A large part of the role will be managing suppliers and overseeing their technical delivery of the solution.
Responsibilities
- Lead the development of a Machine Learning platform from concept through to production, using industrial data.
- Collaborate with suppliers to ensure smooth technical delivery and integration of AI/ML solutions.
- Build custom ML models, including Generative AI components, tailored to the client’s needs.
- Optimise stock levels and predict asset maintenance using telemetry and financial data from Microsoft Dynamics 365.
- Develop and implement solutions that leverage factory telemetry data to broaden and improve maintenance tasks.
- Evaluate the data requirements, build custom models, and ensure scalability of ML solutions.
- Design strategies for ML solutions, ensuring they deliver long-term value and stability.
- Communicate complex technical concepts and strategies in layman’s terms to key stakeholders.