Predictive Maintenance Data Scientist
About the role
We are seeking a highly experienced and organised Predictive Maintenance Data Scientist to join our client. The successful candidate will own and deliver data-driven predictive maintenance initiatives, focused on identifying and preventing failures across physical assets such as infrastructure, machinery, or vehicles. As a well-rounded data scientist, you will leverage strong applied machine learning expertise, combining data science and engineering to drive business impact. Operating as a senior individual contributor, you will take a consultative approach- working closely with stakeholders to define requirements, contribute to the product roadmap, and ensure delivery against objectives, timelines, scope, and quality standards.
Tell me more, tell me more…
Our client is currently looking for a new recruit in joining their team, please read on!
You can also ask our friendly recruitment team any questions you may have about the role, between 8:30am-5:30pm Monday to Friday.
Shifts: Monday – Friday (37.5 hours per week)
Key Skills
- Full stack data scientist with both science and engineering skills to develop ML solutions and get them into production
- Senior individual contributor, able to draw upon a wide experience of problems and solutions to technically guide more junior data scientist
- Stakeholder management skills (defining and prioritising requirements, contributing to product roadmap, supporting adoption). Motivated as much by creating business value as by algorithmic excellence.
- Expert in applied machine learning, including the techniques currently being used in PRISM (XGBoost and SHAP)
- Experience of using machine learning to solve commercial predictive maintenance problems. Not necessarily for aircraft maintenance, could be other physical assets.
- Ideally, experience with Causal ML, since this is a direction client as considering going with PRISM.
What’s in it for you? –
Our client loves to reward their people for doing a great job.
- This is a 6-month contract. (possibility of extension)
- A day rate, in-scope of IR35, either via a Hays approved umbrella company or via Hays PAYE
- This role provides a remote working access from the comforts of your own home and only going to our state-of-the-art office in Waterside, London 3 days per week.
Next Steps
Once you’ve applied, one of our friendly recruitment consultants will give you a call and talk you through the screening process.
If your application is successful, you’ll be involved in a live virtual interview with one of our client’s hiring managers to get to know you better.
We look forward to speaking to you!
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