Edwards Vacuum jobs

Your role

As a Data Scientist, your mission is to build and continuously improve machine-learning driven predictive models that help customers anticipate vacuum asset failures from day one.

This is an exciting opportunity to help us grow a high-impact Data Science Team within our Semiconductor Service division. The Semiconductor Service Division is a growing, global organisation focused on scaling service excellence and accelerating transformation through technology. You will report to the Principle Data Scientist and be part of a dynamic growing team to create customer value globally.

You will

• Build ML-based tooling that turns large training datasets into highly accurate, generic predictive models that can be applied on Day 1 of a customer engagement.
• Design and iterate model training processes, and help transition them into automated, production-grade pipelines (including retraining and re-tuning as new data arrives).
• Partner with Data Engineers, DevOps, and domain experts to shape datasets, features, evaluation approaches, and deployment patterns.
• Communicate insights and recommendations clearly to stakeholders, choosing the right medium for the audience (technical deep-dives, storytelling, dashboards, presentations).
• Participate in design sessions and code peer reviews, contributing to shared standards and best practices.
• Stay current with state-of-the-art data science methods and tooling, building internal/external peer networks to accelerate learning for yourself and the team.

To succeed, you will need

We encourage you to apply even if you don't meet every single requirement. We value diverse experiences and perspectives and are excited to see what you bring to the role.

You have 5+ years of experience, working as a Data Scientist (or in a closely related role) building machine-learning models from real-world data.

• Degree (or equivalent experience) in Computer Science, Engineering, Physical Sciences, or another mathematics-based discipline.
• Strong hands-on experience with mainstream analytics/programming languages (e.g., Python, R, MATLAB, Scala).
• Proven ability to develop, evaluate, and iterate predictive models using large datasets and sound statistical/ML methods.
• Comfortable building production-minded code: version control (e.g., Git/SVN), reproducibility, and collaborative development.
• Experience with cloud and scalable computing environments; containers and automated deployment are a plus.
• Excellent written and spoken English; additional European or Asian language skills are beneficial.

In return, we offer

• Culture of trust and accountability
• Lifelong learning and career growth
• Innovation powered by people
• Comprehensive compensation and benefits
• Health and well-being

Job location

This role offers remote working with occasional travel required to our Global Technology Centre in Burgess Hill, United Kingdom (GB).

Contact information

Talent Acquisition Team: Jessica Timperley