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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.
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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.
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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: Brett Hornby
About Edwards
Edwards is a leading developer and manufacturer of sophisticated vacuum products, exhaust management systems and related value-added services. Edwards solutions are integral to manufacturing processes for semiconductors, flat panel displays, LEDs and solar cells. They are also used within an increasingly diverse range of industrial processes including power, glass and other coating applications; steel and other metallurgy; pharmaceutical and chemical; and for scientific instruments in a wide range of R&D applications.
Edwards has over 4,000 employees worldwide engaged in the design, manufacture and support of high technology vacuum and exhaust management equipment. Edwards has state-of-the-art manufacturing facilities in Europe, Asia and North America.
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