At a Glance
- Tasks: Build and improve machine-learning models to predict vacuum asset failures.
- Company: Join a high-impact Data Science Team in the Semiconductor Service division.
- Benefits: Enjoy remote work, comprehensive benefits, and opportunities for lifelong learning.
- Other info: Work in a culture of trust, accountability, and continuous career growth.
- Why this job: Make a real impact with cutting-edge technology and innovative projects.
- Qualifications: 5+ years as a Data Scientist with strong programming skills in Python or R.
The predicted salary is between 60000 - 80000 £ per year.
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.
- 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:
- 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
This role offers remote working with occasional travel required to our Global Technology Centre in Burgess Hill, United Kingdom (GB).
Data Scientist employer: Atlas Copco Group
As a leading employer in the Semiconductor Service division, we pride ourselves on fostering a culture of trust and accountability, where innovation is powered by our talented people. Our commitment to lifelong learning and career growth ensures that you will have ample opportunities to develop your skills while working remotely with occasional travel to our Global Technology Centre in Burgess Hill, UK. Join us to be part of a high-impact Data Science Team that values diverse experiences and perspectives, making a meaningful impact from day one.
