Data scientist Work, Jobs in Steyning, Wsx (with Salaries)

Data Scientist
Atlas Copco Group —Burgess Hill
- Remote
- Computer Science
- English
- No degree
Senior Data Scientist
1st Central —Haywards Heath
- £40,000 - £52,000 a year
- Hybrid work
- Data analysis skills
- SQL
- Analysis skills
15h
Data Scientist - Customer Focus
Atlas Copco Group —Burgess Hill
- Hybrid work
- Azure
- Computer Science
- Travel
Senior Decision Scientist
MPB —Brighton
- Full-time
- Hybrid work
- Master's degree
- SQL
- Agile
- Annual leave
- Employee assistance programme
Quick apply
Lead AI Engineer
Rentokil Initial Group —Crawley
- Hybrid work
- Computer Science
- Engineering
- Master's degree
- Free parking
- Employee assistance programme
Quick apply
2d

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Data Scientist

Atlas Copco Group -
Burgess Hill

Apply Now

Job details

Qualifications

MATLAB
Computer Science
R
Git
English
SVN
Scala
Python

Full job description

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: Brett Hornby

Company: Atlas Copco Group

Functional area:

Research and Development

Location:

UK - United Kingdom

City:

Burgess Hill

On-site/remote:

Hybrid

Brand:

Edwards

Company Name:

Edwards Ltd

Date of Posting:

July 6, 2026

Last day to apply:

July 31, 2026

Apply for this position

Apply Now

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