Scientist customer Work, Jobs in Newhaven, Esx (with Salaries)

Data Scientist - Customer Focus
Atlas Copco Group —Burgess Hill
- Hybrid work
- Azure
- Computer Science
- Travel
Data Scientist
Atlas Copco Group —Burgess Hill
- Remote
- Computer Science
- English
- No degree
Senior Decision Scientist
MPB —Brighton
- Full-time
- Hybrid work
- Master's degree
- SQL
- Agile
- Annual leave
- Employee assistance programme
Quick apply
Quantum Error Correction Scientist
Universal Quantum —Haywards Heath
- Full-time
- Hybrid work
- Doctoral degree
- Organisational skills
- Communication skills
Quick apply
Tech Lead, Web Core Product & Chrome Extension - Brighton, United Kingdom
Speechify —Brighton
- Remote
- JavaScript
- Communication skills
22h
Senior Insight Lead
MPB —Brighton
- Full-time
- Hybrid work
- SQL
- Warehouse experience
- Leadership
- Annual leave
- Employee assistance programme
Quick apply
Senior Biomedical Scientist
Nuffield Health —Brighton
- Up to £45,500 a year
- Full-time
- Laboratory experience
- Master's degree
- IT
- Employee discount
- Gym membership
Senior Pricing Data Scientist
OneFamily —Brighton
- Full-time
- Machine learning
- Mentoring
- Communication skills
Sourcing Manager
BioIVT —Burgess Hill
- Full-time
- Hybrid work
- Management
- Customer service
- Salesforce
- Free parking
- Employee assistance programme
Quick apply
6d

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Data Scientist
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Monthly organised socials and an additional flexible monthly social budget for team lunches, coffees, dinners, or activities with colleagues.
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Data Scientist
Atlas Copco Group —Burgess Hill
As a Data Scientist, your mission is to build and continuously improve machine-learning driven predictive models that help customers anticipate vacuum asset…

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Data Scientist - Customer Focus

Atlas Copco Group -
Burgess Hill

Apply Now

Job details

Qualifications

Azure
Computer Science
NumPy
Pandas
SciPy
APIs
Predictive analytics
Data science
Communication skills
Python

Full job description

Your role

As a Data Scientist - Customer Focus, your mission is to turn complex data into practical insights and predictive solutions that help improve equipment performance, reduce downtime, and support better operational decision-making. In this role, you will work closely with customers, account teams, and technical specialists, giving you the chance to see the direct impact of your work in real operational environments while building experience at the intersection of technology, customer collaboration and business value.

This is an exciting opportunity to work at the forefront of data science and industrial innovation, applying advanced analytics to solve real customer challenges on a global scale.

You will

Explore, prepare, and deliver data analyses, predictive models, and reporting that create measurable value for global customers.
Work closely with customers and account teams to rapidly iterate on solutions using real data, feedback, and operational constraints.
Support the integration of analytics outputs into customer workflows, helping ensure solutions are practical, reliable, and adopted by users.
Investigate deployment or operational issues and translate feedback into technical improvements.
Present insights and recommendations clearly through reports, dashboards, workshops, and customer presentations.
Support pre-sales and delivery activity through demos, business reviews, and occasional on-site customer engagement.
Collaborate with Data Engineering, DevOps, and R&D teams to deploy, validate, and scale analytics solutions.
Contribute to the continuous improvement of models, data workflows, and delivery processes.

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 2+ years of experience, working as a Data Scientist, Analytics Specialist, or in a similar role.

A degree in Data Science, Computer Science, Engineering, Mathematics, Physics, Chemistry, or a related discipline.
Strong practical Python skills and experience with common data science libraries such as pandas, numpy, scipy, statsmodels, or scikit-learn.
The ability to turn data into clear, actionable insights for both technical and non-technical audiences.
Experience working with predictive modelling, ideally with time-series, sensor, manufacturing, or operational data.
Familiarity with cloud platforms such as Azure and an understanding of APIs or production environments.
Confidence working in customer-facing or consulting-style environments, with strong communication and collaboration skills.

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 a hybrid or remote working arrangement, there may be some travel required as part of the role.

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:

May 24, 2026

Last day to apply:

June 30, 2026

Apply for this position

Apply Now

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scientist customer jobs in newhaven, esx

Data Scientist - Customer Focus

Data Scientist

Senior Decision Scientist

Quantum Error Correction Scientist

Tech Lead, Web Core Product & Chrome Extension - Brighton, United Kingdom

Senior Insight Lead

Senior Biomedical Scientist

Senior Pricing Data Scientist

Sourcing Manager

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