At a Glance
- Tasks: Transform complex data into actionable insights and predictive solutions for real-world impact.
- Company: Join Edwards, a leader in vacuum technology and industrial innovation.
- Benefits: Enjoy a hybrid work model, competitive pay, and a focus on lifelong learning.
- Other info: Collaborative culture with opportunities for career growth and travel.
- Why this job: Make a difference by solving global customer challenges with cutting-edge data science.
- Qualifications: 2+ years in data science, strong Python skills, and a degree in a related field.
The predicted salary is between 45000 - 55000 £ per year.
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:
- 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
- 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: Jessica Timperley
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.
Data Scientist - Customer Focus employer: Atlas Copco
At Edwards, we pride ourselves on fostering a culture of trust and accountability, where your contributions as a Data Scientist - Customer Focus will directly impact our global customers and their operational success. With a commitment to lifelong learning and career growth, we offer comprehensive compensation and benefits, alongside the flexibility of hybrid or remote working arrangements, making it an ideal environment for innovative thinkers eager to make a difference in the field of data science and industrial innovation.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - Customer Focus
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Showcase your skills through projects! Create a portfolio of your data analyses and predictive models. This not only demonstrates your expertise but also gives you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for interviews by practising common data science questions and scenarios. Think about how you would explain complex concepts to non-technical audiences, as communication is key in customer-facing roles.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications from candidates who are genuinely interested in joining us at StudySmarter. Plus, it’s a great way to ensure your application gets noticed!
We think you need these skills to ace Data Scientist - Customer Focus
Some tips for your application 🫡
Show Your Data Skills:Make sure to highlight your practical Python skills and experience with data science libraries. We want to see how you can turn complex data into actionable insights, so don’t hold back on showcasing your projects or relevant experiences!
Tailor Your Application:Take a moment to customise your CV and cover letter for this role. Mention specific experiences that align with the job description, especially those involving customer collaboration and predictive modelling. It shows us you’re genuinely interested!
Be Clear and Concise:When writing your application, keep it clear and to the point. Use straightforward language to explain your experiences and how they relate to the role. Remember, we appreciate clarity just as much as technical expertise!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Atlas Copco
✨Know Your Data Science Tools
Make sure you're well-versed in Python and the data science libraries mentioned in the job description. Brush up on your skills with pandas, numpy, and scikit-learn, as you'll likely be asked to demonstrate your technical knowledge during the interview.
✨Understand Customer Needs
Since this role is customer-focused, think about how you can translate complex data into actionable insights for clients. Prepare examples of how you've done this in the past, and be ready to discuss how you would approach real-world customer challenges.
✨Practice Your Presentation Skills
You'll need to present insights clearly, so practice explaining your analyses and models in a way that's easy to understand for both technical and non-technical audiences. Consider doing mock presentations to friends or colleagues to get comfortable.
✨Show Your Collaborative Spirit
This role involves working closely with various teams, so be prepared to discuss your experience in collaborative environments. Think of specific instances where you've worked with others to solve problems or improve processes, and highlight your communication skills.
