At a Glance
- Tasks: Transform complex data into actionable insights and predictive solutions for real-world impact.
- Company: Join Edwards, a leader in vacuum and abatement markets, fostering innovation and collaboration.
- Benefits: Enjoy a culture of trust, lifelong learning, competitive compensation, and health benefits.
- Other info: Flexible hybrid/remote work with opportunities for travel and career growth.
- Why this job: Make a difference globally by solving customer challenges with cutting-edge data science.
- Qualifications: 2+ years in data science, strong Python skills, and experience with predictive modelling.
The predicted salary is between 45000 - 55000 £ per year.
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.
- 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
- Innovation powered by people
- Comprehensive compensation and benefits
- Health and well-being
This role offers a hybrid or remote working arrangement, there may be some travel required as part of the role.
Data Scientist, Customer Impact (Remote/Hybrid) in Burgess Hill employer: Atlas Copco Airpower N.V.
Edwards is an exceptional employer that fosters a culture of trust and accountability, offering employees the opportunity to engage in meaningful work at the forefront of data science and industrial innovation. With a strong emphasis on lifelong learning and career growth, team members can expect comprehensive benefits and a supportive environment that encourages collaboration and creativity, all while working remotely or in a hybrid setting. This role not only allows you to make a tangible impact on global customer challenges but also positions you within a company that values innovation and employee well-being.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist, Customer Impact (Remote/Hybrid) in Burgess Hill
✨Tip Number 1
Network like a pro! Reach out to people in your field on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews by practising common data science questions and scenarios. We recommend doing mock interviews with friends or using online platforms to get comfortable presenting your insights and solutions.
✨Tip Number 3
Showcase your skills through projects! Create a portfolio of your work that highlights your ability to turn complex data into actionable insights. We love seeing real-world applications of your skills, so don’t hold back!
✨Tip Number 4
Apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate individuals who want to make a difference in the world of data science.
We think you need these skills to ace Data Scientist, Customer Impact (Remote/Hybrid) in Burgess Hill
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Data Scientist - Customer Impact. Highlight your experience with data analysis, predictive modelling, and any customer-facing roles you've had. We want to see how your skills align with our mission!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science and how you can make a difference at Edwards. Share specific examples of how you've turned complex data into actionable insights in the past.
Showcase Your Technical Skills:Don’t forget to mention your practical Python skills and familiarity with data science libraries. If you've worked with cloud platforms like Azure or have experience with APIs, let us know! We love seeing those technical chops in action.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we’ll be able to review your application more efficiently. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Atlas Copco Airpower N.V.
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially around predictive modelling and the libraries mentioned in the job description. Be ready to discuss your past projects and how you've turned complex data into actionable insights.
✨Understand the Customer's Needs
Since this role involves working closely with customers, take some time to research Edwards and their industry. Think about how your skills can directly impact their operations and be prepared to share ideas on how you could add value.
✨Show Off Your Communication Skills
You’ll need to present insights clearly to both technical and non-technical audiences. Practice explaining your past work in simple terms, and be ready to demonstrate how you can make complex concepts accessible.
✨Be Ready for Real-World Scenarios
Expect questions that test your problem-solving skills in real operational environments. Prepare examples of how you've tackled deployment issues or integrated analytics into workflows, showcasing your ability to adapt and iterate based on feedback.
