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, driving innovation.
- Benefits: Enjoy a culture of trust, lifelong learning, and comprehensive compensation.
- Other info: Hybrid or remote work options available, with opportunities for travel.
- Why this job: Make a difference globally by solving customer challenges with advanced analytics.
- Qualifications: 2+ years in data science, strong Python skills, and experience with predictive modelling.
The predicted salary is between 45000 - 55000 £ per year.
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 Focus 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 lifelong learning and career growth. As a Data Scientist - Customer Focus, you will be at the forefront of innovation, collaborating closely with customers and technical teams to deliver impactful solutions while enjoying a flexible hybrid or remote working arrangement. With a commitment to employee well-being and comprehensive benefits, Edwards provides a rewarding environment where your contributions directly enhance operational performance on a global scale.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - Customer Focus in Burgess Hill
✨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 can explain complex concepts in simple terms, especially since you'll be working with both technical and non-technical audiences.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Edwards.
We think you need these skills to ace Data Scientist - Customer Focus in Burgess Hill
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Data Scientist - Customer Focus. 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 contribute to improving equipment performance. Be sure to mention any relevant projects or experiences that showcase your skills.
Showcase Your Technical Skills:We love seeing practical examples of your work! If you've used Python or any data science libraries like pandas or scikit-learn, share specific projects or outcomes. This helps us understand your hands-on experience and problem-solving abilities.
Apply Through Our Website:Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Atlas Copco Airpower N.V.
✨Know Your Data Science Tools
Make sure you're well-versed in Python and the data science libraries mentioned in the job description, like pandas and scikit-learn. Brush up on your predictive modelling skills, especially with time-series or operational data, as these will likely come up during the interview.
✨Understand the Customer Focus
Since this role is all about turning data into actionable insights for customers, think about how you can demonstrate your experience in customer-facing roles. Prepare examples of how you've collaborated with clients to solve problems using data, and be ready to discuss how you can apply that to Edwards' specific challenges.
✨Prepare for Practical Scenarios
Expect to tackle real-world scenarios during your interview. Practice explaining how you would approach a data analysis project from start to finish, including how you'd gather requirements from customers and iterate on solutions based on feedback. This shows you can think critically and adapt to operational constraints.
✨Communicate Clearly
You’ll need to present insights to both technical and non-technical audiences, so practice simplifying complex concepts. Prepare to discuss how you would create reports or dashboards that are easy to understand, and think about how you can showcase your communication skills during the interview.
