At a Glance
- Tasks: Transform complex data into actionable insights and predictive solutions for real-world challenges.
- Company: Join a leading innovator in data science and industrial technology.
- Benefits: Enjoy a culture of trust, lifelong learning, and comprehensive health benefits.
- Other info: Flexible hybrid or remote work with opportunities for travel and collaboration.
- Why this job: Make a tangible impact on global customer operations while advancing your career.
- Qualifications: 2+ years in data science, strong Python skills, and a relevant degree.
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. 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. 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.
Responsibilities- 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.
- 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.
- 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, and there may be some travel required as part of the role.
Data Scientist - Customer Focus in Burgess Hill employer: Edwards Vacuum
As a Data Scientist - Customer Focus, you will thrive in a culture that prioritises trust, accountability, and innovation, allowing you to make a tangible impact on global customer operations. With a strong emphasis on lifelong learning and career growth, this role offers the unique opportunity to collaborate closely with customers and technical teams, ensuring your insights lead to real-world solutions. Enjoy the flexibility of hybrid or remote working arrangements while being part of a forward-thinking organisation that values diverse experiences and perspectives.
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 put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analyses, predictive models, and any projects you've worked on. This will give potential employers a taste of what you can do and how you can add value to their team.
✨Tip Number 3
Prepare for interviews by practising common data science questions and scenarios. Think about how you can demonstrate your problem-solving skills and your ability to turn complex data into actionable insights during the conversation.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are excited about joining us. Plus, it gives you a better chance to stand out in the crowd!
We think you need these skills to ace Data Scientist - Customer Focus in Burgess Hill
Some tips for your application 🫡
Show Your Data Skills:Make sure to highlight your experience with data analysis and predictive modelling in your application. We want to see how you've turned complex data into actionable insights, so share specific examples that showcase your skills!
Tailor Your Application:Don’t just send a generic CV and cover letter! Take the time to tailor your application to the Data Scientist - Customer Focus role. Mention how your background aligns with our mission of improving equipment performance and supporting operational decision-making.
Be Clear and Concise:When writing your application, clarity is key. Use straightforward language to explain your experiences and achievements. We appreciate well-structured applications that are easy to read and get straight to the point!
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 shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Edwards Vacuum
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially Python 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 Focus
Since this role is all about customer collaboration, think about how you've worked with clients in the past. Prepare examples of how you've gathered feedback and iterated on solutions to meet their needs. This will show that you can bridge the gap between technical work and customer satisfaction.
✨Practice Your Presentation Skills
You'll need to present insights clearly, so practice explaining your analyses and models in a way that's easy for non-technical audiences to understand. Use visuals or simple analogies to make your points clearer during the interview.
✨Show Your Collaborative Spirit
This role involves working closely with various teams, so be prepared to discuss your experience in collaborative environments. Highlight any cross-functional projects you've been part of and how you contributed to the team's success.
