At a Glance
- Tasks: Transform complex data into actionable insights and predictive solutions for real-world challenges.
- Company: Join a leading firm at the forefront of data science and industrial innovation.
- Benefits: Enjoy a culture of trust, lifelong learning, and comprehensive health benefits.
- Other info: Flexible hybrid or remote work options with opportunities for travel.
- Why this job: Make a tangible impact on global operations while collaborating with diverse teams.
- 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.
Qualifications
- 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.
Benefits
- 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, and there may be some travel required as part of the role.
Data Scientist - Customer Focus 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 flexibility of hybrid or remote working arrangements, alongside opportunities for travel that enrich your professional experience. Join us to collaborate with diverse teams and leverage advanced analytics in a supportive environment that values your unique contributions.
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 put in a good word for you.
✨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 questions and scenarios related to data science. 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! We love seeing applications directly from candidates who are excited about joining us. Plus, it shows you're proactive and genuinely interested in the role.
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 experience with Python and data science libraries 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! Tailor your application to reflect the job description. Mention your experience with predictive modelling and customer collaboration, as these are key aspects of the role we’re looking to fill.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use straightforward language to explain your past experiences and how they relate to the role. We appreciate clarity, especially when it comes to presenting insights!
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 this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Edwards Vacuum
✨Know Your Data Science Stuff
Make sure you brush up on your Python skills and the data science libraries mentioned in the job description. Be ready to discuss how you've used these tools in past projects, especially when it comes to predictive modelling and turning data into actionable insights.
✨Understand the Customer Focus
Since this role is all about customer collaboration, think of examples where you've worked closely with clients or stakeholders. Be prepared to share how you’ve translated complex data into practical solutions that have made a real impact on their operations.
✨Show Off Your Communication Skills
You’ll need to present insights clearly, so practice explaining your past projects in a way that’s easy to understand for both technical and non-technical audiences. Consider preparing a mini-presentation or a few key points to demonstrate your ability to communicate effectively.
✨Be Ready for Real-World Scenarios
Expect questions that put you in hypothetical situations related to operational issues or customer feedback. Think through how you would approach these challenges and be ready to discuss your thought process and any relevant experiences.
