At a Glance
- Tasks: Solve real-world problems using data and improve equipment performance.
- Company: Join a global leader in industrial IoT and AI innovation.
- Benefits: Competitive salary, private medical, generous pension, and bonus opportunities.
- Other info: Dynamic role with international travel and excellent career growth potential.
- Why this job: Make a tangible impact while working with cutting-edge technology and diverse teams.
- Qualifications: Experience in data science, strong Python skills, and a technical degree.
The predicted salary is between 50000 - 70000 £ per year.
We're partnering with a global business looking for a hands-on Data Scientist who enjoys solving real operational problems with data, not just building models in isolation. You'll work with live industrial, sensor, and time series data to uncover failure patterns, improve equipment performance, and help customers make smarter operational decisions. The role is practical, fast-paced, and highly collaborative, with a strong focus on applying data science in real-world environments.
This is an exciting opportunity to join a team building a modern industrial IoT and AI platform combining cloud streaming, operational analytics, and emerging AI/LLM technologies. With strong investment in innovation and a proven track record of developing people internally, it's a business where you can genuinely grow alongside the technology.
There's a strong customer facing side to the role. You'll be speaking with both technical and non-technical stakeholders, so being able to explain complex ideas in a simple, practical way is key! Occasional international travel will be required.
What you'll be doing:
- Working with large volumes of industrial and sensor data
- Building predictive analytics and reporting tools in Python
- Spotting patterns, anomalies, and early indicators of equipment failure
- Turning complex data into clear recommendations customers can actually use
- Running demos, workshops, and customer presentations
- Working closely with commercial teams, engineers, and customers to shape solutions
- Helping deploy and improve analytics tools used in live operational environments
- Supporting the growth of a next generation industrial IoT and AI platform
What we're looking for:
- Experience in a Data Scientist role
- Strong Python skills including pandas, numpy, and scikit learn
- Experience working with time series, IoT, sensor, manufacturing, or operational data
- Commercial awareness and an understanding of how analytics creates value for customers
- Confidence presenting ideas and insights to different audiences
- Experience working in customer facing, consulting, or collaborative environments
- Exposure to cloud platforms like Azure or production environments
- A degree in a technical subject such as Data Science, Engineering, Maths or Physics
Great package on offer including a competitive basic salary, private medical, discretionary bonus, 8% employer pension contribution, life insurance, enhanced maternity and paternity package and a recognition and reward scheme!
If this job isn't quite right for you, but you are looking for a new position, please register with us and we will let you know of any suitable opportunities that become available. Conduco Resourcing is committed to supporting diversity and inclusion in the workplace and will do everything we can to ensure that our candidates are presented with equal opportunities. If you have any questions regarding reasonable adjustments, please get in touch.
Data Scientist (Customer Focus) in Newport employer: Conduco Resourcing
Join a forward-thinking global business as a Data Scientist, where you'll tackle real-world operational challenges using live industrial data. With a strong emphasis on innovation and employee development, this collaborative environment offers excellent growth opportunities alongside cutting-edge technology. Enjoy a competitive benefits package, including private medical insurance and a generous pension contribution, all while making a tangible impact on customer operations.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist (Customer Focus) in Newport
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. The more you engage, the better your chances of landing that Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving real-world data. This will help you stand out and demonstrate your ability to solve practical problems with data.
✨Tip Number 3
Practice your presentation skills! Since you'll be explaining complex ideas to both technical and non-technical stakeholders, being able to communicate clearly is crucial. Run through mock presentations with friends or mentors.
✨Tip Number 4
Apply through our website! We’ve got loads of exciting opportunities, and applying directly can give you an edge. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Data Scientist (Customer Focus) in Newport
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Data Scientist role. Highlight your Python expertise, experience with time series data, and any customer-facing roles you've had. We want to see how you can solve real operational problems!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about this role and how your background aligns with our focus on practical data science. Keep it conversational but professional – we love a bit of personality!
Showcase Your Problem-Solving Skills:In your application, give examples of how you've used data to solve real-world problems. Whether it's spotting anomalies or improving performance, we want to see your thought process and the impact of your work. Make it relatable!
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 to join our team at StudySmarter!
How to prepare for a job interview at Conduco Resourcing
✨Know Your Data Inside Out
Before the interview, dive deep into the types of data you'll be working with. Familiarise yourself with industrial, sensor, and time series data. Be ready to discuss how you've previously uncovered failure patterns or improved equipment performance using data.
✨Showcase Your Python Skills
Brush up on your Python skills, especially with libraries like pandas, numpy, and scikit-learn. Prepare to demonstrate your ability to build predictive analytics and reporting tools. Maybe even bring a small project or example to discuss during the interview!
✨Communicate Clearly
Since the role involves explaining complex ideas to both technical and non-technical stakeholders, practice simplifying your explanations. Think of examples where you’ve successfully communicated insights to diverse audiences and be ready to share those experiences.
✨Emphasise Collaboration
This position is highly collaborative, so highlight your experience working in team settings. Be prepared to discuss how you've worked closely with commercial teams, engineers, and customers to shape solutions. Show that you thrive in a fast-paced, team-oriented environment!
