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- Tasks: Build and deploy impactful ML models that prevent equipment failure.
- Company: Join a forward-thinking company focused on real-world data solutions.
- Benefits: Up to £52,000 salary, fully remote work, and growth opportunities.
- Other info: Be part of a greenfield initiative and collaborate with experts in the field.
- Why this job: Shape the future of predictive modelling with hands-on experience from day one.
- Qualifications: 5+ years in Data Science, strong Python/R skills, and cloud experience preferred.
The predicted salary is between 52000 - 52000 £ per year.
Are you a Data Scientist who wants to build ML models that deliver real-world impact from Day one? Our client is looking to hire a Data Scientist to join a brand-new, high-performing Scrum team focused on developing predictive models to prevent equipment failure. You’ll be working at the intersection of machine learning, engineering, and real-world industrial data, building solutions that customers rely on immediately.
This isn’t a research-only role, this is about production-grade ML. You’ll design models, deploy them, and continuously improve them through automated retraining pipelines as new data flows in.
What You’ll Be Doing:
- Build and deploy highly accurate ML models using large-scale datasets
- Create automated training pipelines that continuously improve model performance
- Work closely with Data Engineers and DevOps to productionise models at scale
- Turn complex data into clear, actionable insights for stakeholders
- Collaborate with domain experts to solve real customer problems with data
- Stay ahead of the curve with the latest ML techniques and tools
What they’re Looking For:
- 5+ years in Data Science / Machine Learning
- Strong experience with Python, R, or similar
- Experience working in cloud / scalable environments (a plus)
- Confident communicator who can tell a story with data
- Pragmatic mindset
Why This Role?
You’ll be part of a greenfield ML initiative, shaping how predictive models are built, deployed, and improved at scale. If you want to move beyond theory and work on ML that actually gets used, this is it.
Data Scientist in England employer: IO Associates
Contact Detail:
IO Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in England
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or at meetups. We can’t stress enough how many opportunities come from personal connections, so don’t be shy!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects and data visualisations. This is your chance to demonstrate what you can do beyond just words on a CV.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Apply through our website! We’ve got loads of exciting roles waiting for you, and applying directly can sometimes give you an edge. Plus, we love seeing familiar faces!
We think you need these skills to ace Data Scientist in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Data Science and Machine Learning. We want to see how you've built and deployed models, so don’t hold back on those details!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share your passion for ML and how you’ve turned complex data into actionable insights in the past.
Showcase Your Projects: If you’ve worked on any relevant projects, make sure to include them! We love seeing real-world applications of your skills, especially if they relate to predictive modelling or automated pipelines.
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 don’t miss out on any important updates from us!
How to prepare for a job interview at IO Associates
✨Know Your ML Models Inside Out
Make sure you can discuss the machine learning models you've built in detail. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This shows that you’re not just familiar with theory but have practical experience.
✨Showcase Your Communication Skills
As a Data Scientist, you’ll need to turn complex data into actionable insights. Prepare examples of how you've communicated technical concepts to non-technical stakeholders. This will demonstrate your ability to tell a story with data, which is crucial for this role.
✨Familiarise Yourself with Production Environments
Since this role focuses on production-grade ML, brush up on your experience with deploying models and working in cloud environments. Be prepared to discuss any tools or frameworks you've used to automate training pipelines and improve model performance.
✨Stay Updated on ML Trends
The field of machine learning is always evolving. Research the latest techniques and tools relevant to the role. Bring up any recent advancements you find interesting during the interview to show your enthusiasm and commitment to staying ahead in the industry.