Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and deploy machine learning models to enhance supply chain efficiency and productivity.
- Company: A forward-thinking business investing in data science for smarter decision-making.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact by turning complex data into actionable insights.
- Qualifications: 5+ years in data science, strong ML model experience, and excellent communication skills.
- Other info: Join a dynamic team with mentorship opportunities and explore emerging technologies.
The predicted salary is between 36000 - 60000 £ per year.
We're working with a business that's investing heavily in data science to drive smarter, faster decision-making across its supply chain. They're looking for a Senior Data Scientist to design and deploy machine learning models that have a clear, measurable impact on efficiency, productivity and cost. This role sits at the intersection of data, engineering and the business. You'll work closely with data engineers, product teams and senior stakeholders to turn complex data into practical solutions that actually get used.
What you’ll be doing:
- Design, build and deploy machine learning and advanced analytics models focused on supply chain use cases
- Work with large, complex datasets from multiple internal and external sources
- Partner with Data Engineering on data quality, pipelines and production-ready models
- Validate, monitor and continuously improve deployed models to ensure reliability and performance
- Translate technical outputs into clear insights and recommendations for non-technical stakeholders
- Support prioritisation and delivery of data science workstreams
- Build business cases by quantifying impact on supply chain KPIs and financial outcomes
- Mentor and guide junior data scientists, promoting best practice across the team
- Explore and apply emerging technologies, including generative AI, where they add real value
What they’re looking for:
- Minimum 5 years’ experience in data science or applied machine learning
- Strong hands-on experience building and deploying ML models in production
- Solid understanding of MLOps and model lifecycle management
- Experience working closely with engineers and business stakeholders
- Ability to communicate complex ideas clearly and pragmatically
- Supply chain experience is a big plus, but not essential
To be considered, please respond with your latest CV.
Senior Data Scientist in England employer: Our Client
Contact Detail:
Our Client Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field and let them know you're on the lookout for opportunities. You never know who might have a lead or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning models and analytics projects. This will give potential employers a taste of what you can do and how you can add value to their supply chain.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with MLOps and how you've collaborated with engineers and stakeholders to deliver impactful solutions.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests, so take advantage of it and get your application in!
We think you need these skills to ace Senior 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 your skills align with the role, so don’t be shy about showcasing relevant projects and achievements!
Showcase Your Impact: When detailing your past roles, focus on the measurable impact you’ve had. We love seeing quantifiable results, especially those that relate to efficiency and productivity in supply chains.
Keep It Clear and Concise: Remember, we’re looking for clarity! Use straightforward language to explain complex concepts. This will help us understand your thought process and how you communicate with non-technical stakeholders.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves.
How to prepare for a job interview at Our Client
✨Know Your Models Inside Out
Make sure you can discuss the machine learning models you've built and deployed in detail. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This will show your depth of knowledge and hands-on experience.
✨Speak Their Language
Since you'll be working with non-technical stakeholders, practice translating complex data science concepts into simple, relatable terms. Prepare examples of how your work has directly impacted efficiency or cost savings in previous roles.
✨Showcase Collaboration Skills
Highlight your experience working with data engineers and product teams. Be prepared to discuss specific projects where collaboration led to successful outcomes. This will demonstrate your ability to work at the intersection of data, engineering, and business.
✨Stay Ahead of the Curve
Familiarise yourself with emerging technologies like generative AI and think about how they could add value to supply chain processes. Bring these ideas to the table during your interview to show that you're forward-thinking and innovative.
