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- Tasks: Develop and deploy machine-learning models while collaborating with engineers.
- Company: Join a forward-thinking company focused on digital twins and data science.
- Benefits: Enjoy flexible hybrid working, generous leave, and competitive salary with bonuses.
- Other info: Work with modern cloud technologies and enjoy excellent career growth opportunities.
- Why this job: Make a real impact by improving decision-making with cutting-edge data science.
- Qualifications: Solid experience in data science, strong Python skills, and ownership mindset.
The predicted salary is between 60000 - 80000 £ per year.
Responsibilities
- Developing and deploying machine‑learning models in production environments
- Working end‑to‑end across the data science lifecycle: problem definition, modelling, deployment and monitoring
- Analysing new and existing data sources to improve decision‑making and model performance
- Designing feedback loops that continuously improve outcomes and data quality
- Collaborating closely with engineers to deliver scalable, reliable model predictions
- Communicating technical insights clearly to non‑technical stakeholders
Qualifications
- Solid experience working as a data scientist on real‑world, production problems
- Strong Python skills (or a similar language used in applied data science)
- Experience with supervised learning and unsupervised techniques such as anomaly detection
- Exposure to cloud‑based model training, deployment and automation
- A strong sense of ownership and accountability for data science outputs
- Experience working with large consumer datasets or high‑traffic platforms is an advantage, but not essential
Technology Environment
You’ll work with modern data and analytics tooling across cloud platforms, including machine‑learning services, data pipelines and monitoring solutions. Our current ecosystem includes AWS technologies, with new development increasingly aligned to Azure.
Benefits
- Flexible hybrid working
- 25 days leave, 2 days paid for volunteering and life event leave
- Competitive salary and bonus (bonus dependent on role)
- Company pension
- Enhanced parental leave
- Healthcare options
- Wide range of flexible benefits
Location
Reading, King's Road, United Kingdom
Additional Information
We are not able to offer visa sponsorship or assist with relocation support for this role. Please ensure you have the right to work in the country where this role is located before applying.
Senior Data Scientist - Digital Twins in Reading employer: myGwork - LGBTQ+ Business Community
Contact Detail:
myGwork - LGBTQ+ Business Community Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Digital Twins in Reading
✨Tip Number 1
Network like a pro! Reach out to current employees or connections in the industry. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills. Be ready to discuss your experience with machine-learning models and how you've tackled real-world problems. We want to see your passion and expertise shine through!
✨Tip Number 3
Showcase your projects! Whether it's a GitHub repo or a portfolio, having tangible examples of your work can set you apart. We love seeing how you've applied your skills in practical scenarios.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you're genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Senior Data Scientist - Digital Twins in Reading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine-learning models and data science projects. We want to see how you've tackled real-world problems, so don’t hold back on those details!
Showcase Your Skills: When listing your skills, focus on Python and any other relevant languages you’ve used. If you’ve worked with cloud platforms like AWS or Azure, make sure to mention that too – it’s a big plus for us!
Be Clear and Concise: In your cover letter, communicate your technical insights in a way that’s easy to understand. Remember, we’re looking for someone who can bridge the gap between tech and non-tech folks, so clarity is key!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at myGwork - LGBTQ+ Business Community
✨Know Your Data Science Lifecycle
Make sure you can confidently discuss the entire data science lifecycle, from problem definition to deployment and monitoring. Be prepared to share examples of how you've tackled real-world problems and the impact your solutions had.
✨Show Off Your Python Skills
Brush up on your Python skills and be ready to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice writing clean, efficient code that showcases your understanding of machine learning techniques.
✨Communicate Like a Pro
Since you'll need to explain technical insights to non-technical stakeholders, practice simplifying complex concepts. Use relatable analogies or examples to make your points clear and engaging during the interview.
✨Collaborate and Share
Highlight your experience working with engineers and other teams. Be ready to discuss how you’ve collaborated on projects, shared feedback, and contributed to building scalable solutions. This shows your ability to work well in a team environment.