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- Tasks: Develop and deploy machine-learning models while collaborating with engineers.
- Company: Join a forward-thinking company focused on innovative data solutions.
- Benefits: Enjoy flexible hybrid working, generous leave, and competitive salary.
- Other info: Work in a dynamic environment with opportunities for growth.
- Why this job: Make an impact by improving decision-making with cutting-edge data science.
- Qualifications: Experience in data science, strong Python skills, and cloud exposure.
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 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
✨Tip Number 1
Network like a pro! Reach out to current employees at the company or in similar roles on LinkedIn. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your best projects, especially those involving machine learning and data analysis. This will help you demonstrate your expertise during interviews.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms to get comfortable discussing your experience and technical knowledge. The more you practice, the more confident you'll feel.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Scientist - Digital Twins
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your solid experience in data science and your strong Python skills. We want to see how you've tackled real-world problems, so share specific examples that showcase your expertise!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to match the job description. We love seeing how your experience aligns with our needs, especially in areas like machine learning and cloud-based solutions.
Be Clear and Concise: When communicating your technical insights, remember to keep it clear and concise. We appreciate straightforward explanations that even non-technical folks can understand. Show us you can bridge that gap!
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’s super easy to do!
How to prepare for a job interview at myGwork - LGBTQ+ Business Community
✨Know Your Data Science Stuff
Make sure you brush up on your machine-learning models and the data science lifecycle. Be ready to discuss your experience with real-world problems, especially how you've tackled challenges in production environments.
✨Show Off Your Python Skills
Since strong Python skills are a must, prepare 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 applied data science.
✨Communicate Like a Pro
You’ll need to explain complex technical insights to non-technical stakeholders. Practice simplifying your explanations and using relatable examples to ensure everyone understands your points clearly.
✨Collaborate and Connect
Highlight your teamwork skills, especially your experience working closely with engineers. Be prepared to discuss how you’ve collaborated on projects to deliver scalable and reliable model predictions, as this is key for success in this role.