At a Glance
- Tasks: Design and deploy cutting-edge ML solutions for real-world applications.
- Company: Specialist AI and machine learning company with a hands-on approach.
- Benefits: Competitive salary, hybrid working, and international client exposure.
- Other info: Join a practical, engineering-led culture with excellent career growth.
- Why this job: Make a real impact by turning research into operational AI models.
- Qualifications: 3+ years in data analysis and strong Python skills required.
The predicted salary is between 60750 - 74250 £ per year.
We are hiring a Data Scientist for a specialist AI and machine learning company that takes research-grade models into production for international clients in the UK, Europe and the US. This is a hands-on role. You will design, build and deploy ML solutions end to end – from exploration and experimentation through to models that are actually used.
The role
- Design and develop CV, ML and AI models (predictive, classification, recommendation and LLM-based)
- Select and optimise algorithms, including regression, tree-based methods and neural networks
- Integrate models into production environments, cloud or on-premise
- Clean data, engineer features and validate models
- Work with clients and internal teams to turn analysis into decisions
What you will need
- 3+ years in data analysis, computer vision, machine learning or statistical modelling
- Practical experience deploying ML models
- Strong Python (NumPy, pandas, scikit-learn, matplotlib, plus PyTorch or TensorFlow)
- Solid statistics and data preparation
- SQL and Git
- Comfortable working on Windows or Linux
- Fluent English for international collaboration
Useful, not essential
- LLMs or time series
- Computer Vision
- Docker, MLflow, Airflow
- AWS, GCP or Azure
- Research / R&D background
- Experience in cross-functional or international teams
What they offer
- Production AI work with real operational impact
- International client exposure
- Hybrid working – two days a week in the Manchester office
- Salary up to £65,000
- A practical, engineering-led culture
If you enjoy owning models beyond the notebook and want them used in live systems, apply with your CV or send a short note on relevant deployment work.
Data Scientist employer: Nuvion Tech
As a Senior Project Manager in Central London, you will join a forward-thinking company that prioritises employee well-being with an excellent work-life balance and generous benefits, including 30 days of annual leave and a robust pension scheme. The collaborative work culture fosters professional growth, allowing you to lead transformative technology projects while engaging with diverse teams and stakeholders, making it an ideal environment for those seeking meaningful and impactful work.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Nuvion Tech!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Scientist at Nuvion Tech.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Nuvion Tech.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist at Nuvion Tech, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Nuvion Tech, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Nuvion Tech. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Nuvion Tech
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Nuvion Tech!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
