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- Tasks: Shape products and solve real problems with hands-on data science.
- Company: Fast-growing tech company focused on advanced technology and complex systems.
- Benefits: Up to £85,000 salary, fully remote work, and great benefits.
- Other info: Join a dynamic team where your contributions are valued and visible.
- Why this job: Make a real impact with your data science expertise in a supportive environment.
- Qualifications: Strong Python or R skills, experience with ML frameworks, and a quantitative degree.
The predicted salary is between 43200 - 72000 £ per year.
Want your models to ship, your ideas to shape products, and your work to solve real, high impact problems? If you’re craving a role where your data science expertise genuinely changes how products are built and decisions are made… this is it.
We’re partnered with a fast‑growing technology company that applies cutting edge data science to large scale, highly complex real world environments. This isn’t a role where your work gathers dust in a slide deck, this is hands on, production focused data science at the heart of the organisation’s core technology. You’ll join a small, experienced team where your contributions have direct, visible impact. Expect autonomy, influence, and the chance to push your technical boundaries daily.
What You’ll Be DoingYou’ll work across the full data science lifecycle; shaping problems, exploring data, experimenting with models, and deploying real solutions that drive real outcomes.
- Building and deploying machine learning models used directly in live products (e.g., anomaly detection, forecasting, clustering, recommendation)
- Working hands-on with large, messy, real-world datasets and time series data
- Designing and maintaining clean, scalable Python data pipelines
- Applying statistical thinking, rigorous experimentation, and optimisation
- Collaborating seamlessly with engineering and product to take ideas end‑to‑end
- Communicating insights clearly and transparently, no black‑box science
If you love seeing your models in production and solving problems with measurable results, you’ll thrive here.
What We’re Looking ForYou don’t need to tick every box, but you should recognise yourself in most of these:
- Strong skills in Python or R
- Experience with ML frameworks such as Scikit‑learn, TensorFlow, PyTorch
- A solid understanding of machine learning, statistics, and modelling best practice
- Competence with SQL and real‑world, imperfect data
- Experience or interest in time series analysis and forecasting
- Familiarity with modern dev practices: Git, Docker, CI/CD, data pipelines
- A mindset built around ownership, robustness, and production‑quality output
Master’s or PhD in a quantitative field such as: Data Science, Physics, Mathematics, Engineering, Computer Science, or similar.
Why Join?If you want a role where you’re trusted, challenged, and supported, this delivers:
- Competitive salary up to £85,000 + great benefits
- Fully remote working anywhere in the UK
- Work on genuinely complex, meaningful problems with real-world impact
- Learn from and collaborate with a highly experienced Lead Data Scientist and top tier engineers
- A modern technology stack and engineering culture designed for quality, velocity, and clarity
- A growing company where your voice is heard and your work truly matters
- Autonomy, influence, and the chance to continually sharpen your craft
This is the perfect fit for someone who wants to move fast, think deeply, and build things that matter.
Interested? Apply now for a fantastic opportunity. Please note: Applicants must have full right to work in the UK. Sponsorship is not available.
Data Scientist employer: HireQ Talent
Contact Detail:
HireQ Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really set you apart.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. Mock interviews with friends or mentors can help you articulate your thought process and technical skills clearly.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals like you. Keep an eye on our listings and make sure your application stands out by tailoring it to the role.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Show Your Passion for Data Science: When writing your application, let your enthusiasm for data science shine through! Share specific examples of projects or models you've worked on that had a real impact. We love seeing candidates who are genuinely excited about solving complex problems.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Data Scientist role. Highlight relevant skills like Python, machine learning frameworks, and your experience with messy datasets. We want to see how your unique background fits into our team!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your experiences and achievements. We appreciate transparency and clarity, so avoid jargon and make it easy for us to understand your contributions.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at HireQ Talent
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially around machine learning models and statistical methods. Be ready to discuss your experience with Python or R, and any frameworks like Scikit-learn or TensorFlow that you've used in real projects.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific problems you've solved using data science. Think of examples where your models had a tangible impact. This role is all about applying your skills to real-world issues, so highlight your hands-on experience with messy datasets and time series analysis.
✨Communicate Clearly
Since the job requires clear communication of insights, practice explaining complex concepts in simple terms. You might be asked to present a past project, so ensure you can articulate your thought process and the outcomes effectively without resorting to jargon.
✨Familiarise Yourself with Modern Practices
Get comfortable discussing modern development practices like Git, Docker, and CI/CD. The company values production-quality output, so be prepared to explain how you ensure robustness and scalability in your data pipelines.