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- Tasks: Lead a team to build and refine AI systems from ideation to deployment.
- Company: Join a rapidly expanding European tech company focused on making AI accessible for businesses.
- Benefits: Enjoy a culture of experimentation, remote collaboration, and opportunities for growth.
- Why this job: Influence cutting-edge AI solutions and be part of a mission-driven team shaping the future.
- Qualifications: Deep understanding of data science, machine learning, Python, SQL, and cloud ecosystems required.
- Other info: Ideal for those who thrive in a fast-paced, innovative environment.
The predicted salary is between 43200 - 72000 £ per year.
Innovation doesn’t happen by playing it safe; it comes from bold thinking, constant curiosity, and a willingness to challenge how things have always been done. That’s exactly the mindset this rapidly expanding European tech company is looking for in its next Principal Data Scientist.
As they continue to scale off the back of real success, their mission is clear: make AI more accessible and impactful for businesses everywhere. Their intelligent products help organisations tap into the power of data to drive smarter decisions, uncover hidden opportunities, and transform operations, and you’ll play a key role in making that happen.
In this role, you’ll be responsible for leading a talented team of data scientists and ML engineers, helping to architect, build, and refine intelligent systems from the ground up.
Guiding them through the entire AI product lifecycle, from ideation and experimentation to production deployment and performance monitoring. Setting high standards while creating space to learn and grow through trial and iteration.
You’ll bring a deep understanding of modern data science and machine learning techniques and know when to apply the right tools, whether that’s deep learning, statistical modelling, or classical ML methods. Your toolkit includes Python, SQL, and you're comfortable working in a cloud-first (AWS) ecosystem. Experience with object-oriented programming and packaging is important, as is a mindset geared toward scalable, clean, and reproducible code.
You'll lead multiple cross-functional projects, oversee resource planning, and ensure your team is both productive and inspired. Whether it’s brainstorming new ideas in person or collaborating remotely, you’ll be part of a culture that encourages experimentation, iteration, and creative freedom.
If you're looking for a role where your leadership can directly influence cutting-edge AI solutions, and you like the sound of failing fast, fixing faster, and learning even faster, we'd love to hear from you.
This is your chance to join a mission-driven team using data science to shape the future, today.
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Principal Data Scientist (London) employer: LinuxRecruit
Contact Detail:
LinuxRecruit Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Scientist (London)
✨Tip Number 1
Showcase your leadership skills by discussing any previous experience where you led a team or project. Highlight how you inspired your team to innovate and achieve results, as this role requires guiding a talented group of data scientists.
✨Tip Number 2
Familiarise yourself with the latest trends in AI and machine learning. Being able to discuss recent advancements or case studies during your interview will demonstrate your passion and knowledge in the field, which is crucial for this position.
✨Tip Number 3
Prepare to discuss your experience with cloud technologies, particularly AWS. Be ready to explain how you've used cloud services to enhance data science projects, as this is a key aspect of the role.
✨Tip Number 4
Think about examples where you've implemented scalable and reproducible code. Be prepared to share specific instances where your coding practices improved project outcomes, as this aligns with the expectations for clean coding in this role.
We think you need these skills to ace Principal Data Scientist (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science and machine learning. Emphasise your leadership skills and any projects where you've led a team or influenced AI solutions.
Craft a Compelling Cover Letter: In your cover letter, express your passion for innovation and how your mindset aligns with the company's mission. Mention specific examples of how you've challenged the status quo in previous roles.
Showcase Technical Skills: Clearly outline your proficiency in Python, SQL, and cloud technologies like AWS. Provide examples of how you've applied these skills in real-world scenarios, particularly in building intelligent systems.
Highlight Team Leadership Experience: Discuss your experience in leading cross-functional teams and managing projects. Share how you fostered a culture of experimentation and learning within your team to drive successful outcomes.
How to prepare for a job interview at LinuxRecruit
✨Showcase Your Leadership Skills
As a Principal Data Scientist, you'll be leading a team. Be prepared to discuss your leadership style and how you've successfully guided teams in the past. Share specific examples of projects where you inspired your team to innovate and achieve results.
✨Demonstrate Technical Proficiency
Make sure to highlight your expertise in Python, SQL, and cloud technologies like AWS. Be ready to discuss your experience with various data science techniques, including deep learning and statistical modelling, and how you've applied them in real-world scenarios.
✨Emphasise a Growth Mindset
This company values experimentation and learning from failures. Prepare to talk about times when you faced challenges in projects, how you approached them, and what you learned from those experiences. Show that you're not afraid to take risks and iterate on ideas.
✨Prepare for Collaborative Scenarios
Since the role involves cross-functional projects, think of examples where you've successfully collaborated with other teams. Discuss how you communicate complex data concepts to non-technical stakeholders and how you ensure everyone is aligned towards common goals.
