At a Glance
- Tasks: Lead AI projects, mentor a team, and deliver impactful data science solutions.
- Company: Fast-scaling AI consultancy known for technical excellence and real-world impact.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Join a collaborative team focused on innovation and strategic value creation.
- Why this job: Shape the future of AI in regulated industries and solve complex problems.
- Qualifications: Strong Python skills and experience in machine learning across various sectors.
The predicted salary is between 43200 - 72000 € per year.
This is a leadership opportunity at a fast‐scaling AI consultancy known for its technical excellence and track record in delivering real‐world impact across highly regulated industries. The team helps major clients in finance, insurance, legal, and other sectors apply cutting‐edge data science in complex operational environments, balancing innovation with reliability and rigor.
You will join a deeply technical, collaborative group working on custom AI and machine learning solutions that support automation, forecasting, and decision intelligence. The focus is on strategic value creation: solving ambiguous problems with clarity, and delivering tools that embed into the heart of client systems.
What You Will Be Doing
- Set the technical direction on multi‐disciplinary data science & AI projects, from approach selection to architecture design.
- Take ownership of full solution pipelines, leading hands‐on development and supporting others to do the same.
- Work closely with senior client stakeholders to shape project scope, track value delivery, and communicate findings.
- Oversee a small team of data scientists on each project, supporting mentorship, quality control, and technical review.
- Collaborate with commercial and delivery teams to shape proposals and ensure feasibility of engagements.
- Contribute to internal capability‐building by sharing knowledge, tools, and best practices within the wider team.
What They Are Looking For
- Led the delivery of applied machine learning projects, ideally across commercial or regulated sectors.
- Strong Python skills and comfort using core libraries (e.g. NumPy, Pandas), plus familiarity with deep learning tooling like PyTorch.
- Expertise in a wide range of ML methods, including supervised and unsupervised learning, time series, NLP, and LLM/GenAI projects.
- Ability to scope and structure solutions around ambiguous business problems, turning them into tractable pipelines.
- Confident in managing small technical teams, reviewing work, and setting standards for robustness and clarity.
- Experience with stakeholder engagement and translating outputs for non‐technical audiences.
If this role interests you and you would like to find out more (or find out about other roles), please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).
Location: London, England, United Kingdom
Principal Data Scientist in London employer: Xcede
Join a leading AI consultancy in London that champions technical excellence and innovation, offering a collaborative work culture where your expertise as a Principal Data Scientist will directly impact major clients across finance, insurance, and legal sectors. With a strong focus on employee growth, mentorship, and the opportunity to lead cutting-edge projects, you'll thrive in an environment that values clarity, creativity, and strategic value creation.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Principal Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving machine learning and AI. We want to see how you tackle complex problems and deliver real-world solutions, so make sure your work shines!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. We recommend practising common data science scenarios and being ready to discuss how you’ve led teams and managed projects. Confidence is key!
✨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 hearing from passionate candidates who are eager to join our collaborative team.
We think you need these skills to ace Principal Data Scientist in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Principal Data Scientist role. Highlight your leadership in data science projects and any relevant technical expertise, especially in Python and machine learning.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've tackled ambiguous problems and delivered impactful solutions in previous positions.
Showcase Your Technical Skills:Don’t shy away from detailing your technical prowess! Mention your experience with core libraries like NumPy and Pandas, and any familiarity with deep learning tools. We want to see your hands-on experience shine through.
Engage with Us:If you have questions or need clarification about the role, feel free to reach out! We love engaging with potential candidates, so don’t hesitate to drop us a line through our website or via email.
How to prepare for a job interview at Xcede
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and the core libraries like NumPy and Pandas. Brush up on your knowledge of machine learning methods, especially those relevant to the role, such as supervised and unsupervised learning. Being able to discuss these confidently will show that you’re not just familiar with the tools, but you can also lead projects effectively.
✨Showcase Your Leadership Skills
Since this is a leadership position, be prepared to discuss your experience managing teams and mentoring others. Think of specific examples where you’ve led a project or guided a team through challenges. This will demonstrate your ability to oversee a small team of data scientists and ensure quality control.
✨Prepare for Stakeholder Engagement
You’ll need to communicate complex technical concepts to non-technical stakeholders. Practice explaining your past projects in simple terms, focusing on the value delivered. This will help you convey your findings clearly and show that you can bridge the gap between technical and commercial teams.
✨Emphasise Problem-Solving Skills
Be ready to discuss how you approach ambiguous business problems and turn them into structured solutions. Prepare examples of past projects where you’ve successfully scoped and structured solutions, highlighting your strategic thinking and clarity in execution. This will align perfectly with the role’s focus on delivering impactful AI solutions.
