At a Glance
- Tasks: Lead impactful data science projects that drive real-world outcomes and strategic decisions.
- Company: Join a FTSE 100 company transforming data and analytics.
- Benefits: Excellent contract rates, hybrid work, and potential for extension.
- Other info: Opportunity to influence high-value business problems and drive best practices.
- Why this job: Shape the future of data science in a dynamic, enterprise-scale environment.
- Qualifications: Proven experience as a Principal Data Scientist with strong analytical skills.
The predicted salary is between 60000 - 80000 € per year.
Contract: 6-month initial contract (extension likely)
Location: Hybrid - London
Rate: Excellent contract rates
IR35 Status: Inside IR35
Overview
We're supporting a FTSE 100, enterprise-scale organisation undergoing a long-term transformation across data, analytics, and decision intelligence. As part of this programme, we're looking for a Principal/Senior Data Scientist to lead high-impact data science products that directly influence operational performance and strategic decision-making. This is a senior, hands-on role focused on real-world outcomes, not proof-of-concept work. You'll operate at the intersection of data science, engineering, and the business, shaping how advanced analytics is embedded across a complex organisation.
What You'll Be Doing
- Leading the end-to-end delivery of data science and machine learning products, from problem framing through to production and optimisation
- Tackling ambiguous, high-value business problems, translating them into structured analytical solutions
- Providing technical leadership across predictive modelling, optimisation, and decision-support use cases
- Ensuring data science solutions are production-ready, scalable, and embedded into operational processes
- Working closely with senior stakeholders to translate analytical outputs into clear, actionable decisions
- Driving best practice across model governance, ethics, engineering standards, and Agile delivery
- Influencing roadmaps and priorities, balancing pace with long-term value
What We're Looking For
- Proven experience at Principal or Lead Data Scientist level
- Strong grounding in data science, machine learning, and applied analytics in production environments
- Ability to structure complex, ill-defined problems and drive them to delivery
- Confidence communicating with and influencing senior, non-technical stakeholders
- Experience delivering industrialised data or ML products
- A pragmatic, outcome-focused mindset with a strong sense of ownership
- Coming from a consulting background (BCG, McKinsey, etc.)
- Experience in complex operational or asset-heavy environments (e.g. transport, logistics, infrastructure) is beneficial but not essential.
Data Scientist X5 in London employer: Xpertise Recruitment
Join a leading FTSE 100 organisation that champions innovation and transformation in data science and analytics. With a hybrid working model in London, you'll benefit from excellent contract rates and the opportunity to work on high-impact projects that shape strategic decision-making. Our collaborative work culture fosters professional growth, allowing you to lead cutting-edge data science initiatives while influencing key stakeholders across the business.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist X5 in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field and let them know you're on the lookout for opportunities. You never know who might have a lead or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills and real-world applications. Be ready to discuss how you've tackled complex problems and delivered impactful results in previous roles.
✨Tip Number 3
Showcase your projects! Whether it's through a portfolio or GitHub, make sure potential employers can see your work in action. Highlight the end-to-end delivery of data science products you've led.
✨Tip Number 4
Apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Data Scientist X5 in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role. Highlight your experience in leading data science projects and any relevant skills that match the job description. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Share specific examples of how you've tackled complex problems and delivered impactful results in previous positions.
Showcase Your Technical Skills:Don’t forget to highlight your technical expertise in data science and machine learning. Mention any tools or frameworks you’re proficient in, especially those that are relevant to production environments. We love seeing hands-on experience!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Xpertise Recruitment
✨Know Your Data Science Stuff
Make sure you brush up on your data science and machine learning knowledge. Be ready to discuss your past projects in detail, especially those that had a real-world impact. Prepare to explain how you tackled complex problems and the outcomes of your solutions.
✨Speak Their Language
Since you'll be working with senior stakeholders, practice translating technical jargon into business terms. Think about how your analytical outputs can drive decisions and influence operational performance. This will show that you understand both the technical and business sides of the role.
✨Showcase Your Leadership Skills
As a Principal/Senior Data Scientist, you'll need to demonstrate your ability to lead projects and teams. Prepare examples of how you've provided technical leadership in the past, particularly in delivering scalable data science products. Highlight your experience in driving best practices and influencing roadmaps.
✨Be Outcome-Focused
Emphasise your pragmatic approach to problem-solving. Discuss how you balance quick wins with long-term value in your projects. Show that you have a strong sense of ownership and are committed to delivering impactful results, which is crucial for this role.
