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 collaborate with senior stakeholders.
- 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 employer: Xpertise Recruitment
Join a leading FTSE 100 organisation that champions innovation and transformation in data 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
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, especially those who work in similar industries. A friendly chat can lead to insider info about job openings or even referrals that could give you an edge.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects and case studies. This is your chance to demonstrate how you've tackled complex problems and delivered real-world outcomes, just like what the role demands.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've influenced decision-making with your analytical outputs and how you can drive best practices in a team setting.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged with our platform.
We think you need these skills to ace Data Scientist X5
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of a Senior Data Scientist. Highlight your experience with data science, machine learning, and any relevant projects that showcase your ability to tackle complex problems. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to our team. Be sure to mention any experience you have in leading data science products and working with senior stakeholders.
Showcase Real-World Impact:When detailing your past experiences, focus on the real-world outcomes of your work. We love to see how your contributions have influenced operational performance or strategic decision-making. Numbers and specific examples can really make your application stand out!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you're keen on joining the StudySmarter family!
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 specific projects you've worked on, especially those that had a real impact. Prepare to explain your thought process in tackling complex problems and how you delivered solutions.
✨Speak Their Language
Since you'll be working with senior stakeholders, practice translating technical jargon into business language. Think about how your analytical outputs can drive decisions and influence strategy. Being able to communicate effectively with non-technical folks is key!
✨Showcase Your Leadership Skills
This role requires technical leadership, so be prepared to share examples of how you've led teams or projects in the past. Highlight your experience in guiding others through the delivery of data science products and how you ensured best practices were followed.
✨Be Outcome-Focused
Demonstrate your pragmatic mindset by discussing how you've balanced speed with long-term value in previous roles. Share specific instances where your work directly influenced operational performance or strategic decision-making, showing that you understand the importance of real-world outcomes.
