At a Glance
- Tasks: Lead a data science team to develop ML models for pricing and personalisation.
- Company: Established consumer brand with a focus on digital loyalty and rewards.
- Benefits: Competitive salary, hybrid working, and a completion bonus.
- Other info: 11-month contract with excellent career growth opportunities.
- Why this job: Shape the future of pricing and customer experiences in a high-profile role.
- Qualifications: Experience in revenue management, machine learning, and leading data scientists.
The predicted salary is between 95000 - 105000 £ per year.
An established, consumer‑facing brand is hiring a Lead Data Scientist for an 11‑month maternity cover. This is a rare chance to shape the future of pricing, revenue optimisation and personalisation across a high‑profile digital loyalty and rewards business.
The opportunity
You’ll lead a small, ambitious data science team, owning the design and delivery of machine learning and optimisation models that drive dynamic pricing, customer intelligence and personalised experiences. You will be the day‑to‑day technical authority, partnering closely with Product, Revenue Management, Pricing and Engineering to take models from idea to production and measure real‑world impact.
What you’ll do
- Lead the design, development and deployment of ML and AI‑powered data products for pricing and revenue.
- Act as technical lead across modelling work, championing rigour, robustness and reliability.
- Guide customer intelligence and personalisation models, including recommender systems.
- Work with Product, Delivery and ML Engineering to productionise models and monitor performance.
- Mentor and support data scientists, fostering curiosity, learning and technical excellence.
- Promote a data‑driven culture through experimentation, storytelling and clear communication.
What you’ll bring
- Proven experience implementing or optimising revenue management systems and pricing strategies.
- Strong background in optimisation and machine learning (time‑series forecasting, regression, mathematical optimisation).
- Experience leading or managing data scientists on impactful ML / optimisation projects.
- Excellent Python and SQL skills, with clean, maintainable code.
- Practical MLOps experience (deployment, monitoring, lifecycle management) in a cloud environment (AWS or similar).
- Comfortable working with large, imperfect datasets and making sound, pragmatic decisions.
- Familiarity with recommender systems, personalisation or generative AI is a plus.
Contract & package
11‑month fixed‑term contract (maternity cover). Hybrid working – typically 1 day per week in the London office. £95,000‑£105,000 per annum, plus up to 20% completion bonus. Target start date: January 2026. Rates depend on experience and client requirements.
Lead Data Scientist in London employer: Salt Digital Recruitment
Join a leading consumer-facing brand as a Lead Data Scientist, where you'll have the unique opportunity to shape pricing and personalisation strategies in a dynamic and innovative environment. With a strong emphasis on employee growth, you will lead a talented team while enjoying a hybrid work model that promotes work-life balance. The company fosters a collaborative culture that values data-driven decision-making and offers competitive compensation, including a completion bonus, making it an excellent employer for those seeking meaningful and rewarding work in London.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews! Research the company, understand their products, and be ready to discuss how your skills in machine learning and optimisation can make a real impact. We want you to shine and show them why you’re the perfect fit!
✨Tip Number 3
Showcase your projects! Whether it’s through a portfolio or GitHub, let your work speak for itself. We love seeing practical examples of your coding skills and how you’ve tackled real-world problems with data science.
✨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. We’re excited to see what you bring to the table, so don’t hold back!
We think you need these skills to ace Lead Data Scientist in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your experience with machine learning, optimisation, and any relevant projects you've led. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about pricing and personalisation. Share specific examples of how you've driven impact in previous roles, especially in data science.
Showcase Your Technical Skills:Don’t hold back on your Python and SQL skills! Include examples of clean, maintainable code you've written or projects where you’ve implemented MLOps. We love seeing practical applications of your expertise.
Apply Through Our Website:We encourage you to apply through our website for a smoother 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 Salt Digital Recruitment
✨Know Your Stuff
Make sure you brush up on your machine learning and optimisation knowledge. Be ready to discuss specific models you've worked on, especially in pricing and revenue management. This is your chance to showcase your technical expertise!
✨Showcase Leadership Skills
Since you'll be leading a team, it's crucial to demonstrate your leadership experience. Prepare examples of how you've mentored data scientists or led projects. Highlight your ability to foster a data-driven culture and encourage curiosity within your team.
✨Be Ready for Technical Questions
Expect some deep dives into Python, SQL, and MLOps. Brush up on your coding skills and be prepared to solve problems on the spot. Practising coding challenges can help you feel more confident during this part of the interview.
✨Communicate Clearly
You’ll need to partner with various teams, so clear communication is key. Practice explaining complex concepts in simple terms. Use storytelling to illustrate how your work has made a real-world impact, especially in personalisation and customer intelligence.
