Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead data science projects that enhance revenue and customer experience for top retail brands.
- Company: A leading UK consultancy focused on AI & Data Science solutions.
- Benefits: Competitive salary, hands-on experience, and the chance to work with major clients.
- Why this job: Make a real impact by solving complex challenges in a dynamic environment.
- Qualifications: 3-10+ years of experience in data science and strong leadership skills.
- Other info: Collaborative culture with opportunities for professional growth and innovation.
The predicted salary is between 64000 - 105000 £ per year.
Do you want to build data science solutions that directly impact revenue and customer experience? Would you enjoy solving pricing, supply chain, and layout optimisation challenges for household brands? Are you excited by the idea of embedding onsite with enterprise clients to drive measurable results?
A leading UK consultancy is scaling its AI & Data Science capability to deliver high-impact solutions for major retailers and consumer brands. Their embedded consulting model means data scientists work closely with end users to co-design tools that directly affect business performance. The team has delivered pricing optimisation systems, cost modelling platforms, and store analytics tools for global retailers - blending commercial strategy with hands-on ML and engineering.
You’ll lead technical delivery of solutions that touch everything from supplier negotiations to customer experience design. Expect to work in cross-functional teams with direct access to client data, stakeholders, and decision-makers - owning projects from idea to value.
They’re hiring at Lead (3–5 years) and Principal (5–10+ years) levels.
Key Responsibilities- Build and deploy ML tools for pricing, operations, and layout optimisation
- Translate commercial priorities into robust, data-driven solutions
- Partner with client stakeholders to iterate and embed ML in decision workflows
- Lead multi-disciplinary delivery teams to deliver measurable impact
- Salary: £80,000 – £150,000
- Working model: On-site 3+ days/week with retail and consumer clients UK-wide
- Tech stack: Python, MLflow, Databricks, Docker, Azure, simulation frameworks
- Visa: This role cannot sponsor
If you’re interested, please apply below.
Lead Data Scientist (Retail/Consumer) - Onsite UK Clients - Harnham in London employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist (Retail/Consumer) - Onsite UK Clients - Harnham 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 dream job.
✨Tip Number 2
Prepare for those interviews! Research the company and its projects, especially in retail and consumer sectors. We want you to be able to discuss how your skills in ML and data science can directly impact their business performance.
✨Tip Number 3
Showcase your projects! Whether it's through a portfolio or GitHub, let us see your hands-on experience with Python, ML tools, and any relevant frameworks. This is your chance to demonstrate how you can build solutions that drive measurable results.
✨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’re always looking for passionate individuals ready to tackle challenges in the data science space.
We think you need these skills to ace Lead Data Scientist (Retail/Consumer) - Onsite UK Clients - Harnham in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience with ML tools and any relevant projects that showcase your ability to solve pricing and optimisation challenges. We want to see how you can bring value to our clients!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about the role and how your skills align with our mission. Don’t forget to mention your experience working in cross-functional teams and your passion for data-driven solutions.
Showcase Your Technical Skills: Since we’re looking for someone with a solid tech background, make sure to list your proficiency in Python, MLflow, and other tools mentioned in the job description. We love seeing real examples of how you've used these technologies to drive results!
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. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Jobster
✨Know Your Tech Stack
Familiarise yourself with the tools mentioned in the job description, like Python, MLflow, and Azure. Be ready to discuss your experience with these technologies and how you've used them to solve real-world problems.
✨Understand the Business Impact
Prepare to talk about how your data science solutions have directly influenced revenue or customer experience in past roles. Think of specific examples where your work led to measurable results, especially in retail or consumer sectors.
✨Showcase Collaboration Skills
Since this role involves working closely with client stakeholders, be ready to share experiences where you successfully collaborated with cross-functional teams. Highlight how you’ve co-designed tools or solutions that met business needs.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current projects or challenges they face in pricing and supply chain optimisation. This shows your genuine interest in the role and helps you understand how you can contribute effectively.
