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- Tasks: Lead the development of data science solutions that enhance revenue and customer experience.
- Company: A leading UK consultancy focused on AI & Data Science for major retailers.
- Benefits: Competitive salary, hands-on experience, and the chance to work with top brands.
- Why this job: Make a real impact by solving challenges for household names in retail.
- Qualifications: 3-5 years of experience in data science and strong leadership skills.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 64000 - 96000 £ 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 employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist (Retail/Consumer) - Onsite UK Clients
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those related to retail and consumer challenges. This will not only demonstrate your expertise but also give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common data science scenarios. Think about how you'd tackle real-world problems like pricing optimisation or supply chain issues. Being able to discuss these topics confidently will impress your interviewers.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team and ready to make an impact.
We think you need these skills to ace Lead Data Scientist (Retail/Consumer) - Onsite UK Clients
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 real-world problems in retail or consumer sectors.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about this role. Share specific examples of how you've driven measurable impact in previous positions, especially in areas like pricing optimisation or supply chain challenges.
Showcase Your Technical Skills: Don’t forget to mention your proficiency with the tech stack listed in the job description. If you’ve worked with Python, MLflow, or Azure, make it clear! We want to see how you can hit the ground running.
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!
How to prepare for a job interview at Harnham
✨Know Your Data Science Stuff
Make sure you brush up on your machine learning concepts and tools, especially Python, MLflow, and Azure. Be ready to discuss how you've used these in past projects, particularly in retail or consumer settings.
✨Understand the Business Impact
Get familiar with how data science solutions can drive revenue and enhance customer experience. Think of specific examples where your work has led to measurable results, and be prepared to share these during the interview.
✨Showcase Your Collaboration Skills
Since this role involves working closely with client stakeholders, highlight your experience in cross-functional teams. Share stories that demonstrate your ability to partner with others and iterate on solutions based on feedback.
✨Prepare for Technical Challenges
Expect some technical questions or case studies during the interview. Practice explaining your thought process when solving problems related to pricing optimisation or supply chain challenges, as this will showcase your analytical skills.
