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Our client is a customer data science company.
Senior Applied Data Scientist
London | Full-time | Hybrid
About our client
Our client is the global leader in Customer Data Science, helping the world's most ambitious retailers and brands put the customer at the heart of every decision. With nearly 3,000 experts across Europe, Asia, Africa and the Americas, we partner with iconic businesses like a major UK retailer, Coca-Cola, Meijer, Procter & Gamble and Metro to turn data into growth, innovation and measurable value for their customers.
Applied Data Science
Our Applied Data Science team turns our client's analytical capability into real commercial impact for our clients. Working directly with retailers and brands, we design and deliver the models, algorithms and insights that answer the hardest questions in retail — from personalisation and basket analysis to pricing, promotions and customer loyalty. Every insight we produce is grounded in real customer data and built to make a measurable difference.
About the Role
We're looking for a Senior Applied Data Scientist who expects more from their career. This is an opportunity to apply your expertise to distil complex problems into meaningful, actionable insights -leveraging world-first science, cutting-edge machine learning techniques and human creativity to deliver impactful solutions for clients.
Joining our advanced data science team, you'll be responsible for the ongoing implementation, support and development of complex models and applications, working alongside exceptionally talented colleagues who are challenging and rewriting the rules rather than simply following them.
Our team works closely with a major UK retailer to solve some of the most interesting and challenging problems in the category management space. We work collaboratively with our client leadership team and with our clients, to build solutions that are re-usable, scalable and deliver measurable value. You'll drive change, shape innovative solutions, and actively redefine how organizations harness data.
What We're Looking For
- Degree in Statistics, Mathematics, Physics, Economics, or a related quantitative field.
- Strong programming skills — Python and SQL are essential; PySpark experience is highly advantageous.
- Experience with version control tools (e.g. GIT).
- Solid understanding of analytical technologies, tools, and techniques.
- Excellent logical thinking and problem-solving abilities.
- Strong communication skills, with the ability to explain complex concepts clearly to non-technical audiences. xsabvtc
- Proven experience in statistical modelling and applying data science solutions to real client problems.
- A passion for connecting techni
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