Senior Applied Data Scientist

<div class="content-intro"><p>dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers. </p> <p><span style="color: #242424;">dunnhumby</span><span style="color: #242424;"> employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, </span>Nestlé, Unilever<span style="color: #242424;"> and Metro.</span></p> <p style="margin: 0in;"> </p></div><p>We’re looking for a <strong>Senior Applied Data Scientist</strong> 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.</p> <p> </p> <p>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.</p> <p><br>Our team works closely with Tesco 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.</p> <p><strong> </strong></p> <p><strong>What we expect from you </strong></p> <ul> <li>Degree in Statistics, Mathematics, Physics, Economics, or a related quantitative field</li> <li>Strong programming skills — Python and SQL are essential; PySpark experience is highly advantageous</li> <li>Experience with version control tools (e.g. GIT)</li> <li>Solid understanding of analytical technologies, tools, and techniques</li> <li>Excellent logical thinking and problem‑solving abilities</li> <li>Strong communication skills, with the ability to explain complex concepts clearly to non‑technical audiences</li> <li>Proven experience in statistical modelling and applying data science solutions to real client problems</li> <li>A passion for connecting technical work to real customer outcomes, delivering clear and measura