dunnhumby - Senior Applied Data Scientist
Requirements
• 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 • Proven experience in statistical modelling and applying data science solutions to real client problems • A passion for connecting technical work to real customer outcomes, delivering clear and measurable impact • Effective stakeholder management and the ability to build trusted relationships across teams • Project Management and/or Team Leadership experience • Background in retail analytics (especially exposure to Category Management) is advantageous • What you can expect from us • We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. • You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. • And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. • Our approach to Flexible Working • At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. • We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. • For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here) • (here)
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