Senior Applied Data Scientist

5 days ago

City Of London, United Kingdom dunnhumby Full time

Join to apply for the Senior Applied Data Scientist role at dunnhumby.dunnhumby is the global leader in Customer Data Science, empowering businesses to compete and thrive in a modern data‑driven economy. With deep heritage and expertise in retail – one of the world’s most competitive markets – we enable businesses worldwide to be Customer First.What We Expect From YouLead and support analytical projects across multiple clients and sectorsTranslate client briefs into structured analytical approachesApply a range of data science techniques to solve business problemsCommunicate insights clearly to both technical and non‑technical stakeholdersCollaborate with other analysts in the EMEA Hub to fill resource gaps and share expertiseProficiency in Python and SQLExperience analysing customer behaviour and deriving actionable insightsAbility to learn quickly and adapt to new challengesStrong communication and presentation skillsA degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Statistics, Physics, Engineering, Biology or related field would be advantageousExperience with PySpark is a plusExposure to retail or consumer goods analytics is beneficialWhat You Can Expect From UsWe offer a comprehensive rewards package and personal flexibility, including flexible working hours and a birthday off. You’ll benefit from investment in cutting‑edge technology and a small‑business culture that encourages play, experiment and learning.Our approach to Flexible Workingdunnhumby values and respects difference and is committed to building an inclusive culture that balances career success with personal commitments and interests outside work. If flexible options are important, please discuss agile working opportunities with your recruiter.For further information about how we collect and use your personal information, see our Privacy Notice.Seniority levelMid‑Senior levelEmployment typeFull‑timeJob functionEngineering and Information TechnologyIndustriesTechnology, Information and Media #J-18808-Ljbffr

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