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This role is for a Senior Applied Data Scientist on a 12-month fixed-term contract, offering a pay rate of "unknown". The position is hybrid and requires strong Python and SQL skills, statistical modeling experience, and a degree in a quantitative field.
London, England, United Kingdom (Hybrid)
#Agile #ML #PySpark #Python #Leadership #Programming #SQL #DataScience #Spark #Statistics #Scala #Mathematics #ETL
About Dunnhumby Ltd
Dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands. The team works collaboratively with client leadership to turn complex customer data into actionable insights.
Key Responsibilities
Investigate, develop, implement, and deploy sophisticated applications and components as part of the advanced data science team. Work closely with client leadership teams, answer questions, and build solutions that are reusable and scalable.
What We Expect From You
* A degree in Statistics, Mathematics, Physics, Economics, or a related quantitative field
* Strong programming skills – Python and SQL are essential; PySpark experience is highly advantageous
* Solid understanding of analytical technologies, tools, and techniques
* 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
* Excellent logical thinking and problem‑solving abilities
* Strong communication skills, with the ability to explain complex concepts clearly to non‑technical audiences
* Effective stakeholder management and the ability to build trusted relationships across teams
What You Can Expect From Us
We offer a comprehensive rewards package, personal flexibility, thoughtful perks such as flexible working hours and birthday off, as well as investment in cutting‑edge technology. Our culture supports diversity and inclusion through several dedicated networks, and we encourage a healthy work‑life balance. We are open to discussing agile working opportunities.
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