dunnhumby
Employees
1001-5000
Total Jobs
42
Last 90 days jobs
34
dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First. Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers.
With deep heritage and expertise in retail — one of the world’s most competitive markets,...
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This company description is sourced from LinkedIn.
Tech at dunnhumby
Jobs
| Data Science, Management, Agile/Scrum | |||
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data scientist
Research Data Scientist @ dunnhumby
GB | 2025-11-04
This role presents an opportunity to work with a market-leading business to apply advanced machine learning and statistical techniques to real-world business problems. The position requires a...
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Data Science, AI/ML, Computer Science, PhD, Python, Hadoop, Spark, SQL, CI/CD, Git, Management, GCP, Azure, Pandas, PyTorch, TensorFlow, DataViz, Agile/Scrum | ||
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promoted
The Fundamentals of Analytics EngineeringThe Fundamentals of Analytics Engineering gives a holistic understanding of the analytics engineering lifecycle by integrating principles from both data analysis and engineering. It's a book that teaches concepts and best practices, not just tools and technologies. |
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| Data Science, AI/ML, Management, PhD, Computer Science, Python, Hadoop, Spark, SQL, Pandas, DataViz, Agile/Scrum | |||
| Data Science, Management, Agile/Scrum | |||
| Data Science, AI/ML, Python, SQL, Agile/Scrum | |||
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data scientist
Junior Insights Delivery Consultant @ dunnhumby
GB | 2025-09-20
This role is a misrepresentation of what data engineering entails. The job description claims to be a ‘Junior Insights Delivery Consultant’ in Category Management, yet it lacks clear technical...
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Data Science, Management, AI/ML, Agile/Scrum | ||
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promoted
The Fundamentals of Analytics EngineeringThe Fundamentals of Analytics Engineering gives a holistic understanding of the analytics engineering lifecycle by integrating principles from both data analysis and engineering. It's a book that teaches concepts and best practices, not just tools and technologies. |
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| Data Science, Marketing, Funnel, Management, KPI, Agile/Scrum | |||
| Data Science, AI/ML, Computer Science, PhD, Python, Hadoop, Spark, SQL, CI/CD, Git, Management, GCP, Azure, Pandas, PyTorch, TensorFlow, DataViz, Agile/Scrum | |||
| Data Science, AI/ML, Management, PhD, Computer Science, Python, Hadoop, Spark, SQL, Pandas, DataViz, Agile/Scrum | |||
| Data Science, AI/ML, Python, SQL, PySpark, Agile/Scrum | |||
| Data Science, Amazon RDS, Agile/Scrum | |||
| Data Science, AI/ML, Python, SQL, Agile/Scrum |
