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Job description

dunnhumby is the world's leading customer science company. We analyse data and apply insights from nearly one billion shoppers across the globe to create personalised customer experiences in digital, mobile, and retail environments. Our strategic process, proprietary insights, and multichannel media capabilities build loyalty with customers to drive competitive advantage and sustained growth for clients. dunnhumby employs over 2,000 experts in offices throughout Europe, Asia, Africa, and the Americas and works with a prestigious group of companies including Tesco, Monoprix, Raley's, Macy's, Coca-Cola, Procter & Gamble, and PepsiCo. For more information, please visit us at www.dunnhumby.com.
dunnhumby is looking for a talented Applied Data Scientist!

You will execute projects to distil complex problems into compelling insights that resonate with clients, using the best of dunnhumby science.



What you'll be doing:

  • Build strong relationships with immediate internal contacts and direct external client to ensure full understanding of client requirements, ensuring clear and effective communication.
  • Investigate and implement the most appropriate analytical technique for each project, re-using and further developing global solutions or code written by others.
  • Deploy data science algorithms and market products on chosen tech stack for efficient and cost-effective delivery.
  • Execute projects that distil complex problems into compelling insights that resonate with clients.
  • Participate, as required, in client meetings to help explain the proposed methodology and solutions.
  • Document learnings after deploying solutions for a client to increase the existing knowledge repository.
  • Ensure smooth running of your projects, working with senior team members for direction.
  • Follow dunnhumby Quality Assurance processes, ways of working and meet coding standards.
  • Implement advice from colleagues to resolve challenges.

Who you'll get to work with:

Within dunnhumby you'll work with
  • Applied and Research Data Scientist teams
  • Client / Commercial teams
  • Global Capability teams
  • Data Science Engineering teams


Externally, you'll frequently be in contact with:
  • Senior Retail/Customer Packaged Goods Analysts and Insights contacts

What you'll need:

  • Bachelor's degree or equivalent in Computer Science, Artificial Intelligence, Machine Learning, Applied Statistics, Physics, Engineering or related field.
  • Experience with and passion for connecting your work directly to the customer experience, making a real and tangible impact.
  • Some experience with programming, and the ability to quickly pick up handling large data volumes with modern data processing tools, e.g. by using Hadoop / Spark / SQL / Python.
  • Analytical Techniques
  • Analytical Technology
  • Desk Research
  • Prototyping
  • Quality Assurance and Testing
  • Statistical Modelling
  • Programming (Python, SQL, R, ...)
  • Data Interpretation/ Insight Analysis
  • Data Visualisation
  • Insight Storytelling
  • Client relationship building and management
  • Presentation skills


  • A plus if you also have:

  • Master's degree or equivalent in in Computer Science, Artificial Intelligence, Machine Learning, Applied Statistics, Physics, Engineering or related field.
  • Programming experience on any standard data mining and modelling packages such as Python and R.
  • Learn more about dunnhumby

    Be unique. Be authentic. However you prefer to say it, we really mean it. Our culture embraces people’s diverse perspectives and creates a positive environment where everyone belongs. We’re determined to build a better, more connected world for everyone.

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