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12 Weeks ago

Applied Data Scientist

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Overview

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, with a deluge of multi-dimensional data – dunnhumby today enables businesses all over the world, across industries, to be Customer First.

dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Meijer, Procter & Gamble and Metro.

We're looking for an Applied Data Scientist who expects more from their career:

It's a chance to apply your expertise to distil complex problems into compelling insights using the best of data analytics and human creativity to deliver effective and impactful solutions for clients. Joining our advanced data science team, you'll investigate, develop, implement and deploy a range of complex applications and components while working alongside super-smart colleagues challenging and rewriting the rules, not just following them.

You will help optimize our client's marketing campaigns, provide actionable insights, and improve personalization strategies. The ideal candidate should have the ability to prototype solutions to facilitate development and testing of algorithms on large data sets. You will be developing innovative and efficient products, services and solutions based on state-of-the-art technology.

What We Expect From You

  • 2- 4 years of relevant experience
  • Programming skills (Python, SQL are a must have)
  • Degree in Statistics, Maths, Physics, Economics or similar field.
  • Comfortable handling and pre-processing large datasets and using Pyspark.
  • Statistical modeling, predictive modelling, and the application of machine learning algorithms and data science in client problems.
  • Knowledge of frameworks such as TensorFlow, PyTorch, HuggingFace or Langchain.
  • Understanding of deep learning techniques and neural networks.
  • Familiarity with cloud platforms (either AWS, GCP, Azure) along with knowledge of CI/CD tools.
  • Applied knowledge in either NLP/NLU or reinforcement learning or Computer Vision.

Good to have Skills:

  • Experience in retail media or marketing analytics and campaign delivery.
  • Experience in developing and deploying large language models/GenAI models in production.
  • Experience in creating chatbot for information retrieval or conversational assistants.

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 and dh Thrive as the living proof. Everyone's invited.

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)

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