Intern - London, United Kingdom - dunnhumby

dunnhumby
dunnhumby
Verified Company
London, United Kingdom

1 week ago

Tom O´Connor

Posted by:

Tom O´Connor

beBee Recruiter


Description

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.


This is a unique opportunity for a PhD student to work in our London Data Science team
on a 3-month Internship, exploring technical tools and algorithms in the field of data ethics, particularly around fairness and transparency.

The internship will be a mix of desk research and hands-on data science using in-house and/or synthetic data sources. The intern will research techniques and packages to understand current metrics and test on 'real-world' data. We would also expect the intern to participate actively in our Data Science community, e.g. by giving a talk on their research or another relevant topic.

We will provide induction training and continuous support throughout the placement.


Expected Outcomes


Our objective for this placement is to deliver a process by which our future data science solutions will be assessed.

The intern will produce a report, with recommendations, on the strengths and weaknesses of these tools and potential benefit to dunnhumby.


Supervision and Mentorship
The Data Scientist intern will work in the Applied Data Science team in our Brook Green office.

The intern will be a member of our Data Science community - both Research and Applied - to provide them with a network of colleagues for support and learning.


Person Specification
The ideal intern will have a passion for Data Science with a questioning mindset.


_Essential skills:
_


  • Experience building predictive machine learning models in Python
  • Knowledge of data ethics issues and a desire to build metrics to assess them

_ Desirable skills:
_


  • Knowledge of different data ethics frameworks
  • Experience of large real world datasets
  • Strong verbal and written communication skills
  • Ability to explain technical issues to a nontechnical audience

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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