Research Data Scientist

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.
Joining our team, you’ll work with world class and passionate people to apply machine learning and statistical technqiues to business problems. You’ll contribute to the research and implementation of new approaches to address complex problems and perform data analysis and model validation. You’ll have the opportunity to present results to a variety of internal stakeholders.
You will apply these techniques and algorithms to create dunnhumby science solutions that can be delivered across our clients and engineered into science modules.
This role will be focussed on how we ensure better decisions are made as part of category management, ensuring the right product is in the hands of the customer, by enhancing our data-led understanding of products and categories, optimising across space and range and increasing automation of category decision making.
What we expect from you
PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Statistics, Physics, Engineering, Biology or related field.
3- 5years of experience required
Experience with machine learning techniques such asregularised regression, clustering or tree-based ensembles, and the ability to implement them through libraries.
Experience with programming, ideally Python, and the ability to quickly pick up handling large data volumes with modern data processing tools, e.g. by using Hadoop / Spark / SQL
Experience with or ability to quickly learn open-source software including machine learning packages, such as Pandas, scikit-learn, along with data visualisation technologies.
Experience in retail sector would be an added advantage
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, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you.
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)
Apply for this job

*
indicates a required field
First Name *
Last Name *
Email *
Phone *
Location (City) *
Resume/CV *
Enter manually
Accepted file types: pdf, doc, docx, txt, rtf
Enter manually
Accepted file types: pdf, doc, docx, txt, rtf
Employment
Title
Select...
Start date year
End date month Select...
End date year
Current role
Will you require sponsorship now or in the future to be able to work in the country the role will be located? * Select...
I confirm that all information I have provided in this application is true and accurate' * Select...
Have you worked at dunnhumby before? * Select...
Are you currently based in London? * Select...
Are you comfortable with Hybrid role ( 3 days work from office, 2 days work from home)? * Select...
Global Diversity and Inclusion Questions

At dunnhumby, we utilise our

diversity of thought as our competitive edge

.
We are proud of our diversity and committed to making dunnhumby an even more inclusive place to work that we can be proud of.
Our diversity and inclusion work is designed to cultivate a culture of belonging, where every dunnhumbian feels safe to bring their whole self to work, where everyone is welcome and we practice what we preach.
We have a full D&I strategy to implement this long-term behaviour change; in addition, we have five employee-led network groups to support colleagues in the areas of gender, sexual orientation, multiculturalism, mental health and wellbeing, and family.
What best describes your gender Select...
By checking this box, I consent to dunnhumby collecting, storing, and processing my responses to the demographic data surveys above.

#J-18808-Ljbffr