Senior Research Data Scientist - Manchester, United Kingdom - dunnhumby

dunnhumby Manchester, United Kingdom

2 weeks ago

Full time

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.

We're looking for a talented Senior Research Data Scientist who expects more from their career. It's a chance to extend and improve dunnhumby's Price & Promotions scientific portfolio. It's an opportunity to work with a market-leading business to explore new opportunities for us and influence global retailers.

Joining our Data Science team, you'll work with world class and passionate people to apply machine learning, statistical, and econometrics methods to business problems.

You'll contribute to the research and implementation of new approaches to by developing mathematical models, creative methods to address new and complex problems and perform data analysis and model validation.

You'll also have the opportunity to present analysis to both internal teams and clients.

What we expect from you

Keen interest in analysing customer data and researching novel approaches to build Statistical model.
Good working knowledge of statistical techniques, such as Maximum Likelihood Theory.
Passion about designing generative models from first principles whenever possible.
Working knowledge of using technologies to process big data.
A collaborative approach working across multiple teams like

o Applied Data Scientists - to help our client partners in adopting new research work.

o Data Science Engineers - to build robust and highly scalable solutions.

Interest in utilising innovative open-source packages (e.g. time series forecasting) to solve real world problems.

If the above points resonate with you, it is also likely that you will have:

Master's degree / PhD in Computer Science, Machine Learning, Applied Statistics, Physics, Engineering or related field.
Ability to prototype solutions using e.g. Python or R to facilitate testing of algorithms on large data sets.
Good understanding of machine learning techniques, with applications to classification, regression, and clustering.
Good understanding of software engineering principles and best practices.

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.

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. For an informal and confidential chat please contact to discuss how we can meet your needs.

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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