

Applied Data Scientist - 12 Months Contract
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an Applied Data Scientist on a 12-month contract, offering a pay rate of "unknown". The position is hybrid and requires expertise in Python, SQL, statistical modeling, and experience in customer-focused data science applications.
π - Country
United Kingdom
π± - Currency
Β£ GBP
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π° - Day rate
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ποΈ - Date discovered
June 5, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
Hybrid
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
London, England, United Kingdom
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π§ - Skills detailed
#Spark (Apache Spark) #SQL (Structured Query Language) #Data Science #Programming #PySpark #Python #Statistics #Agile #"ETL (Extract #Transform #Load)" #ML (Machine Learning)
Role description
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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 β one of the worldβs most competitive markets, with a deluge of multi-dimensional data β 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 are looking for an Applied Data Scientist for a 12 month contract who expects more from their career. Itβs a chance to apply your expertise to distil complex problems into compelling insights using the best of machine learning and human creativity to deliver effective and impactful solutions for clients. Joining our advanced data science team, youβll 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.
What We Expect From You
β’ Degree in Statistics, Maths, Physics, Economics or similar field
β’ Programming skills (Python and SQL are a must have, Pyspark is recommended)
β’ Analytical Techniques and Technology
β’ Experience with and passion for connecting your work directly to the customer experience, making a real and tangible impact
β’ Logical thinking and problem solving
β’ Strong communication skills
β’ Statistical Modelling and experience of applying data science into client problems
What You Can Expect From Us
We wonβt just meet your expectations. Weβll defy them. So youβll enjoy the comprehensive rewards package youβd 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.
Youβll 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 donβt just talk about diversity and inclusion. We live it every day β 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 stephanie.winson@dunnhumby.com 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)