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Full-time
bachelor degree
Flexible working hours, Birthday off, Comprehensive rewards package, Investment in cutting-edge technology, Diversity and inclusion networks
Posted 5d ago
~40 hrs/week
Responsibilities
You will investigate, develop, and deploy complex data science applications to solve client problems. Your role involves distilling complex data into compelling insights to deliver impactful solutions for retailers and brands.
Requirements
Candidates must hold a degree in Statistics, Maths, Physics, Economics, or a similar field. You are required to have 2 to 4 years of experience and proficiency in Python, SQL, and machine learning.
Full job description
dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers.
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, Nestlé, Unilever 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 machine learning 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.
What we expect from you
Degree in Statistics, Maths, Physics, Economics or similar field
2 to 4 years of experience required
Programming skills (Python, ML, SQL are a must have)
Analytical Techniques and Technology
Logical thinking and problem solving
Strong communication skills
Experience with and passion for connecting your work directly to the customer experience, making a real and tangible impact
Statistical Modelling and experience of applying data science into client problems.
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)
Related keywords
Applied Data ScientistCustomer Data ScienceMachine LearningPythonSQLStatistical ModellingData AnalysisRetailInsightsAgile WorkingProblem SolvingAnalytical TechniquesTechnologyCustomer ExperienceStatisticsMathematics
The science of serving every customer. Together. At scale.
Industry
Technology, Information and Media
Company size
1,001-5,000 employees
Founded
1989
Headquarters
Brook Green, London
LinkedIn followers
482,002
dunnhumby helps businesses grow through faster, better decision making, as the essential intelligence layer connecting the world’s leading retailers and brands.
Sitting at the intersection of loyalty, media, and category management, dunnhumby, helps to navigate complex and competing priorities. Combining AI-enabled science, software, trusted advice, and 35+ years of dedicated retail experience, dunnhumby is recognised as a leader in connecting customer insight and action to build loyalty, drive performance, and deliver results that last.
With offices in locations across Europe, Asia, Africa, and the Americas, dunnhumby works with brands including Tesco, Coca-Cola, Meijer, Procter & Gamble, and L’Oreal, to make smarter decisions today and tomorrow.
Offices: 184 Shepherds Bush Road, Brook Green, London W6 7NL, GB · Av. Brigadeiro Luis Antônio, 3530 – 3º andar, Jardim Paulista, São Paulo, São Paulo 01402-000, BR · 7th & 8th Floor, Tower-1, Mikado Realtors Private Limited, Electronic Hardware, IT/ITES SEZ, Intellion Park, Village Behrampur, Gurugram, Haryana 122004, IN · 609 SW 8th St, Suite 635, Bentonville, Arkansas 72712, US · Blvd. Manuel Ávila Camacho 5. Col. Lomas de Sotelo, Piso 10, Torre B, Naucalpan de Juárez, 53390, MX
Data SciencePredictive AnalyticsData AnalyticsRetail MediaCustomer InsightLoyalty & PersonalisationCategory Managementand CustomerData & AI StrategySocial Media