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Full-time
bachelor degree
Flexible working hours, Birthday off, Comprehensive rewards package, Diversity and inclusion networks
Posted 12h ago
~40 hrs/week
Responsibilities
You will be responsible for the implementation, support, and development of complex data science models and applications. You will work collaboratively with client leadership to build scalable, reusable solutions that deliver measurable value.
Requirements
Candidates must hold a degree in a quantitative field such as Statistics, Mathematics, or Physics and possess strong programming skills in Python and SQL. Proven experience in statistical modelling and a background in retail analytics are essential for this role.
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 a Senior Applied Data Scientist who expects more from their career. This is an opportunity to apply your expertise to distil complex problems into meaningful, actionable insights -leveraging world-first science, cutting-edge machine learning techniques and human creativity to deliver impactful solutions for clients.
Joining our advanced data science team, you’ll be responsible for the ongoing implementation, support and development of complex models and applications, working alongside exceptionally talented colleagues who are challenging and rewriting the rules rather than simply following them.
Our team works closely with Tesco to solve some of the most interesting and challenging problems in the category management space. We work collaboratively with our client leadership team and with our clients, to build solutions that are re-usable, scalable and deliver measurable value. You’ll drive change, shape innovative solutions, and actively redefine how organizations harness data.
What we expect from you
Degree in Statistics, Mathematics, Physics, Economics, or a related quantitative field
Strong programming skills — Python and SQL are essential; PySpark experience is highly advantageous.
Experience with version control tools (e.g. GIT)
Solid understanding of analytical technologies, tools, and techniques
Excellent logical thinking and problem‑solving abilities
Strong communication skills, with the ability to explain complex concepts clearly to non‑technical audiences
Proven experience in statistical modelling and applying data science solutions to real client problems
A passion for connecting technical work to real customer outcomes, delivering clear and measurable impact
Comfortable building new workstreams from the ground up, including defining direction, structure, and stakeholder alignment
Background in retail analytics (especially exposure to Category Management) is advantageous
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.
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 SciencePythonSQLPySparkGitStatistical ModellingMachine LearningRetail AnalyticsCategory ManagementData ScienceCustomer Data SciencePredictive ModellingQuantitative AnalysisStakeholder AlignmentScalable Solutions
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
482,513
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