Senior Applied Data Scientist (12-month FTC)
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This role is for a Senior Applied Data Scientist on a 12-month FTC, offering competitive pay. Key skills include Python, SQL, and statistical modeling. A degree in a quantitative field is required, with category management experience preferred.
United Kingdom
London
#Agile #Leadership #Programming #SQL (Structured Query Language) #Statistics #ETL (Extract #Transform #Load) #ML (Machine Learning) #Data Science #PySpark #Spark (Apache Spark) #Mathematics #Scala #Python
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. We employ 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 are looking for a Senior Applied Data Scientist who expects more from their career. This is an opportunity to apply your expertise to turn complex problems into meaningful, actionable insights—combining cutting‑edge machine learning techniques with human creativity to deliver impactful solutions for our clients.
Joining our advanced data science team, you'll investigate, develop, implement, and deploy a range of sophisticated applications and components, 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 and scalable. This role is a 12‑month Fixed‑Term Contract.
What we expect from you
* A degree in Statistics, Mathematics, Physics, Economics, or a related quantitative field
* Strong programming skills — Python and SQL are essential; PySpark experience is highly advantageous
* Solid understanding of analytical technologies, tools, and techniques
* 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
* Excellent logical thinking and problem‑solving abilities
* Strong communication skills, with the ability to explain complex concepts clearly to non‑technical audiences
* Effective stakeholder management and the ability to build trusted relationships across teams
* Category management experience desirable but not essential
What you can expect from us
We won't just meet your expectations. We'll defy them. You'll enjoy the comprehensive rewards package you would expect from a leading technology company, along with personal flexibility you might not expect, thoughtful perks such as flexible working hours and your birthday off. You’ll benefit from an investment in cutting‑edge technology with a nimble, small‑business feel that gives you the freedom to play, experiment and learn. We are committed to building an inclusive culture and have thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive. We want everyone to have the opportunity to shine and perform at their best throughout our recruitment process. Please let us know how we can make this process work best for you.
We value and respect differences and are committed to building an inclusive culture by creating an environment where you can balance a successful career with commitments and interests outside of work. Some roles lend themselves to flexible options more than others; if this is important to you, please raise it with the recruiter, as we are open to discussing agile working opportunities during the hiring process.
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