dunnhumby

Tech / AI / Software

SeniorAppliedDataScientist

london, england, united kingdom
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Applied Data Scientist at dunnhumby. Skills: Applied Data Scientist, Customer Data Science, complex models and applications, statistical modelling, data science solutions. ongoing implementation, support and development of complex models and applications. solve some of the most interesting and challenging problems in the category management space”

What You'll Achieve.

deliver impactful solutions for clients; deliver measurable value for their customers; deliver clear and measurable impact

Industry & Context.

Tech / AI / Software
Problems you'll solve

Excellent logical thinking and problem‑solving abilities; distil complex problems into meaningful, actionable insights

What They're Looking For.

Must Have

Degree in Statistics, Mathematics, Physics, Economics, or a related quantitative field, programming skills — Python and SQL, Experience with version control tools (e. g. GIT), Solid understanding of analytical technologies, tools, and techniques, Excellent logical thinking and problem‑solving abilities, 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

Nice to Have

PySpark experience is highly advantageous, Background in retail analytics (especially exposure to Category Management) is advantageous

What You'll Do.

ongoing implementation

support and development of complex models and applications

solve some of the most interesting and challenging problems in the category management space

build solutions that are re-usable

scalable and deliver measurable value

shape innovative solutions

actively redefine how organizations harness data

How You'll Work.

Team & Collaboration

working alongside exceptionally talented colleagues; work collaboratively with our client leadership team and with our clients; build trusted relationships across teams

Communication Scope

ability to explain complex concepts clearly to non‑technical audiences

Process & Methodology

Project Management

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 cl

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