dunnhumby

Tech / AI / Software

AssociateAppliedDataScientist

oslo, oslo, norway
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Associate Applied Data Scientist at dunnhumby. Skills: Customer Data Science, Loyalty and Personalisation, 1: 1 customer personalization, data-driven marketing, customer insight. design 1: 1 customer personalization initiative that truly resonate. developing Norway’s most engaging loyalty program”

What You'll Achieve.

deliver measurable value for their customers; meet customer needs; support business objectives; create meaningful change

Industry & Context.

Tech / AI / Software
Problems you'll solve

analytical thinking; meet customer challenges through data-driven solutions; uncover new business opportunities; linking analytical findings to real-world business problems

What They're Looking For.

Must Have

master's degree in economics, statistics, mathematics, engineering, or equivalent, fluent and have good written skills in English, Norwegian language skills

Nice to Have

academic background with a master's degree, Relevant experience preferably from retail, media agencies, consulting or the financial sector, familiarity with Python, Spark or other SQL-based applications is an advantage

What You'll Do.

design 1: 1 customer personalization initiative that truly resonate

developing Norway’s most engaging loyalty program

shape the future of retail through groundbreaking loyalty and personalisation

and Retail Media initiatives

translating complex analysis into clear recommendations

ensuring insights are embedded into decision making

How You'll Work.

Team & Collaboration

collaborate across teams – Coop, dunnhumby commercial leads and data science team; close collaboration; work closely with Coop in a dynamic environment; work in a world-leading retail data science company with specialist expertise; experience being part of a large international network

Communication Scope

clear communication; translating complex analysis into clear recommendations

Process & Methodology

setting up dedicated project/process management initiatives

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. dunnhumby Norway AS is a joint venture between Coop Norge Handel AS and dunnhumby ltd. Based on the Customer First principle, we deliver customer insight and data-driven marketing for Coop and its suppliers. dunnhumby Norway has 35 employees in Norway and 15 employees in India. We are looking for an Associate Applied Data Scientist to join the Loyalty and Personalisation team who will work as a part of our Solutions Team. Your role: As a key member of our Loyalty and Personalisation team, you will dive deep into the world of data to design 1:1 customer personalization initiative that truly resonate. With a focus on Coop’s 1.7 million members, you will play a crucial role in developing Norway’s most engaging loyalty program. In close collaboration with our international team, your efforts will help shape the future of retail through groundbreaking loyalty and personalisation, CRM, and Retail Media initiatives. In this role you will collaborate across teams – Coop, dunnhumby commercial leads and data science team, translating complex analysis into clear recommendations, and ensuring insights are embedded into decision making. The role requires strong analytical thinking, technical savviness, clear communication, and a hands-on approach to partnership and delivery. At dunnhumby, you will work in a world-leading retail data science company with specialist expertise in customer data, category development, campaign and price, customer communications and med

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