Join dunnhumby: Global Leader in Customer Data Science

dunnhumby, the global leader in Customer Data Science, empowers businesses to excel in the data-driven economy. With a steadfast commitment to putting the Customer First, we drive growth and innovation for businesses worldwide.

Our Mission

We dedicate ourselves to helping businesses grow and transform by championing their customers. With a strong heritage in retail, one of the world’s most competitive markets inundated with multi-dimensional data, dunnhumby enables industries globally to prioritize their customers.

Our Global Presence

With nearly 2,500 experts across offices in Europe, Asia, Africa, and the Americas, dunnhumby collaborates with transformative brands like Tesco, Coca-Cola, Meijer, Procter & Gamble, and Metro.

Job Opportunity: Senior Research Data Scientist

We are seeking a talented Senior Research Data Scientist passionate about advancing their career and improving dunnhumby's Price & Promotions scientific portfolio. Join our Price & Promotion Science team and work on designing and building world-class advanced demand forecasting models. Influence global retailers and collaborate on critical customer data science problems using machine learning, statistical, and econometric methods.

Responsibilities

You will collaborate with a team of experts to:

• Design and build advanced demand forecasting models.
• Apply machine learning and statistical methods to various customer data science problems.
• Present your work to internal teams and clients.

Qualifications

• Strong mathematical and statistical skills.
• A passion for designing predictive models from first principles.
• Pragmatic modeling approach, balancing theoretical validity and practical usage.
• Knowledge of maximum likelihood inference, mixed effects models, hierarchical models, Bayesian inference.

Preferred Qualifications

• Degree in a statistical or mathematical subject.
• Postgraduate degree or experience in research or mathematical analysis, especially in statistics, physics, econometrics, or machine learning.
• Proficiency in prototyping solutions using Python, R, or MATLAB, for testing algorithms on large datasets.
• Understanding of machine learning techniques for classification, regression, and clustering.
• Knowledge of databases and SQL.

What We Offer

At dunnhumby, we exceed expectations with a comprehensive rewards package you'd expect from a leading technology company and personal flexibility. Enjoy perks like flexible working hours and your birthday off.

Diversity and Inclusion

We don’t just talk about diversity and inclusion. We live it every day through our thriving networks, including dh Gender Equality Network, dh Proud, dh Family, dh One, and dh Thrive. Everyone’s invited.

Flexible Working

We value work-life balance and are committed to creating an inclusive environment. If flexible working options are essential to you, discuss them with your recruiter during the hiring process.

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