Research Data Scientist @ Dunnhumby
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About dunnhumby
dunnhumby is the global leader in Customer Data Science, empowering businesses to compete and thrive in the modern data-driven economy. We put the Customer First by enabling companies to grow and transform through data insights. With a deep heritage in retail, we serve iconic brands worldwide.
Role Overview
The Research Data Scientist at dunnhumby will tackle complex business challenges by converting them into scalable data science problems solved through state-of-the-art AI algorithms. You will work on identifying new opportunities in data science and contribute to developing future solutions.
What We Expect from You
- Degree or equivalent in a statistical or mathematical subject
- 2-5 years of experience in Data Science
- Strong understanding of statistics, forecasting, regression, linear models, time series, hypothesis tests, and optimisation
- Experience with Python and Spark for prototyping large-scale algorithms
- Proficiency in machine learning techniques for classification, prediction and clustering
- Ability to design experiments and measure treatment effects rigorously
- Competence in SQL and familiarity with relational and non-relational databases
- Experience with algorithms such as Ancova, regularized linear models, clustering, random forests, xgboost
- Continuous research into the latest machine learning approaches
- Good grasp of Object-Oriented Programming and open-source packages (Pandas, SciPy, Scikit-learn, TensorFlow)
What You Can Expect from Us
At dunnhumby, we defy expectations. In addition to a comprehensive rewards package, you will enjoy personal flexibility, thoughtful perks like flexible working hours and even your birthday off. Benefit from cutting-edge technology investments that foster a nimble, innovative, and inclusive work environment.
Flexible Working and Culture
We value work/life balance and inclusivity. Discuss agile working options during the hiring process and join networks that celebrate diversity such as dh Gender Equality Network, dh Proud, dh Family, and more.
Key skills/competency
- Data Science
- Statistics
- Machine Learning
- Python
- Spark
- SQL
- Forecasting
- Optimization
- Clustering
- Experimental Design
How to Get Hired at Dunnhumby
🎯 Tips for Getting Hired
- Customize your resume: Tailor your data science skills to dunnhumby's requirements.
- Highlight projects: Showcase scalable AI algorithm implementations.
- Research dunnhumby: Understand their global customer data focus.
- Practice technical interviews: Prepare with Python, Spark, and statistics questions.