Data Science Engineer
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. Joining our Customer Data Science team, you’ll work with world class and passionate people to create reusable science modules, ensuring they are productionised, robust and available to the business. You’ll contribute to the research and implementation of new approaches to address complex problems and explore changes to process and tooling to enable research at scale. What We Expect From You
- Experience building analytical Python solutions
- Experience working with relational databases, and SQL-like operations
- Understanding of machine learning techniques such as regularised regression, clustering or tree-based ensembles (and experience applying them with packages like Pandas, sci-kit-learn, SciPy) is highly beneficial
- Experience processing big data, ideally in a Hadoop/Spark environment, would be beneficial
- Understanding of Continuous Integration/Continuous Delivery (CI/CD) & DevOps processes, (and experience applying them within an Agile framework) would be useful
- Develop and support standalone, reusable python packages that surface novel data science solutions, and are fundamental to best-in-class, global products and services
- Build processes and tools to support the research of global science methods, including visual dashboards to showcase their approaches