Overview
hackajob is collaborating with Dunnhumby Ltd to connect them with exceptional tech professionals for this role. Dunnhumby is the global leader in Customer Data Science, empowering businesses to compete and thrive in the data-driven economy. Our mission is to enable businesses to grow by becoming advocates and champions for their Customers, with deep expertise in retail and data analytics. We employ nearly 2,500 experts across Europe, Asia, Africa, and the Americas and work with brands such as Tesco, Coca‑Cola, Meijer, Procter & Gamble and Metro. We’re looking for a talented Senior Research Data Scientist who will help extend and improve dunnhumby’s science capabilities and influence global retailers.
Responsibilities
* Develop innovative methods to exploit dunnhumby’s world class Price & Promotions capabilities
* Support our high-performing Price & Promotions experts by implementing new capabilities with significant business impact
* Perform exploratory data analysis and model validation
Qualifications
* Master’s degree / PhD in Computer Science, Machine Learning, Applied Statistics, Physics, Engineering or related field
* Strong mathematical and statistical skills
* Experience with Python, Spark and SQL
* Experience implementing and validating a range of machine learning and optimization techniques
* Effective scientific communication for varied audiences
* Autonomy and ownership of projects
* Good understanding of software engineering principles and best practices
What you can expect from us
We offer a comprehensive rewards package, flexible working options where possible, thoughtful perks like flexible working hours and occasional time off. We invest in cutting‑edge technology and provide a nimble, collaborative environment that fosters experimentation and learning. We value diversity and inclusion and support networks for colleagues across the business. If you have accessibility needs or require adjustments to the recruitment process, please let us know so we can accommodate you.
Seniority level
* Mid-Senior level
Employment type
* Full-time
Job function
* Engineering and Information Technology
Industries
* Software Development
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