Senior Research Data Scientist

1 week ago

London, Greater London, United Kingdom dunnhumby Full time
About the Role

We are seeking a highly skilled Research Data Scientist to join our team at dunnhumby, a global leader in Customer Data Science. As a Research Data Scientist, you will play a key role in extending and improving our world-class science capabilities.

Key Responsibilities
  • Develop new science-based solutions that can be captured as science modules and applied across clients, with support from senior team members.
  • Apply machine learning techniques such as regularised regression, clustering or tree-based ensembles, graph-based approaches, natural language processing and neural network techniques on client data.
  • Perform exploratory data analysis to characterise and visualise datasets.
  • Extend and develop programming skills, in languages such as Python and Spark, to develop efficient science code for science modules.
  • Help identify new opportunities within the Data Science space for future dunnhumby solutions.
  • Implement advice from colleagues to resolve challenges.
  • Follow Quality Assurance processes, ways of working and meet coding standards.
  • Ensure smooth running of your projects, working with senior team members for direction.
  • Build strong relationships within the team and with internal stakeholders, ensuring clear and effective communication.
Requirements
  • Master's degree or equivalent in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Statistics, Physics, Engineering, Biology or related field.
  • Experience with machine learning techniques such as regularised regression, clustering or tree-based ensembles, and the ability to implement them through libraries.
  • Experience with programming, ideally Python, and the ability to quickly pick up handling large data volumes with modern data processing tools, e.g. by using Hadoop / Spark / SQL
  • Experience with or ability to quickly learn open-source software including machine learning packages, such as Pandas and scikit-learn, along with data visualisation technologies.
  • A willingness to present your work to both technical and non-technical audience and to contribute to the wider data science community.
What We Offer

We offer a comprehensive rewards package, including flexible working hours, thoughtful perks, and a degree of personal flexibility. You'll also benefit from an investment in cutting-edge technology that reflects our global ambition. We value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.

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