Senior Research Data Scientist

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.

Create new science-based solutions that can be captured as science modules and applied across clients, with support from senior team members.

Pick up new machine learning approaches, such as regularised regression, clustering or tree-based ensembles, graph-based approaches, natural language processing and neural network techniques and apply them 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.

Follow Quality Assurance processes, ways of working and meet coding standards.