Collaborating with the Lead Data Scientists and cross-functional teams to develop and implement predictive modelling and advanced brand analytics tools using Python and R.
Contributing to the development of new product features, working closely with the Head of Modelling, Lead Data Scientists and the broader team.
Participating in agile development processes, delivering high-quality results within designated deadlines.
Continuously learning and growing by leveraging guidance and mentorship from the Lead Data Scientist, fostering your professional development.
Effectively communicating to convey complex concepts to both technical and non-technical stakeholders.
Applying respondent level analytics to survey data, testing and refining synthetic data methods, and / or in building timeseries econometric models in relation to solving brand and marketing questions.

A technical degree, with a focus on data science or statistics.
Solid experience in data science, ideally in Market research or related role
Advanced coding in Python and R.
Solid knowledge of statistical analysis and machine learning techniques.
Proficiency in Python and experience using Jupyter Notebooks and / or colab for data analysis and modelling.
Experience in applying respondent level analytics to survey data, and / or in building timeseries econometric models. Ideally in relation to solving brand and marketing questions.
Strong problem-solving and critical-thinking skills.
Effective communication skills to convey complex concepts to both technical and non-technical stakeholders.

Data Scientist – Market Research, Brand Health Tracking

Key skills