Senior Data Scientist

In YouGov Shopper, constant innovation is key to improving the pertinence and quality of the data received from consumer panel members and app users. The team has developed a coding framework that automatically enriches shop receipts and reduces work for panelists. As a Senior Data Scientist, you will be part of a cross-functional team of machine learning engineers, developers, and fellow data scientists, helping design and build new components of the coding framework, enabling richer insights by enhancing consumer panel purchase data. You will take the lead on a workstream within the team, owning its technical direction, coordinating the work of others contributing to it, and making sure it delivers against the team's broader goals.

Responsibilities

Lead a workstream within the project team: define its technical approach, break it down into tasks, and coordinate the data scientists and engineers contributing to it; Develop, implement, and standardize NLP and ML solutions for tasks such as text classification, clustering, entity recognition, and semantic search, from proof-of-concept to production; Conduct exploratory data analysis and create clear visualizations to communicate patterns and trends to the team and stakeholders; Be an active and influential member of the Agile Team, drive the definition of tasks within your workstream, share findings, raise risks and uncertainty, and challenge priorities during plannings; Present workstream progress and achievements to the team and broader audience during agile ceremonies (sprint reviews, system demos); Screen the market for potential new Data Science approaches relevant to your workstream, and stay up to date with advancements in machine learning and NLP; Create and improve methods and tools, and contribute to and help define best practices around Data Science; Share Data Science knowledge within the team, mentor less experienced colleagues, and support their growth; Work across teams and projects to broaden understanding of the various areas within YouGov Shopper

Requirements

Typically 5+ years of professional experience in data science, applied ML, or a related field; Experience leading a workstream, project, or initiative within a team, coordinating others' contributions and owning technical decisions; Expert knowledge of statistics, probability, and machine learning techniques, including statistical and predictive modeling; Expert proficiency in Python and its data science ecosystem (pandas, NumPy, scikit-learn, statsmodels), with good working knowledge of SQL/NoSQL; Strong experience with NLP techniques and libraries (tokenization, embeddings, transformers, Hugging Face Transformers, spaCy, or NLTK) and exposure to deep learning frameworks (PyTorch, TensorFlow); Good understanding of cloud environments and architectures (AWS, GCP, or Azure) for data and ML workloads; Ability to translate and clearly communicate sophisticated analytical information to both technical and non-expert audiences; Familiarity with Jupyter, Python best practices and coding standards, Git, GitLab, and CI/CD awareness