In YouGov Shopper, we believe that constant innovation is the key to improve the pertinence and quality of the data that we receive from our consumer panel members and app users.  ​

To achieve this goal, we have developed a coding framework that automatically enriches shop receipts and consequently reduces work for our panelists.​

As a Junior Data Scientist, you’ll be part of a cross-functional team of machine learning engineers, developers, and fellow data scientists. Together, you’ll help design and build new components of our coding framework, enabling richer insights by enhancing consumer panel purchase data.​

Here’s a breakdown of what you’ll do: 

• Development and evaluation of NLP and ML models for tasks such as text classification, clustering, entity recognition, and semantic search.​
• Conduct exploratory data analysis and create clear visualizations to understand patterns and trends.​
• Be active as a member of our Agile Team, participate in the definition of tasks, share your findings, raise risks and uncertainty, challenge priorities during our plannings.​
• Present your achievements to the team and to broader audience during agile ceremonies (sprint reviews, system demos…).​
• Learn more about the various areas in Yougov Shopper by working on cross-team projects.​
• Stay up to date with basic advancements in machine learning and NLP, applying new techniques under guidance.​
• Create and improve current methods and tools, contribute to refine best practices around Data Science. 

These are the essentials you’ll need to get an interview:​

• 0–2 years of professional experience in data science, applied ML, or a related field (internships, academic projects, or research experience welcome).​
• Solid foundation in statistics, probability, and basic machine learning techniques.​
• Proficiency in Python and familiarity with common data science libraries (pandas, NumPy, scikit-learn, matplotlib).​
• Interest in and some exposure to NLP techniques (tokenization, embeddings, transformers, or classical NLP methods).​

Nice-to-have skills ​:

• Exposure to deep learning frameworks (PyTorch, TensorFlow).​
• Familiarity with NLP libraries such as Hugging Face Transformers, spaCy, or NLTK.​
• Experience working on academic projects or Kaggle competitions involving NLP or ML.​
• Understanding of basic cloud platforms (AWS, GCP, or Azure) for data and ML workloads.​
• Familiarity with version control tools (Git) and collaborative coding practices.​

Tools & Technology :​

• Jupyter, Python and Python best practices and coding standards.​
• Python frameworks as pandas, NumPy, scikit-learn, stats models​.
• git, GitLab, basic CI/CD awareness.​
• Collaboration & documentation: JIRA, Confluence, Teams, Miro.​

Why join YouGov?
Join our global team to help us achieve our social mission: to make millions of people’s opinions heard for the benefit of our local, national, and international communities.

Understanding diversity of opinion requires diversity of background. Although our global panel of millions of people worldwide powers our research, our biggest asset is our people. If our research is to be truly representative of what the world thinks, we need people from all walks of life to be part of the team to bring their perspective to the work we do. 

Life at YouGov
We are driven by a set of shared values. We are fast, fearless, and innovative. We work diligently to get it right. We are guided by accuracy, ethics, and proven methodologies. We respect and trust each other, bringing these values into everything that we do.

We strive to provide YouGovers with best-in-class benefits to support their physical, financial, and emotional wellbeing. We want our employees to have a sense of belonging and uniqueness in a supportive workplace, so they can bring their full selves to work. 
 
Equal Opportunity Employer
As an Equal Opportunity Employer, qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity or expression, and sexual orientation), parental status, national origin, marital status, age, disability, genetic information, HIV status, political affiliation, socioeconomic background, veteran status or any other characteristic protected by law or in line with our responsibilities as a fair and ethic employer. All employment decisions are made based on occupational qualifications, merit, and business need.

Data Privacy
To find out how we collect and use your personal data when you apply for a role at YouGov, please read our privacy notice at https://jobs.yougov.com/privacy