This 6-month internship focuses on designing and implementing a robust data pipeline from raw data ingestion to clean, structured datasets and visualisation. This will enable the R&D team to improve algorithms and explore predictive analysis using machine learning.

We have a database with the raw data from our users’ pumping or training sessions. Currently we analyse specific points of interest by opening session graphs in this database manually and coming to a conclusion. The aim of this internship is to create the connection between our database and Big Query to import users’ raw data and aggregate it to make analysis automatic, large-scale, faster, modifiable and always up to date.

Expected outputs

• Scalable and documented data collection and storage pipeline

• Automated data cleaning and preprocessing scripts

• Centralized dashboards for visualization

• Example datasets and analysis notebooks for core projects

• Recommendations for future predictive or AI-based studies

• Work with Big Query and Metabase

We are looking for a motivated data engineering student with a strong interest in building end-to-end data pipelines and enabling data-driven product development. The ideal candidate is comfortable working with raw, imperfect datasets and transforming them into clean, structured, and actionable information.

You should have a solid foundation in data processing workflows and Python, as well as a good understanding of databases and cloud data platforms. Experience with data visualization tools or dashboard creation is a strong advantage. A curiosity for sensor data, time-series analysis, or machine-learning applications will help you thrive in this role.

Key skills and qualities:

👩‍💻 Key skills:

• Strong Python skills for data processing and automation

• Understanding of SQL and database management

• Familiarity with cloud data warehouses (BigQuery is a plus)

• Experience with data visualization tools (e.g., Metabase, Tableau, or similar)

• Interest in machine learning, predictive modelling, or sensor/time-series data

📚 Good communication skills both to document ongoing work, communicate with others about progress and blocking points, brainstorm, etc.

💡Curious mindset, you like investigating problems outside of your comfort zone, eager to learn new skills and you know when to ask for help and check in with your team

🤰 You are comfortable talking about women’s health issues, are not intimidated by the topics of pelvic floor health, the vagina, childbirth and female intimacy in general, and curious to learn more,

👩‍⚖️ You are a feminist and believe in the right of every woman to have access to fun and effective health solutions,

💬 You speak and write excellent English and French.

• Online cognitive test

• Screening call

• Case study & In-person interview