Job offer · Data · Fully remote, no location constraint · Permanent
Data scientist — pharmacy stock and demand forecasting
Build the forecasting models that help pharmacies manage their stock better, based on connection data from management software and real activity on Nexum's connected catalogue.
The role
The connected catalogue links pharmacy stock to management software in real time. This data opens the way to demand and stock forecasting models, concretely useful at the counter: anticipating a stock-out, adjusting an order, spotting a trend.
The role is to build these models from real pharmacy data, working with the technical team that runs the connected catalogue and the operations team that knows the field.
What you will do
- Build demand and stock forecasting models from connected-catalogue data.
- Explore pharmacy activity data to identify useful, actionable signals.
- Work with the technical team to move a model from experimentation to production.
- Measure the real quality of forecasts against observed activity, and iterate accordingly.
- Talk with pharmacists and the operations team to understand real stock usage in pharmacies.
What we are looking for
- Solid experience in predictive modelling, ideally on time series or demand data.
- Fluency in a data science language (Python most often) and comfort with real production databases.
- A taste for testing a model against field reality rather than an isolated dataset.
- English for technical exchanges; French is a plus.
- Autonomy to carry a topic from raw data to a model that is useful in production.
- The models rely on health data and real pharmacy usage data, hosted under HDS: protecting it is part of the work, not a box ticked afterwards.
What we offer
- Fully remote, from any country; the team is already international.
- Access to real data from over 400 connected pharmacies, not a synthetic dataset.
- An end-to-end technical stack, TypeScript on the product side, run by a team that codes.
- An award-winning product, PharmagoraPlus 2026 Innovation Award, and a company opening new European markets.
The process, in four steps
- A conversation with the CTO.
- A technical interview on modelling and data.
- A case study on data representative of the connected catalogue.
- A meeting with the team.
No abstract quiz: the case study is based on a real pharmacy stock problem. Decision within 48 hours after the last step.
Apply
The form prepares your email, position already filled in: a few lines about you and what draws you here, a link to your work. The response comes from the person recruiting for the position.
A few lines about you and what draws you here; CV or online profile welcome. Address.
All positions
- Data analyst — acquisition and usage (data-driven marketing)
- Data engineer — health data platform (HDS)
- Senior backend engineer — pharmacy management software connectors
- DevOps / SRE engineer — HDS infrastructure and self-hosted LLMs
- Senior fullstack engineer — TypeScript
- React Native mobile engineer — Nexum Pharma and Nexum Pro
- AI research engineer (self-hosted LLMs, voice)
- Cybersecurity engineer — health data and compliance
- Product and regulatory pharmacist — scientific board and journeys
- PhD candidate in conversational AI — research team
- PhD candidate in AI applied to health data — safety and evaluation
- Product designer — counter and app interfaces
- Product manager — pharmacy and patient journeys
- Operations manager — pharmacy deployment and success
- Operations manager, Spain / Portugal — market opening
Come and write what comes next.
A conversation with the CTO, an architecture interview, a live working session — then a decision within 48 hours.
Fully remote · Team of eight · Everything written in-house