AI Applications & Data Science Consultant
You will join a leading integral R&D; environment where advanced AI-driven applications support researchers in their daily work—from data analysis and statistical modelling to predictive insights and dashboarding.

These applications, built mainly with

Shiny (R)

and

Streamlit (Python) , are part of a growing analytics ecosystem running on a dedicated internal platform. The mission combines

maintenance of existing AI/statistical tools

and

development of new data-driven applications

based on real user needs.

You will act as a bridge between

business users (researchers)

and

technical teams , ensuring applications remain reliable, scalable, and relevant.

What you will do

Investigate and fix issues in AI algorithms (bugs, performance, data pipeline failures)

Maintain and improve existing

Shiny (R)

and

Streamlit (Python)

applications

Ensure stability after platform or dependency updates

Develop new interactive modules (dashboards, analytics tools, reporting apps)





Analyse business needs and translate them into technical solutions

Optimize and refactor Python and R codebases

Manage data pipelines and connectors (APIs, databases, files)

Conduct testing (UAT, unit tests, integration tests)

Collaborate with data scientists, statisticians, and business users

Document all developments and processes (French & English)

Qualifications
What we are looking for

Required

3–5 years of experience in

Python and/or R development

Experience with

Shiny (R)

and/or

Streamlit (Python)

Strong debugging and problem‑solving skills

Experience maintaining production‑level applications

Solid knowledge of:

Data manipulation (Pandas / dplyr)

Data visualisation (ggplot2, plotly, matplotlib, altair)

Experience with

Git/GitHub (PRs, branching, versioning)

Understanding of basic AI/ML concepts (evaluation metrics, overfitting, pipelines)

Ability to work in a

bilingual environment (French & English)

Nice to have

Experience

📌 AI Applications (Madrid)
🏢 Talan Group
📍 Madrid