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 with

GCP (BigQuery, Vertex AI)

Knowledge of

Docker and APIs (FastAPI, REST)

Exposure to

ML frameworks (scikit-learn, TensorFlow, PyTorch)

Statistical knowledge (PCA, hypothesis testing, DOE)

Experience with

Posit / Shiny Server environments

Familiarity with NLP or computer vision concepts

Benefits

Full‑time and permanent employment contract

Professional growth possibilities & learning opportunities

Possibility to join a multicultural team & work in the international environment

Variety of benefits to support your physical, emotional and financial wellbeing: private medical insurance, life insurance, lunch and transport card as part of the flexible remuneration pack, and online language classes

Smart Office Pack

Talan Spain’s commitment to non‑discrimination based on gender, race, ideology, or any other reason, in accordance with the company’s "Equality Plan" and the current regulations on gender equality between women and men (Royal Decree-Law 6/2019).

📌 AI Applications & Data Science Consultant (Madrid)
🏢 Talan Group
📍 Madrid