AI Applications & Data Science Consultant

You will join a leading global 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

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