AI Applications & Data Science Consultant

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.

• 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)

What we are looking for

• 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/Git Hub (PRs, branching, versioning)
• Understanding of basic AI/ML concepts (evaluation metrics, overfitting, pipelines)
• Ability to work in a bilingual environment (French & English)

• Experience with GCP (Big Query, Vertex AI)
• Knowledge of Docker and APIs (FastAPI, REST)
• Exposure to ML frameworks (scikit-learn, Tensor Flow, PyTorch)
• Statistical knowledge (PCA, hypothesis testing, DOE)
• Experience with Posit / Shiny Server environments
• Familiarity with NLP or computer vision concepts

• 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).