Job Description
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)
- Relocation to Málaga, Spain
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
Additional Information
What do we offer you?
We offer:
- Full-time and permanent employment contract
- Flexible work schedule
- 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
If you are passionate about data, development & tech, we want to meet you!
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).
Other open roles at Talan(6)
Founded in France, Talan has grown into an international group that supports our clients in their end-to-end Data & AI transformation by combining management consulting with technological expertise. With over 6,000 employees across five continents, we accelerate our clients' transformations through long-term partnerships, creating measurable and sustainable impact. Our value proposition is built on a structured innovation ecosystem: 2,500 Data & AI experts, proprietary solutions built on advanced models, and an applied research, experimental development, and innovation laboratory. For more than 20 years, we have been translating technological innovation into competitive advantages across vital sectors: banking and financial services, energy, transport and mobility, luxury and retail, and healthcare. Driven by our promise of "Positive Innovation," we have established ourselves as a leading player in addressing the growing complexity of economic, technological, and regulatory environments.
Key team members
Olivier Grosjean
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