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)

• 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

• 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).

Talan - Positive Innovation Talan is an international consulting group specializing in innovation and business transformation through technology. With over 7,200 consultants in 21 countries and a turnover of €850M, we are committed to delivering impactful, future-ready solutions. Talan at a Glance Headquartered in Paris and operating globally, Talan combines technology, innovation, and empowerment to deliver measurable results for our clients. Over the past 22 years, we've built a strong presence in the IT and consulting landscape, and we're on track to reach €1 billion in revenue this year. Our Core Areas of Expertise * Data & Technologies: We design and implement large-scale, end-to-end architecture and data solutions, including data integration, data science, visualization, Big Data, AI, and Generative AI. * Cloud & Application Services: We integrate leading platforms such as SAP, Salesforce, Oracle, Microsoft, AWS, and IBM Maximo, helping clients transition to the cloud and improve operational efficiency. * Management & Innovation Consulting: We lead business and digital transformation initiatives through project and change management best practices (PM, PMO, Agile, Scrum, Product Ownership), and support domains such as Supply Chain, Cybersecurity, and ESG/Low-Carbon strategies. We work with major global clients across diverse sectors, including Transport & Logistics, Financial Services, Energy & Utilities, Retail, and Media & Telecommunications.