AI Applications & Data Science Consultant

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.

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)

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