Talan is a consulting firm specializing in innovation and transformation through technology. For over 20 years, Talan has been advising businesses and public institutions, supporting them, and implementing their transformation and innovation projects in France and internationally. Operating on five continents, the group expects to achieve a turnover of €600 million in 2023 with more than 6,000 consultants and aims to exceed the €1 billion revenue mark by 2025.
The group places innovation at the heart of its development and operates in areas related to the technological transformations of large corporations, such as Big Data, IoT, Blockchain, and Artificial Intelligence. Actively participating in major industry events like Viva Technology, Talan regularly contributes to discussions on the challenges posed by these revolutionary technologies, alongside key industry players and policymakers (Syntec Numérique, Artificial Intelligence Forum, French Fab Tour, Forum de Giverny, among others).
For the eighth consecutive year, Talan has been recognized as one of the best French companies to work for.
Present in Geneva and Lausanne, Talan Switzerland now has nearly 170 employees. Initially focused on the financial sector, Talan has expanded in recent years into the watchmaking, insurance, media, and services industries.
Job Description
We are looking for a Data Scientist in Lausanne.
Our client has revamped its Artificial Intelligence initiatives in 2024, with a strong focus on Generative AI. With one business case ready for production and a cloud platform built on Azure OpenAI and Azure Databricks, we are now moving forward with new feasibility studies for multiple AI-driven use cases.
We are looking for a skilled Data Scientist with MLOps expertise to lead the technical feasibility of AI solutions, focusing on content extraction, summarization, and feature extraction. This is a high-impact role where you will have full access to the platform to test models, develop end-to-end pipelines, and provide metrics-driven feasibility analysis.
Key Responsibilities
* Test, develop, and evaluate Generative AI models for content extraction and summarization.
* Conduct end-to-end feasibility studies, providing data-driven insights and performance metrics.
* Work on speech-to-text AI for call center transcript analysis, intent detection, and summarization.
* Implement invoice understanding models for item line classification and automation.
* Develop and evaluate RAG-based applications, ensuring optimal performance and reliability.
* Work extensively with Python, LLMs, MLFlow, and LangChain.
* Utilize Azure Databricks for model training and deployment (plus).
* Ensure compliance with AI governance, security, and performance monitoring.
* Work closely with Vaudoise’s AI & Business teams in Lausanne.
* Operate in an agile and results-driven environment, ensuring AI solutions align with business needs.
Qualifications
Technical Skills
* Mandatory: Python, LLMs, MLFlow, LangChain.
* Experience with Generative AI model fine-tuning and MLOps best practices.
Industry & Business Knowledge
* Experience in the insurance industry is a strong plus.
* Prior work in content extraction, classification, and AI-driven automation.
* Hands-on, results-driven mindset – getting things done efficiently.
* Strong problem-solving skills and ability to work independently.
* Excellent communication skills to collaborate with both technical and business stakeholders.
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