Data Scientist

Company Description

Inetum is a European leader in digital services. Inetum’s team of 28,000 consultants and specialists strive every day to make a digital impact for businesses, public sector entities and society. Inetum’s solutions aim at contributing to its clients’ performance and innovation as well as the common good.

Present in 19 countries with a dense network of sites, Inetum partners with major software publishers to meet the challenges of digital transformation with proximity and flexibility.

Driven by its ambition for growth and scale, Inetum generated sales of 2.5 billion euros in 2023.

Job Description

🚀 We're Hiring: Data Scientist – GenAI & Machine Learning | Inetum 🚀

Are you ready to take your data science career to the next level? Inetum is seeking a mid-level Data Scientist with up to 5 years of experience to join our dynamic team and help build cutting-edge analytical solutions powered by Generative AI.

🎯 Deliverables

• Medium-complexity analytical models (regression, classification, clustering, ML on structured data).
• Implementation of code in Python or R.
• Integration of GenAI (LLMs or diffusion models) into real-world workflows: text generation, summarization, contextual classification, image creation, intelligent copilots.
• Robust pipelines including preprocessing, fine-tuning base models (e.g., LLaMA, Mistral, T5), metric evaluation (BLEU, ROUGE, perplexity), and controlled deployment via APIs.
  
  

Qualifications

• Degree in Software Engineering, Computer Science, or related field.
• Strong verbal and written communication skills.
• Experience with MySQL databases and REPO usage (preferred).
• Ability to work collaboratively across teams.
• Solid knowledge in data science and machine learning.
• Experience with Agile methodologies and tools like JIRA and Confluence (preferred).
• Advanced programming skills in Python, R, or SAS.
• Fluency in English (mandatory); Portuguese and Spanish (valued).
• Proven experience in developing and deploying ML models in production environments.
  
  

Highly Valued Experience

• Developing analytical solutions involving Generative AI.
• Building interactive data visualization tools for presenting complex results.