📋 Context

As a Senior Data Scientist, you will lead the deployment, and optimization of ML/AI models across diverse use cases, from credit scoring to document analysis and generative AI. You’ll also shape best practices, build tools, and act as a key advocate for ML engineering excellence within and outside the organization.

Your responsabilities :

• Develop machine learning models and data pipelines to address various business challenges, enhancing system efficiency and accuracy. 

• Work closely with data engineers and machine learning engineers to ensure effective production deployment of models. 

• At Younited, Data Scientists also act as project managers on their topics. 

• Collaborate with a wide range of stakeholders: local business units across four countries (FR, IT, ES, PT) , risk, product, and support functions (finance, compliance, etc.), and local business units across four countries (FR, IT, ES, PT) to enhance products and processes through data-driven insights. 

• Experiment with new techniques and propose innovative solutions for operational challenges. 

• Your Scope 

• You will work in a rigorous and challenging environment to support the growth and scalability of Younited’s solution, committed to automating as many steps as possible in the credit approval decision process 

• Your models will have a direct financial impact on Younited 

• You’ll work on the topics of the Data Science AI team, which is developing & maintaining a wide range of solutions across the entire value chain of Younited, ranging from marketing to fraud detection, with a high focus on: 

• Deploying GenAI models for our operations (Customer Service, Granting decision, Collections & Marketing) 

• Open banking analysis (the root of our automated decision process) based on NLP models to extract and aggregate information of bank statements

🫵 About your profile

• Education: Master’s or PhD in Computer Science, Data Science, Applied Mathematics, or a related field.

• Experience: 5+ years in Machine Learning Engineering, with proven experience deploying and managing production-grade ML systems.

• Advanced expertise in Python and ML frameworks (PyTorch, scikit-learn, etc.).

• Deep understanding of Google Cloud Platform (GCP) and its services (Vertex AI, BigQuery, Cloud Functions).

• Mastery of MLOps practices (CI/CD, Docker, model registry).

• Familiarity with generative AI technologies and large-scale model deployment.

• Strong ability to document and communicate complex technical workflows.

• Strategic thinking and a focus on impactful, scalable solutions.

• Proactive and autonomous, with a passion for driving technical excellence.

• Collaborative mindset, with the ability to align cross-departmental goals.

• Business acumen and result-oriented approach, with a clear understanding of business challenges and the ability to align technical solutions with strategic objectives.

🤝 About your future manager

• His background :Guillaume has been working at Younited for 3 years and leads the central Data team, which is composed of three sub-teams: Data Science & AI, Analytics Engineering, and Machine Learning Engineering. His perspective on Younited’s working approach and the position:

• His view on the working approach at Younited and the position The Machine Learning Engineer plays a key role, as they are responsible for deploying innovative and high-performing models into production, sometimes on the critical path of a credit application, while ensuring these implementations comply with our production standards. They also provide tools for data scientists to make model development as efficient as possible.

🎁 Other benefits from joining Younited ?

• Offices in the center of Paris (9th)

• An international work environment and the opportunity to do a mission in one of our international offices (Barcelona, Lisbon and Roma)

• An entrepreneurship mindset and a teamwork spirit

• An individualized managerial and HR support during onboarding and throughout the Younited journey

• A continuous learning environment with the opportunity to take individual and collective trainings

• A particular attention to the work/life balance

• Support for young parents, including the opportunity of being part-time the week of return to the office

• - Hybrid remote policy (until 2 remote days per week)

• 33 days of paid leave

• Luncheon voucher card

• Team buildings in France, internationally and within your team

• A first video chat with Aurélien, Talent Acquisition Manager, to get to know each other and tell you more about Younited, our corporate culture & values (30’)

• An Interview with Guillaume, Head of data to discuss about the role and expectations (60’)

• Online Technical Test

• A Business Case to assess your skills (60’)

• Interview with a Lead Data Scientist (60’)