Data Scientist | Machine Learning

Description

Job Summary: We are seeking a Senior Data Scientist to technically lead advanced Data Science and Machine Learning solutions, working on mature and strategic innovation and digital transformation projects. Key Highlights: 1. Serve as the technical lead for advanced Data Science and ML solutions 2. Work in a collaborative, innovative, and purpose-driven environment 3. Develop and maintain supervised and unsupervised models Job Description We are looking for a Senior Data Scientist to serve as the technical lead for advanced Data Science and Machine Learning solutions. This role is critical to ensuring the operation, evolution, and quality of mature analytical projects, contributing to strategic innovation and digital transformation initiatives for our clients. Here, you will have the opportunity to combine deep technical expertise with direct impact on business outcomes, participating in solutions that influence real-world decisions at scale. If you wish to work in a collaborative, innovative, and purpose-driven environment, this is the ideal place to grow. At Avanade, we value continuous learning, autonomy, and co-creating solutions that transform businesses and people. **Together we do what matters.** **Learn more about some of our benefits:** * Meal or food allowance * Multibenefit Card (up to Senior Consultant) * Health and dental insurance * Certifications and training * Life insurance * Private pension plan * **Avababy:** pregnancy support program and welcome kit for new parents * Company profit-sharing program * Wellhub * Childcare assistance * Career mentoring * Birthday Off policy (one paid day off during your birth month) * Well-being sessions * **For managerial roles:** company vehicle, parking allowance, and fuel assistance **Responsibilities** * Develop, evolve, and maintain supervised and unsupervised models (churn, risk, anomaly detection, segmentation, recommendation). * Apply NLP and generative AI techniques, including prompt engineering, response evaluation, and building pipelines with LLMs and transformers. * Implement and optimize data pipelines in Python, SQL, and PySpark, ensuring data integrity, versioning, and traceability. * Manage the full lifecycle of production models (deployment, monitoring, and maintenance), applying CI/CD practices tailored for data and ML. * Contribute to the evolution of existing pipelines, improving performance, scalability, and reliability. * Collaborate with the technical team, mentoring junior professionals, reviewing code, and participating in architectural decisions. * Work autonomously, escalating strategic decisions when necessary. Qualifications **Skills and Experience** **Required qualifications** * Proven experience in applied Data Science. * Strong proficiency in **Python**, **SQL**, and **PySpark**. * Practical experience with **NLP** and **Generative AI**. * Real-world experience in production environments and **MLOps**. * Experience with cloud platforms, preferably **Azure**. * Technical autonomy to drive end-to-end solutions. **Preferred qualifications** * Experience with LLMs, scalable ML pipelines, and tools for data/model versioning. * Certifications in Azure, Data Science, or Machine Learning.