Data Scientist | Machine Learning

Description

Job Summary: We are seeking a Senior Data Scientist to technically lead advanced Data Science and ML solutions, ensuring the operation, evolution, and quality of mature analytical projects—with direct impact on business outcomes and contribution to innovation. Key Highlights: 1. Essential contribution to advanced Data Science and Machine Learning solutions 2. Collaborative and innovative environment focused on continuous learning 3. Opportunity to combine technical depth with direct impact on business outcomes Job Description We are looking for a Senior Data Scientist to serve as the technical owner of advanced Data Science and Machine Learning solutions. This role is critical to ensuring the operation, evolution, and quality of mature analytical projects, supporting strategic innovation and digital transformation initiatives for our clients. Here, you will have the opportunity to combine technical depth with direct impact on business outcomes—contributing to 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:** Corporate 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 pipeline construction using 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, maintenance), applying CI/CD practices tailored for data and ML. * Contribute to enhancing 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. Qualification **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**. * Cloud experience, preferably **Azure**. * Technical autonomy to drive end-to-end solutions. **Preferred Qualifications** * Experience with LLMs, scalable ML pipelines, and data/model versioning tools. * Certifications in Azure, Data Science, or Machine Learning.