Senior Data Scientist – Python / PySpark / AWS (Hybrid) | Ref. 165135

Description

Job Summary: Join the technical team of a global banking group to participate in the migration and integration of Machine Learning repositories, standardizing and automating ML pipelines at enterprise scale. Key Highlights: 1. Participate in the migration and integration of Machine Learning repositories 2. Standardization and automation of ML pipelines at enterprise scale 3. Work with key technologies: Python, PySpark, AWS, Git, and GitHub **Senior Data Scientist – Python / PySpark / AWS (Hybrid) \| Ref. 165135** Hybrid Project Accenture Mon–Fri 9:00–18:00 **Mission** Join the technical team of one of the world’s largest banking groups to actively participate in migrating and integrating Machine Learning repositories into the bank’s global technology ecosystem. This role has direct impact on standardizing and automating ML pipelines at enterprise scale. **Project Context:** ML repositories hosted on GitLab are currently disconnected from the bank’s global technical platform, which is based on GitHub. The objective is to migrate and integrate them into the Group’s standardized ecosystem (Gluón), enabling automation, pipelines, and asset catalogs. **Responsibilities** * Migrate ML repositories from GitLab to GitHub, preserving full commit history * Rewrite and adapt pipelines to Gluón ecosystem standards * Connect migrated repositories to Gluón as official Group repositories * Validate correct migration of ML artifacts (models, datasets, etc.) * Collaborate with technical teams to ensure standards, quality, and traceability **Mandatory Requirements** * Strong knowledge of Machine Learning * Development experience with Python and PySpark * Proficiency in SQL (Hive and Spark SQL) * Advanced use of Git, GitHub, and Generative AI tools (Copilot, Cursor, or similar) * AWS experience * Hands-on, autonomous profile with strong focus on technical quality * Ability to work in complex and regulated environments **Nice-to-Have** * Prior experience in repository migrations or pipeline standardization * Knowledge of GCP **Selection Process** Recruiting screen → Technical interview → Client interview → Offer **Benefits** Collaborative environment and high-impact projects in thriving industries Connectivity bonus ️ Gym reimbursement PedidosYa credit ️ Statutory vacation days Health insurance: Swiss Medical or OSDE