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

Description

Job Summary: Join a technical team to participate in the migration and integration of Machine Learning repositories, standardizing and automating ML pipelines at enterprise scale. Key Highlights: 1. Participation in the migration and integration of Machine Learning repositories. 2. Standardization and automation of ML pipelines at enterprise scale. 3. Collaborative environment and high-impact projects in booming industries. **Data Scientist (Senior) – Python / PySpark / AWS (Hybrid) \| Ref. 165135** Hybrid Project Accenture Mon–Fri 9:00–18:00 **Mission** Join the technical team of one of the largest banking groups globally 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 goal is to migrate and integrate them into the Group’s standard ecosystem (Gluón), enabling automations, pipelines, and asset catalogs. **Responsibilities** * Migrate ML repositories from GitLab to GitHub while 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 * Python and PySpark development experience * Proficiency in SQL (Hive and Spark SQL) * Advanced usage 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 highly regulated environments **Bonus Points** * 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 booming industries Connectivity bonus ️ Gym reimbursement PedidosYa credit ️ Statutory vacation days Health insurance: Swiss Medical or OSDE