onsite
Senior Data & AI Specialist - CreditPlus Bank AG
Software Engineer
Lead design and implementation of data pipelines and AI solutions, leveraging Python, SQL, and cloud services to drive analytics and predictive modeling for banking operations.
About the role
Key Responsibilities
- Architect, develop, and maintain scalable data pipelines and ETL processes using Python, SQL, and Apache Spark.
- Design, train, and deploy machine learning models for fraud detection, credit scoring, and customer segmentation.
- Collaborate with business stakeholders to translate requirements into data‑driven solutions and actionable insights.
- Implement and manage cloud infrastructure on AWS, including data storage, processing, and model serving.
- Establish data governance, quality standards, and monitoring frameworks to ensure reliable AI outcomes.
Requirements
- 5+ years of experience in data engineering, analytics, or AI within the financial services sector.
- Proficiency in Python, SQL, and big‑data technologies such as Spark or Hadoop.
- Hands‑on experience building and operationalizing machine‑learning models (e.g., scikit‑learn, TensorFlow, PyTorch).
- Strong knowledge of AWS services (S3, Redshift, SageMaker, Lambda) and infrastructure‑as‑code practices.
- Excellent problem‑solving skills and ability to communicate complex technical concepts to non‑technical stakeholders.
Skills
pythonsqlmachine learningaws