Senior Data Scientist
About the role
The Senior Data Scientist will lead the development of advanced Machine Learning applications to support the bank's core risk, revenue, and analytics strategies. The role involves designing and deploying predictive models, including credit risk frameworks and hyper-personalization engines, ensuring they are robust, scalable, and integrated into the bank's digital ecosystem. Responsibilities include technical leadership, experimentation, integration of Agentic AI, and maintaining high engineering standards. Candidates should have significant hands-on experience in data science, prior relevant roles, and a background in finance is desirable. The company offers a collaborative environment focused on innovation in financial technology.
Must have
- Bachelor’s degree in Computer Science, Statistics, IT, or a related discipline.
- 5+ years in a hands-on data science or machine learning role.
- Previous roles: Data Scientist, Senior Data Scientist, Lead Data Scientist, or Senior ML Engineer.
- ML & Statistical Modeling: Expert-level Python, Pandas, SQL, Spark, and Scikit-learn.
- Deep Learning Frameworks: Proficiency in Keras, PyTorch or TensorFlow.
- Agentic AI (Secondary): Familiarity with LLM orchestration (LangChain/LangGraph) and Vector Databases.
- Data Platforms: Experience with GCP, BigQuery, and Hadoop.
- MLOps/Infra: Docker, Kubernetes, and Airflow for model orchestration.
- Ability to fit into the Combkan organization & IT culture.
- Excellent attention to detail and analytical skills, specifically regarding model lineage, bias, and governance.
- Strong communication skills to translate complex model metrics into actionable business insights for stakeholders.
Technologies
- Agentic AI
- Airflow
- BigQuery
- Data Science
- Deep Learning
- Docker
- GCP
- Hadoop
- Keras
- Kubernetes
- LangChain
- LangGraph
- LLM
- Machine Learning
- MLOps
- pandas
- Python
- PyTorch
- scikit-learn
- Spark
- SQL
- Statistics
- TensorFlow
- Vector Databases
Highlights
Applications should be sent to careers@orysys.com. The role is within the Combkan organization & IT culture. Equal opportunity employer. No explicit mention of remote work, location, or salary. Experience in the finance domain is highly desirable but not mandatory.
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