Data Scientist
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موقع الوظيفة:
الراتب شهرياً:
الخبرة المطلوبة:
تاريخ النشر:
نُشرت قبل 2 ساعة
عدد الوظائف الشاغرة:
1 عدد الوظائف الشاغرة
ملخص الوظيفة
Job Overview
We are seeking an experienced Data Scientist with a strong background in the banking sector specifically in credit risk analytics. The ideal candidate will have solid hands-on experience working on credit-related use cases and possess deep expertise in data science techniques and model development.
Key Responsibilities
- Develop and implement credit risk models to support lending and risk decision-making
- Work on projects related to credit scoring scorecards underwriting and loan analytics
- Analyze large datasets to derive actionable insights and improve risk strategies
- Build validate and monitor predictive models for risk assessment and portfolio management
- Collaborate with business risk and technology teams to translate requirements into data-driven solutions
- Ensure model accuracy performance and compliance with banking standards and regulations
Requirements
Required Skills & Experience
- 68 years of experience in Data Science preferably within the banking/financial services industry
- Strong hands-on experience in credit risk loans scoring platforms or underwriting models
- Expertise in statistical modeling machine learning and predictive analytics
- Proficiency in tools such as Python R SQL and data visualization tools
- Experience in developing scorecards and risk models is highly preferred
- Strong analytical thinking and problem-solving skills
Preferred Qualifications
- Prior experience working with banks or financial institutions
- Familiarity with regulatory requirements in credit risk modeling
- Excellent communication skills and ability to work with cross-functional teams
Benefits
Required Skills:
Mandatory Skills 5 years of hands-on experience in AI / ML / Generative AI / Agentic AI Prior experience implementing AI solutions in Banking or Financial Services delivering enterprise-scale production-grade systems Strong expertise in Python and SQL Microsoft Azure Cloud experience including: Azure OpenAI Azure AI Search Azure AI Document Intelligence Azure Vision Azure AI Foundry Agentic / LLM frameworks: LangGraph LangChain Advanced Prompt Engineering Computer Vision using OpenCV API development using FastAPI Git Docker Azure Container Services Azure Cosmos DB / Document DB CI/CD pipelines Good to Have Open-source AI technologies (YOLO models Deep Learning NLP) Agent orchestration frameworks: Semantic Kernel Microsoft Agentic Framework LLM evaluation metrics and frameworks (RAG evaluation custom benchmarks etc.) MCP (Model Context Protocol) Orkes (Agentic AI Workflow Automation Tool) Streamlit or Flask for rapid PoC development Microsoft Certification: Azure AI Engineer (AI-102) Preferred Candidate Profile Strong system design and architecture mindset Experience working on large-scale enterprise AI platforms Comfortable owning end-to-end delivery (design build deploy scale)
