
Data Modeling Expert
1 day ago
We are seeking an experienced Senior Data Scientist to join our team in a permanent role. This position offers the opportunity to design, develop, and deploy cutting-edge machine learning solutions tailored to the banking domain.
Key Responsibilities:
- Develop and productionize ML models aligned with core banking use cases.
- Apply advanced statistical methods, including regression, clustering, and neural networks, to solve business problems.
- Design and implement ML solutions on cloud platforms, preferably Azure.
- Lead and mentor junior data scientists and engineers on AI/ML initiatives and proof-of-concept projects.
- Write efficient, scalable code using Python, R, and Java.
- Collaborate with cross-functional teams and communicate insights and results to technical and non-technical stakeholders.
Required Skills & Experience:
- 8+ years of hands-on experience in Machine Learning, Deep Learning, and Natural Language Processing (NLP).
- Proven experience deploying ML models into production, particularly on Azure (preferred).
- Strong programming skills in Python, R, and Java.
- Experience with big data technologies such as Apache Spark and Hive.
- Proficient in data visualization tools like D3.js and ggplot (or similar).
- Strong understanding of MLOps practices and scalable ML architecture.
- A portfolio on GitHub or Kaggle is highly desirable.
This exciting role provides opportunities for professional growth and development, working with a talented team of experts in the field.
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