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Lead Data Scientist
3 months ago
Sr. Data Scientist (AI/ML - Risk Modeling)
**About the Role:**
We are seeking a Sr. Data Scientist to join our AI Solution and Delivery team. You will drive innovation and deliver intelligent risk and fraud modeling solutions using data.
**Responsibilities:**
- Lead the data science lifecycle: data acquisition, cleaning, exploration, feature engineering, and model training.
- Develop machine learning pipelines using AI/ML and deep learning techniques for creditworthiness and fraud assessment.
- Create ML models for financial risk evaluation.
- Design and develop scoring algorithms for creditworthiness and customer segmentation.
- Monitor and evaluate model performance, identifying areas for improvement and retraining.
- Collaborate with engineers for model deployment.
- Stay updated on AI/ML advancements.
**Qualifications:**
- 7+ years in applied data science focusing on ML and financial modeling.
- Experience in financial risk modeling or telecom scoring, credit risk assessment, fraud detection, or customer churn prediction.
- Proven track record of deploying machine learning models in production.
- Strong knowledge of ML principles, algorithms, and frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
- Proficiency in Python, R, or Scala and data wrangling libraries (e.g., pandas).
- Experience with cloud platforms (AWS, GCP, Azure).
