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Job Details
- 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).,
Other Details
- Industry IT Services & Consulting
- Recruiter Details Recro
- Job Tags python
- Job Type Full time
Key Skills
- ML
- Risk Modeling
- Data Acquisition
- Customer Segmentation
- Python
- R
- Scala
- GCP
- Azure
- AI
- Feature Engineering
- Machine Learning Pipelines
- Deep Learning Techniques
- Creditworthiness Assessment
- Fraud Assessment
- Financial Risk Evaluation
- Scoring Algorithms
- Model Performance Evaluation
- Model Deployment
- AIML Advancements
- Scikitlearn
- TensorFlow
- PyTorch
- Pandas
- Cloud Platforms AWS
Recruiter Details
- Recro
- Delhi
- hidden_email
- hidden_mobile
Company Details
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