Data Scientist/Machine Learning Engineer

In this role, you will have the opportunity to work with Python, Machine Learning, and Banking model development. Your responsibilities will include interacting with clients to understand their requirements, brainstorming solutions, designing, building, and implementing credit risk models. You will also contribute to structuring the analytical approach, providing insights from analysis conclusions, and independently addressing complex problems. Additionally, you will design, implement, test, deploy, and maintain innovative data and machine learning solutions, collaborate with stakeholders, and ensure high-quality deliverables following machine learning best practices. Key Responsibilities: - Possessing 3+ years of experience in Python, Machine Learning, and Banking model development - Interacting with clients to understand requirements and brainstorm solutions - Designing, building, and implementing credit risk models - Structuring the analytical approach and providing insights from analysis conclusions - Independently addressing complex problems - Designing, implementing, testing, deploying, and maintaining innovative data and machine learning solutions - Collaborating with stakeholders to design and implement software solutions for science problems - Analyzing large datasets to identify trends and risk factors, ensuring data quality and integrity - Utilizing advanced statistical methods to build robust models - Staying updated with the latest methodologies and tools in credit risk modeling and R programming Qualifications Required: - Bachelor's degree in any discipline - Strong skills in Python, Predictive Modeling, Logistic Regression, Artificial Intelligence, Natural Language Processing, Machine Learning, Fraud detection, Deep Learning, Scikit-Learn, Numpy, Model Development, Data Science, RXgboost, Linear Regression, Pandas, and Statistical Modeling Please note that the job location is in Gurugram, Bangalore, or Hyderabad, and the notice period required is immediate to 30 days. In this role, you will have the opportunity to work with Python, Machine Learning, and Banking model development. Your responsibilities will include interacting with clients to understand their requirements, brainstorming solutions, designing, building, and implementing credit risk models. You will also contribute to structuring the analytical approach, providing insights from analysis conclusions, and independently addressing complex problems. Additionally, you will design, implement, test, deploy, and maintain innovative data and machine learning solutions, collaborate with stakeholders, and ensure high-quality deliverables following machine learning best practices. Key Responsibilities: - Possessing 3+ years of experience in Python, Machine Learning, and Banking model development - Interacting with clients to understand requirements and brainstorm solutions - Designing, building, and implementing credit risk models - Structuring the analytical approach and providing insights from analysis conclusions - Independently addressing complex problems - Designing, implementing, testing, deploying, and maintaining innovative data and machine learning solutions - Collaborating with stakeholders to design and implement software solutions for science problems - Analyzing large datasets to identify trends and risk factors, ensuring data quality and integrity - Utilizing advanced statistical methods to build robust models - Staying updated with the latest methodologies and tools in credit risk modeling and R programming Qualifications Required: - Bachelor's degree in any discipline - Strong skills in Python, Predictive Modeling, Logistic Regression, Artificial Intelligence, Natural Language Processing, Machine Learning, Fraud detection, Deep Learning, Scikit-Learn, Numpy, Model Development, Data Science, RXgboost, Linear Regression, Pandas, and Statistical Modeling Please note that the job location is in Gurugram, Bangalore, or Hyderabad, and the notice period required is immediate to 30 days.