Data Scientist/Machine Learning Engineer

Job Description :

Exp : 3 to 8 years

Location : Gurugram/Bangalore/Hyderabad

Notice : Immediate to 30 days..!!

Roles & Responsibilities :

• 3+ years exp on Python, ML and Banking model development

• Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development : Design, build, and implement credit risk model.

• Contribute to how analytical approach is structured for specification of analysis

• Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems

• 3+ years exp on ML/Python (predictive modelling).

• Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business.

• Create experiments and prototype implementations of new learning algorithms and prediction techniques

• Collaborate with product managers, and stockholders to design and implement software solutions for science problems

• Use machine learning best practices to ensure a high standard of quality for all of the team deliverables

• Has experience working on unstructured data ( text ) : Text cleaning, TFIDF, text vectorization

• Hands-on experience with IFRS 9 models and regulations.

• Data Analysis : Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity.

• Statistical Analysis : Utilize advanced statistical methods to build robust models, leveraging expertise in R programming.

• Collaboration : Work closely with data scientists, business analysts, and other stakeholders to align models with business needs.

• Continuous Improvement : Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

Education :

UG : Any Graduate

Key Skills :

Skills highlighted with are preferred keyskills

• Python

• Predictive Modeling

• Logistic Regression

• Artificial Intelligence

• risk modeling

• Natural Language Processing

• Machine Learning

• Fraud detection

• Deep Learning

• Scikit-Learn

• Numpy

• Model Development

• Data Science

• RXgboost

• Linear Regression

• Pandas

• Statistical Modeling