Data scientist / ML Engineer -- US Client (Analytics)

Salary : 20 to 35 LPA

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.