Data Scientist/Machine Learning Engineer

Job Description :

Exp : 3 to 8 years

Location : : 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

(ref:hirist.tech)