

Search by job, company or skills

Job: Data Scientist
Experience: 2-6 Years
Location: Bangalore
Commitment: Full-Time
Team: Data Science
What we are looking for:
Data Scientist preferably from financial services, large banks/MNCs.
• Own end to end business problems and metrics, build and implement ML solutions
• Design, experiment and evaluate innovative models for predictive learning
• Establish scalable, efficient, and automated process for large scale data analysis, feature creation, model development and deployment
•Exposure/Experience in developing Machine Learning models using various algorithms (logistic/linear, Random Forest. Xgboost ,etc)
• Strong background in business analysis (consumer/business strategy, financial products, pricing, etc.) with very strong data analysis (Sql, excel, etc,) experience
• Strong understanding of how to structure analysis and to solve real world business problems.
• Ability to identify key drivers of business and create KPIs/modeling solutions for the same,
• Expertise in end-to-end model development and model lifecycle management (develop, deploy, monitor) is preferred
• Hands on experience in R or Python is must
• Good business understanding of fintech/personal lending space is preferred
Responsibilities:
You'll work closely with the Product and Risk Team to:
Job ID: 152383447
Skills:
Java, C, Hadoop, Cassandra, Spark, Tableau, Predictive Modeling, Clustering, Sql, Python, Classification techniques
Skills:
Structured Query Language, Kubernetes, Python, generative AI applications, data analysis techniques, Relational Databases, large language models, agent frameworks, automated build test and deployment pipelines
Skills:
Python, MLOps practices, LLM architectures, fine-tuning techniques, evaluation metrics for generative models
Skills:
SAS, Sql, Python, Github, R, R-markdown, Jupyter notebooks
Skills:
Hadoop, Power Bi, Tableau, Sql, Seaborn, Pandas, Matplotlib, Spark, Python, Machine Learning Algorithms, Demand Forecasting, scikit-learn, data visualization tools, price optimization, statsmodels, inventory optimization