Job Description :

Experience : 4 - 10Yrs

Location : Bangalore

Notice : Immediate - 20Days

Mode of Work : Hybrid

Role Overview :

Good hands on experience in data science and machine learning. The ideal candidate demonstrates analytical rigor, domain awareness, and the ability to work with large-scale data environments under guidance of senior practitioners.

Roles & Responsibilities :

Key Requirements :

- Strong experience in Classical Machine Learning :

1. Logistic Regression, Linear Regression

2. Decision Trees, Random Forest, XGBoost

3. Statistical modeling techniques

- Hands-on experience in Credit Risk Modeling ; Strong knowledge of PD / LGD / EAD models

- Experience with Python (Scikit-learn, Statsmodels) or SAS

- Strong SQL and data handling skills

- Hands-on experience in Cloud (AWS / Azure / GCP)

- Experience in model deployment (APIs, batch pipelines, or real-time scoring)

- Distributed Data Processing :

1. Practical exposure to Apache Spark using PySpark or SparkR

2. Experience querying and processing large datasets in distributed environments such as Databricks, AWS EMR, or equivalent platforms

3. Familiarity with SQL at scale including Spark SQL or Hive

Preferred Qualifications :

- Bachelor's degree in Statistics, Computer Science, Mathematics, or a related quantitative discipline

- Exposure to version control (Git) and collaborative development practices

- Awareness of data lakehouse architectures and partitioned data strategies