Senior Analyst - Data Science

Designation: Senior Analyst - Data Science

Experience: 3 to 6 years

Location : Bengaluru, Karnataka

Job Description:

We are seeking a Data Scientist with foundational to intermediate experience in data science and machine learning. The ideal candidate demonstrates analytical rigour, domain awareness, and the ability to work with large-scale data environments under guidance of senior practitioners.

Responsibilities

• To build complex risk and financial models . The role requires strong analytical thinking, problem-solving ability, and effective communication skills to engage with stakeholders across all levels. A track record of navigating complex business issues and aligning diverse perspectives is highly valued.

Skills

Domain Knowledge · Working knowledge of a relevant business domain such as Banking and Financial Services, Retail, Healthcare, or Telco · Ability to interpret data findings within a business context and contribute to data studies including profiling, quality assessment and exploratory analysis · Familiarity with data governance concepts and structured analytical workflows Classical Machine Learning · Hands-on experience with core supervised and unsupervised learning techniques including regression, classification, clustering, and dimensionality reduction · Proficiency in Python or R for model development, feature engineering and evaluation · Working knowledge of libraries such as scikit-learn and statsmodels · Understanding of model validation techniques, performance metrics, and basic statistical inference Distributed Data Processing · Practical exposure to Apache Spark using PySpark or SparkR · Experience querying and processing large datasets in distributed environments such as Databricks, AWS EMR, or equivalent platforms · 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