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
