Assistant Manager - Data Science

Designation: Assistant Manager - Data Science

Experience: 5 ?to 8 years

Location : Bengaluru, Karnataka

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

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