Extract large data from various data sources using multiple tools such as Python/Pyspark/Databricks/ SQL etc., to perform multiple analysis Manage all analytical solutions that includes Design, Development, Validation, Calibration, Documentation, Implementation, Monitoring, and Reporting
Learn to generate Analytical Insights on various portfolios
Utilize latest data science techniques across both supervised and unsupervised machine learning methodologies, NLP, and development of new capabilities
Exposure to create detailed reports on projects delivered
### **Key Requirements:**
2025 pass\-outs with programming proficiency
Knowledge of Python packages and tools is preferred
Good Knowledge on application of Statistical Technique
Ability to interpret and translate data into meaningful insights
Excellent verbal and written communication skills in English
Good analytical and problem\-solving skills
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please visit https://bit.ly/3LMn4CQ.