Data Scientist - Data Wrangling

Responsibilities

• Familiarizing with data, to conceptualize its use. Transform data sets, quantitative and qualitative analysis into desired

data requirements

• Reviewing the code to spot any potential issues, which might have probability of having cascading future effects like

identify trends and patterns in the data or identify anomalies such as missing or incomplete values etc.

• Code automation & optimization and replacing referential user data with tech managed data platforms
• Create robust and auditable documentation
• Understand the data's audience and purpose and liaising with the data consumers, for mutual use of data to reduce time

to market

• Recommending strategy through testing or exploratory data analysis

Required Profile required

• Hands on working experience in SAS/ Python (3+ years)
• Should be familiar with data wrangling concepts like, cleaning, organizing, and transforming raw data into the desired

format, IRBA/IFRS9 models knowledge

• Experience working with Global Banks in their Risk & finance function
• Basic knowledge of programing languages like SQL & Python
• Dataiku knowledge would be an added advantage
• Should have good communication skill

Business insight