Consultant - Data Science & Machine Learning, Data Engineering
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Key skills for this role
About the Role
**Role Description** * Play a techno\-functional role \- combine business with understanding of data and machine learning tools to lead workstreams and projects of low to medium complexity * Handle large volume of data for generating business insights for the clients * Work independently on analytical platforms like SAS, Python etc. * Work independently to manage data using platforms like SQL, Oracle, SAS and ability to develop data pipelines * Work with the team to deli
Key Skills for This Role
Full Job Posting
Role Description
- Play a techno-functional role - combine business with understanding of data and machine learning tools to lead workstreams and projects of low to medium complexity
- Handle large volume of data for generating business insights for the clients
- Work independently on analytical platforms like SAS, Python etc.
- Work independently to manage data using platforms like SQL, Oracle, SAS and ability to develop data pipelines
- Work with the team to deliver on client engagement. Actively participate in client meetings and deliver client presentations independently to mid level management
- Problem solve technical and business issues with the team. For example how to define an event in a model or logic of the program that will extract the data from client system and load into the model mart
- Solid understanding of Banking Industry
Skill Set
- Excellent problem solving and client communication / client management skills
- At least 36 months of relevant work experience into any of the domains - big data, financial crimes and forensics, risk management, marketing analytics
- Prior experience in advanced analytivs, data and technology is a must. Knowledge in SAS, Python, R or any other analytical platform is important
- Hands on experience of working with large scale data through at least simple SQL queries
- Ability to work in teams
- Never say die attitude and openness to work in unstructured business environment
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