Are you an experienced, passionate pioneer in technology - a solutions builder, a roll-up-your-sleeves technologist who wants a daily collaborative environment, think-tank feel and share new ideas with your colleagues - without the extensive demands of travel? If so, consider an opportunity with our Project Delivery team.

Work you'll do/Responsibilities

• Be part of the team engaging with client to provide services in the Data Engineering and Analytics functions in different parts of their business by providing the augmented strength to support the project delivery and execution
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The Team

In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.

The Analytics & Cognitive team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.

Analytics & Cognitive will work with our clients to:

• Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms
• Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions
• Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements

Qualifications

Required

• Strong background in SQL
• Experience in data visualization tools such as Tableau
• Strong background in Python for Data Analysis
• Experience in banking/ credit cards/ payments industry
• Preferred experience in the following:
• Experience in analytical systems in Spark SQL, PySpark/Hadoop as well as experience using Notebooks
• Supervised and unsupervised Machine learning, A/B testing and causal modeling
• Engage with business, engineering, product management teams as a thought partner
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