Strategy & Analytics

AI & Data

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 AI & Data 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.

AI & Data 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

Data Scientist

As a Data Science candidate, you will be expected to be hands-on & outcome focused to deliver end to end Data Science projects. You should also possess a proven track record of delivering & managing multiple Data Science projects through its complete lifecycle starting from defining the business problem to recommending action driven insights. You are expected to demonstrate leadership, analytical & project management qualities to not only execute projects independently but drive multiple projects to completion through collaboration, mentoring & consulting in a demanding environment.

Work you’ll do

• Liaison with on site and client teams to understand various business problem statements analytical requirements

• Provide suggestions on various machine learning algorithms to solve business analytics problems

• Drive for value proposition with best in class industry practices & latest algorithms

• Actively participate in client pursuits, proposals & bids

• Oversee & improve machine learning models developed by the team & identify scope for model improvements & best practices.

Qualifications

Required:

• Experience in descriptive & predictive analytics

• Education: Bachelors / Masters in a quantative fields. Analytics certificate programs from a premier institute will be preferred.

• Should have hands on experience implementing & executing Data Science projects throughout the entire lifecycle

• Expertise in Sentiment Analysis, Entity extraction, document classification, Natural Language Processing (NLP) & Natural Language Generation (NLG)

• Strong understanding of text pre-processing & normalization techniques such as tokenization

• Strong knowledge of Python is a must

• Strong SQL querying skills & data processing using Spark

• Hands on experience in data mining with Spark

• String expertise in any commercial data visualization tool such as Tableau, Qlik, Spotfire etc.

• Good understanding of Hadoop ecosystem