Data Science Work From Home Internship

Selected intern's day-to-day responsibilities include:

1. Working with languages like in Java and/or Python
2. Working with machine learning frameworks and toolkits
3. Leveraging data assets to consistently make better decisions ahead of the competition
4. Deriving best practices across domains
5. Designing the Analytics Center of Excellence (ACE) that best fits specific client requirements

Note: Our culture-first approach to solving business problems through AI and data science enables rapid innovations with agile analytics that transform the workforce. With Knowledge Graphs analytics at the core of our solutions, we enable smart data ingestion, faster data visualization, reusable predictive analytics, and elastic content tagging.

Within the ACE, we enable our clients to harness the power of MIT's Enterprise Intelligence Hub (EIH), by deploying quick test-and-learn "pods" that allow them to co-create data science-driven solutions along with our data scientists. This way, value is realized from the data and its insights, and from the learning of new skills that are necessary to leverage contemporary analytics to accomplish business objectives.

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