Data Science Internship

Location(s): Bangalore
Category: Others
Applications Start Date: 08 Feb. 2018
Degrees: B.E. / B.Tech
Stipend: 5K - 10K
Duration: 60 days
Last Date To Apply: 01 March 2018
Mode of Interview: Face-to-Face
Available Slots: 2

Intern Responsibilities

At Scalend (Bangalore), Interns are expected to be professionally well-versed with basic ethics, which includes arriving on time (as specified by the company), notifying the team leader of any deviations from the established schedule, and dressing to the standards of the organization and the work being performed. Respect the organization’s reporting structure and follow the policies and procedures of the organization.

During the internship tenure, intern will be be working on following verticals (in group or individually):

1. Working his/her way through large data sets in Excel.
2. Manipulating data through Python, R or Scala.
3. Working with statistical modeling, stats functions, etc.

Perks and Benefits

Experience Letter

Internship Certificate

Program Outcomes

Additional Instructions

1. Selected candidates for Data Science at Scalend will require to bring supporting documentation which includes all the marksheets, updated resume, certificates, recommendations letter (if any), etc.
2. Candidates currently pursuing their graduation or recent graduates can apply to this internship.

About Company

At Scalend, we help business understand their customers. We are passionate about enabling businesses find the known-knowns & unknown-unknowns from the maze of data that the business deal with.
The founding team has managed petabyte-scale Hadoop based analytical platforms that generated / saved millions of dollars for organizations.
The team has rich experience in complementing technologies – Teradata, the Hadoop ecosystem, NoSQL & Search tools (ElasticSearch, Solr), etc
We offer the right combination – Passion for Problem Solving & Technology expertise to help you jump-start your journey of discovery of insights on a Big data scale.


Apply today. This opportunity might not be there tomorrow.