Live opening · Posted 14 hours ago
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About the role
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Position Summary:
This internship provides an opportunity to gain hands-on experience in data analysis, data
analytics, and customer engagement. This 8-week summer internship offers excellent growth
opportunities for highly motivated college students from quantitative disciplines with some
exposure to data analytics, model development and/or model validation. This is a client-facing,
project-based analytics role, and some travel to client sites may be expected as part of building
client relationships and setting projects on a solid foundation, but most of the company's work
can be conducted from Raleigh. The internship takes place in Summer.
Responsibilities:
● You will work as part of the company's small, fast-growing team, in coordination with
other teams and clients.
● You will work with large and complex datasets producing customized analyses and
advanced models using statistical techniques for the client’s needs.
● You will work on model development or validation with guidance from experienced
managers.
● You will work on summarizing, presenting and documenting the performed analyses and
features of the developed solutions in client-ready formats.
Qualifications:
● Working towards a Bachelor’s or Master’s degree in a quantitative discipline, e.g.
Mathematics, Statistics, Physics, Economics, Data Science, Computer Science or
Engineering.
● Strong analytics and communication skills.
● Experience in advanced analytics and data manipulation - R, SQL, Python.
● Experience to work effectively and collaboratively in a team, while being sufficiently
self-directed to meet deadlines and produce high-quality output when working
independently.
● Be able to find innovative, practical and flexible solutions to business issues.
● Excellent command of English language (verbal and written).
● Unrestricted US work authorization is required.
● The company does not offer visa sponsorship for this position.
Important: The successful application submission for the above role(s) will be conditional to
your profile evaluation by our AI system. We can let you know better once you submit your
resume.
Work arrangement
Yes
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