myGwork - LGBTQ+ Business Community · 2 days ago

Data Science Intern

New York, United States

Internship, Full-time

Onsite

Intern Level

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Responsibilities

Under the guidance of a supervisor, undertake ad-hoc research into the website metrics of www.un.org and associated website properties, providing insights into website performance and audience engagement.

Develop dashboards and data visualizations.

Perform content analysis across UN system websites.

Investigate tools and techniques to facilitate aggregation of content from across UN system websites.

Make recommendations on tools and technologies.

Implement automated processing of data capture and manipulation using scripting technologies (e.g. Python) where applicable.

Utilize generative AI tools, such as ChatGPT, to manipulate and generate web content.

Develop custom GPTs based on the needs of UN Global Communications.

Create automated content production pipelines via scripting techniques utilizing generative AI tools, such as ChatGPT.

Qualification

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Computer literacyData analysisMachine learningProgrammingPythonRPandasMatplotlibSeabornTableauScikit-learnTensorflowPytorchEnglish fluencyProblem-solvingInterpersonal communicationUN Language KnowledgeBilingual

Required

Enrolled in or have completed a graduate school programme (second university degree or equivalent, or higher) OR enrolled in or have completed the final academic year of a first university degree programme (minimum bachelor’s degree or equivalent)

Computer literate in standard software applications

Demonstrated keen interest in the work of the United Nations and personal commitment to the ideals of the UN Charter

Demonstrated ability to successfully interact with individuals of different cultural backgrounds and beliefs

Completed online application (Cover Note and Personal History Profile)

Strong academic record and relevant coursework in data analysis, machine learning, and programming

Proficiency in programming languages such as Python or R

Experience with data analysis and visualization tools (e.g., Pandas, Matplotlib, Seaborn, Tableau)

Familiarity with machine learning libraries and frameworks (e.g., Scikit-learn, TensorFlow, PyTorch)

Fluency in English