Intern, Data Science

• Cvent Data Science team is looking to hire Intern and is currently accepting applications
• The selected incumbent will typically focus on data analysis, ML modeling and Generative AI data products
• He/she would be involved in analysis for various areas across the organization ie, in Sales, Marketing, Technology, & Client Services
• The person is expected to understand end-to-end business processes
• Independently extract, prepare, and analyze data to support business initiatives (eg, revenue, profitability, performance, variance analysis etc)
• Develop solutions with minimal support
• Develop strategies using techniques and algorithms of data analysis & machine learning models for making meaningful and actionable recommendations
• Present and share data with other team members and to leadership

Stakeholder Management

• Collaborate with stakeholders at different levels to understand current processes, data being generated and identify optimization or growth opportunities.
• Strong ability to augment data and insights to drive scale and efficiency for our stakeholders and partners.

Data Analysis & Modeling

• Person would be required to work individually or as part of a team on data science & analytical projects.
• Define business problem and translate it into statistical/analytical problem.
• He/she would be developing statistical/machine learning models using various techniques (supervised, unsupervised, semi-supervised) and technologies including but not limited to Python, SQL, Databricks, Snowflake, ChatGPT, AWS, Excel etc
• He would be required to leverage NLP techniques for Topic Modelling and Keywords extraction.
• He would be required to leverage Open AI (Chat-GPT) for various tasks like text summarization and categorization, data gathering and analysis for generating interactive insights.
• Create data products on Streamlit and Sigma backed by machine learning models in conjunction with Chat-GPT

Heres What You Need:

• Strong analytical and problem-solving skills with an ability to distill data into important, relevant insights for business leaders.

Knowledge of concepts in statistics and machine learning would be desirable like

• Regression modelling (linear/logistic), supervised and unsupervised classification (Clustering), tree-based techniques (Decision trees /Random Forest) etc

Knowledge of Python, MS-Excel, SQL, and MS-PowerPoint would be desirable.

• At least knowledge of one programming language and RDBMS concepts

Familiarity with using Chat-GPT and interacting with it using prompts is desirable.

Strong and articulate verbal and written communication skills with attention to precision of language and ability to organize information logically.