Posted:8 hours ago|
Platform:
On-site
Internship
We are one of India’s premier integrated political consulting firms specializing in building data-driven 360-degree election campaigns. We help our clients with strategic advice and implementation which brings together data-backed insights and in-depth ground intelligence into a holistic electoral campaign. We are passionate about our democracy and the politics that shape the world around us. We draw on some of the sharpest minds from distinguished institutions and diverse professional backgrounds to help us achieve our goal. The team brings in 7 years of experience in building electoral strategies that spark conversations, effect change, and help shape electoral and legislative ecosystems in our country.
We are looking for a motivated and detail-oriented Statistics Intern to join our team. This internship offers an excellent opportunity to apply academic knowledge of statistics and data analysis in a real-world setting. The intern will assist in data cleaning, statistical modeling, visualization, and research reporting across various projects.
1.Assist in collecting, organizing, and cleaning datasets for analysis
2.Conduct basic statistical analyses (e.g., descriptive stats, cross-tabulations, hypothesis tests)
3.Support the development of charts, graphs, and summary reports
4.Help build and/or validate statistical models under supervision (e.g., regression, classification)
5.Collaborate with team members to interpret results and draw meaningful insights
6.Document methods and maintain organized records of code and findings.
1.Currently pursuing(Masters) or recently completed a Bachelor’s degree in Statistics, Mathematics,
Economics, Data Science, or a related field
2.Basic understanding of statistical concepts(Probability Statistics, Bayesian Inference, Hypothesis testing etc.)and data structures- query writing skills and data automation.
3.Familiarity with statistical software such as R,SPSS, Stata etc.
4.Working knowledge/Demonstrated ability to code using numerical/statistical/MLlibraries(NumPy,
Statsmodel, Pandas etc.) Python is a must.
5.Ability to work with datasets, conduct exploratory data analysis, and interpret output
6.Strong attention to detail and problem-solving abilities
7.Good written and verbal communication skills
1.Experience with data visualization tools or packages (e.g., ggplot2, matplotlib, Tableau)
2.Knowledge of survey data, experimental design, or basic machine learning techniques such as KNN and NLM’s.
3.Ability to write clean, reproducible code (e.g., using data automation tools in Excel such as VBA or python scripts.)
Varahe Analytics Private Limited
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