Website KiteFishAI
Data Science & GTM Analytics Intern – KiteFishAI
Company: KiteFishAI (AI Research Lab)
Role Title: Data Science & GTM Analytics Intern
Location: Gurugram, Haryana, India
Target Education: Pursuing Undergraduate or Postgraduate Degree (Business Analytics, CS, Data Science, Economics, Stats, Engineering)
Industry: Artificial Intelligence, Sovereign Foundation Models, Agentic Systems, B2B AI Enterprise SaaS
Core Tool Stack: Python (Pandas, NumPy, Scikit-Learn), SQL, Business Intelligence (Power BI, Tableau, Looker), Spreadsheets, Statistical Forecasting
About KiteFishAI
Founded in 2026, KiteFishAI is an AI research lab dedicated to building domain-specific sovereign Large Language Models (LLMs), Small Language Models (SLMs), and agentic systems to make artificial general intelligence practical, reliable, and deployable for real-world enterprise applications.
Role Overview
KiteFishAI is seeking a Data Science & GTM Analytics Intern in Gurugram to sit at the intersection of data science, commercial strategy, and go-to-market (GTM) execution.
Working directly alongside the founding team, you will construct GTM analytics frameworks from the ground up. You will analyse sales funnels, pipeline conversions, customer churn metrics, and campaign efficacy—translating complex enterprise data into actionable GTM forecasts and automated executive dashboards.
Key Responsibilities
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GTM Dashboarding & Metrics: Design, automate, and maintain key commercial metrics dashboards tracking sales pipeline health, lead-to-pilot conversions, customer acquisition cost (CAC), and customer lifetime value (LTV).
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Customer & Funnel Analytics: Conduct root-cause analyses on deal drop-offs, customer churn factors, and feature usage to identify expansion opportunities across B2B enterprise segments.
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Predictive Modeling & Forecasting: Apply statistical modeling, regression techniques, and time-series forecasting in Python to project sales pipeline velocity and revenue trajectories.
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A/B Testing & Campaign Evaluation: Design statistical experiments to benchmark marketing channels, outreach strategies, and GTM campaign performance.
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Executive Storytelling: Present data findings and strategic recommendations to both technical foundation model researchers and business decision-makers.
Required & Preferred Qualifications
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Education: Currently pursuing a Bachelor’s or Master’s degree in Business Analytics, Data Science, Statistics, Economics, Computer Science, Engineering, or a related field.
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Technical Skills:
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Proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL query development.
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Solid grounding in basic probability, descriptive statistics, and linear regression.
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Experience with data visualisation platforms (Power BI, Tableau, or Looker) and spreadsheets.
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Preferred Experience: Prior experience in sales/marketing analytics, Kaggle competitions, A/B testing frameworks, or working within B2B SaaS/AI startup ecosystems (prior formal full-time experience is not required).
Sample Projects You Will Own
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Pipeline Funnel Modelling: Analysing conversion velocity from initial outreach → sales meeting → pilot onboarding → contract execution.
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Customer Segmentation: Building quantitative clustering models to identify high-converting enterprise buyer personas.
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Churn & Stalled Deal Analysis: Constructing decision tree or regression models to pinpoint indicators of deal friction.
Role Summary
| Attribute | Details |
| Job Title | Data Science & GTM Analytics Intern |
| Company | KiteFishAI |
| Location | Gurugram, Haryana, India |
| Domain | Sovereign LLMs, SLMs, Enterprise GTM Analytics |
| Target Education | Pursuing BS/MS/MBA in Quantitative Disciplines |
| Core Tech Stack | Python, SQL, Tableau/Power BI, Pandas, Scikit-Learn, Statistical Forecasting |
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