AI/ML & Data Analyst Internship

About Us We are building a fast-growing fintech platform focused on intelligent financial recommendations, transaction analytics, and data-driven automation. The role offers hands-on exposure to real-world datasets, AI/ML applications, analytics engineering, and product decision-making. Role Overview We are looking for highly driven Data Analyst Interns who can work across the full data lifecycle — from AI solutions, Automation, data gathering and cleaning to analytics, visualization, database design, and machine learning model development. This is not a “dashboard-only” internship. You will work on actual business problems involving large datasets, automation, prediction models, and product intelligence. Key Responsibilities • Identify opportunities for AI solutions and build and deploy • implement ML automations • Extract structured/unstructured data from websites, APIs, PDFs, and external sources • Clean, transform, validate, and organize raw datasets for analytics and ML use cases • Build and maintain SQL/NoSQL databases and data pipelines • Perform exploratory data analysis (EDA) and identify trends, anomalies, and business insights • Create dashboards, reports, charts, and visualizations for management and product teams • Develop AI/ML models for prediction, classification, recommendation, clustering, and automation • Work on NLP, transaction categorization, recommendation engines, and scoring models • Automate repetitive reporting and analytical workflows using Python scripts • Collaborate with product, engineering, and business teams to convert data into actionable insights • Document datasets, logic, workflows, and model outputs clearly Required Skills Technical Skills • Strong knowledge of Python • Good understanding of SQL and database concepts • Experience with Pandas, NumPy, Matplotlib, Seaborn, or Plotly • Familiarity with web scraping tools such as BeautifulSoup, Selenium, Scrapy, or APIs • Basic understanding of Machine Learning concepts and libraries like Scikit-learn • Knowledge of Excel/Google Sheets for data handling and reporting • Understanding of data visualization and reporting principles Good to Have • Experience with TensorFlow, PyTorch, or LLM integrations • Knowledge of Power BI, Tableau, or Looker Studio • Exposure to cloud platforms such as AWS, GCP, or Azure • Understanding of fintech, payments, or transaction data • Experience working with Firebase, Supabase, PostgreSQL, or MongoDB We are looking for candidates who: • Are curious and obsessed with solving problems using data • Can independently research and figure things out quickly • Have strong logical and analytical thinking • Can handle messy real-world datasets without getting overwhelmed • Are comfortable working in a startup-style fast execution environment • Care about accuracy, speed, and automation