Want to get hired at Basal AI?
Data Scientist Intern
Basal AI
HybridHybrid
Original Job Summary
Data Scientist Intern
Company: Basal Analytics (Basal AI)
Location: Remote (India)
Duration: 6 Months Full-time Internship
Compensation: Paid Internship with Monthly Stipend
Company Description
Basal AI is an Enterprise AI and Analytics firm focused on unlocking growth opportunities and enhancing process efficiencies through Generative AI. Founded by AI and software development experts, the company specializes in creating customized data products using advanced hybrid models.
Role Overview
The Data Scientist Intern will support Large Language Model (LLM) applications, Azure AI services, Copilot Studio Agents, and Power Platform solutions. Work involves LLM research, prompt engineering, Python-based data analysis, and developing intelligent business applications.
Responsibilities
- Experiment with LLM-based applications including prompt design and optimization.
- Support the implementation of Azure AI/Foundry Models and Copilot Studio Agents.
- Perform Python data wrangling, exploratory data analysis, and feature engineering.
- Build and automate business workflows using Power Platform tools.
- Collaborate with senior AI engineers and data scientists on AI-driven solutions.
- Stay updated with trends in Generative AI, data science, and Power Platform technologies.
Qualifications
- Strong proficiency in Python programming.
- Familiarity with LLMs and Generative AI concepts.
- Solid analytical skills and data science knowledge.
- Understanding of AI-driven automation frameworks.
- Strong problem-solving abilities.
- Pursuing or recently completed a Bachelor’s or Master’s in Computer Science or related field.
- Experience with Power Apps is required.
Key skills/competency
- Python
- LLM
- Generative AI
- Data Analysis
- EDA
- Feature Engineering
- Azure AI
- Power Platform
- Prompt Engineering
- Automation
How to Get Hired at Basal AI
🎯 Tips for Getting Hired
- Customize your resume: Highlight Python and AI project experience.
- Research Basal AI: Understand their AI and analytics focus.
- Prepare technical answers: Review LLM and data analysis concepts.
- Showcase internships: Emphasize academic and project work.
📝 Interview Preparation Advice
Technical Preparation
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Review Python programming and scripting basics.
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Study LLM and generative AI research papers.
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Practice data wrangling and EDA techniques.
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Familiarize with Azure AI and Power Platform kits.
Behavioral Questions
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Describe a challenging project scenario.
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Explain time management during complex tasks.
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Discuss teamwork in academic projects.
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Share conflict resolution experiences during collaborations.