
Data Science Innovator
5 days ago
Nutural Analytics is a pioneering startup aiming to make healthcare more intelligent, interconnected and accessible. Our mission revolves around harnessing Artificial Intelligence and Data Science to tackle intricate challenges in the sector.
We're not just developing tools; we're striving to create a smarter, patient-centric ecosystem that can:
- Detect diseases earlier through AI-driven diagnostics
- Improve patient outcomes with predictive analytics and real-time monitoring
- Reduce costs and inefficiencies for providers and patients
- Empower individuals with knowledge, preventive care, and better access to treatment
Our focus lies in innovation with tangible impact. We believe healthcare should address overall well-being, accessibility, and trust beyond mere illness treatment. With AI as our foundation, our goal is to make healthcare more personalized, preventive, and proactive.
About the Internship Opportunity
This internship offers an invaluable chance to contribute to:
- Designing, building, and testing AI-driven applications & autonomous agents.
- Data science tasks including data cleaning, analysis, and visualization.
- Writing and optimizing SQL queries to extract and manipulate data.
- Collaborating on web design for internal tools, dashboards, and marketing pages.
- Crafting engaging presentations for client demos and internal projects.
- Researching emerging AI tools, frameworks, and trends for practical applications.
Eligibility Criteria:
- Candidates must be at least in their 3rd year of college (or pursuing Master's/Ph.D.) in Computer Science, Data Science, AI/ML, or related fields.
- Strong fundamentals in Python, SQL, and data structures are required.
- Familiarity with machine learning frameworks (TensorFlow, PyTorch, scikit-learn) and web technologies (HTML, CSS, JavaScript, React, or similar) is desirable.
- Excellent problem-solving and analytical skills, along with strong communication and presentation abilities, are essential.
- A curiosity to learn and adapt quickly to new AI/tech tools and ability to dedicate 20–25 hours per week during the internship period are expected.
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