Data Science Innovation Specialist

6 hours ago

Rajahmundry, Andhra Pradesh, India beBeeArtificialintelligence Full time ₹ 9,00,000 - ₹ 12,00,000
AI Internship Opportunity

Nutrail Cognitive Analytics is a startup that harnesses AI, Data Science, and Automation to solve healthcare challenges.

We work towards creating a smarter healthcare ecosystem that:

  • Detects diseases earlier through AI-driven diagnostics
  • Improves patient outcomes with predictive analytics and real-time monitoring
  • Reduces costs and inefficiencies for providers and patients
  • Empowers individuals with knowledge, preventive care, and better access to treatment

Our focus is on innovation with real-world impact. We believe healthcare should improve overall well-being, accessibility, and trust.

About the Internship Responsibilities

The selected intern's tasks include:

  1. Designing, building, and testing AI-driven applications & autonomous agents.
  2. Supporting data science tasks including data cleaning, analysis, and visualization.
  3. Writing and optimizing SQL queries to extract and manipulate data.
  4. Contributing to web design for internal tools, dashboards, and marketing pages.
  5. Creating and delivering engaging presentations for client demos and internal projects.
  6. Collaborating with the founder on brainstorming and implementing creative AI use cases.
  7. Researching emerging AI tools, frameworks, and trends for practical applications.
Eligibility Requirements

Qualifications for candidates include:

  • Current enrollment in 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.
  • Experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn) or familiarity with web technologies (HTML, CSS, JavaScript, React).
  • Excellent problem-solving and analytical skills.
  • Ability to communicate effectively and present ideas clearly.
  • Curiosity to learn and adapt quickly to new AI/tech tools.
  • Commitment to dedicate 20–25 hours per week during the internship period.

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