Data Scientist Intern

Hype Invention
Full-timeColombo, Sri Lanka

About Hype Invention

Join our Digital Transformation Agency! We operate in the UK, Australia, Sri Lanka, and Malaysia, serving clients across industries like tech, facilities management, process automation, and finance. Our expertise spans digital marketing, AI development, AI as a service (AIaaS), and software development/SaaS solutions. As part of our team, you'll have the opportunity to broaden your skills and work on innovative projects that shape the future of digital transformation. Collaborate with extraordinary people, gain exposure to cutting-edge technologies, and enjoy benefits and development opportunities that will empower you both in and out of the office. If you're passionate about marketing, technology, and innovation, we’d love to hear from you!

Responsibilities:

  • Assist in developing and testing machine learning models for predictive analytics.
  • Support data collection, cleaning, and integration from multiple sources for analysis.
  • Help build interactive dashboards and reports using tools like Power BI or Looker Studio.
  • Conduct exploratory data analysis (EDA) to uncover trends and patterns.
  • Work with Python and SQL to manipulate data and build basic models.
  • Collaborate on Natural Language Processing (NLP) tasks such as sentiment analysis or text classification.
  • Contribute to research and experimentation with LLMs and AI tools like the OpenAI API.
  • Document findings and present insights to internal teams.
  • Stay updated with the latest trends in data science and AI.

Requirements:

  • Currently pursuing or recently completed a Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
  • Familiarity with Python and SQL for data analysis and basic modeling.
  • Exposure to data visualization tools like Power BI, Tableau, or Looker Studio (coursework or personal projects).
  • Basic understanding of machine learning concepts and algorithms.
  • Interest in Natural Language Processing (NLP) and large language models (LLMs).
  • Strong analytical and problem-solving skills.
  • Eagerness to learn and collaborate in a team environment.
  • Excellent communication and presentation skills.

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