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Jobs or company...

Data Science Intern (Generative AI Team)

Salary undisclosed

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Linkedn
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COMPANY OVERVIEW

Lynx Analytics was founded in 2010 by a group of INSEAD students and professors with a strong research background in graph analytics. Several of our founders since then became professors and faculty directors of analytics centers at leading US universities. Our founding purpose? To apply graph theory to simplify and solve complex, real-world business problems.

Our mission has evolved over the years, and we currently offer a range of cutting edge data analytics and AI solutions to help companies transform their operations and optimise their commercial performance. Back then, graph theory was mostly the purview of social networking sites. We wanted to expand this technology and help companies leverage their communities to unlock greater growth.

Lynx has offices in Singapore, US, Hong Kong, Hungary, and operations in several other countries such as Canada, Germany, Indonesia. We work with some of the world’s largest companies and are constantly looking to expand our knowledge base and geographical footprint. Lynx Analytics’ technology is deployed with various Clients internationally and has significant growth potential.

We have a diverse and inclusive global team comprising Professors, PhDs, MSc’s, and MBAs from Ivy Leagues, INSEAD and NUS with a broad spectrum of experience in start-ups and blue-chip companies (Google, Databricks, ZS, Abbvie, Amgen, Vodafone, Morgan Stanley, Palantir, Katana Graph to name but a few). It is the combination of our industry insight and experience, scalable proprietary technology, and highly qualified people that drives our compelling value proposition.

We are looking for ambitious, innovative, empathetic and relentless team players to explore the career opportunities that we offer as we continue to scale our operations.

SUMMARY STATEMENT

The Data Science Intern will play a pivotal role within our innovative Data Science team, actively contributing to cutting-edge Generative AI projects. This role offers a unique opportunity to gain hands-on experience in advanced AI research, coding, and model testing. The ideal candidate is curious, analytical, and eager to apply their skills in working with large language models, transformers, and modern data science tools.

WHAT THIS INVOLVES

  • Conduct research, testing, and development tasks for Generative AI initiatives, working closely with senior team members.
  • Perform quantitative and qualitative analyses, including data acquisition, cleaning, and exploratory data analysis.
  • Assist in applying statistical modeling and optimization techniques tailored to solving Generative AI challenges, primarily using Python, under the guidance of senior data scientists.
  • Analyze and interpret test results, transforming them into actionable insights that drive the development of Generative AI products.
  • Provide comprehensive documentation of methodologies, modeling approaches, assumptions, and processes for future reference and reproducibility.

SKILLS, QUALIFICATIONS AND EXPERIENCE

  • Currently in the final year of a university degree / pursuing a postgraduate degree in Mathematics, Statistics, Economics, Computer Science, Engineering, or a related field.
  • Strong understanding of complex algorithms and their applications.
  • Proficient in Python for prototyping and testing analytical concepts.
  • Experience with Large Language Models (LLMs) and Transformers is a plus (e.g., Hugging Face, AutoTrain, PyTorch, PyG, OpenAI, or other relevant APIs).
  • Solid foundation in probability theory and statistics, with knowledge of basic data science concepts, metrics, and algorithms. Familiarity with transformers is a bonus.
  • Strong problem-solving abilities and analytical thinking.
  • Excellent verbal and written communication skills in English.
  • Participation in Kaggle challenges, presentations at meetups, maintaining a data science-related blog or GitHub page, or involvement in data science volunteer work is advantageous.
  • Available to start soon or immediately, with the ability to commit for at least 6 months
  • Part-time internships will also be considered

WHAT LYNX OFFERS

  • Collaborative Team Environment
  • Independence to work on specific topics with coaching and mentorship from senior colleagues
  • Gaining experience in Data Science and/or Artificial Intelligence
  • An international working environment with colleagues of diverse nationalities across offices in Europe and Asia
  • Flexible work hours and a hybrid work arrangement
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