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Data Scientist (Tech MNC/ SQL / Python/ LLM / UP8.3K)

Salary undisclosed

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Data Scientist

A famous Tech MNC






The Opportunity

  • Adecco is partnering our client, a famous Tech MNC
  • We are looking for a Data Scientist
  • The role will start out as a contract
  • Candidates who are immediately available/ able to start work within short notice will be preferred



The Talent

  • Education in relevant field
  • Over 2 years of relevant work experience in data science or a related field
  • Proficiency in programming languages - SQL, Python
  • Strong background in LLMs and their applications
  • Tech/eCommerce industry experience will be a plus



Job Description

  • Design and deploy LLM-based applications with a focus on reliability, efficiency and flexibility
  • Fine tune LLMs using new training data to improve performance
  • Collaborate with different teams to identify and explore new opportunities for LLM applications.
  • Stay up-to-date with advancements in LLMs and ML technologies and apply this knowledge to enhance the solution.


Next Step

  • Prepare your updated resume (please include your current salary package with full breakdown such as base, incentives, annual wage supplement, etc.) and expected package
  • Send your resume to [email protected]
  • All shortlisted candidates will be contacted

Liu XinYang



EA Licence Number: 91C2918



Personnel Registration Number: R1988872

Data Scientist

A famous Tech MNC






The Opportunity

  • Adecco is partnering our client, a famous Tech MNC
  • We are looking for a Data Scientist
  • The role will start out as a contract
  • Candidates who are immediately available/ able to start work within short notice will be preferred



The Talent

  • Education in relevant field
  • Over 2 years of relevant work experience in data science or a related field
  • Proficiency in programming languages - SQL, Python
  • Strong background in LLMs and their applications
  • Tech/eCommerce industry experience will be a plus



Job Description

  • Design and deploy LLM-based applications with a focus on reliability, efficiency and flexibility
  • Fine tune LLMs using new training data to improve performance
  • Collaborate with different teams to identify and explore new opportunities for LLM applications.
  • Stay up-to-date with advancements in LLMs and ML technologies and apply this knowledge to enhance the solution.


Next Step

  • Prepare your updated resume (please include your current salary package with full breakdown such as base, incentives, annual wage supplement, etc.) and expected package
  • Send your resume to [email protected]
  • All shortlisted candidates will be contacted

Liu XinYang



EA Licence Number: 91C2918



Personnel Registration Number: R1988872