Job Description

The AI Analytics Data Scientist / Consultant will work within the Digital Practice to design and deliver end-to-end analytical solutions for corporate clients. The role spans the full data science lifecycle: diagnosing client analytics maturity, structuring data science problem statements, engineering features from internal and external datasets, building and tuning statistical and ML models, and translating outputs into executive-level insights and embedded deliverables. The successful candidate will operate as a consultant-calibre data scientist — technically rigorous and commercially fluent — capable of managing workstreams independently and presenting findings directly to senior client stakeholders.


Job Requirements

Requirement:

  • Minimum 3 years' experience in data science, analytics, or a digital consulting environment with hands-on modelling ownership
  • Advanced proficiency in Python and SQL across the full modelling workflow
  • Applied experience in statistical methods (regression, ANOVA, clustering) and ML/deep learning predictive modelling
  • Demonstrated ability to translate statistical findings into business-oriented insights for senior audiences
  • Fluent in business English, both written and verbal
  • Native-level Korean fluency is required

Qualifications: Bachelor's degree or above in Statistics, Computer Science, Industrial Engineering, or a related quantitative discipline.

Preferred:

  • Master's degree in a quantitative field
  • Experience with BI tools (Tableau, Power BI) and data pipeline work (API integration, DW/DM)
  • Exposure to Gen AI / LLM in an analytical context (prompt engineering, RAG, automated reporting)
  • Prior experience in a consulting firm or in-house strategy-and-data function
  • Sector exposure to consumer, retail, manufacturing, or e-commerce