Data Scientist (Junior to Mid-Level)

About Our Client

Our client is a boutique analytics consulting firm specializing in data analytics and statistical modelling to deliver actionable insights for various industries. They currently have a strong focus on Tourism and Retail while actively expanding into additional sectors. Their work centers on helping clients make better decisions through rigorous quantitative analysis.

The Role: Data Scientist (Junior to Mid-Level)

The purpose of this role is to support a growing project pipeline by providing strong analytical skills and technical expertise. This role contributes to the business by translating client challenges into data-driven solutions and converting technical outputs into practical advice. The main focus areas include statistical modelling, AI/LLM applications, and supporting the full market research process.

Key Responsibilities

• 2-4 years of hands-on experience in data science, analytics, statistical modelling, or market research is required.
• Build, validate, and interpret statistical and predictive models including regression, cluster analysis, and dimension-reduction techniques.
• Apply AI engineering approaches and Large Language Models to solve client problems and analyse unstructured text data.
• Perform end-to-end data work including collection, cleaning, feature engineering, and quality assurance using Python, R, and SQL.
• Support the analytical market research process from survey design through to methodology selection and insight delivery.
• Assist in developing professional PowerPoint presentations to communicate complex findings and recommendations to clients.
• Collaborate with the team on project delivery, quality reviews, and client workshops.
• Utilize data visualization libraries or tools where required.

About You

• 2-4 years of hands-on experience in data science, analytics, statistical modelling, or market research.
• Bachelors or Masters degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field, or at least 4 years of relevant experience.
• Strong proficiency in Python and/or R.
• Solid SQL skills for data querying and manipulation.
• Practical exposure to AI/LLM applications and text analytics.
• Demonstrated ability to apply statistical/predictive models and multivariate techniques.
• Good working knowledge of Microsoft PowerPoint for creating client-ready decks.
• Industry or consulting experience in an analytical environment is ideal.