Data Science Consultant (Marketing)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Data Science Consultant (Marketing): Developing and deploying data science solutions for marketing, customer, and product domains with an accent on Luxury, Consumer Goods & Retail (LCG). Focus on building ML models, designing KPI frameworks, and creating stakeholder-ready data storytelling to drive business impact.
Location: 16 Raffles Quay, Singapore
Company
is a next-generation global management consulting group specializing in data-augmented and AI-driven solutions to tackle complex business challenges.
What you will do
- Frame data needs and deploy data science solutions that create measurable business impact for client operational teams.
- Perform data analysis and design strategic decision support tools, including measurement frameworks and KPI design.
- Develop and deploy Machine Learning, statistics, and Generative AI models.
- Build data engineering pipelines and implement DevOps for industrialization and reproducibility.
- Create dashboards and analytics apps for stakeholder-ready storytelling.
- Contribute to internal R&D, thought leadership articles, and business development proposals.
Requirements
- Bachelor's degree in data science, statistics, marketing analytics, or related engineering/business fields.
- 1+ years of experience delivering data/analytics projects in a marketing, customer, product, or strategy context.
- Strong knowledge of supervised/unsupervised learning and clustering algorithms.
- Proficiency in Python and SQL with solid data modelling foundations.
- Ability to manage end-to-end projects and communicate clearly with stakeholders at different seniority levels.
- Must be based in Singapore.
Nice to have
- Experience with BI tools such as Power BI, Tableau, or Python frameworks like Dash/Plotly.
- Experience with Databricks (Jobs, Pipeline, and Genie).
- Exposure to cloud environments including GCP, AWS, or Azure.
- Strong interest in LCG business challenges (luxury, FMCG, retail).
Culture & Benefits
- Engagement in high-impact missions across a variety of global sectors.
- Opportunity to develop skills through extensive training and data certifications.
- Stimulating environment combining client delivery with high-value R&D.
- Exposure to knowledge sharing and publishing through 's data/AI channels.
- Equal opportunity employer with decisions based solely on performance and skills.
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