Data Science Consultant

Company Description

Sia is a next-generation global management consulting group, founded in 1999, born in the digital era, data-augmented, creativity-enriched and responsibility-driven. Sia works with clients worldwide to tackle challenges and capture opportunities, delivering concrete results through sector and service expertise across an international footprint.

Sia also develops AI-driven solutions to increase the impact of its consulting engagements, and promotes sustainability through its "Consulting for Good" approach-leveraging expertise to support clients' ESG objectives and make sustainable development a performance driver.

Data-driven marketing has become central to strategy for many companies; Sia supports marketing organizations through data and advanced analytics to better understand consumers, optimize campaigns and improve strategic decision-making, across industries including luxury, consumer goods, banking or insurance.

Job Description

To support our growth in Singapore, Sia is recruiting a Data Science Consultant with strong expertise in Marketing, Customer and Product topics, with a focus on Luxury, Consumer Goods & Retail (LCG) use cases.

As part of Sia's Data Science teams, you will work with client operational teams and marketing/product leaders to frame data needs, analyze data, and deploy data science solutions that create measurable business impact.

Your work may include (depending on project needs):

• Data analysis & strategic decision support (insights, measurement frameworks, experimentation, KPI design)

• Machine Learning, statistics & Generative AI (from model design to deployment)

• Data engineering & DevOps (data preparation pipelines, reproducibility, industrialization)

• Data visualization and stakeholder-ready storytelling (dashboards, analytics apps)

• Data transformation & enablement (data literacy / acculturation, operating model, ways of working)

You will also contribute to Sia's internal development through:

• Offer building, training, communities of practice, and R&D initiatives

• Thought leadership (articles, studies) and participation in events

• Business development support (needs definition, proposals, opportunity identification)

Qualifications

Qualifications

• Bachelor's degree (or equivalent) from an engineering school or business school, with specialization in data science, statistics, and/or marketing analytics.
• 1+ years of experience delivering data/analytics projects in a marketing, customer, product or strategy context (consulting experience is a plus)
• Strong knowledge of data science & machine learning algorithms (supervised/unsupervised learning, clustering, etc.)
• Excellent programming skills in Python and SQL, and solid data modelling foundations
• Ability to manage projects end-to-end and communicate clearly with stakeholders at different seniority levels

Nice to have

• Experience with BI tools (Power BI, Tableau) and Python visualization/app frameworks (e.g., Dash/Plotly)
• Experience with Databricks (Jobs & Pipeline, Databricks Genie)
• Exposure to cloud environments (GCP, AWS and/or Azure)
• Strong interest in LCG business challenges (luxury, FMCG/consumer goods, retail), and the ability to connect analytics to commercial outcomes

Additional Information

Joining Sia means:

• Working on high-impact missions across a variety of sectors, leveraging data, AI and consulting to drive tangible outcomes
• Developing your skills through a wide range of training and data certifications
• Evolving in a stimulating environment combining client delivery with high-value R&D and knowledge sharing, including publications on Sia's data/AI channels
• To learn more about Sia's Data Science solutions showroom: heka.ai
• Sia is an equal opportunity employer: all employment decisions (recruitment, promotion, compensation, sanctions) are based solely on performance, skills, employee behavior, and business needs.

Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.