Artefact
AI Consultant
- Location
- 71 Robinson Rd 068895 Singapore
- Last checked
- Oct 26, 2026
About this role
Who we are
Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations. We specialize in data & AI transformation and data marketing to drive tangible business results across the entire enterprise value chain for our clients.
Artefact offers the most comprehensive set of data-driven solutions per industry, built on deep data science and cutting-edge AI technologies, delivering AI projects at scale in all industry sectors. From strategy to operations, we offer an end-to-end approach and solutions: data strategy, data quality and governance, data platforms, AI Factory, data-driven customer experience and marketing ROI. Our 1500+ employees operate in 22 countries (Europe, Asia, Americas, Middle East, Africa) and we partner with 1000+ clients, including some of the world’s top 300 brands such as Heineken, Mars, Samsung and L’Oréal.
What you will be doing:
Our Data Consulting department leads the way in effectively exploiting data & AI in all its forms. Do you want to help our clients define best-in-class data & AI strategies, drive transformations and build data & AI solutions that have impact? Join our dynamic consulting team and contribute to developing our international client portfolio!
As an AI Consultant, you will support national and international clients across various industries in developing and implementing innovative data & AI strategies. Your role will encompass:
- Client advisory: collaborate with clients alongside your (international) team to understand their business needs and goals, delivering data-driven recommendations that guide decision-making and strategy.
- Data Collection and organization: collect, clean, and prepare data for analysis, correcting errors and formatting it for statistical software.
- Ownership of project stream: drive individual workstreams, ensuring successful and timely delivery, in alignment with project goals.
- Data analysis and interpretation: use tools like Excel, SQL, and Python to analyze data, apply statistical techniques to uncover trends and patterns, and present clear, actionable insights to clients, ensuring clarity for both technical and non-technical audiences.