Senior Data Scientist

Job summary

Responsibilities

Do you get excited when a messy, ambiguous business problem finally yields to the right model? Do you think in systems, speak fluently across the technical-business divide, and want your work to do more than sit in a notebook — you want it to actually ship, scale, and matter?

• Designing and building end-to-end machine learning and statistical models that solve high-stakes business problems — from framing the question to deploying the solution
• Conducting rigorous exploratory data analysis to uncover patterns, anomalies, and opportunities that inform both technical and strategic decisions
• Translating complex model outputs and analytical findings into clear, compelling narratives for senior client stakeholders — making the technical accessible without dumbing it down
• Partnering with client teams and data engineers to ensure models are production-ready, scalable, and built on clean, reliable data pipelines
• Defining the analytical approach for client engagements — selecting the right methods, tools, and frameworks for the problem at hand, not just the ones you're most comfortable with

What they're looking for

• An undergraduate degree with strong academic performance
• 1–2 years of full-time experience in consulting, data/analytics, marketing, finance, or tech
• Outstanding verbal and written communication skills — you can represent Artefact confidently in front of clients
• Proven ability to collaborate across diverse, multicultural teams; strong intercultural communication skills are essential
• Advanced proficiency in Excel and PowerPoint

Tech stack

• Python
• SQL
• GCP
• AWS
• Azure