Jr, AI and Data Consulting at Artefact North America | NY, US | Rezi

Jr, AI and Data Consulting at Artefact North America

Jr, AI and Data Consulting

Artefact North America · NY, US

3 weeks ago

Jr, AI and Data Consulting

Artefact North America · NY, US

23 days ago
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About the Role

Artefact is seeking an analytical, client-facing Junior AI & Data Consultant who is also a hands-on builder with AI. You will perform advanced analytics, interface directly with clients, and keep project efforts aligned and on track using AI tools natively. This role requires someone comfortable with the terminal and using AI tools for analysis, writing, and prototyping.

Responsibilities

  • Define client needs through interviews with client teams and technology partners.
  • Perform advanced data analysis and research on high-impact, strategic client problems.
  • Help build, formulate, and present strategic data and AI recommendations.
  • Keep internal project efforts aligned and on track, and interface with clients with confidence and care.
  • Use AI tools daily across your work: analysis, synthesis, writing, and quality checking — with the judgment to verify outputs.
  • Prototype ideas with agentic coding tools (Claude Code, Gemini CLI, Codex): a working demo, an automated analysis, a small internal tool.
  • Apply core GenAI concepts — prompting, RAG, agents, context engineering — well enough to explain them to clients and stress-test vendor claims.
  • Develop specialization in at least one AI platform ecosystem: Google (Gemini), Anthropic (Claude), or OpenAI.
  • Present insights to clients in clear, compelling language — to technical and non-technical audiences alike.
  • Contribute to new business proposals and to Artefact-published content (research, articles, business cases).

Requirements

  • 0-3 years of full-time work experience, ideally in consulting, data/analytics, marketing, advertising, finance, or tech.
  • Strong analytical skills and experience presenting data-driven recommendations to clients.
  • Hands-on AI literacy: regular use of AI tools for real work, and demonstrated willingness to build — prototypes, automations, analyses — with AI assistance.
  • Comfort with the terminal, and with tools like Claude Code or Gemini CLI (or clear evidence you'll get there fast).
  • Working knowledge of SQL and/or Python for data analysis; advanced Excel and PowerPoint/Google Workspace.
  • Excellent verbal and written communication skills, client-facing and intercultural.
  • A learning orientation: willingness to be mentored by Senior team members.
  • Undergraduate degree, preferably in business, technology, or another field related to our work.

Skills

  • SQL
  • Python
  • Excel
  • PowerPoint
  • Google Workspace
  • GenAI concepts (prompting, RAG, agents, context engineering)
  • AI platform ecosystems (Google Gemini, Anthropic Claude, OpenAI)
  • Agentic coding tools (Claude Code, Gemini CLI, Codex)

Location

  • NYC

Work Type

  • Hybrid

Experience Level

  • Junior
  • 0-3 years

Education Level

  • Undergraduate degree

Salary/Compensations

  • $85,000 - $105,000

Benefits

  • Medical coverage
  • Dental coverage
  • Vision coverage
  • 401(k) plan with company matching
  • Paid parental leave
  • Unlimited paid time off
  • Learning and Development opportunities
  • Hybrid Flexibility

About the Company

  • Artefact is a next-generation data and AI consulting firm dedicated to accelerating the adoption of data and AI to create measurable business impact across the full enterprise value chain.
  • We sit at the intersection of consulting, data science, AI technologies, data engineering, and digital transformation.
  • We do not just advise — we build, implement, and deliver results our clients can measure.
  • Our teams bring together consultants, data scientists, data engineers, AI engineers, analysts, and digital experts to solve complex business challenges with pragmatic, production-ready solutions.
  • As we continue to grow in the US, we are building a team of entrepreneurial data and AI talent who can help clients move beyond experimentation and into scalable, governed, value-generating AI adoption.