AI Consultant

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.

Our AI Consultant roles are unique. The ideal candidate is a rare hybrid, a scientist with strong technical skills in AI and machine learning, the programming abilities to scrape, combine, and manage data from a variety of sources and a statistician who knows how to derive insights from the information within. They will combine the skills to create new prototypes with the creativity and thoroughness to ask and answer the deepest questions about the data, what secrets it holds, and to push the boundaries of what is possible with big data.

What You’ll Do:

• Conduct in-depth analysis of data available to Equifax and its partners.
• Collaborate with product managers to conduct market research and validate product needs.
• Develop and test AI models and algorithms, utilizing platforms like Vertex AI and BQML.
• Contribute to the creation of business cases for proposed AI solutions.
• Evaluate the feasibility and potential impact of AI projects.
• Provide technical guidance and support to junior analysts.
• Be proficient in Python, stay up-to-date on the latest advancements in AI and machine learning.
• Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to independently prepare datasets, conduct analytics, and develop deployable solutions
• Collect, analyze and interpret large data assets to define and build multiple innovative solution components leveraging business and technical expertise. Support the analytical strategy by understanding critical technical capabilities and suggesting opportunities.
  Lead the development or projects with multiple deliverables, leveraging business and technical expertise.
• Work on high-complexity tasks in problems often within multiple business or analytical domains, collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc. encouraging enhanced solutions
• Package, summarize, visualize and perform storytelling on analytical findings and results for management and business users
• Communicate results to external stakeholders and mid level leadership, able to communicate business impact of work
• Evaluate the technical work of peer and junior data scientists, guiding them on deliverable quality and accuracy