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
Requirements
Bachelor's degree (2:1 or above) in a numerical subject (Computer Science, Mathematics, Statistics, Physics, Engineering)
Solid experience in data analysis, machine learning, and AI development
Hands-on experience with cloud-based AI platforms and tools
Proficiency in programming languages such as Python and SQL
Strong analytical and problem-solving skills
Ability to work independently and as part of a team
Good communication and presentation and visualisation skills
Strong experience in a related analytical role
Proven track record of designing and developing predictive models in real-world applications
Experience with model performance evaluation and predictive model optimization for accuracy and efficiency
Cloud certification strongly preferred
Additional role-based certifications may be required depending upon region/BU requirements