Description

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

What experience you need

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 in a UK Credit Risk environment

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.

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 optimisation for accuracy and efficiency

What could set you apart

Experience with specific AI techniques, such as neural networks or natural language processing.

Knowledge of the financial services industry.

Contributions to open-source AI projects.

Experience with data visualization tools.

Passion for data science, data mining, machine learning and experience with big data architectures and methods

A Master's degree in a quantitative field (Statistics, Mathematics, Economics)

Key Skills

Education

Any Graduate