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Equifax Inc.

AI Consultant

Posted 8 Days Ago
Be an Early Applicant
3 Locations
Mid level
3 Locations
Mid level
The AI Senior Analyst at Equifax will analyze data, develop and test AI models using platforms like Vertex AI and BQML, manage large data assets, create innovative solutions, collaborate with teams on predictive models, and communicate findings to stakeholders.
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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. Want to know more?
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.

  • 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


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)

The Perks of being a Equifax Employee?

We offer a wide range of company supported benefits including contributory pension, life cover, income protection, healthcare, enhanced maternity and sick pay, 26 days holiday and a day off for your birthday, with the ability to buy and sell and free credit checks. We also offer flexible benefits ranging from cycle to work, discounted travel options, gym membership, dining and leisure discounts, financial & savings plans, mobile discounts plus much more!

We also support personal development and have a range of learning options including our global online learning platform and allow you to bring your whole self to work supported by our Inclusion and Diversity, Wellbeing and Employee Engagement forums.

Are you ready to power your possible?  Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!
 

Primary Location:

GBR-London

GBR-Leeds-6-Wellington, GBR-Nottingham

Function:

Function - Data and Analytics

Schedule:

Full time

Equifax Inc. London, England Office

1 Angel Court, London, United Kingdom, EC2R 7HJ

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