Equifax Inc. Logo

Equifax Inc.

AI Consultant

Reposted Yesterday
Be an Early Applicant
In-Office
3 Locations
Mid level
In-Office
3 Locations
Mid level
As an AI Consultant, you will analyze data, develop and test AI models, collaborate on product needs, and guide junior analysts, leveraging strong technical and analytical skills.
The summary above was generated by AI

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

Function:

Function - Data and Analytics

Schedule:

Full time

Top Skills

Bqml
Python
SQL
Vertex Ai

Equifax Inc. London, England Office

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

Similar Jobs

2 Days Ago
Remote or Hybrid
Staines, Surrey, England, GBR
Senior level
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Design and implement AI solutions on the ServiceNow platform while coordinating with developers and staying updated on emerging AI technologies. You will lead technical engagements and drive AI insights for client success.
Top Skills: AIAi SearchAPIsDeep LearningGenerative AiJavaScriptLdapPredictive Task IntelligenceSAMLServicenowSslVirtual AgentVpn
7 Days Ago
Remote or Hybrid
Staines, Surrey, England, GBR
Senior level
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
The Senior Advisory Solution Consultant will drive innovative AI and Data solutions, engage with stakeholders, and lead technical sales processes.
Top Skills: AIAnalyticsApi ManagementCloud PlatformsDataGenaiLlmsLow-CodeRag PipelinesRpaVector Databases
2 Days Ago
Hybrid
London, Greater London, England, GBR
Senior level
Senior level
Big Data • Information Technology • Productivity • Software • Analytics • Business Intelligence • Consulting
As a Senior Value Engineer, you will lead technical pre-sales engagements, analyze customer data using SQL and Python, and facilitate workshops for measuring value in the public sector and regulated industries.
Top Skills: Bi ToolsPythonRpaSAPSQL

What you need to know about the London Tech Scene

London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account