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For Companies At a Glance
- Tasks: Analyse data, develop AI models, and collaborate on innovative solutions.
- Company: Join Equifax, a leader in data analytics and AI solutions.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Other info: Dynamic role with opportunities to lead projects and mentor junior analysts.
- Why this job: Make an impact in AI while working with cutting-edge technology and talented teams.
- Qualifications: Bachelor's degree in a numerical subject and experience in AI development.
The predicted salary is between 36000 - 60000 £ per year.
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:
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Conduct in-depth analysis of data available to Equifax and its partners.
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Collaborate with product managers to conduct market research and validate product needs.
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Develop and test AI models and algorithms, utilizing platforms like Vertex AI and BQML.
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Contribute to the creation of business cases for proposed AI solutions.
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Evaluate the feasibility and potential impact of AI projects.
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Provide technical guidance and support to junior analysts.
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Be proficient in Python, stay up-to-date on the latest advancements in AI and machine learning.
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Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to independently prepare datasets, conduct analytics, and develop deployable solutions
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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
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Package, summarize, visualize and perform storytelling on analytical findings and results for management and business users
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Communicate results to external stakeholders and mid level leadership, able to communicate business impact of work
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Evaluate the technical work of peer and junior data scientists, guiding them on deliverable quality and accuracy
What experience you need
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Bachelor’s degree (2:1 or above) in a numerical subject (Computer Science, Mathematics, Statistics, Physics, Engineering).
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Solid experience in data analysis, machine learning, and AI development in a UK Credit Risk environment
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Hands-on experience with cloud-based AI platforms and tools.
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Proficiency in programming languages such as Python and SQL.
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Strong analytical and problem-solving skills.
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Good communication and presentation and visualisation skills.
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Strong experience in a related analytical role
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Proven track record of designing and developing predictive models in real-world applications
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Experience with model performance evaluation and predictive model optimisation for accuracy and efficiency
What could set you apart
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Experience with specific AI techniques, such as neural networks or natural language processing.
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Knowledge of the financial services industry.
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Contributions to open-source AI projects.
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Experience with data visualization tools.
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Passion for data science, data mining, machine learning and experience with big data architectures and methods
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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
AI Consultant employer: Equifax
Contact Detail:
Equifax Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Consultant
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, models, and any relevant work you've done. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common AI-related questions and case studies. Practice explaining your thought process and how you approach problem-solving, as this is key for roles like an AI Consultant.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you a better chance at landing that dream job.
We think you need these skills to ace AI Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Consultant role. Highlight your experience with data analysis, machine learning, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a great fit for our team. Don't forget to mention any specific tools or platforms you've used that relate to the job.
Showcase Your Projects: If you've worked on any cool AI projects, make sure to include them in your application. Whether it's a personal project or something from a previous job, we love seeing real-world applications of your skills!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you'll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at Equifax
✨Know Your AI Stuff
Make sure you brush up on the latest advancements in AI and machine learning. Be ready to discuss specific techniques like neural networks or natural language processing, as well as your hands-on experience with platforms like Vertex AI and BQML.
✨Showcase Your Analytical Skills
Prepare to talk about your experience in data analysis and how you've developed predictive models in real-world applications. Bring examples of projects where you've evaluated model performance and optimised for accuracy and efficiency.
✨Communicate Effectively
Since you'll need to communicate results to stakeholders, practice summarising complex analytical findings in a clear and engaging way. Think about how you can package your insights into a compelling story that highlights the business impact of your work.
✨Collaborate and Lead
Be ready to discuss your experience working in teams and leading projects. Highlight any instances where you've provided technical guidance to junior analysts or collaborated with product managers to validate product needs.