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For Companies At a Glance
- Tasks: Analyse data, develop AI models, and collaborate on innovative projects.
- Company: Equifax, a leader in data analytics with a focus on AI.
- Benefits: Competitive salary, flexible benefits, 26 days holiday, and personal development opportunities.
- Why this job: Join a dynamic team to push the boundaries of AI and make a real impact.
- Qualifications: Bachelor's degree in a numerical subject and experience in AI development.
- Other info: Exciting career growth in a supportive and inclusive environment.
The predicted salary is between 36000 - 60000 £ per year.
Overview
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
- 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 of 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 the 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 visualization 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
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AI Consultant employer: Kount
Contact Detail:
Kount 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 current or former employees at Equifax on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your AI projects, especially those involving Python and machine learning. When you get the chance to chat with recruiters, let your work speak for itself.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your coding skills and algorithms. Use platforms like LeetCode or HackerRank to sharpen your problem-solving abilities.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Equifax team.
We think you need these skills to ace AI Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the AI Consultant role. Highlight your technical skills in AI, machine learning, and programming, as well as any relevant projects you've worked on.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and how your background makes you a great fit for the role. Share specific examples of your work with data analysis and model development to grab our attention.
Showcase Your Projects: If you've worked on any interesting AI or machine learning projects, make sure to include them in your application. We love seeing real-world applications of your skills, so don't hold back!
Apply Through Our Website: For the best chance of success, apply directly through our website. This way, we can easily track your application and ensure it gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Kount
✨Know Your AI Stuff
Make sure you brush up on your AI and machine learning knowledge. Be ready to discuss specific algorithms, models, and tools like Vertex AI and BQML. Show them you’re not just familiar with the theory but can also apply it practically.
✨Data Storytelling is Key
Prepare to explain your analytical findings in a way that’s engaging and easy to understand. Think about how you can package your insights into a compelling narrative that highlights the business impact of your work.
✨Show Off Your Collaboration Skills
Since this role involves working with product managers and other teams, be ready to share examples of how you’ve successfully collaborated in the past. Highlight your ability to communicate complex ideas clearly and effectively.
✨Stay Current and Curious
Demonstrate your passion for AI by discussing recent advancements or projects you’ve been involved in. Mention any contributions to open-source projects or relevant certifications to show you’re committed to continuous learning.
