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For Companies At a Glance
- Tasks: Dive deep into data analysis and develop cutting-edge AI models.
- Company: Join Equifax, a leader in data analytics and AI solutions.
- Benefits: Enjoy flexible work options and opportunities for professional growth.
- Why this job: Be at the forefront of AI innovation and make a real impact with your work.
- Qualifications: Bachelor's degree in a numerical field and solid experience in AI and machine learning required.
- Other info: Cloud certification preferred; passion for data science is a must!
The predicted salary is between 48000 - 84000 £ per year.
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:
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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.
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Lead the development or projects with multiple deliverables, leveraging business and technical expertise.
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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.
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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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Ability to work independently and as part of a team.
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Good communication, presentation, and visualization 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 optimization for accuracy and efficiency.
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Cloud certification strongly preferred.
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Additional role-based certifications may be required depending upon region/BU requirements.
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).
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AI Senior Analyst employer: Equifax, Inc.
Contact Detail:
Equifax, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Senior Analyst
✨Tip Number 1
Make sure to showcase your hands-on experience with cloud-based AI platforms like Vertex AI and BQML. Highlight any projects where you've developed and tested AI models, as this will demonstrate your technical skills and familiarity with the tools we use.
✨Tip Number 2
Emphasize your ability to communicate complex analytical findings effectively. Prepare examples of how you've presented data insights to stakeholders in the past, as strong communication skills are crucial for this role.
✨Tip Number 3
Showcase your problem-solving skills by discussing specific challenges you've faced in previous roles and how you overcame them using data analysis or machine learning techniques. This will help us see your analytical mindset in action.
✨Tip Number 4
If you have experience with specific AI techniques like neural networks or natural language processing, make sure to highlight that. Additionally, any contributions to open-source AI projects can set you apart from other candidates.
We think you need these skills to ace AI Senior Analyst
Some tips for your application 🫡
Highlight Your Technical Skills: Make sure to emphasize your strong technical skills in AI, machine learning, and programming languages like Python and SQL. Provide specific examples of projects where you've applied these skills.
Showcase Your Analytical Experience: Detail your experience in data analysis and the development of predictive models. Mention any hands-on experience with cloud-based AI platforms and tools, as well as your familiarity with model performance evaluation.
Communicate Effectively: Since the role requires good communication and presentation skills, ensure that your application clearly conveys your ability to summarize and visualize analytical findings. Use clear and concise language to demonstrate your storytelling capabilities.
Tailor Your Application: Customize your CV and cover letter to reflect the specific requirements mentioned in the job description. Highlight any relevant certifications, especially cloud certifications, and mention any contributions to open-source AI projects or experience in the financial services industry.
How to prepare for a job interview at Equifax, Inc.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with AI and machine learning in detail. Highlight specific projects where you've utilized Python, SQL, or cloud-based platforms like Vertex AI. Demonstrating your hands-on experience will set you apart.
✨Prepare for Problem-Solving Questions
Expect to tackle complex analytical problems during the interview. Practice explaining your thought process and how you approach data analysis, model development, and optimization. This will showcase your strong analytical and problem-solving skills.
✨Communicate Effectively
Since the role involves communicating results to stakeholders, practice summarizing your findings clearly and concisely. Use storytelling techniques to convey the business impact of your work, making it relatable to non-technical audiences.
✨Demonstrate Collaboration Skills
The job requires collaboration with product managers and other teams. Be ready to share examples of how you've successfully worked in a team environment, contributed to group projects, and provided guidance to junior analysts.
