At a Glance
- Tasks: Analyse data, develop AI models, and collaborate on innovative projects.
- Company: Join Equifax, a leader in data and analytics with a focus on growth.
- Benefits: Enjoy competitive pay, flexible benefits, and 26 days holiday plus your birthday off.
- Why this job: Make a real impact in the AI field while developing your skills.
- Qualifications: Bachelor's degree in a numerical subject and experience in AI development.
- Other info: Supportive environment for personal development and career advancement.
The predicted salary is between 55000 - 65000 £ 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.
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.
- 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).
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.
At Equifax, we believe knowledge drives progress. As a global data, analytics and technology company, we play an essential role in the global economy by helping employers, employees, financial institutions and government agencies make critical decisions with greater confidence.
Equifax is an Equal Opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, ancestry, age, sex/gender, sexual orientation, gender identity or expression, service in the Armed Forces, protected veteran status, national origin, physical or mental disability, genetic information, citizenship status or any other status protected by law.
AI Consultant employer: Equifax, Inc.
Contact Detail:
Equifax, Inc. 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
Prepare for the interview by brushing up on your AI knowledge. Make sure you can discuss recent advancements in AI and how they relate to Equifax's work. Show them you're not just a candidate, but a passionate expert!
✨Tip Number 3
Practice your storytelling skills! When discussing your past projects, focus on the impact of your work. Use data to back up your claims and show how your contributions made a difference.
✨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 being part of the Equifax team.
We think you need these skills to ace AI Consultant
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for 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!
Showcase Your Technical Skills: Don’t forget to mention your proficiency in Python and any cloud-based AI platforms you’ve used. If you’ve got experience with specific AI techniques or tools, let us know! This is your chance to shine.
Communicate Clearly: When writing your application, keep it clear and concise. Use straightforward language to explain your achievements and how they relate to the role. Remember, we love a good story, so don’t hesitate to share your journey in data science!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at Equifax, Inc.
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI techniques, especially those mentioned in the job description like neural networks and natural language processing. Be ready to discuss your hands-on experience with cloud-based AI platforms and tools, as well as any projects you've worked on that showcase your skills.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex data analysis problems in the past. Think about the challenges you faced, the solutions you implemented, and the impact your work had. This will demonstrate your analytical prowess and ability to contribute to Equifax's innovative solutions.
✨Communicate Clearly
Since you'll be communicating results to stakeholders, practice summarising your findings in a clear and engaging way. Use storytelling techniques to make your analytical results relatable and impactful. This will show that you can bridge the gap between technical details and business needs.
✨Be a Team Player
Equifax values collaboration, so be prepared to discuss how you've worked effectively in teams before. Highlight your experience in guiding junior analysts and collaborating with product managers. This will show that you're not just a lone wolf but someone who thrives in a team environment.