At a Glance
- Tasks: Analyse data, develop AI models, and collaborate on innovative projects.
- Company: Equifax, a leader in data analytics and AI solutions.
- Benefits: Competitive salary, flexible benefits, 26 days holiday, and personal development opportunities.
- Other info: Exciting career growth and a supportive, inclusive work environment.
- Why this job: Join a dynamic team and make a real impact with cutting-edge AI technology.
- Qualifications: Degree in a numerical subject and experience in AI and machine learning.
The predicted salary is between 36000 - 60000 £ 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.
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 business impact of work.
- Evaluate the technical work of peers 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 in a UK Credit Risk environment.
- 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.
- Good communication, 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.
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).
AI Consultant in London employer: Equifax, Inc.
Equifax is an exceptional employer that fosters a dynamic and innovative work culture, particularly for the Fraud & ID Business Development Manager role. With a strong emphasis on employee growth and development, we provide ample opportunities for our team members to enhance their skills and advance their careers while working in a collaborative environment. Located in a vibrant area, our team enjoys not only competitive benefits but also the chance to be at the forefront of transforming how businesses manage fraud and identity verification.
StudySmarter Expert Advice🤫
We think this is how you could land AI Consultant in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Equifax on LinkedIn. A friendly chat can give us insider info about the company culture and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your AI and machine learning knowledge. We should be ready to discuss specific projects we've worked on, especially those involving Python and cloud platforms.
✨Tip Number 3
Showcase our problem-solving skills! During interviews, we can share examples of how we've tackled complex data challenges. This will highlight our analytical prowess and creativity.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets seen by the right people. Plus, it shows we’re genuinely interested in joining the team at Equifax.
We think you need these skills to ace AI Consultant in London
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 languages like Python, as these are key to impressing us.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about AI and how your unique background makes you the perfect fit for our team. Don't forget to mention any relevant projects or achievements!
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 your previous job, we love seeing real-world applications of your skills.
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 and helps us get to know you better. Plus, it’s super easy!
How to prepare for a job interview at Equifax, Inc.
✨Know Your AI Stuff
Make sure you brush up on your AI and machine learning knowledge. Be ready to discuss specific techniques like neural networks or natural language processing, as well as your hands-on experience with cloud-based platforms. This will show that you're not just familiar with the concepts but can also apply them in real-world scenarios.
✨Showcase Your Data Skills
Prepare to talk about your experience in data analysis and how you've used programming languages like Python and SQL to derive insights. Bring examples of projects where you've developed predictive models or worked with large datasets, as this will highlight your technical prowess and problem-solving abilities.
✨Communicate Clearly
Since you'll need to communicate complex findings to stakeholders, practice summarising your analytical results in a clear and engaging way. Think about how you can package your insights into a compelling story that demonstrates the business impact of your work.
✨Be a Team Player
Collaboration is key in this role, so be prepared to discuss how you've worked with product managers or other teams in the past. Highlight any experiences where you've provided guidance to junior analysts or contributed to team projects, as this will show that you can thrive in a collaborative environment.
