At a Glance
- Tasks: Analyse data, develop AI models, and collaborate on innovative projects.
- Company: Join a leading company in AI and data analytics.
- Benefits: Competitive salary, flexible work options, and opportunities for growth.
- Other info: Dynamic team environment with a focus on innovation and creativity.
- Why this job: Make an impact with cutting-edge AI technology and solve real-world problems.
- Qualifications: Degree in a numerical subject and experience in AI and data analysis.
The predicted salary is between 60000 - 80000 £ 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.
- 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.
- 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).
AI Consultant employer: Equifax
Equifax is an exceptional employer that fosters a dynamic work culture in Greater London, where innovation and collaboration thrive. Employees benefit from comprehensive growth opportunities, competitive compensation, and the chance to make a meaningful impact on the company's revenue strategy through strategic partnerships. Join us to be part of a forward-thinking team dedicated to driving success and expanding market reach.
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 AI and data science fields on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, models, and any cool data visualisations you've done. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on common AI and machine learning questions. Practice explaining your past projects and how they relate to the role. We want to see your passion and expertise shine through!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Consultant
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your technical skills in AI, machine learning, and programming. We want to see how you can scrape, combine, and manage data like a pro, so don’t hold back on showcasing your experience!
Tailor Your Application:Customise your application to reflect the unique aspects of the AI Consultant role. Use keywords from the job description to demonstrate that you understand what we’re looking for and how you fit into the picture.
Tell a Story with Your Data:When discussing your past projects, focus on how you’ve used data to derive insights and create solutions. We love a good story, especially if it shows your creativity and thoroughness in tackling complex problems!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves.
How to prepare for a job interview at Equifax
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI and machine learning. Be ready to discuss specific algorithms, models, and tools like Vertex AI and BQML. Showing that you're not just familiar but passionate about these technologies will definitely impress.
✨Data Storytelling is Key
Prepare to showcase your ability to package and visualise data findings. Think about how you can turn complex data into compelling stories that highlight business impact. Practising this skill will help you communicate effectively with both technical and non-technical stakeholders.
✨Show Off Your Problem-Solving Skills
Be ready to tackle some real-world problems during the interview. Think through how you would approach a complex analytical task or develop a predictive model. This will demonstrate your analytical mindset and ability to think critically under pressure.
✨Collaboration is Crucial
Since the role involves working with product managers and junior analysts, be prepared to discuss your teamwork experiences. Share examples of how you've collaborated on projects, provided guidance, or contributed to a team’s success. This shows you’re not just a lone wolf but a team player.
