AI Senior Analyst

AI Senior Analyst

Nottingham Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Analyze data, develop AI models, and guide junior analysts in a collaborative environment.
  • Company: Equifax empowers you to reach your potential and make a meaningful impact.
  • Benefits: Enjoy flexible benefits, 26 days holiday, and personal development opportunities.
  • Why this job: Join a dynamic team pushing the boundaries of AI and big data solutions.
  • Qualifications: Bachelor's degree in a numerical field and solid experience in AI and data analysis required.
  • Other info: Cloud certification preferred; passion for data science is a plus.

The predicted salary is between 43200 - 72000 £ 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.

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:

  • 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 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, 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 an 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, GBR-Leeds-6-Wellington, GBR-Nottingham

Function: Function – Data and Analytics

Schedule: Full time

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AI Senior Analyst employer: Kount

Equifax is an exceptional employer that empowers its employees to reach their full potential through a collaborative and innovative work culture. With a strong focus on personal development, employees benefit from extensive learning opportunities, flexible benefits, and a supportive environment that values inclusion and diversity. Located in vibrant cities like London, Leeds, and Nottingham, Equifax offers a unique chance to work on cutting-edge AI projects while enjoying a comprehensive benefits package that includes generous holiday allowances and wellness programs.
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Contact Detail:

Kount Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI Senior Analyst

✨Tip Number 1

Familiarize yourself with the latest advancements in AI and machine learning. Follow industry leaders on social media, read relevant research papers, and participate in online forums to stay updated. This knowledge will not only help you during interviews but also demonstrate your passion for the field.

✨Tip Number 2

Showcase your hands-on experience with cloud-based AI platforms like Vertex AI and BQML. If you have personal projects or contributions to open-source AI projects, be ready to discuss them in detail. This practical experience can set you apart from other candidates.

✨Tip Number 3

Develop your storytelling skills when it comes to data analysis. Practice summarizing complex analytical findings in a way that is easy to understand for non-technical stakeholders. Being able to communicate the business impact of your work is crucial for this role.

✨Tip Number 4

Network with professionals in the financial services industry. Attend meetups, webinars, or conferences related to AI and data analytics. Building connections can provide valuable insights into the industry and may even lead to job referrals.

We think you need these skills to ace AI Senior Analyst

Data Analysis
Machine Learning
AI Development
Python Programming
SQL Proficiency
Statistical Analysis
Cloud-Based AI Platforms
Predictive Modeling
Model Performance Evaluation
Data Visualization
Problem-Solving Skills
Communication Skills
Collaboration Skills
Technical Guidance
Creativity in Data Insights

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in data analysis, machine learning, and AI development. Emphasize your proficiency in Python and SQL, as well as any hands-on experience with cloud-based AI platforms.

Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and how your skills align with the role. Mention specific AI techniques you are familiar with, such as neural networks or natural language processing, and how they can benefit Equifax.

Showcase Relevant Projects: Include examples of projects where you designed and developed predictive models. Highlight your contributions to open-source AI projects or any experience with data visualization tools to set yourself apart.

Prepare for Technical Questions: Be ready to discuss your analytical and problem-solving skills during the interview. Prepare to explain your approach to model performance evaluation and optimization, as well as your experience with big data architectures.

How to prepare for a job interview at Kount

✨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. This will demonstrate your technical proficiency and ability to handle complex data.

✨Prepare for Problem-Solving Questions

Expect questions that assess your analytical and problem-solving skills. Practice explaining your thought process when tackling data-related challenges, as this role requires a strong ability to derive insights from large datasets.

✨Communicate Clearly and Effectively

Since the role involves communicating results to stakeholders, practice summarizing complex data findings in a clear and concise manner. Use storytelling techniques to make your analytical results relatable and impactful.

✨Demonstrate Collaboration Experience

This position requires collaboration with product managers and other teams. Be ready to share examples of how you've successfully worked in teams, contributed to projects, and supported junior analysts in previous roles.

AI Senior Analyst
Kount
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  • AI Senior Analyst

    Nottingham
    Full-Time
    43200 - 72000 £ / year (est.)

    Application deadline: 2027-03-15

  • K

    Kount

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