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, healthcare, and 26 days holiday.
- Other info: Opportunities for personal development and a supportive 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 development.
The predicted salary is between 72000 - 88000 £ 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.
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 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 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 optimisation 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).
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
AI Consultant in Leeds 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 in Leeds
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Equifax!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like AI Consultant at Equifax.
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Equifax.
✨Apply Directly through Our Website
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We think you need these skills to ace AI Consultant in Leeds
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Equifax, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Equifax. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Equifax
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Equifax!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
