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Full-time
bachelor degree, postgraduate degree
Contributory Pension, Life Cover, Income Protection, Healthcare, Enhanced Maternity Pay, Enhanced Sick Pay
Posted 42d ago
~40 hrs/week
Responsibilities
The AI Consultant will develop and test AI models and algorithms to derive insights from large datasets and create innovative solution components. They will collaborate with product managers to validate needs and communicate the business impact of analytical findings to stakeholders.
Requirements
Candidates must have a bachelor's degree in a numerical subject and solid experience in AI/ML development within a UK Credit Risk environment. Proficiency in Python, SQL, and cloud-based AI platforms is required, with a preference for postgraduate degrees in quantitative fields.
Full job description
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 or 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 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 a 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!
At Equifax (NYSE: EFX), we believe knowledge drives progress. As a global data, analytics, and technology company, we play an essential role in the global economy by helping financial institutions, companies, employers, and government agencies make critical decisions with greater confidence. Our unique blend of differentiated data, analytics, and cloud technology drives insights to power decisions to move people forward.
Headquartered in Atlanta and supported by nearly 15,000 employees worldwide, Equifax operates or has investments in 24 countries in North America, Central and South America, Europe, and the Asia Pacific region.
For more information, visit Equifax.com.
Offices: P.O. Box 740241, Atlanta, GA 30374, US · 11710 Plaza America Dr, Reston, VA 20190, US · 140 William St, Melbourne, VIC 3000, AU · 100 Walker St, Sydney, NSW 2060, AU · Saint Louis, MO 63114, US
How many Finance & Accounting jobs are open in Nottingham, United Kingdom right now?
There are currently 110 open finance & accounting positions in Nottingham, United Kingdom listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Finance & Accounting roles in Nottingham, United Kingdom?
Companies currently hiring include Capital One, LSEG, Serasa Experian, Turner & Townsend, Millennium Insurance Corporation, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Finance & Accounting jobs in Nottingham, United Kingdom?
Yes — 77 of the 110 open finance & accounting positions offer remote or hybrid work (2 remote, 75 hybrid).
How do I apply for Finance & Accounting jobs in Nottingham, United Kingdom?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.