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Tech Stack
Tools & technologiesCloudPythonSQL
About the role
Key responsibilities & impact- 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
Requirements
What you’ll 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
Benefits
Comp & perks- contributory pension
- life cover
- income protection
- healthcare
- enhanced maternity and sick pay
- 26 days holiday
- a day off for your birthday
- ability to buy and sell holidays
- free credit checks
- flexible benefits
- cycle to work
- discounted travel options
- gym membership
- dining and leisure discounts
- financial & savings plans
- mobile discounts
- personal development support
- global online learning platform
- support from Inclusion and Diversity, Wellbeing and Employee Engagement forums
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Data AnalysisMachine LearningAI DevelopmentPredictive ModelingModel Performance EvaluationPredictive Model OptimizationData StructuresAlgorithmsAnalyticsStatistical Analysis
Soft Skills
Strong Analytical SkillsProblem-Solving SkillsGood Communication SkillsPresentation SkillsVisualization Skills