Overview
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.
Come join the Equifax UK Product Analytics & Innovation team and develop market-leading scores, models and analytical solutions using the latest cloud-based technologies, techniques and tooling. Be part of a growing and diverse team tasked with creating the next generation of statistical models, machine-learning algorithms and AI-based products and services.
As an Equifax Data Scientist, you will play a pivotal role in the Product Analytics & Innovation team. You will work closely with internal clients and stakeholders to proactively understand their challenges, propose and develop solutions and lead the execution of analytical and consultancy projects, including the design and development of complex modelling assignments utilising CRA data. You will have frequent engagements with stakeholders and will manage multiple analytics and consultancy projects.
Our Data Scientist roles are unique. The ideal candidate is a rare hybrid; a scientist with 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. He or she will combine these 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
Strategic Data Utilisation: Enable the organisation to make better decisions, innovate, and grow by effectively using its data assets.
End-to-End Solution Development: Develop and deploy solutions by independently preparing datasets, performing analysis, and building predictive models, risk assessments, and other analytical tools.
Data Preparation and Engineering: Create data pipelines to collect, integrate, consolidate, cleanse, and structure large, complex datasets from various sources for analytical use.
Analytical Strategy & Innovation: Support the overall analytical strategy by understanding technical capabilities and suggesting opportunities for new, enhanced solutions.
Data Analysis & Interpretation: Analyse and interpret large data assets to create multiple innovative solution components, applying both business and technical expertise.
Problem-Solving & Collaboration: Work on highly complex problems across multiple domains, collaborating with other teams to develop advanced solutions such as fraud detection and recommendation engines.
Communication & Storytelling: Summarise, visualise, and present analytical findings and results to management and business users in a clear, compelling way.
Data Quality & Governance: Develop rules and tracking processes to maintain high data quality, and implement improvements based on best practices for data management and security.
Staying Current & Proposing Solutions: Keep up with the latest trends and advancements in cloud platforms (like GCP) and related technologies, actively proposing and evaluating new solutions.
Mentorship & Quality Assurance: Guide and mentor junior Data Scientists, and review their work to ensure the quality of their dataset implementations.
Communicate results to external stakeholders and mid level leadership, able to communicate business impact of work
What experience you need
BSc degree in a STEM major or equivalent discipline
Extensive & current experience in a related analytical role
Held a similar analytical position in a commercial lending business or a similar business to Equifax
Extensive exposure to commercial data assets e.g Companies House data at a minimum
Experience building Commercial Credit Scores including risk, PD and business failure scores
Advanced skills using programming languages such as Python or SQL, and intermediate level experience with scripting languages
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
Additional role-based certifications may be required depending upon region/BU requirements
Experience building and maintaining moderately-complex data pipelines, troubleshooting issues, transforming and entering data into a data pipeline in order for the content to be digested and usable for future projects
Experience designing and implementing complex data models and experience enabling optimisation to improve performance
What could set you apart
Cloud experience using GCP or Amazon AWS
Exposure to machine learning techniques
Exposure to model implementation and testing techniques
Google Cloud Certification
Experience navigating the security governance arena
Deep understanding of the industry / regulatory landscape, particularly for commercial business lending
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!
Primary Location: GBR-London
Function: Function - Data and Analytics
Schedule: Full time
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