Junior Data Modeler

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.

Job Description

As a Junior Data Modeller you will report to the Data Modeller Manager and help develop predictive credit risk models and analytical solutions for Experian's clients.

You will build, test, and maintain predictive credit risk models and scorecards using statistical techniques. To be successful, you will need specific coding skills ( Python, PySpark, SQL) and economic understanding.

What you will do:

• Analyse large datasets to identify patterns, trends, and risk drivers that help clients make better lending and customer decisions.
• Prepare and transform data for modelling, ensuring accuracy, quality, and consistency throughout the process.
• Monitor and validate model performance, investigating issues and implementing improvements where needed.
• Use GenAI and other analytical tools to improve efficiency, automate routine tasks, and enhance analytical insights.
• Apply a continuous improvement mindset by identifying data issues, process inefficiencies, and inconsistencies, and recommending practical solutions.
• Work with other teams and clients to understand requirements and provide analytical solutions that meet their needs.
• Follow modelling, governance, and quality standards to ensure reliable and robust analytical outputs.

Qualifications

What you will bring:

• University degree with a high numerical content (such as Mathematics, Statistics, Computer Science, Economics)
• Knowledge in statistical software packages and other related technologies
• Fluent English – written and spoken
• Working knowledge in Python – preferably both Python's own syntax but also some of its main analytical packages (such as Pandas, Numpy, scikit-learn)
• Understanding of how and when to apply analytical approaches including regression analysis and machine learning
• Grasp of probability, statistical inference, optimization algorithms, linear algebra, and calculus
• We will consider experience with BI Tools such as Tableau and Power BI as an advantage

Additional Information

Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose-driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why. Experian is also proud to be an Equal Opportunity and Affirmative Action employer. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

What you will get:

• Personal Development - career pathway for professional growth supported by learning and development programs and unlimited access to online educational training courses, learning materials and books.
• Work environment - excellent work conditions with friendly environment, recognized team spirit, and fun and quality recreation time.
• Social benefit package including life insurance, food vouchers, additional health insurance, monthly flex allowance and internet coverage, corporate discounts, marriage and childbirth / adoption allowance, Multisport card, Sharesave plan, Employee assistance program, а birthday gift and many other benefits!
• Work-life balance - 25 days paid vacation, 1 additional day off for your birthday and extra 3 paid days for participation in Social responsibility event.
• Opportunity for Flexible working hours and Home Office.

Recruitment Fraud Awareness - Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address. Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers.

Experian Careers - Creating a better tomorrow together

Experian Careers - Creating a better tomorrow together

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