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.

As an Associate Data Modeller you will report to the Data Modeller Manager and support the development of predictive credit risk models and analytical solutions for Experian's clients.

In this role you will build, test, and maintain predictive credit risk models and scorecards using statistical techniques. To be successful, you will need specific coding skills (mainly 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 closely with internal teams and clients to understand business requirements and deliver analytical solutions that meet their needs.
• Follow modelling, governance, and quality standards to ensure reliable and robust analytical outputs.

What you will bring:

• University degree with a high numerical content (such as Mathematics, Statistics, Computer Science, Economics)
• 2+ years of experience in the field of data analytics
• 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
• Experience with BI Tools such as Tableau and Power BI will be considered as an advantage

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 & book.
• 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.

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here