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 DescriptionAs a Junior 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)
- 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
Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here
Skills Required
- University degree with a high numerical content (Mathematics, Statistics, Computer Science, Economics)
- Knowledge in statistical software packages and related technologies
- Fluent English (written and spoken)
- Working knowledge in Python (including Pandas, NumPy, scikit-learn)
- Working knowledge in PySpark
- Working knowledge in SQL
- Understanding of 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
Experian Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Experian and has not been reviewed or approved by Experian.
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Healthcare Strength — Medical and dental coverage is described as strong, with expanded mental health resources and telemedicine options. Coverage includes inclusive services such as gender transition and fertility support.
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Leave & Time Off Breadth — Time-off offerings are generous, including substantial PTO/vacation, paid holidays, and paid volunteer days with options to purchase additional leave. Parental leave is available for birth and non-birth parents alongside flexible working arrangements that support work-life balance.
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Retirement Support — Retirement programs include a 401(k) with company matching and contributory pension schemes in some regions. These elements complement base pay and bonuses to form a competitive total rewards package.
Experian Insights
What We Do
Experian unlocks the power of data to create opportunities for consumers, businesses and society. During life’s big moments – from buying a home or car, to sending a child to college, to growing a business exponentially by connecting it with new customers – we empower consumers and our clients to manage data with confidence so they can maximize every opportunity. We gather, analyse and process data in ways others can’t. We help individuals take financial control and access financial services, businesses make smarter decision and thrive, lenders lend more responsibly, and organizations prevent identity fraud and crime. For more than 125 years, we’ve helped consumers and clients prosper, and economies and communities flourish – and we’re not done. Our 20,600 people in 43 countries believe the possibilities for you, and our world, are growing. We’re investing in new technologies, talented people and innovation so we can help create a better tomorrow. About Experian: Bringing data to life requires creativity, passion, flexibility and expertise. We want you to share in our success. That's why we offer rewards that recognise great performance. Working in a culture of collaboration, achievement and respect we will give you the support and encouragement you need to develop your skills and talents and progress your career. Everyday our people bring enthusiasm, innovation and inspiration to work and if this sounds like you connect with us at Experian.
