Associate Data Modeller
ExternalFull-timeOn-siteToday
LinearMachine LearningNumPyPandasPower BIPySpark
Prepare for this interview
EliteAI-generated questions, company research, and talking points tailored to this role
Responsibilities
- 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.
Requirements
- 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
- 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.
- 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
Benefits
Health insurancePaid time offFlexible schedule
Additional Information
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.
Your Match
How well this role fits your profile.
Company Intel
What employees say
Worked at Experian? Share your experience