Experian
Financial Services
DataModelerII
Neural analysis suggests this role is
optimal for mid candidates.
“Data Modeler II at Experian. Skills: data mining techniques, statistical analysis, machine learning, Python, Pyspark, SAS, Gradient Boost, KNN, Linear Regression, Logistic Regression, Decision Tree. applying data mining techniques. doing statistical analysis”
What You'll Achieve.
unlock our vast amounts of data with modelling and advanced analytics; allowing us to make smarter decisions and deliver even better products to our clients; Deliver high quality analytical and value-added services for the clients while following timelines as promised to the client
Industry & Context.
statistical analysis; building high-quality prediction systems and automated scores
What They're Looking For.
Must Have
3+ years of experience core analytics function of a large bank / consulting firm, experience handling large data volumes using data analysis tools, Gradient Boost, KNN, Linear Regression, Logistic Regression, Decision Tree, Python, Pyspark, SAS, Applied statistics skills, distributions, statistical testing, regression
Nice to Have
Understanding of decisioning and portfolio management in banking and financial services, Understanding of credit bureau
What You'll Do.
applying data mining techniques
doing statistical analysis
building high-quality prediction systems and automated scores using machine learning
integrated with our products
support our business teams
pre-sales and analytics to ensure product creation
Deliver high quality analytical and value-added services for the clients
Engage Business/Technical Consultants and delivery teams
Use analysis and customer insights to develop value propositions for customers
How You'll Work.
Team & Collaboration
Engage Business/Technical Consultants and delivery teams so that there is a shared understanding and agreement as to deliver proposed solution
Full Job Description
Experian unlocks the power of data to create opportunities for consumers, businesses and society. We gather and analyse data in ways others can't. We help individuals take financial control and access financial services, businesses make smarter decision and succeed, lenders lend more responsibly, and organisations 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 17,800 people in 45 countries believe the possibilities for you, and our world, are growing. We're investing in new technologies, experienced people and new ideas so we can help create a better tomorrow. We are looking for a Data Modeler to help us unlock our vast amounts of data with modelling and advanced analytics, allowing us to make smarter decisions and deliver even better products to our clients. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high-quality prediction systems and automated scores using machine learning, integrated with our products. You will also support our business teams, pre-sales and analytics to ensure product creation. Suited to someone who has 3+ years of experience core analytics function of a large bank / consulting firm and with experience handling large data volumes using data analysis tools and generating good data insights. What you'll do * Deliver high quality analytical and value-added services for the clients while following timelines as promised to the client. * You'll play an important role to Engage Business/Technical Consultants and delivery teams so that there is a shared understanding and agreement as to deliver proposed solution * You will Use analysis and customer insights to develop value propositions for customers ## Qualifications What you'll need to bring to the party * Understanding of machine learning techniques and algorithms, such as Gradient Boost, KNN, etc. * Knowledge of differen
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