Our Experian Software Solution's Analytics Services Team supports analytic and generative AI products for decisioning, analytics, and fraud and identity globally.
As a Senior Data Scientist, you will help develop analytical solutions and contribute to product prototypes using your predictive modeling skills, coding expertise, and Gen AI experience. You will apply analytic consulting skills to lead client and internal engagements for Experian's new global product launches and early client success efforts. You will report to the Director of Data Science and Gen AI.
What you'll do:
- Create advanced machine learning analytical solutions and prototypes to extract insights from diverse structured and unstructured data sources.
- Collaborate with Engineering, Research, and Data Science teams in the design of Machine Learning, Dashboarding, Ad Hoc Analysis and AI applications. We implement these applications in a cloud-native big data (AWS) computing platform.
- Articulate model processes and outcomes, documenting and presenting findings and performance metrics, and translating complex findings into relevant insights.
- Partner with Leaders, Analytic Consultants, Engineers, Account Executives, Product Managers, and external partners to bring new solutions to market that provide impact to Experian's broad client base.
- Use Gen AI and model development tools to develop new models.
- Research and integrate new data assets from different sources into Experian's ML and AI platform. Develop and assess analytic tools developed internally and externally.
- Gather feedback from internal and external clients to guide new product development, feature prioritization, and product evolution of tools and capabilities supported by the Ascend Platform.
- Dissect and document vast datasets, analyzing them to highlight patterns and insights.
- Solve complex challenges by developing impactful algorithms.
- Gather input from colleagues and management to address issues within project team.
- Lead and advocate efforts to improve client's analytical solution, data quality, model fit, and project timeline
- Work with the product management team to provide expert advise and define the go-to-market strategy for new products and services based on the new data science models/ methodologies
- Participate in the greater analytical community through conference presentation and white paper