Senior Principal Data Scientist

Position Overview

• Location Type: Remote
• Job Type: Full-time
• Salary: Not specified

Experian's Innovation Lab is an R&D unit focused on developing new solutions, acquiring strategic datasets, and enhancing client relationships through collaboration with Experian's departments.

Responsibilities

• Understand market trends and client pain points to lead the Lab's R&D roadmap for the next 3-5 years.
• Follow new technologies in AI and Machine Learning, guiding R&D efforts to apply the latest technology to client challenges.
• Lead the development of impactful analytical solutions with a focus on Return on Investment (ROI) in areas like Identity management, fraud detection, risk management, and marketing optimization.
• Solve complex challenges by developing impactful algorithms.
• Craft advanced machine learning analytical solutions to extract insights from diverse structured and unstructured data sources.
• Lead efforts to improve the Lab's data management, data processing, knowledge discovery, and modeling processes.
• Coach junior team members within the Lab.
• Unearth data value by selecting and applying appropriate machine learning, deep learning, and processing techniques.
• Improve data manipulation and retrieval through the design of efficient data structures and storage solutions.
• Innovate with tools designed for data processing and information retrieval.
• Dissect and document vast datasets, analyzing them to highlight patterns and insights.
• Ensure model excellence by validating performance scores and analyzing ROI and benefits.
• Articulate model processes and outcomes, documenting and presenting findings and performance metrics.

Requirements

• Ph.D. degree in Machine Learning, Data Science, AI, Computer Science, or a related quantitative field.
• More than 10 years of experience in AI, data science, and predictive modeling.
• Track record in leading the development of impactful analytical solutions with ROI for fraud detection, risk management, or marketing optimization.
• Experienced in leading sizable teams to develop AI-driven analytical solutions.
• Proficiency in multiple programming languages, including Python, Java, C++, and C.
• Experience developing analytical solutions using deep learning (CNN, RNN, LSTM, attention models), machine learning methodologies (SVM, GLM, boosting, random forest, etc.), graph models, and reinforcement learning.
• Experience with open-source tools for deep learning and machine learning technology such as PyTorch, Keras, TensorFlow, Scikit-learn, Pandas.
• Experience with large data analysis using Spark (PySpark preferred).
• Experience with LLMs and relevant tools in the Generative AI domain.
• Experience developing advanced language models.

Company Information

Experian is a global data and technology company dedicated to powering opportunities for people and businesses worldwide. We contribute to redefining lending practices, preventing fraud, simplifying healthcare, creating marketing solutions, and gaining deeper insights into the automotive market by leveraging our unique combination of data, analytics, and software. We also assist millions of individuals in working towards their financial goals, helping them save time and money.

Experian invests in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we employ 22,500 people across 32 countries. Our corporate headquarters are located in Dublin, Ireland.

Learn more at experianplc.com.