Machine Learning Engineer

About Our Company

LexisNexis Legal & Professional, a division of RELX, is a global leader in providing information-based analytics and decision tools for professional and business customers. With a presence in over 150 countries and a workforce of 11,300 employees worldwide, we are committed to delivering exceptional service and creative solutions.

About The Team

Our team, based in the APAC region, plays a crucial role in supporting all regional functions through comprehensive reporting and data-driven insights. We are currently undergoing an exciting transition, where we are enhancing our data capabilities and embracing Agentic Development, Machine Learning, and Predictive Analytics to better support our business objectives and drive growth.

Our team is composed of high-performing professionals who collaborate across business units to deliver insights that shape strategic decisions. You’ll work closely with stakeholders across departments and geographies, including mentoring junior analysts and supporting organisational development initiatives.





About The Role

This role directly supports our strategic shift toward machine learning, predictive analytics, and Agentic development in the region, enabling faster and more reliable delivery of insights and outcomes for APAC stakeholders on our modern data platforms.

Responsibilities

Data Processing at Scale. Clean, transform, and join raw datasets, handling missing data, outliers, normalization, and leakage prevention using SQL and Python.
Design and develop ML models tailored to business needs, leveraging statistical methods to ensure accuracy and reliability. Apply classical and modern techniques including regression, classification, time series analysis, and hypothesis testing to build trustworthy models.
Implement ML algorithms with an emphasis on performance and interpretability. Select appropriate algorithms and use statistical techniques to optimize hyperparameters, reduce varian

📌 Machine Learning Engineer (India)
🏢 LexisNexis
📍 India