Job Description

Responsibilities

Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.Leading the development of advanced AI and machine learning models to solve complex business problems.Analyzing large datasets to identify patterns and trends that can inform AI development.Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.Evaluating and creating new frameworks and defining methodologies and governance.Mentoring junior data scientists and provide guidance on AI and machine learning best practices.Working with product leaders to apply data science solutions.

Requirements

Possess an advanced or Master's education in Computer Science, Mathematics, Statistics, or a related field.Have experience working directly with large language models and transformer-based architectures including BERT, RoBERTa, T5 etc.Be proficient in working with big data technologies and tools like Hadoop, Spark, or AWS.Have experience and knowledge of applying LLMs including ChatGPT, GPT 3.5, Claude, Mistral, etc.Be a natural problem solver, able to lead and mentor junior data scientists, and collaborate with cross-functional teams.Demonstrate proficient experience with machine learning algorithms, including deep learning, gradient boosting, and random forests.Possess advanced programming skills in Python, R, or other relevant languages for data analysis.

LexisNexis, a division of RELX, is an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: https://forms.office.com/r/eVgFxjLmAK , or please contact 1-855-833-5120.

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