LexisNexis Legal & Professional is looking to enhance its data science capabilities and improve the quality of data sources for its end-user products.
Requirements
- 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.
- 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.
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.
- 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.
- Leading small- to medium-sized teams (direct or indirect).
Other
- Masters plus 7-10 years of work-related experience OR PhD with 6+ years of work-related experience.
- Possess an advanced or Master's education in Computer Science, Mathematics, Statistics, or a related field.
- Be a natural problem solver, able to lead and mentor junior data scientists, and collaborate with cross-functional teams.
- Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
- We promote a healthy work/life balance across the organization.
