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LexisNexis is looking to develop and deploy advanced AI and machine learning models to solve complex business problems, increase productivity, improve decision-making and outcomes for their customers.

Requirements

• Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests
• Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.
• Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc.
• Experience with reinforcement learning, prompt engineering, hallucination mitigation
• Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark)
• Strong coding skills in Python or another programming language
• Strong problem-solving skills and the ability to think outside the box

Responsibilities

• Leading the development of advanced AI and machine learning models to solve complex business problems
• Working closely with other data scientists and engineers to design, develop, and deploy AI solutions
• Analyzing large datasets to identify patterns and trends that can inform AI development
• Staying current with the latest AI and machine learning trends and technologies
• Driving best practices across our data science functions
• Evaluating and creating new frameworks and defining methodologies and governance
• Setting a high-bar for model development

Other

• Leading small teams of indirect reports, you'll influence and mentor teams in best practices and methodologies.
• Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs
• Communicating findings and insights to stakeholders in a clear and concise manner
• Mentoring junior data scientists and provide guidance on AI and machine learning best practices
• Setting strategy and team direction, with a clear vision for Data Science
• Working with product leaders to apply data science solutions.
• Leading small- to medium-sized teams (direct or indirect)
• Have substantial experience in a senior data scientist role
• Have experience in leading complex projects and customer relationships
• Have significant experience in managing larger Technical teams (direct or indirect)
• Have experience in mentoring or training others, acting as a subject matter expert to guide colleagues
• Be a natural problem solver, able to take a lead in collaborating to resolve issues
• Have excellent communication skills and the ability to convey information clearly to senior stakeholders
• Working understanding of the business risks associated with applying LLM in a business
• Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders