Manager, Data Science - Agentic AI

Our client is a leading global provider of legal, regulatory and business information and analytics that help customers increase productivity, improve decision-making and outcomes, and advance the rule of law around the world.

They help lawyers win cases, manage their work more efficiently, serve their clients better and grow their practices. They assist corporations in better understanding their markets, monitoring their brands and competition, and in mitigating business risk. They collaborate with universities to educate students, and support nation-building with governments and courts by making laws accessible and strengthening legal infrastructures. They partner with leading global associations and customers to collect evidence against war criminals and provide tools to combat human trafficking.

Responsibilities:

• Leading development of advanced AI Agentic tech.
• Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.
• Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.
• Analyzing large datasets to identify patterns and trends that can inform AI development.
• Communicating findings and insights to stakeholders in a clear and concise manner.
• Staying current with the latest AI and machine learning trends and technologies.
• Mentoring junior data scientists and provide guidance on AI and machine learning best practices
• Driving best practices across our data science functions.
• Setting strategy and team direction, with a clear vision for Data Science.
• Working with product leaders to apply data science solutions..
• Evaluating and creating new frameworks and defining methodologies and governance.
• Leading small- to medium-sized teams (direct or indirect).
• Setting a high bar for model development.

Requirements:

• 3+ years of people management experience.
• 7+ years of AI/ML experience.
• 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.
• 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.
• Working understanding of the business risks associated with applying LLM in a business.
• Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark).
• Strong coding skills in Python or another programming language.
• Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders.