Manager, Data Science (GNS)

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:

• Manage a team of data scientists and engineers to design, develop, and deploy advanced AI solutions.
• Lead the development of AI and machine learning models to solve business problems.
• Research, build, and deploy models based on shallow and deep machine learning.
• Train robust NLP-based models on large datasets.
• Collaborate with cross-functional teams to align AI solutions with business goals and customer needs.
• Design APIs for disseminating data science outputs.
• Oversee the scaling of production systems to meet growing demands.
• 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.
• 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:

• 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.

Highly Desired Skills and Experience:

• PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field.
• 7-10+ years of experience in AI and machine learning.
• 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.
• Strong problem-solving skills and the ability to think outside the box.