Data Scientist

About This Role

This Data Scientist role is pivotal in advancing analytics and AI across Nomura globally, focusing on applying leading-edge statistical modeling, machine learning, and AI techniques to solve real-world problems. The role drives innovation through the development of advanced Large Language Models (LLMs) and fosters a data-driven culture.

Responsibilities

• Develop and deploy advanced machine learning models and AI solutions for products, services, and end users
• Lead the exploration of innovative AI applications in Public Markets, Private Credit, Fixed Income, and other financial solutions
• Oversee the improvement of LLM output chains across various use cases
• Collaborate with engineers, business stakeholders, and cross-functional teams to design and implement innovative solutions
• Provide strategic input for long-term data initiatives, including data governance and compliance
• Plan and implement MLOps frameworks, including benchmark monitoring for quality assurance and compliance
• Analyze large datasets to identify trends, patterns, and business opportunities
• Mentor junior Data Scientists, fostering their growth and development
• Contribute to and drive the strategic direction of data science initiatives aligned with business goals
• Champion the adoption of a data-driven culture, promoting data literacy and ethical AI practices

Requirements

• 4+ years industry working experience
• Demonstrated history of data science experience with successful past projects
• Advanced SQL
• 2+ years programming experience in Python and Natural Language Processing (NLP)
• Proven track record of implementing data science and AI solutions with measurable ROI
• Ability to clearly articulate the strategic importance of ML and AI to senior leadership
• Excellent communication skills with stakeholders at all levels
• Empathetic, collaborative, and open to feedback
• Ability to read and stay abreast of LLM-related research and advancements
• Ability to thrive in an agile environment

Qualifications

• Doctorate or Master’s in Data Science, Mathematics, Statistics, Computer Science, or a related field
• 4+ years industry working experience in data science, with 2+ years programming experience in Python and Natural Language Processing (NLP)

Nice to Have

• Previous experience in Public Markets and Private Credit
• Masters/Doctorate in a relevant discipline

Skills

* Required skills