Lead Data Scientist

Octave Intelligence plc; United States; On-site; USD 180,000 - 240,000; Full time

Job summary

Octave Intelligence plc is seeking a hands-on Lead Data Scientist for a remote, full-time role to build predictive models, implement Generative AI features, and architect data-driven solutions for a compliance management platform.

You will lead the design and deployment of NLP and LLM-powered workflows, establish end-to-end MLOps, and collaborate with product and engineering to translate business needs into scalable AI solutions.

Qualifications

• 7+ years in data science, ML engineering, or related roles.
• 3+ years experience building NLP/generative AI applications and implementing MLOps in production.
• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field (PhD preferred).
• Production-level experience with Python and advanced proficiency in SQL.
• Strong foundation in machine learning, NLP, and experience with Generative AI and LLMs.

Responsibilities

• Build and deploy Generative AI features and design agentic AI systems for compliance workflows.
• Implement LLM evaluation frameworks and develop end-to-end MLOps pipelines for model management.
• Collaborate with cross-functional teams to translate business needs into ML solutions and communicate insights to stakeholders.

Skills

Data science

ML engineering

NLP

Generative AI

LLMs

Python

SQL

MLOps

Education

Data Science/CS/Stats degree

PhD preferred

Job description

Seeking a hands‑on Lead Data Scientist for a remote, full‑time position, who will build predictive models, implement Generative AI features, and architect data‑driven solutions for a compliance management platform.

Key responsibilities

• Build and deploy Generative AI features and design agentic AI systems for compliance workflows
• Implement LLM evaluation frameworks and develop end‑to‑end MLOps pipelines for model management
• Collaborate with cross‑functional teams to translate business needs into ML solutions and communicate insights to stakeholders

Required qualifications

• 7+ years in data science, ML engineering, or related roles
• 3+ years experience building NLP/generative AI applications and implementing MLOps in production
• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field (PhD preferred)
• Production‑level experience with Python and advanced proficiency in SQL
• Strong foundation in machine learning, NLP, and experience with Generative AI and LLMs