> Markdown version of [/jobs/ext/471306-mrm-senior-data-scientist](https://www.wearedevelopers.com/jobs/ext/471306-mrm-senior-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # MRM Senior Data Scientist - **Company:** Pacific Life Insurance Company - **Location:** Newport Beach, CA, United States - **Experience:** Expert - **Salary:** $152,010.0 - $185,790.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Code Review, Cursor (Graphical User Interface Elements), Github, Python (Programming Language), Machine Learning, Productivity Software, SQL Databases, Multi-Agent Systems, Generative AI, Build Management, Scikit Learn, Information Technology - **Published:** June 7, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=9d8c2b6668e5dccc ## About the Role Do you have experience in Tooling?, * 5+ years developing and validating AI/ML models, preferably in financial services. * Strong background in Machine Learning, Generative AI, and Engineering practices. * Independent, risk-based thinker with sound judgement and a partnership mindset to providing effective challenge * Strong written and verbal communication skills, with the ability to translate technical findings into clear and actionable recommendations for technical teams, management, and governance forums. * Passionate learner and self-starter who stays current with evolving Generative AI tools and techniques. * Bachelor's degree in statistics, data science, computer science, engineering, mathematics, or a related quantitative field required. Advanced degree preferred. The technical skills you will bring: * Highly proficient in Python, ML libraries such as scikit-learn and data query language such as SQL and pyspark. * Experienced with modern Generative AI orchestration and evaluation frameworks, such as LangChain, LangGraph, agent frameworks, experiment tracking, and observability tools. * Experienced with modern engineering and developer productivity tools such as Github-copilot, Cursor, Claude Code and Codex. * Demonstrated understanding of engineering and model lifecycle best practices. * Demonstrated ability to assess complex model designs and identify weaknesses with material risk implications. * Strong foundation in statistics and machine learning concepts, including overfitting, regularization, multicollinearity, and parametric/non-parametric models., We are committed to a culture of diversity and inclusion that embraces the authenticity of all employees, partners and communities. We support all employees to thrive and achieve their fullest potential. What's life like at Pacific Life? Visit Instagram.com/lifeatpacificlife ## Description As an MRM Senior Data Scientist, you will lead independent validation and oversight across Generative AI and Machine Learning models. In this pivotal role, you will work closely with data scientists, business partners, and senior leaders to ensure models are fit for purpose and in line with our risk appetite. Join a growing company and help shape our approach to AI governance and validation. How you will make an impact: * Lead independent validation of Machine Learning and Generative AI models, including model design review, code review, testing, controls assessment, and quantitative bias/fairness review. * Serve as a trusted partner to analytic, legal, and compliance teams - build relationships and drive engagement, influence design decisions, and provide effective challenge that raises the bar on model quality and governance. * Champion efficient modeling techniques and strong governance throughout the model life cycle. * Design and build AI solutions that streamline internal team workflows and elevate oversight quality. * Track emerging tools, techniques, and regulations, and contribute to maturing the MRM and AI governance frameworks. ## Related Videos - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Overview of Machine Learning in Python](https://www.wearedevelopers.com/videos/840-overview-of-machine-learning-in-python) - [Are Code Reviews Worth It? Insights from 16 Years of Review Data](https://www.wearedevelopers.com/videos/1135-are-code-reviews-worth-it-insights-from-16-years-of-review-data) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j)