Senior Data Scientist — ML & AI Pipelines, Flexible PTO

Richmond National Group; Glen Allen (VA); On-site; USD 120,000 - 130,000; Full time

Benefits offered by this job

Medical, Dental, and Vision insurance

401(k) Company match up to 6%

Flexible PTO, holidays, birthday off

Job summary

Richmond National Insurance Company is seeking a Sr. Data Scientist to design, develop, and maintain data products ensuring availability, reliability, and scalability. You will collaborate with cross-functional teams to enable data-driven decisions across the organization.

Responsibilities include ML model development, MLOps, data privacy, and continuous improvement, with a focus on building scalable cloud infrastructure and delivering impactful analytics solutions.

Qualifications

• 5+ years experience as a Data Scientist/Data Analyst/Data Engineer or similar role, preferably in insurance/financial industry, with at least 3 years as a Data Scientist.
• Strong experience in machine learning, statistical modeling, and AI.
• Strong data analytical skills using SQL, Python, Excel.
• Experience in using Language Models, NLP models, Vision Language Models for various text understanding and document understanding use cases.
• Good understanding of data modeling, ETL development, and data integration techniques.
• Proficiency in programming languages such as Python, Java, or Scala, and experience with SQL and database technologies.
• Experience in AWS ML/AI services and tools such as SageMaker, Bedrock.
• Strong experience with data visualization tools and techniques.
• Effective communication and collaboration skills to work with cross-functional teams and stakeholders.
• Excellent analytical, problem-solving skills and strong attention to detail.

Responsibilities

• DataScienceInfrastructure: Contribute to building and maintaining robust and scalable cloud data science infrastructure, including MLOps, building machine learning pipelines to support training, validation and monitoring of models.
• ModelDevelopment: Develop custom ML models, deep learning models, algorithms, and fine tune foundational models.
• Performance Optimization: Implement processes and tools to monitor the performance and accuracy of models trained.
• Data Security: Collaborate with the data and IT leadership team to implement data privacy and security measures, ensuring compliance with regulations and standards.
• Collaboration and Communication: Collaborate with cross-functional teams to understand the organization’s needs and deliver business solutions, leveraging company data to support their requirements.
• Continuous Improvement: Stay up to date with industry trends, emerging technologies, algorithms, and best practices in data science. Proactively introduce new tools and techniques to improve processes and efficiency while developing and maintaining the models.
• Documentation: Maintain comprehensive documentation of ML/AI pipelines, workflows, and algorithms, ensuring clear documentation for both technical and non-technical stakeholders.

Skills

Machine learning

Statistical modeling

NLP models

Vision-Language Models

SQL/Python/Excel

Cross-functional collaboration

Tools

SageMaker

Bedrock

Job description

Richmond National Insurance Company is seeking a Sr. Data Scientist to design, develop, and maintain data products ensuring availability, reliability, and scalability. You will collaborate with cross-functional teams to enable data-driven decisions across the organization.

Responsibilities include ML model development, MLOps, data privacy, and continuous improvement, with a focus on building scalable cloud infrastructure and delivering impactful analytics solutions.