Sr. ML Engineer

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

Benefits offered by this job

Medical, dental, vision

FSA/HSA plans

Life/AD&D/Disability insurance

401(k) company match up to 6%

Flexible PTO + 11 holidays + birthday

Top Workplace recognition

Job summary

Richmond National Insurance Company is seeking an experienced Sr. Data Scientist to lead data product development and ML initiatives.

You will design, deploy, and maintain scalable data pipelines and ML models, collaborating with engineers, analysts, and stakeholders to drive data-driven decisions. The role requires 5+ years in data science with expertise in ML, NLP, and LLM-based applications, plus strong SQL/Python and cloud experience.

Qualifications

• 5+ years in data science roles, preferably in insurance/finance
• Strong ML, statistical modeling, and AI knowledge
• Proficient in SQL, Python, Excel
• Experience with LLMs, NLP, and vision-language models
• Good data modeling, ETL, and data integration skills
• Proficient in Python/Java/Scala and SQL
• Experience with AWS ML services (SageMaker/Bedrock) and data visualization
• Strong communication and collaboration skills

Responsibilities

• Build and maintain scalable ML pipelines and MLOps infrastructure.
• Develop custom ML models and tune foundational models.
• Monitor model performance and accuracy; implement governance.
• Ensure data privacy and security in collaboration with IT leadership.
• Collaborate with cross-functional teams to deliver data-driven solutions.
• Stay updated on industry trends and adopt new tools.
• Document ML/AI pipelines and workflows for stakeholders.

Skills

ML modeling

NLP

Vision-Language Models

Python

Java

Scala

SQL

Excel

AWS ML/AI services

Tools

SageMaker

Bedrock

Job description

Job Description

We are seeking a skilled Sr. Data Scientist to join Richmond National Insurance Company. As a Data Scientist, you will work closely with the Director of Data & Innovation overseeing the design, development, and maintenance of our data products by ensuring their availability, reliability, and scalability. You will collaborate with cross-functional teams, including business stakeholders, data engineers, business analysts, and software engineers, to develop innovative data solutions that enable data-driven decision-making across the organization.

Responsibilities

• Data Science Infrastructure: 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.
• Model Development: 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.

Qualifications

• Proven experience (5+ years) as a Data Scientist, Data Analyst, Data Engineer or similar role, preferably in the insurance or financial industry or a similar domain, with at least 3 years as a Data Scientist.
• Strong experience in machine learning, statistical modeling, and artificial intelligence.
• Strong data analytical skills using SQL, Python, Excel etc.
• 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.

Compensation

At the time of posting, the expected base salary range for this role is $120,000-$130,000 annually. Additionally, this position is eligible for participation in our annual bonus program. Actual compensation will be determined by many factors, including but not limited to, location, education, certifications, qualifications, relevant experience, internal equity, business need, and any applicable minimum wage requirements. Richmond National offers a comprehensive benefits package, more details on which can be found below.

Benefits Overview

• Medical, Dental, and Vision insurance plans. FSA/HSA plans available.
• Basic Life/AD&D/Short Term/Long Term Disability coverage.
• 401(k) - Company match of up to 6%
• Flexible PTO plan, 11 paid company-wide holidays, plus your birthday off.
• Recognized as a Top Workplace by Richmond Times-Dispatch

Equal Employment Opportunity (EEO)

Richmond National is an equal employment opportunity employer, the Company’s employment decisions and practices are not and will not be unlawfully influenced or affected by race, color, creed, age, religion, national origin, sex, disability, genetic information, veteran status, uniformed services, sexual orientation (including transgender status, gender identity or expression), gender, traits historically associated with race, such as hairstyle, pregnancy, childbirth, or related medical conditions or on any other characteristic protected by applicable federal, state, or local law. This policy of equal employment opportunity applies to all policies and procedures relating to recruitment and hiring, compensation, benefits, and all other terms and conditions of employment.