$125,000 - $150,000 / year + Bonus
JOB DESCRIPTIONAt Vertafore, Data Scientists play a critical role in transforming data into intelligent products and business outcomes. This role combines advanced analytics, machine learning, generative AI, and experimentation to drive innovation across our insurance technology platform.
The ideal candidate is a hands-on practitioner who can identify opportunities in complex datasets, develop production-grade machine learning and AI solutions, and collaborate cross-functionally to deliver measurable business impact. This role requires expertise in both traditional machine learning and emerging AI technologies, including large language models (LLMs), retrieval-augmented generation (RAG), agentic workflows, and AI-assisted product development.
Core Requirements and Responsibilities: Essential job functions include but are not limited to performing the following:
• Data Discovery & Strategic Analytics
o Explore, profile, and assess large structured and unstructured datasets.
o Identify opportunities for AI, machine learning, automation, and predictive analytics.
o Partner with product, engineering, and business stakeholders to translate business challenges into data science and AI solutions.
o Source, evaluate, and integrate internal and external data assets.
• Machine Learning & AI Development
o Design, develop, evaluate, and deploy machine learning models that support customer, operational, and product initiatives.
o Build predictive, classification, recommendation, forecasting, and optimization models.
o Develop and evaluate generative AI solutions utilizing foundational models and LLMs.
o Implement Retrieval-Augmented Generation (RAG), semantic search, vector databases, and agent-based AI systems where appropriate.
o Fine-tune, evaluate, and monitor AI models for performance, accuracy, bias, and business value.
o Apply modern feature engineering, model selection, hyperparameter optimization, and validation techniques.
• AI Product Innovation
o Partner with Product Management to identify and prioritize AI-driven product capabilities.
o Develop proof-of-concept and prototypes that accelerate innovation.
o Evaluate emerging AI technologies and recommend adoption strategies.
o Contribute to AI roadmaps and Enterprise AI strategy.
• MLOps & Productionalization
o Build and maintain scalable ML and AI pipelines.
o Collaborate with software engineers to deploy and monitor production models.
o Implement CI/CD practices for machine learning and AI systems.
o Establish model monitoring, drift detection, retraining, observability, and governance processes.
o Ensure reproducibility, traceability, and auditability of data science assets.
• Responsible AI & Governance
o Apply ethical AI principles, fairness assessments, and risk management practices.
o Ensure compliance with security, privacy, regulatory, and governance requirements.
o Participate in AI governance reviews and model risk assessments.
• Collaboration & Technical Leadership
o Mentor data scientists and analysts
o Conduct code reviews, model reviews, and technical design reviews.
o Communicate complex technical concepts to technical and non-technical audiences.
o Contribute to best practices, standards, and reusable AI frameworks.
Skills & Requirements
Qualifications:
• Bachelor's degree or equivalent in a quantitative field such as Computer Science, Applied Mathematics, Engineering, or related field
• 6+ years of experience working with data sets and building statistical models
• Strong communication and interpersonal skills
• Passion for data and analytics
• Ability to quickly learn and execute
Experience with:
machine learning platforms:
• Tensorflow
• Keras
• HuggingFace
• Amazon SageMaker/AWS
machine learning tasks:
• classification
• regression
• clustering
• dimensionality reduction
• natural language processing
• recommender systems
machine learning operations:
• data management
• data monitoring
• model development
• model deployment
• model monitoring
• infrastructure
programming languages and related tools:
• Python
• Git
• SQL
Preferred Requirements:• 6+ years of experience working with complex data sets and building statistical models
• Master's Degree in Data Science/Statistics Preferred
Additional Requirements and Details:• Travel required up to 10% of the time.
• Located and working from an office location.
• Occasional lifting and/or moving up to 10 pounds.
• Frequent repetitive hand and arm movements required to operate a computer.
• Specific vision abilities required by this job include close vision (working on a computer, etc.).
• Frequent sitting and/or standing.
Is this role not an exact fit for you? Keep an eye on our for other positions!
Qualifications Vertafore is a Flexible First working environment which allows team members to work from home as often as you'd like, while using our offices as a place for collaboration, community, and teambuilding. There are times you may be asked to come into an office and/or travel for specific meetings for a specific business purpose and this varies by job responsibilities.
Why Vertafore is the place for you: *Canada Only
- The opportunity to work in a space where modern technology meets a stable and vital industry
- Medical, vision & dental plans
- Life, AD&D
- Short Term and Long Term Disability
- Pension Plan & Employer Match
- Maternity, Paternity and Parental Leave
- Employee and Family Assistance Program (EFAP)
- Education Assistance
- Additional programs - Employee Referral and Internal Recognition
Why Vertafore is the place for you: *US Only
- The opportunity to work in a space where modern technology meets a stable and vital industry
- We have a Flexible First work environment! Our North America team members use our offices for collaboration, community and team-building, with members asked to sometimes come into an office and/or travel depending on job responsibilities. Other times, our teams work from home or a similar environment.
- Medical, vision & dental plans
- PPO & high-deductible options
- Health Savings Account & Flexible Spending Accounts Options:
- Health Care FSA
- Dental & Vision FSA
- Dependent Care FSA
- Commuter FSA
- Life, AD&D (Basic & Supplemental), and Disability
- 401(k) Retirement Savings Plain & Employer Match
- Supplemental Plans - Pet insurance, Hospital Indemnity, and Accident Insurance
- Parental Leave & Adoption Assistance
- Employee Assistance Program (EAP)
- Education & Legal Assistance
- Additional programs - Tuition Reimbursement, Employee Referral, Internal Recognition, and Wellness
- Commuter Benefits (Denver)
The Professional Services (PS) and Customer Success (CX) bonus plans are a quarterly monetary bonus plan based upon individual and practice performance against specific business metrics. Eligibility is determined by several factors including: start date, good standing in the company, and actives status at time of payout.
The Vertafore Incentive Plan (VIP) is an annual monetary bonus for eligible employees based on both individual and company performance. Eligibility is determined by several factors including: start date, good standing in the company, and actives status at time of payout.
Commission plans are tailored to each sales role but common components include quota, MBO's and ABPMs. Salespeople receive their formal compensation plan within 30 days of hire.
