Sr. Data Scientist

$125000 - $150000 / year Bonus

The insurance industry runs on Vertafore. We equip agencies MGAs and carriers with the core digital systems specialized AI and data-driven foundation to eliminate distribution drag across the insurance lifecycle spanning sales servicing and back-office operations.

Underpinned by unmatched speed and performance power we are the trusted backbone thats taking the insurance industry from friction to flow with Distribution Velocity speed performance and trust - to drive growth at scale.

With over 95% of the top agencies and insurers and 50% of industry compliance transactions running through Vertafore we lead at the intersection of innovation and trust giving insurance professionals the confidence to transform and win in the AI era.

Our reach is global with headquarters in Denver Colorado and offices across the U.S. Canada and India.

JOB DESCRIPTION

At 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.

Qualifications:

Bachelors 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

Masters 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 Careers Page for other positions!

Vertafore is a drug free workplace and conducts preemployment drug and background screenings.

The selected candidate must be legally authorized to work in the United States.

The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all the job responsibilities duties skill or working addition this document does not create an employment contract implied or otherwise other than an at will relationship.

Vertafore strongly supports equal employment opportunity for all applicants regardless of race color religion sex gender identity pregnancy national origin ancestry citizenship age marital status physical disability mental disability medical condition sexual orientation genetic information or any other characteristic protected by state or federal law.

We do not accept resumes from agencies headhunters or other suppliers who have not signed a formal agreement with us.