Machine Learning Scientist

Tower Hill Insurance Group

Machine Learning Scientist developing actionable insights and solutions for Tower Hill Insurance. Collaborating with stakeholders to drive analytical projects and improve customer experience.

Posted 5/15/2026full-timeRemote • Connecticut, Florida, Iowa, Kentucky, Mississippi, Missouri, North Carolina, Ohio, South Carolina, Tennessee, Texas, Utah, Virginia, West Virginia • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSCloudPandasPostgresPySparkPythonPyTorchScikit-Learn

About the role

Key responsibilities & impact

Develop actionable insights and recommendations in support of business objectives using in-house and external data sources
Collaborate with business and data engineering professionals for timely and reliable delivery of data solutions
Leverage deep expertise in data engineering, data science, advanced analytics, and insurance industry data to aid business partners in risk management
Drive efficiencies and improve customer experience
Partner with business stakeholders to scope, structure, and drive analytical projects from requirements through delivery
Present findings and recommendations clearly to both technical and non-technical audiences
Source, validate, and integrate structured and unstructured data across platforms
Conduct exploratory data analysis to reveal data quality issues and identify opportunities
Analyze business trends, time series patterns, model performance, and causal relationships using advanced statistical and machine learning / deep learning methods
Design, build, and deploy machine learning / deep learning models — including NLP, computer vision, and LLM-based solutions
Create visualizations, dashboards, and reports that communicate analytical and model results to support decision-making across the organization
Own and maintain recurring analytical, reporting, and model-monitoring processes
Document data pipelines, model architecture, analytical frameworks, and deliverables for knowledge sharing across technical and non-technical teams

Requirements

What you’ll need

High School Diploma or GED required
Bachelor’s Degree in Computer Science, Statistics, Mathematics, Engineering, or related field required
Master’s Degree or higher preferred
Minimum of five (5) years of relevant work experience in machine learning and/or deep learning required
Advanced Proficiency in Python
Demonstrated ability to build and deploy ML models using frameworks such as scikit-learn, PyTorch, Hugging Face Transformers
Experience working with cloud data platforms and warehouses (e.g., Snowflake, PostgreSQL) and cloud storage (e.g., S3)
Strong written and verbal communication skills with the ability to present complex technical concepts and insights to non-technical stakeholders
Proven ability to work independently, drive projects forward with minimal oversight, and execute in stakeholder-facing environments
Experience with deep learning, NLP, computer vision, or large language model development and deployment highly preferred
Hands-on experience with statistical methods (hypothesis testing, regression, causal inference), exploratory techniques (clustering, PCA), anomaly detection, forecasting, and time series analysis
Experience with data processing at scale using PySpark, Pandas, or similar libraries to clean, transform, and integrate data from multiple sources
Experience with visualization tools such as Power BI, matplotlib, seaborn, or plotly
Familiarity with API development and deployment using frameworks such as FastAPI
Experience with AWS services such as SageMaker, S3, Lambda, or Glue
Property and casualty insurance or financial services industry work experience including regulatory standards and best practices is a plus.

Benefits

Comp & perks

Medical
Dental
Vision
Life & Disability Insurance
401(k)
Health Savings Account
Accident, Critical Illness and Hospital Indemnity
Pet insurance
Paid time off & Holiday pay

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningdeep learningPythonscikit-learnPyTorchHugging Face Transformersstatistical methodsdata processingexploratory data analysistime series analysis

Soft Skills

communication skillsindependent workproject managementstakeholder engagementanalytical thinkingproblem-solvingcollaborationpresentation skillsattention to detailknowledge sharing

Certifications

Bachelor’s DegreeMaster’s DegreeHigh School DiplomaGED