Plymouth Rock Assurance · 4 weeks ago
Data Science Intern
Plymouth Rock Assurance is a company that manages a significant portfolio of personal and commercial insurance. They are seeking a Data Science Intern to work on analytical and data engineering projects that drive business impact across various domains.
Auto InsuranceFinancial ServicesInsurance
Responsibilities
Support the design, construction, and optimization of robust data pipelines to enable machine learning and analytical modeling
Contribute to the design and implementation of data and ML workflows using orchestration tools such as Dagster, Airflow, or similar frameworks
Help implement data quality checks, validation routines, and monitoring for automated data workflows
Assist in organizing and managing internal GitHub repositories to standardize ML project structures and best practices
Collaborate with data scientists and engineers to automate the ingestion, transformation, and delivery of data for model development
Contribute to initiatives migrating analytical processes into cloud-based data lake architectures and modern platforms such as AWS or Snowflake
Develop reusable and well-tested code to support analytical pipelines and internal tools using Python and SQL
Conduct data mining, cleansing, and preparation tasks to build high-quality analytical datasets
Participate in model development, including data profiling, model training, validation, and interpretation
Build and evaluate predictive models that enhance profitability through improved segmentation and estimation of insurance risk
Assist in studies evaluating new business models for customer segmentation, retention, and lifetime value
Collaborate with business leaders to translate insights into operational improvements and cost efficiencies
Qualification
Required
Currently pursuing or recently completed a Master's in Data Science, Computer Science, Statistics, Economics, or related field
Proficiency in Python (Pandas, NumPy, Scikit-learn, XGBoost, or PyTorch) and SQL
Understanding of data engineering concepts, ETL/ELT workflows, and machine learning deployment
Exposure to workflow orchestration tools (e.g., Airflow, Dagster, Prefect) and Git/GitHub for collaborative development
Experience with common modeling techniques (e.g., GLM, tree-based models, Bayesian statistics, NLP, deep learning) through coursework or projects
Strong analytical, communication, and problem-solving skills
A self-starter mindset, with attention to detail and enthusiasm for learning new technologies
Preferred
Familiarity with Docker, CI/CD pipelines, and infrastructure-as-code tools such as Terraform preferred
Knowledge of AWS cloud services such as S3, Lambda, EC2, or SageMaker a plus
Company
Plymouth Rock Assurance
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H1B Sponsorship
Plymouth Rock Assurance has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (11)
2024 (12)
2023 (6)
2022 (7)
2021 (5)
2020 (12)
Funding
Current Stage
Late StageLeadership Team
Recent News
Plymouth Rock
2025-10-14
2025-08-13
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