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As a Data Science/Data Engineer Intern, you will work on cutting-edge analytical and data engineering projects that drive measurable business impact across pricing, underwriting, marketing, and claims. This internship is ideal for a technically curious, motivated problem-solver who wants hands-on data science experience. 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. QUALIFICATIONS • 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., • 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., • 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. SALARY RANGE The pay range for this position is $35 hourly. ABOUT THE COMPANY The Plymouth Rock Company and its affiliated group of companies write and manage over $2 billion in personal and commercial auto and homeowner’s insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 1,900 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of “A-/Excellent."

Remote position with the ability to travel to our NJ and NY locations up to 25% of the time. Position Summary: Full Stack AI Developer to support enterprise AI initiatives across underwriting, claims, operations, and digital platforms. This role combines full-stack software engineering with applied AI/ML and Generative AI development, including Large Language Models (LLMs), Multiagent system design, and intelligent automation. • Design and develop full-stack AI-enabled applications using Python, React/Next.js, and REST/GraphQL APIs., • Build and integrate Generative AI solutions including copilots, document intelligence, and conversational workflows., • Implement agentic AI patterns, RAG architecture, MCP servers and workflow orchestration., • Develop scalable backend services and microservices., • Implement parameter-efficient fine-tuning (PEFT) techniques like LoRA/MLoRA., • Implement MLOps/LLMOps pipelines with CI/CD using Azure DevOps., • Deploy and manage AI applications on Azure Cloud., • Ensure security, compliance, and responsible AI practices., • Mentor junior developers and conduct code reviews., • Participate in code reviews and provide mentorship to junior developers., • Bachelor's or Master's degree in Computer Science, Information Systems, or related field; or equivalent training/experience required., • 5+ years of experience in full-stack development (Python, React, .NET, SQL, PostgreSQL) required., • 3+ years of experience with Generative AI and Agentic AI architecture required., • Experience with AI/ML frameworks and cloud-based AI services required., • AI and Cloud certifications preferred., • Experience in the insurance industry is strongly preferred., • Proficiency in Python, React, .NET (Framework/Core), SQL, PostgreSQL., • Multiagent system design (agent orchestration, planning, coordination, tool invocation), • Experience with Azure DevOps, Azure Foundry, and Azure Cloud services, • Implementation experience of RESTful & event-driven architectures, and container technologies (Docker/Kubernetes)., • Experience with RAG architectures, techniques like LoRA/mLoRA and MCP Servers, • Familiarity with DevOps practices., • Knowledge of data integration, ETL processes, and data governance frameworks., • Experience with Agile/Scrum methodologies., • Excellent problem-solving, troubleshooting, and documentation skills.

Remote position with the ability to travel to our NJ and NY locations up to 25% of the time. Position Summary: Data Engineer with previous experience in the insurance domain, design, build, and maintain scalable data pipelines and models that power analytics and Generative AI initiatives. The Data Engineer will collaborate closely with analysts and engineers, to understand data needs, develop efficient solutions, and ensure the integrity, performance, and security of our data systems. • Analyze integration and system requirements by understanding business needs and designing effective data solutions, particularly for Guidewire Policy, Billing Center and Commercial P&C data domains., • Design, develop, and optimize ELT pipelines to ingest, transform, and load data into a Delta Lakehouse platform., • Design, Develop and maintain data models and schemas ensuring data quality and integrity., • Build and maintain dashboards and reports delivering actionable business insights., • Monitor pipeline and storage performance; troubleshoot and resolve data issues promptly., • Collaborate with cross-functional teams, including analysts and business users, to deliver end-to-end insurance data solutions., • Implement data governance, security, and compliance standards across platforms., • Conduct root cause analysis for system failures and performance events; drive continuous improvements in enterprise data integration pipelines., • Create and manage testing procedures (unit, scenario, end-to-end) to ensure pipeline reliability., • Stay current with emerging technologies and recommend improvements to workflows., • Mentor team members on data engineering tools, Guidewire data model concepts and best practices., • Build and maintain data pipelines to process structured and unstructured data (like documents and text) for Generative AI tasks, including creating embeddings and working with vector databases to support AI search features., • Prepare and clean large datasets to ensure high-quality inputs for training and fine-tuning Generative AI models., • Collaborate with AI and data science teams to understand data requirements and deliver scalable solutions that support model training and inference., • Implement processes to enrich data with metadata and context to improve AI model accuracy and relevance., • Optimize data storage and retrieval methods to support fast, low-latency responses for AI-powered applications., • Monitor data workflows for Generative AI projects, troubleshooting issues, and ensure continuous pipeline performance., • Bachelor's degree in relevant field of study required(e.g. computer science, data science, data analytics, applied mathematics, etc.), • 5+ years of progressive work experience in IT or a related field required., • 3+ years of experience in data engineering and analytics, with a solid foundation in data architecture and integration, including hands-on work with complex enterprise P& C Insurance data models required., • 2+ years of experience with data-centric projects within the Guidewire ecosystem, including working with Guidewire Policy Center and related data structures required., • In-depth understanding of relational database systems (e.g., Oracle, SQL Server, MySQL), including their features and performance optimization strategies., • Solid grasp of ETL processes, data pipeline architectures, and data integration techniques, particularly for operational source systems such as Guidewire., • 2+ years of hands-on experience with Azure Databricks, Azure data factory including developing and optimizing data pipelines using Apache Spark required., • 2+ years of experience working with Power BI or other leading data visualization and reporting tools required., • Proven expertise with Apache Spark, Delta Lakehouse, and data warehousing technologies required., • Proficient in Microsoft Azure services, including:, • Azure SQL Database, • Azure Data Lake Storage Gen2, • Azure Event Grid, • Azure Key Vault, • Strong understanding of CI/CD pipelines and experience in Agile development environments., • Demonstrated ability to troubleshoot system issues, identify root causes, and implement effective solutions quickly., • Capable of managing multiple priorities with strong attention to detail and follow-through., • Working knowledge of Generative AI frameworks and use cases in data engineering is a plus., • Knowledge of data governance, metadata management, and data quality frameworks., • Understanding of data security and privacy principles, including encryption, anonymization, and access control mechanisms., • Proficient in Microsoft Office Suites, • Strong understanding of the Insurance Domain and Experience using Guidewire CDA data model to build use case specific datasets., • Data Modeling, • Expertise in Azure Databricks, Azure Data Factory, Apache Spark, and data pipeline development for scalable data engineering solutions, • Collaboration with cross-functional groups

Collaborate with business units, IT, and data governance teams to understand data requirements and priorities. Partner with data governance teams to establish and enforce policies, standards, and best practices for MDM. Familiarity with data governance frameworks, data modeling, and ETL processes.

Job Description This position is open to U.S. Citizens only. Job SummaryWe are seeking an experienced Senior Kinaxis RapidResponse Consultant to support and lead end-to-end Kinaxis implementations. The ideal candidate will possess strong functional expertise in supply chain planning and hands-on experience configuring and delivering Kinaxis RapidResponse solutions. This role involves close collaboration with business stakeholders, project teams, and solution architects to design, implement, and support scalable supply chain planning solutions.Key ResponsibilitiesUnderstand complex supply chain planning challenges and provide expert guidance on Kinaxis RapidResponse implementations.Collaborate with project teams and solution architects to design business processes leveraging Kinaxis capabilities.Analyze business requirements and translate them into functional and technical Kinaxis solutions.Design, build, configure, and customize Kinaxis RapidResponse applications.Lead implementation activities including configuration, testing, deployment, training, and knowledge transfer.Develop and maintain technical and functional documentation.Provide post-implementation technical support and troubleshoot application issues.Coordinate with internal and external stakeholders to ensure successful project delivery.Essential Skills & QualificationsStrong understanding of supply chain planning concepts including Demand Planning, Supply Planning, and S&OP.Hands-on experience in configuring and customizing Kinaxis RapidResponse solutions.Proven experience managing Kinaxis implementation projects and coordinating stakeholdersStrong problem-solving skills with high attention to detail.Excellent written and verbal communication skills in English.Bachelor’s degree in Engineering or a related field.4+ years of hands-on Kinaxis implementation experience (overall experience: 6–8 years).Kinaxis Solution Consultant Certification – Level 1 or above.Experience in developing and maintaining technical and functional documentation.Desirable SkillsExposure to advanced Kinaxis modules and integrations.Experience working in global or multi-country supply chain environments.Knowledge of data integration, ETL, or ERP systems (SAP, Oracle, etc.).

ETL Informatica Lead Branchville, New Jersey Job Type: Contract Job Description We are seeking an experienced ETL Informatica Lead to join our team on a contract basis in Branchville, United States. Troubleshoot and resolve complex ETL issues and errors. Stay up-to-date with industry trends and adva

A leading digital engineering solutions company based in Mexico is seeking professionals to design and implement ETL/ELT pipelines.

ETL developer Informatica Powercenter IICS Branchville, NJ (5 days per week (no remote or hybrid option).

At Audible, we believe stories have the power to transform lives.It’s why we work with some of the world’s leading creators to produce and share audio storytelling with our millions of global listeners.We are dreamers and inventors who come from a wide range of backgrounds and experiences to emp

ETL developer Informatica Powercenter IICS Branchville, NJ (5 days per week (no remote or hybrid option).

At Audible, we believe stories have the power to transform lives.It's why we work with some of the world's leading creators to produce and share audio storytelling with our millions of global listeners.We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower

Product Testers are wanted to work from home nationwide in the US to fulfill upcoming contracts with national and international companies.We guarantee 15-25 hours per week with an hourly pay of between $25 / hr.There is no payment required in order to apply or to work as an In-Home Usage Tester.You

Product Testers are wanted to work from home nationwide in the US to fulfill upcoming contracts with national and international companies.We guarantee 15-25 hours per week with an hourly pay of between $25 / hr.There is no payment required in order to apply or to work as an In-Home Usage Tester.You

At Audible, we believe stories have the power to transform lives.It’s why we work with some of the world’s leading creators to produce and share audio storytelling with our millions of global listeners.We are dreamers and inventors who come from a wide range of backgrounds and experiences to emp

Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform.AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments.Experts contribute directly to how A

Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform.AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments.Experts contribute directly to how A

Product Testers are wanted to work from home nationwide in the US to fulfill upcoming contracts with national and international companies.We guarantee 15-25 hours per week with an hourly pay of between $25 / hr.There is no payment required in order to apply or to work as an In-Home Usage Tester.You

Product Testers are wanted to work from home nationwide in the US to fulfill upcoming contracts with national and international companies.We guarantee 15-25 hours per week with an hourly pay of between $25 / hr.There is no payment required in order to apply or to work as an In-Home Usage Tester.You

Product Testers are wanted to work from home nationwide in the US to fulfill upcoming contracts with national and international companies.We guarantee 15-25 hours per week with an hourly pay of between $25 / hr.There is no payment required in order to apply or to work as an In-Home Usage Tester.You

Product Testers are wanted to work from home nationwide in the US to fulfill upcoming contracts with national and international companies.We guarantee 15-25 hours per week with an hourly pay of between $25 / hr.There is no payment required in order to apply or to work as an In-Home Usage Tester.You

Product Testers are wanted to work from home nationwide in the US to fulfill upcoming contracts with national and international companies.We guarantee 15-25 hours per week with an hourly pay of between $25 / hr.There is no payment required in order to apply or to work as an In-Home Usage Tester.You

Product Testers are wanted to work from home nationwide in the US to fulfill upcoming contracts with national and international companies.We guarantee 15-25 hours per week with an hourly pay of between $25 / hr.There is no payment required in order to apply or to work as an In-Home Usage Tester.You

Part-time Research Study Personnel (Pay up to $790/wk.Due to demand, we are now accepting applications for personnel to participate in our local in-person and nationwide remote research studies.This gig is perfect for those looking for temporary, remote, part-time work.The hours are flexible and no

Seeking participants for Focus Group and market research studies.Work part-time from home and earn up to $750 per week.Register to see if you are eligible.Call Center Representative Agent experience not required.Remote Work From Home Call Center Representative Agent - Part Time Market Research Panel

Seeking participants for Focus Group and market research studies.Work part-time from home and earn up to $750 per week.Register to see if you are eligible.Customer service representative agent experience not required.Remote Work From Home Customer Service Representative Agent - Part Time Market Rese

Location: 160 Raritan Center Parkway, Unit 1, Edison, NJ, 08837, United States.Relocation Expense Covered: No.Description Requirements Summary.