2

Remote Data Science Apprenticeship Jobs in Connecticut

$40/hr

Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

$40/hr

Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

$40/hr

Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

$40/hr

Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

$40/hr

Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

$40/hr

Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

$40/hr

Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

$40/hr

Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Showing results 41-60

Remote Data Science Apprenticeship information

What is a remote data science apprenticeship?

A Remote Data Science Apprenticeship is a structured training program that allows individuals to gain practical experience in data science while working from a remote location. These apprenticeships typically combine mentorship, hands-on projects, and coursework to help participants develop essential skills like data analysis, machine learning, and programming. Apprentices work with real-world datasets and collaborate with experienced data scientists, often as part of a distributed team. The remote format offers flexibility and accessibility, making it easier for people from various backgrounds to enter the data science field.

What are the key skills and qualifications needed to thrive as a remote data science apprentice?

To thrive as a Remote Data Science Apprentice, you need a solid understanding of statistics, programming (commonly Python or R), and a relevant educational background such as coursework or a degree in computer science, mathematics, or a related field. Familiarity with data analysis tools like Pandas, NumPy, SQL, and visualization platforms, as well as version control systems such as Git, is typically required. Strong communication, problem-solving abilities, and self-motivation are essential soft skills for remote collaboration and continuous learning. These skills and qualities are crucial for effectively analyzing data, contributing to team projects, and adapting to the dynamic, independent nature of remote work environments.

What are some common challenges faced during a remote data science apprenticeship, and how can they be overcome?

Remote data science apprenticeships often present challenges such as limited face-to-face mentorship, managing time across different projects, and staying motivated without in-person team dynamics. To overcome these, it's important to proactively communicate with your mentors and peers, make use of collaborative tools like Slack or Zoom, and set clear, achievable goals each week. Establishing a structured daily routine and regularly participating in virtual team meetings can also help maintain accountability and foster a sense of connection with the team.

What is the difference between Remote Data Science Apprenticeship vs Remote Data Analyst?

AspectRemote Data Science ApprenticeshipRemote Data Analyst
Required CredentialsTypically entry-level, often requiring a background in math, statistics, or computer science; may include certifications or coursesUsually requires a degree in data-related fields; certifications like Excel, SQL, or Tableau are common
Work EnvironmentTraining-focused, often with mentorship; may involve project-based learningOperational, analyzing data to support business decisions; may involve reporting and visualization
Employer & Industry UsageUsed by companies to train future data scientists; common in tech, finance, healthcareUsed across industries for data-driven decision making; common in marketing, finance, retail

The Remote Data Science Apprenticeship is a training program designed to develop skills in data science, often with mentorship, while a Remote Data Analyst focuses on analyzing and interpreting data to inform business strategies. Both roles require familiarity with data tools, but apprenticeships emphasize learning and growth, whereas analyst roles focus on applying existing skills.

What are popular job titles related to Remote Data Science Apprenticeship jobs in Connecticut?

For Remote Data Science Apprenticeship jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Remote Data Science Apprenticeship jobs in Connecticut look for?

The top searched job categories for Remote Data Science Apprenticeship jobs in Connecticut are:

What cities in Connecticut are hiring for Remote Data Science Apprenticeship jobs?

Cities in Connecticut with the most Remote Data Science Apprenticeship job openings:

Sr. Underwriting Strategy Analyst - Remote Opportunity

GuideOne Insurance

Hartford, CT โ€ข Remote

Full-time

Re-posted 20 days ago


Job description

The Senior Underwriting Strategy Analyst supports the Director of Underwriting Strategy in driving portfolio performance, optimizing underwriting, and advancing strategic initiatives across the underwriting lifecycle. This role blends analytics, underwriting expertise, and cross-functional leadership to improve risk selection, profitability, and operational efficiency.

Accountabilities:

Underwriting Strategy & Portfolio Management

  • Support development and execution of underwriting strategies aligned to growth, profitability, and risk appetite goals
  • Analyze portfolio performance trends (loss ratio, hit rate, retention, pricing adequacy) and recommend actionable improvements
  • Monitor underwriting guidelines and identify opportunities for refinement based on emerging experience and market dynamics
  • Assist in segmentation strategies to optimize risk selection and pricing precision

Data Analysis & Insights

  • Conduct advanced data analysis to identify drivers of loss, profitability, and underwriting performance
  • Develop dashboards, scorecards, and reporting frameworks for leadership visibility
  • Partner with actuarial, data science, and finance teams to evaluate pricing models and assumptions
  • Translate complex data into clear, actionable recommendations for underwriting leadership

Underwriting Governance & Execution

  • Support governance frameworks including referral processes, authority structures, and underwriting controls
  • Perform audits and quality assurance reviews to ensure adherence to underwriting guidelines
  • Identify process gaps and recommend enhancements to improve consistency and decision quality

Cross-Functional Collaboration

  • Partner with Product, Actuarial, Claims, Distribution, and Operations to align strategy and execution
  • Contribute to product development, coverage enhancements, and market positioning initiatives
  • Support field underwriting teams with insights, tools, and strategic guidance

Process Improvement & Transformation

  • Identify and lead initiatives to streamline underwriting workflows and reduce friction
  • Support automation, digitization, and decision-support tool development
  • Drive continuous improvement in underwriting efficiency and scalability

Strategic Projects

  • Lead or support high-impact initiatives such as:
    • New program or segment launches
    • Profitability remediation strategies
    • Expansion into new markets or distribution channels
  • Prepare executive-level presentations and strategic recommendations