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Data Science Remote Internship Jobs in Cranston, RI

Bcbsri

Health Data Analyst - Business Intelligence

Providence, RI · On-site +1

$73K - $110K/yr

  • Medical

  • Dental

  • Vision

  • PTO

It's why we offer flexible work arrangements that include remote and hybrid opportunities and paid ... Bachelor's degree in Computer Science, Mathematics, Economics or related field; or an equivalent ...

Bcbsri

Senior Data Visualization Analyst

Providence, RI · On-site +1

$93K - $140K/yr

  • Medical

  • Dental

  • Vision

  • PTO

It's why we offer flexible work arrangements that include remote and hybrid opportunities and paid ... Bachelor's degree in DataAnalytics, Information Systems, Computer Science, or a related field, or ...

Harris

(Remote) GIS Developer

Carolina, RI · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Configure and manage map services and data publishing workflows to ensure timely and accurate data ... Bachelor's degree in Geographic Information Systems, Computer Science, Geography, or a related ...

Harris

(Remote) GIS Developer

Carolina, RI · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Configure and manage map services and data publishing workflows to ensure timely and accurate data ... Bachelor's degree in Geographic Information Systems, Computer Science, Geography, or a related ...

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Showing results 21-40

All JobsData Science JobsData Science Remote Internship JobsData Science Remote Internship Jobs in Cranston, RI

Data Science Remote Internship information

See Cranston, RI salary details

$11

$22

$41

How much do data science remote internship jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for data science remote internship in Cranston, RI is $22.01, according to ZipRecruiter salary data. Most workers in this role earn between $16.92 and $23.99 per hour, depending on experience, location, and employer.

What is a data science remote internship?

A Data Science Remote Internship is a temporary, practical work experience opportunity in the field of data science that is completed remotely, usually from your own home or any location with internet access. Interns work on real-world projects involving data analysis, machine learning, and statistical modeling, often collaborating with teams through online communication tools. This type of internship is ideal for gaining hands-on experience, building a portfolio, and developing skills relevant to data science careers, all while offering flexibility and eliminating the need to relocate.

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

To thrive as a Data Science Remote Intern, you need a solid understanding of statistics, data analysis, and programming languages like Python or R, often supported by coursework or projects in data science or related fields. Familiarity with tools such as Jupyter Notebook, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow) is typically expected. Strong problem-solving abilities, self-motivation, and effective communication are essential soft skills for collaborating remotely and conveying analytical insights. These competencies ensure you can independently contribute to projects, adapt to remote workflows, and deliver actionable data-driven solutions.

What types of projects can I expect to work on during a remote data science internship, and how is project collaboration typically managed?

During a remote data science internship, you can expect to work on projects such as data cleaning, exploratory data analysis, model development, and visualization tasks that support ongoing business needs. Collaboration is commonly managed through virtual tools like Slack, Zoom, and project management platforms (e.g., Jira or Trello), with regular check-ins and code reviews from your mentor or team. Interns often participate in team meetings, contribute to group presentations, and use version control systems like Git to share code and receive feedback. This structure ensures you gain practical experience while staying connected with your team, even in a remote setting.

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

AspectData Science Remote InternshipData Analyst Remote Internship
Required CredentialsTypically pursuing or recent graduate in Data Science, Statistics, or related fieldsOften pursuing or recent graduate in Data Analysis, Business, or related fields
Work EnvironmentRemote, collaborative with data science teams, using programming languages like Python or RRemote, focusing on data interpretation, visualization, and reporting tools like Excel, SQL, Tableau
Employer & Industry UsageTech companies, finance, healthcare, startupsBusiness, marketing, finance, consulting firms

While both roles involve working with data remotely, Data Science Remote Internships focus on building predictive models and programming skills, whereas Data Analyst Remote Internships emphasize data interpretation, visualization, and reporting. The choice depends on your career goals and skill set.

What job categories do people searching Data Science Remote Internship jobs in Cranston, RI look for?

The top searched job categories for Data Science Remote Internship jobs in Cranston, RI are:

What cities near Cranston, RI are hiring for Data Science Remote Internship jobs?

Cities near Cranston, RI with the most Data Science Remote Internship job openings:

Data Science Remote Internship jobs near you
Infographic showing various Data Science Remote Internship job openings in Cranston, RI as of August 2026, with employment types broken down into 76% Full Time, 10% Part Time, and 14% Contract. Highlights an 10% In-person, and 90% Remote job distribution, with an average salary of $45,783 per year, or $22 per hour.

Senior Director of Fraud Intelligence & Strategy (Remote - GA & NC)

First Citizens Bank

Carolina, RI • Remote

Full-time

Posted 13 days ago

First Citizens Bank rating

7.4

Company rating: 7.4 out of 10

Based on 106 frontline employees who took The Breakroom Quiz

106th of 171 rated banks

Job description

Overview

This is a remote role that may only be hired in North Carolina or Georgia.

The Senior Director of Fraud Strategy & Analytics is a senior leadership role responsible for directing the bank's fraud risk strategy, analytics, reporting, and loss management activities across consumer, commercial, and digital banking channels. This executive will lead the development and execution of the enterprise fraud strategy roadmap, oversee fraud performance management, drive data-driven decision making, and ensure fraud losses remain within board-approved risk appetite.

The role partners closely with Business Lines, Operations, Technology, Product, Risk Management, Finance, Compliance, and Executive Leadership to identify emerging threats, enhance fraud controls, optimize customer experience, and deliver sustainable reductions in fraud losses. The Senior Director will lead a high-performing team of fraud strategists, analysts, and risk professionals while providing thought leadership on industry trends, emerging fraud typologies, and control innovation.


Responsibilities

Fraud Reporting & Executive Governance

  • Establish and oversee a comprehensive fraud reporting framework across the enterprise.
  • Deliver executive, board, and regulatory reporting on fraud performance, key risk indicators, and emerging threats.
  • Develop and enhance fraud scorecards, dashboards, performance metrics, and management reporting.
  • Ensure reporting accuracy, consistency, and transparency across all fraud disciplines.
  • Present fraud trends, strategic initiatives, and risk assessments to executive leadership and risk governance forums.

Loss Deconstruction & Root Cause Analytics

  • Lead enterprise fraud loss deconstruction efforts to identify underlying drivers, vulnerabilities, and control gaps.
  • Conduct deep-dive analyses to quantify loss sources across products, channels, attack vectors, and customer journeys.
  • Translate analytical insights into actionable business recommendations.
  • Establish methodologies for measuring fraud control effectiveness and return on investment.
  • Drive fact-based prioritization of risk mitigation initiatives.

Fraud Controls & Strategy Optimization

  • Identify opportunities to strengthen fraud controls while balancing customer experience and operational efficiency.
  • Lead the design, implementation, and optimization of fraud strategies, rules, authentication controls, and decisioning frameworks.
  • Partner with Fraud Operations and Technology teams to improve detection capabilities and fraud prevention effectiveness.
  • Oversee control testing, performance monitoring, and continuous improvement efforts.
  • Support implementation of advanced analytics, machine learning, and emerging fraud technologies.

Business Line Partnership

  • Serve as the primary fraud strategy partner to consumer banking, payments, cards, digital banking, commercial banking, and other business leaders.
  • Collaborate with product and business teams to evaluate fraud risks associated with new products, services, and strategic initiatives.
  • Influence investment decisions and prioritization of fraud mitigation initiatives.
  • Balance risk management objectives with customer, revenue, and growth considerations.
  • Build strong relationships across the enterprise to ensure alignment on fraud priorities and outcomes.

Team Leadership

  • Lead, mentor, and develop a team of fraud strategy, analytics, and reporting professionals.
  • Foster a culture of accountability, innovation, collaboration, and continuous improvement.
  • Establish performance objectives and succession planning strategies.
  • Attract, retain, and develop top fraud and analytics talent.
  • Promote analytical rigor and data-driven decision making throughout the organization.

Qualifications

Bachelor's Degree and 12 years of experience in Fraud risk management, fraud detection, and data analytics, OR High School Diploma or GED and 16 years of experience in Fraud risk management, fraud detection, and data analytics,

Bachelor's Degree and 12 years of experience in Fraud risk management, fraud detection, and data analytics, OR High School Diploma or GED and 16 years of experience in Fraud risk management, fraud detection, and data analytics,

Required Experience

  • Bachelor's degree in Finance, Business, Economics, Statistics, Mathematics, Data Science, Risk Management, or related field.
  • 12+ years of progressive experience in fraud risk management, fraud strategy, analytics, financial crimes, or related disciplines within a large financial institution.
  • 8+ years of management experience leading high-performing teams.
  • Demonstrated success managing fraud performance and loss mitigation programs in a large banking environment.
  • Experience developing and executing enterprise fraud strategies and roadmaps.
  • Proven track record of influencing senior executives and delivering measurable fraud loss reductions.
  • Risk Identification
  • Risk Mitigation 

Preferred Experience

  • Master's degree (MBA, Analytics, Data Science, Finance, or related discipline).
  • Experience supporting Board and Executive Risk Committee reporting.
  • Experience with payments, card fraud, deposit fraud, digital banking fraud, account takeover, check fraud, and emerging fraud typologies.
  • Knowledge of fraud detection technologies, machine learning applications, and advanced analytics techniques.
  • Professional certifications such as CFE, CRCM, CAMS, or equivalent.

Core Competencies

  • Fraud Strategy Development
  • Fraud Risk Management
  • Loss Deconstruction & Root Cause Analysis
  • Advanced Analytics & Data Interpretation
  • Executive Communication
  • Risk Appetite Management
  • Enterprise Governance & Reporting
  • Business Partnership & Influence
  • Strategic Planning & Roadmap Development
  • Fraud Controls & Optimization
  • Financial Acumen
  • Change Leadership
  • Talent Development
  • Cross-Functional Collaboration

#LI-LM1

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Qualifications:

Bachelor's Degree and 12 years of experience in Fraud risk management, fraud detection, and data analytics, OR High School Diploma or GED and 16 years of experience in Fraud risk management, fraud detection, and data analytics,

Bachelor's Degree and 12 years of experience in Fraud risk management, fraud detection, and data analytics, OR High School Diploma or GED and 16 years of experience in Fraud risk management, fraud detection, and data analytics,

Required Experience

  • Bachelor's degree in Finance, Business, Economics, Statistics, Mathematics, Data Science, Risk Management, or related field.
  • 12+ years of progressive experience in fraud risk management, fraud strategy, analytics, financial crimes, or related disciplines within a large financial institution.
  • 8+ years of management experience leading high-performing teams.
  • Demonstrated success managing fraud performance and loss mitigation programs in a large banking environment.
  • Experience developing and executing enterprise fraud strategies and roadmaps.
  • Proven track record of influencing senior executives and delivering measurable fraud loss reductions.
  • Risk Identification
  • Risk Mitigation 

Preferred Experience

  • Master's degree (MBA, Analytics, Data Science, Finance, or related discipline).
  • Experience supporting Board and Executive Risk Committee reporting.
  • Experience with payments, card fraud, deposit fraud, digital banking fraud, account takeover, check fraud, and emerging fraud typologies.
  • Knowledge of fraud detection technologies, machine learning applications, and advanced analytics techniques.
  • Professional certifications such as CFE, CRCM, CAMS, or equivalent.

Core Competencies

  • Fraud Strategy Development
  • Fraud Risk Management
  • Loss Deconstruction & Root Cause Analysis
  • Advanced Analytics & Data Interpretation
  • Executive Communication
  • Risk Appetite Management
  • Enterprise Governance & Reporting
  • Business Partnership & Influence
  • Strategic Planning & Roadmap Development
  • Fraud Controls & Optimization
  • Financial Acumen
  • Change Leadership
  • Talent Development
  • Cross-Functional Collaboration

#LI-LM1

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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