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Remote Data Science Student Jobs in Columbus, OH

Data Scientist - Predictive Analytics

Columbus, OH ยท On-site +1

$108K - $181K/yr

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering , or ... Standard office/remote work environment CoverMyMeds and McKesson value diverse perspectives and are ...

Master's or doctoral degree in quantitative science, social science, or a related discipline ... Our Together with Flexibility model allows you to work 60% in-office and 40% remote, with Monday ...

Bachelor's degree in quantitative science, social science, or a related discipline * Proficiency ... Our Together with Flexibility model allows you to work 60% in-office and 40% remote, with Monday ...

Master's degree in computer science, statistics, economicsor related field * 5+ years of experience ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

PhD in computer science, statistics, economics or related fields Expert understanding of ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

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Remote Data Science Student information

See Columbus, OH salary details

$40.1K

$137.6K

$194.1K

How much do remote data science student jobs pay per year?

As of Jun 13, 2026, the average yearly pay for remote data science student in Columbus, OH is $137,602.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $160,800.00 per year, depending on experience, location, and employer.

Can I get a data scientist job with no experience?

Entry-level data scientist positions often require some knowledge of programming languages like Python or R, and familiarity with data analysis tools. While prior experience is beneficial, candidates can improve their chances by completing relevant coursework, projects, or certifications to demonstrate skills to employers.

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

AspectRemote Data Science StudentRemote Data Analyst
Required CredentialsEnrolled in or recently completed data science courses, certificationsDegree in statistics, mathematics, or related field; some certifications
Work EnvironmentLearning-focused, internship or entry-level projects, mentorshipAnalyzing data, creating reports, supporting decision-making
Employer & Industry UsageEducational institutions, internships, entry-level roles in tech, finance, healthcareBusinesses across industries, performing routine data analysis tasks

The main difference is that a Remote Data Science Student is typically in training or early learning stages, focusing on gaining skills through coursework and internships. In contrast, a Remote Data Analyst is usually engaged in applying existing skills to analyze data and generate insights for organizations. Both roles are entry-level but differ in experience, responsibilities, and focus areas.

What are remote data science students?

Remote data science students are individuals who study data science through online programs or courses, rather than attending classes in person. They learn key concepts such as statistics, machine learning, and programming using digital resources and remote instruction. This flexible approach allows students to access high-quality education from anywhere, often at their own pace. Remote data science students may participate in virtual classes, complete assignments online, and collaborate with peers and instructors through digital platforms.

Can I get a remote job as a data scientist?

Yes, remote data scientist positions are available across various industries and companies. These roles typically require strong skills in programming, data analysis, and machine learning, and often involve using tools like Python, R, and cloud platforms. Candidates should have relevant education, experience, and sometimes certifications to qualify for remote work opportunities.

Is 30 too late for data science?

The remote data science student role typically values skills and experience over age; many professionals transition into data science later in life. Learning programming languages like Python, gaining experience with data analysis tools, and building a portfolio can help regardless of age. Age should not be a barrier to entering the field if you develop relevant skills and stay committed.

How do Remote Data Science Students typically collaborate and communicate with peers and instructors to enhance their learning experience?

Remote Data Science Students often engage with peers and instructors through online platforms such as discussion forums, video calls, and collaborative coding environments. Regular participation in virtual study groups, project teams, and mentorship sessions can help students stay motivated and deepen their understanding of complex topics. Proactively reaching out for feedback, sharing progress, and contributing to group projects are key ways to build valuable connections and learn industry-relevant teamwork skills, even in a remote setting.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to improve model performance efficiently.

What are the key skills and qualifications needed to thrive as a Remote Data Science Student, and why are they important?

To thrive as a Remote Data Science Student, you need a solid grounding in statistics, programming (Python or R), and data analysis, often supported by a relevant undergraduate degree or coursework. Familiarity with tools like Jupyter Notebooks, SQL, Git, and data visualization software is essential, along with experience using online learning platforms. Strong time management, self-motivation, and effective communication skills help you stay on track and engage with peers and instructors remotely. Mastering these skills ensures you can independently acquire knowledge, complete projects, and collaborate effectively in a virtual learning environment.
What are popular job titles related to Remote Data Science Student jobs in Columbus, OH? For Remote Data Science Student jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Remote Data Science Student jobs in Columbus, OH look for? The top searched job categories for Remote Data Science Student jobs in Columbus, OH are:
Predictive Modeler - P&C Commercial Actuarial Consultant - REMOTE

Predictive Modeler - P&C Commercial Actuarial Consultant - REMOTE

Nationwide

Columbus, OH โ€ข Remote

$53 - $68.50/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Job description

As a team member in Finance at Nationwide, a Fortune 100 company with nearly $70 billion in annual sales, the opportunities are endless! Let Nationwide help create your career journey! At Nationwide, "on your side" goes beyond just words. Our customers are at the center of everything we do and we're looking for associates who are passionate about delivering extraordinary care.

About the Role: As a Predictive Modeler on our Commercial Modeling team, you will play a crucial role in developing and maintaining predictive models that drive our commercial pricing strategies. This position offers a unique blend of data science and actuarial responsibilities, providing an exciting opportunity to work on innovative projects and collaborate with a diverse team of professionals.

Key Responsibilities:

  • Model Development: Engage in both new model builds and enhancements of existing models, ensuring they meet business needs and industry standards.

  • Technical Expertise: Utilize your coding skills in R, Python, or SQL to develop and maintain complex quantitative models.

  • Collaboration: Work closely with team members and business partners across the finance organization to develop creative solutions to business problems.

  • Risk Management: Implement financial engineering, data science, and statistical techniques for risk management and business applications.

Ideal Candidate Profile:

  • Technical Proficiency: Strong coding skills in R, Python, or SQL, with a solid understanding of data science techniques and actuarial concepts.

  • Analytical Skills: Excellent analytical and problem-solving abilities, with experience in financial risk modeling or actuarial functions.

  • Educational Background: Undergraduate studies in finance, accounting, economics, statistics, mathematics, or related fields. Graduate-level studies and progress toward actuarial certifications (e.g., ACAS, FCAS) are preferred.

  • Collaborative Spirit: Ability to work effectively in a team setting, with strong written and verbal communication skills.

  • Adaptability: Willingness to learn and adapt quickly, with a proactive approach to continuous improvement.

Work Arrangements: We prefer candidates based in Columbus, OH, Des Moines, IA or Scottsdale, AZ. This role may also be staffed fully remote. This role will be staffed at the G5 internal pay band.

#LI-SM1

#LI-remote

Job Description Summary

Do you have the desire to analyze data and perform groundbreaking research to drive business outcomes? Nationwide has been using data to serve our members and drive business outcomes for almost 100 years. Our industry-leading workforce adopts an agile work environment and a collaborative culture to deliver outstanding solutions and results. Our Risk Analytics Researchers play a key role in harnessing the power of data to deliver business results. Specifically, they are responsible for modeling sophisticated problems, discovering insights and identifying business opportunities from data using a variety of techniques from mathematics, actuarial studies, statistics, data science and financial engineering.
As a Consultant, you'll work on projects associated with the design, development, and application of unique risk models. You'll need a basic understanding of broad business objectives and will work with business partners across the finance organization to develop solutions to pressing business needs. We'll count on you to be a subject matter authority in Nationwide's risks. It's imperative that you are fully proficient with basic and sophisticated mathematical, statistical and analytical techniques associated with risk modeling.

Job Description

Key Responsibilities:

  • Researches and implements financial engineering, data science and statistical techniques for risk management and business applications.

  • Completes regular testing of risk limits to provide distinct management guidance on asset allocation, risk transfer and product growth decisions.

  • Owns complex quantitative modeling processes and philosophies. Identifies industry standards to understand if models are working as intended.

  • Collaborates to ensure that consistent model assumptions, processes and outputs are well understood and that modeling standard methodologies are upheld.

  • Reviews and analyzes model output to identify model limitations and their impact. Provides corrective quantitative methods.

  • Crafts and updates model documentation for business continuity purposes.

  • Collaborates to develop creative solutions to business problems.

  • Acts as the technology owner for Risk Analytics.

May perform other responsibilities as assigned.

Reporting Relationships: Reports to Risk/Actuarial leader.

Typical Skills and Experiences:

Education: Undergraduate studies in finance, accounting, economics, statistics, mathematics or related subject area required. Graduate-level studies in a related field with advanced degree highly desirable.

License/Certification/Designation: Progress toward FCAS, FSA, CQF, CFA or similar preferred.

Experience: Typically, five or more years of related work experience in financial risk modeling or actuarial functions.

Knowledge, Abilities and Skills: Working knowledge of machine learning, stochastic processes, Monte Carlo simulations, sampling methods and other statistical techniques applicable to specialized risk modeling. Prefer mathematical knowledge of specialized risk models such as those used in hedging, economic scenario generation, catastrophe, credit risk, etc. Solid understanding of risk management operations such as asset-liability management, portfolio risk assessment, hedging, etc. Proficient written and verbal communication skills. Intermediate proficiency with Excel and common statistical software such as R, SAS, Python, or MATLAB.

Other criteria, including leadership skills, competencies and experiences may take precedence.

Staffing exceptions to the above must be approved by the hiring manager's leader and Human Resources Business Partner.

Values: Regularly and consistently demonstrates Nationwide Values.

Job Conditions:

Overtime Eligibility: Not Eligible (Exempt)

Working Conditions: Normal office environment.

ADA: The above statements cover what are generally believed to be principal and essential functions of this job. Specific circumstances may allow or require some people assigned to the job to perform a somewhat different combination of duties.

We currently anticipate accepting applications until 06/22/2026. However, we encourage early submissions, as the posting may close sooner if a strong candidate slate is identified before the deadline.

Benefits

We have an array of benefits to fit your needs, including: medical/dental/vision, life insurance, short and long term disability coverage,paid time off with newly hired associates receiving a minimum of 18 days paid time off each full calendar year pro-rated quarterly based on hire date, nine paid holidays, 8 hours of Lifetime paid time off, 8 hours of Unity Day paid time off, 401(k) with company match, company-paid pension plan, business casual attire, and more. To learn more about the benefits we offer, click here.

Nationwide is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive culture where everyone feels challenged, appreciated, respected and engaged. Nationwide prohibits discrimination and harassment and affords equal employment opportunities to employees and applicants without regard to any characteristic (or classification) protected by applicable law.

This position could be filled within any of the lower 48 U.S. states.Smoke-Free Iowa Statement: Nationwide Mutual Insurance Company, its affiliates and subsidiaries comply with the Iowa Smokefree Air Act. Smoking is prohibited in all enclosed areas on or around company premises as well as company issued vehicles. The company offers designated smoking areas in which smoking is permitted at each individual location. The Act prohibits retaliation for reporting complaints or violations. For more information on the Iowa Smokefree Air Act, individuals may contact the Smokefree Air Act Helpline at 888-944-2247.
For NY residents please review the following state law information: Notice of Employee Rights, Protections, and Obligations LS740 (ny.gov) https://dol.ny.gov/system/files/documents/2022/02/ls740_1.pdf

NOTE TO EMPLOYMENT AGENCIES:

We value the partnerships we have built with our preferred vendors. Nationwide does not accept unsolicited resumes from employment agencies. All resumes submitted by employment agencies directly to any Nationwide employee or hiring manager in any form without a signed Nationwide Client Services Agreement on file and search engagement for that position will be deemed unsolicited in nature. No fee will be paid in the event the candidate is subsequently hired as a result of the referral or through other means.

Nationwide pays on a geographic-specific salary structure and placement within the actual starting salary range for this position will be determined by a number of factors including the skills, education, training, credentials and experience of the candidate; the scope, complexity and location of the role as well as the cost of labor in the market; and other conditions of employment. If a Sales job, Sales Incentives, based on performance goals are possible in addition to this range. Note on Compensation for Part-Time Roles: Please be aware that the salary ranges listed below reflect full-time compensation. Actual compensation may be prorated based on the number of hours worked relative to a full-time schedule.The national salary range for Consultant, Risk Analytics Researcher : $118,000.00-$222,000.00The expected starting salary range for Consultant, Risk Analytics Researcher : $118,000.00 - $178,000.00