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Trainee Fintech Data Scientist Jobs in Boca Raton, FL

Data Engineer I

Plantation, FL · On-site

$113K - $136K/yr

Through our comprehensive suite of innovative supplemental benefits, fintech payment platforms, and ... Required Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering ...

Data Engineer I

Plantation, FL · On-site

$113K - $136K/yr

Through our comprehensive suite of innovative supplemental benefits, fintech payment platforms, and ... Required Qualifications • Bachelor's degree in Computer Science, Information Technology ...

Data Engineer I

Plantation, FL · On-site

$113K - $136K/yr

Through our comprehensive suite of innovative supplemental benefits, fintech payment platforms, and ... Required Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering ...

Through our comprehensive suite of innovative supplemental benefits, fintech payment platforms, and ... Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.

Through our comprehensive suite of innovative supplemental benefits, fintech payment platforms, and ... Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.

Through our comprehensive suite of innovative supplemental benefits, fintech payment platforms, and ... Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.

We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way ... Bachelor's degree in computer science, Data Science, Artificial Intelligence, Machine Learning, or ...

Senior Data Engineer ID75059

Fort Lauderdale, FL · On-site +1

$101K - $137K/yr

... science/engineering or other technical field, or equivalent experience; - 5+ years of experience ... NICE TO HAVES - Familiarity with the fintech industry, understanding of financial data, regulatory ...

Senior Data Engineer ID75059

Boca Raton, FL · On-site +1

$100K - $136K/yr

... science/engineering or other technical field, or equivalent experience; - 5+ years of experience ... NICE TO HAVES - Familiarity with the fintech industry, understanding of financial data, regulatory ...

Senior Data Engineer ID75059

West Palm Beach, FL · On-site

$102K - $139K/yr

... science/engineering or other technical field, or equivalent experience; - 5+ years of experience ... NICE TO HAVES - Familiarity with the fintech industry, understanding of financial data, regulatory ...

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Showing results 1-20

Trainee Fintech Data Scientist information

See Boca Raton, FL salary details

$35.6K

$116.5K

$186.5K

How much do trainee fintech data scientist jobs pay per year?

As of Aug 10, 2026, the average yearly pay for trainee fintech data scientist in Boca Raton, FL is $116,475.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,500.00 and $129,100.00 per year, depending on experience, location, and employer.

What kinds of projects and collaborations can a trainee fintech data scientist expect to be involved in during their first year?

As a Trainee Fintech Data Scientist, you'll typically work on real-world data projects such as analyzing transaction patterns, detecting fraud, or building predictive models for credit scoring. You'll collaborate closely with experienced data scientists, software engineers, and business analysts, often participating in agile teams and cross-functional meetings. It's common to have mentorship opportunities and structured training sessions to help you ramp up on both technical skills and domain knowledge. Over time, you'll gain experience presenting your findings to both technical and non-technical stakeholders, which is key for career growth in fintech.

What are the key skills and qualifications needed to thrive as a trainee fintech data scientist, and why are they important?

To thrive as a Trainee Fintech Data Scientist, you need a solid grounding in statistics, data analysis, and programming (often with Python or R), typically supported by an academic background in a quantitative field. Familiarity with data visualization tools, SQL databases, and introductory machine learning libraries is highly beneficial, as is exposure to fintech platforms or certifications like Data Science or Fintech Foundations. Strong analytical thinking, attention to detail, and effective communication skills help you interpret data insights and collaborate with cross-functional teams. These competencies are crucial for extracting meaningful value from complex financial data and driving innovation in a rapidly evolving fintech landscape.

What is a trainee fintech data scientist?

A Trainee Fintech Data Scientist is an entry-level professional who works with financial technology (fintech) companies to analyze and interpret complex financial data. This role involves learning to use data science tools and techniques such as machine learning, programming, and statistical analysis to solve business problems in areas like risk assessment, fraud detection, and customer insights. Trainees typically work under the supervision of experienced data scientists to gain hands-on experience and develop their technical and domain expertise in the fintech sector.

What is the difference between Trainee Fintech Data Scientist vs Junior Data Analyst?

AspectTrainee Fintech Data ScientistJunior Data Analyst
Required CredentialsTypically a degree in data science, computer science, or related field; some certifications beneficialOften a degree in statistics, mathematics, or related field; certifications are optional
Work EnvironmentFintech companies, startups, or financial institutions; focus on developing models and algorithmsVarious industries including finance, retail, or healthcare; focus on data reporting and analysis
Employer & Industry UsageCommonly used in fintech for developing predictive models and algorithmsUsed across industries for data reporting, visualization, and basic analysis

The Trainee Fintech Data Scientist focuses on developing advanced models and algorithms within the fintech industry, often requiring programming skills and statistical knowledge. In contrast, a Junior Data Analyst primarily handles data reporting and visualization tasks. While both roles require a background in data-related fields, the trainee data scientist role emphasizes machine learning and model development, making it more technical and specialized.

What are popular job titles related to Trainee Fintech Data Scientist jobs in Boca Raton, FL? For Trainee Fintech Data Scientist jobs in Boca Raton, FL, the most frequently searched job titles are:
What job categories do people searching Trainee Fintech Data Scientist jobs in Boca Raton, FL look for? The top searched job categories for Trainee Fintech Data Scientist jobs in Boca Raton, FL are:
What cities near Boca Raton, FL are hiring for Trainee Fintech Data Scientist jobs? Cities near Boca Raton, FL with the most Trainee Fintech Data Scientist job openings:

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago


Florida Atlantic University rating

6.6

Company rating: 6.6 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

498th of 617 rated colleges and universities


Job description

Apply now to join FAU, where tomorrow begins.


For more information on everything FAU has to offer, please visit www.fau.edu/jobs.


Note: Current FAU employees must apply as an internal applicant by logging into their existing Workday employee account.

Position Summary:

The College of Medicine at Florida Atlantic University is seeking a Biostatistician/Data Scientist in Boca Raton, FL.

This role supports the Department of Population Health's community-engaged research portfolio by collaborating with faculty and communities to support data analysis, supervision of data staff, analysis planning and implementation in biostatistics, epidemiology, and data science, and consultation and collaboration with faculty and trainees around statistical implementation.

This position offers the opportunity to contribute to high-impact biomedical, translational, clinical, social-behavioral, and public health research that has direct impact on health, across a diverse portfolio of studies while working closely with investigators, statisticians, programmers, and interdisciplinary collaborators.

This role is ideal for candidates who are intellectually curious, sincerely collaborative, detail-oriented, and eager to grow their expertise in modern statistical methods within a dynamic academic medical and health science research environment.

Summary of Responsibilities:

  • Prepare and format datasets for analysis across a variety of biomedical, translational, clinical, social-behavioral, and population health research projects.

  • Maintain and curate project databases in collaboration with team members.

  • Develop statistical analysis plans (SAP) and independently perform statistical analyses at all levels.

  • Write codes (e.g., R, SAS) to design analytic datasets, validate outputs, identify errors, and ensure data integrity.

  • Perform advanced programming tasks such as data transposition and macro development.

  • Learn and apply new statistical methodologies as project needs evolve.

  • Document analytic processes and generate clear summaries of findings for investigators and collaborators. Present results in written and verbal formats to a variety of audiences and collaborators.

  • Contribute to manuscript and grant development, including drafting statistical methods sections with guidance from senior statisticians. Contribute to authoring statistical and methods sections of grants and publications.

  • Participate in project meetings, provide analytic insight, and help identify next steps for ongoing work.

  • Collaborate effectively with programmers, statisticians, and investigators to ensure accurate and unbiased interpretation of results.

  • Develop project timelines, forecast analytic effort, and manage responsibilities across multiple concurrent studies.

  • Ensure compliance with institutional standards, statistical best practices, and sponsor guidelines for data sharing (e.g., NIH).

  • Handle confidential research data with the highest level of professionalism and security.

  • Develop and manage study tools and workflows (e.g., recruitment plans, participant tracking, field protocols, interview/focus group guides, survey distribution plans).

  • Support onboarding and coordination of students/trainees on projects (as assigned), including task supervision and training on project protocols.

  • Maintain accurate project records and ensure compliance with sponsor requirements (progress reporting, documentation, record retention, data sharing).

FAU Benefits and Perks

If Benefits & Perks are important to you, then FAU is the place to be! Working at FAU has itsperks! In addition to helping drive change and having a positive impact by supporting our students, staff, and faculty, FAU offers:

  • Excellent benefit packages including Medical (PPO/HMO $50 per month single & $180 per month family), Dental, Vision, Life Insurance, Flexible Spending plans, Employee Assistance Program (EAP) and much more.

  • State retirement options including tax-deferred annuities and Roth 403(b) plans.

  • State employeesPublic Service Loan Forgiveness (PSLF)program.

  • Sick Leave Pool Program.

  • Paid time off (eligible employees) including vacation and sick leave, 1 personal day, 9 paid holidays, and paid winter break (atPresident'sdiscretion).

  • Paid Community Engagement Volunteer Service Day

  • Employee Educational Scholarship Program (EESP) for eligible Staff/Faculty - Tuitionassistanceafter 6 months of full-time employment. For in-unit faculty, the EESP program may be extended to spouses and dependent children (eligibility rules apply).

For details on FAU's amazing offers visit us athttps://www.fau.edu/hr/benefits/index.php

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Minimum Qualifications:

Master's degree from an accredited institution in an appropriate area of specialization; or a bachelor's degree from an accredited institution in an appropriate area of specialization and two years of appropriate experience required.
Areas of specialization: biostatistics, epidemiology, bioinformatics, computational biology or a related quantitative field.
Demonstrated experience conducting complex analyses in biostatistics, epidemiology, and data science required.
Strong project management skills, including coordinating multiple priorities, meeting deadlines, and documenting progress required.
Excellent interpersonal and communication skills, with the ability to build trust with various community stakeholders required.
Proficiency with standard office and collaboration tools (e.g., Microsoft Office, Teams/Zoom, shared file systems) required.
Experience with compliance regulations including IACUC, IRB, and biosafety protocols required.
Preferred Qualifications:
Working knowledge of research ethics and human subjects protections; experience supporting IRB processes.

Salary:

$60,000 - $70,000 annually.

College or Department:

COM: Population Health

Location:

Boca Raton

Work Days and Hours:

Monday - Friday, 8 a.m. - 5 p.m.

Application Deadline:

2026-08-11

Special Instructions to Applicant:

This recruitment has been reopened; all previous applicants are still under consideration and need not reapply. This position may close without prior notice.
This is a research or research-related support position. As required by Florida Statutes Section 1010.35, a Foreign Influence Screening may be required.
APPLICATION DOCUMENTS REQUIRED:
Resume
Cover letter
OFFICIAL SEALED TRANSCRIPTS REQUIRED:
Final candidate will be required to have official, sealed transcripts and original NACES evaluation, if applicable, sent from their educational institution to Human Resources prior to the start of employment.
PRE-EMPLOYMENT SCREENINGS REQUIRED:
Selected candidates must successfully complete and pass all employment screenings prior to the start of employment. Employment screenings may include a criminal background check (level I and level II), motor vehicle check, credit check, reference checks, alcohol, and drug screening check.
REQUEST FOR ACCOMMODATIONS:
Individuals with disabilities requiring accommodations may contact the Office of Civil Rights and Title IX at 561-297-3004 or send an email at accommodate@fau.edu. To contact Human Resources, please call 561-297-3057. For communication assistance call 7-1-1.

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