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Data Scientist Trainee Jobs in Florida (NOW HIRING)

Actalent

Entry Level Recruiter/Sales Trainee

Tampa, FL · On-site

$45K - $65K/yr

Building trusted relationships with our network of engineering and sciences consultants under our ... data) * Performance-based incentives * Quarterly bonuses * All-expenses-paid annual trip for top ...

UAB

RESEARCHER SENIOR

Tampa, FL · On-site

$60K/yr

... with faculty, trainees, and multidisciplinary research teams to advance ongoing research ... Analyzes complex research data and interprets findings using advanced scientific methods. Prepares ...

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All JobsData Scientist JobsData Scientist Trainee JobsData Scientist Trainee Jobs in Florida

Data Scientist Trainee information

See Florida salary details

$28K

$91.7K

$146.8K

How much do data scientist trainee jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data scientist trainee in Florida is $91,721.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,600.00 and $101,600.00 per year, depending on experience, location, and employer.

What is a data scientist trainee?

A Data Scientist Trainee is an entry-level role designed for individuals looking to gain hands-on experience in data science. Trainees typically work under the guidance of senior data scientists, assisting with data collection, cleaning, analysis, and model development. They may use programming languages like Python or R, as well as tools like SQL and machine learning frameworks. This role helps build foundational knowledge in data science principles, statistical analysis, and data visualization. It is ideal for recent graduates or career switchers who want to develop practical skills before transitioning into a full-time data science role.

What are the typical responsibilities of a data scientist trainee?

As a Data Scientist Trainee, you will often assist with cleaning and organizing large datasets, performing exploratory data analysis, and developing basic predictive models under the guidance of more experienced team members. You may also help create data visualizations, build dashboards, or automate simple data processing tasks. Collaboration is key, as you’ll regularly work with senior data scientists, business analysts, and sometimes cross-functional teams to support ongoing projects and learn industry best practices. This role provides a valuable hands-on foundation, helping you build the technical and analytical skills necessary for future advancement in the field.

What are the key skills and qualifications needed to thrive as a data scientist trainee?

To thrive as a Data Scientist Trainee, you need a solid understanding of statistics, data analysis, and programming (preferably in Python or R), often supported by a degree in a quantitative field. Familiarity with tools like SQL, Jupyter notebooks, data visualization libraries, and entry-level certifications such as IBM Data Science Professional Certificate can be highly beneficial. Attention to detail, problem-solving ability, and a willingness to learn and collaborate help distinguish strong candidates in this role. These qualifications and competencies enable trainees to effectively support data projects, extract meaningful insights, and smoothly develop into more advanced data science positions.

Can I get a data scientist trainee job with no experience?

Data scientist trainee positions often target candidates with limited experience and focus on training and skill development. Having foundational knowledge in programming, statistics, and data analysis tools like Python or R can improve your chances, but some companies offer entry-level programs for beginners. Demonstrating a strong interest in data science through coursework, projects, or certifications can also be beneficial.

How to start a career in data scientist trainee with no experience?

To start a career as a data scientist trainee with no experience, focus on building foundational skills in programming (Python or R), statistics, and data analysis through online courses and tutorials. Gaining hands-on experience with projects, participating in competitions like Kaggle, and learning tools such as SQL and machine learning frameworks can improve your prospects; obtaining relevant certifications can also enhance your resume.

What does a data scientist trainee do?

A data scientist trainee assists in analyzing data, developing models, and interpreting results under the supervision of experienced data scientists. They often learn programming languages like Python or R, work with data visualization tools, and gain practical experience in data cleaning, statistical analysis, and machine learning techniques.

What are the most commonly searched types of Data Scientist jobs in Florida?

The most popular types of Data Scientist jobs in Florida are:

What are popular job titles related to Data Scientist Trainee jobs in Florida?

For Data Scientist Trainee jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Data Scientist Trainee jobs in Florida look for?

The top searched job categories for Data Scientist Trainee jobs in Florida are:

What cities in Florida are hiring for Data Scientist Trainee jobs?

Cities in Florida with the most Data Scientist Trainee job openings:

Data Scientist Trainee jobs near you
Infographic showing various Data Scientist Trainee job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $91,721 per year, or $44.1 per hour.

Market Information and Data Analytics (MIDA) - Data Quality - Intern - Summer 2027

PRICEWATERHOUSECOOPERS CORPORATE FINANCE LLC

Tampa, FL • On-site

$29.25 - $48/hr

Full-time

Posted 2 days ago

New

Job description

Industry/Sector

Not Applicable

Specialism

Data Quality Assurance

Management Level

Intern/Trainee

Job Description & Summary

The Opportunity
As an AIT MIDA Data Quality - Intern, you will engage in projects that enhance the accuracy, completeness, and reliability of data, enabling businesses to trust their data for decision-making and reporting purposes. Within our Assurance practice, you will gain exposure to PwC's methodologies and support teams by performing basic tasks and conducting research. This role emphasizes learning and gaining exposure to professional work environments, where you will observe and contribute to the team's success.
As an Intern, you will focus on learning and gaining exposure to PwC's practices. You will support teams with basic tasks, participate in projects, and conduct research while observing professional work environments. This role encourages you to apply a learning mindset, appreciate diverse perspectives, and actively listen and communicate effectively. You will have the opportunity to gather information from various sources to analyze facts and discern patterns, contributing to your development and understanding of the business.
In this role, you will be part of a dynamic environment where each assignment presents unique challenges and opportunities for growth. You are encouraged to ask questions, take initiative, and produce quality work that adds value for clients and contributes to the team's success.
Responsibilities
- Supporting teams in data quality assurance tasks to enhance data accuracy and reliability
- Participating in data error checking processes to identify and correct inconsistencies
- Assisting in the development and implementation of data management plans to maintain data integrity
- Engaging in data profiling activities to gather informative summaries and statistics
- Collaborating with team members to manage independence processes and deliver data analytics for audit compliance
- Observing and learning from experienced professionals to gain exposure to PwC's practices and methodologies
- Contributing to the creation of data quality improvement plans to strengthen data management processes
- Applying a learning mindset to develop skills in data quality assurance and management
What You Must Have
- Currently pursuing or have completed a Bachelor's degree
- At least a 3.0 overall GPA
- Client service intern positions are considered entry-level roles. Candidates are typically in their third year of a four-year degree program or fourth year of a five-year program at the time of application
What Sets You Apart
- Preference for at least one of the following fields of study: Data Analytics and Statistics, Data Processing/Analytics/Science, Finance, Management Information Systems
- Preference for a 3.5 overall GPA
- Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes
- Demonstrating proficiency in data error checking and integrity
- Participating in data quality assurance testing processes
- Supporting data management and quality improvement initiatives
- Engaging in active listening and communication within teams

Travel Requirements

Up to 20%

Job Posting End Date

September 26, 2026The salary range for this position is: $29.25 - $48.00. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws.As PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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