ZipRecruiter

Log In

1

Data Scientist Apprentice Jobs in Florida (NOW HIRING)

Intermex Wire Transfer

Director of Pricing

Miami, FL · On-site

Bachelor's degree, or equivalent, in statistics, data science, finance, accounting, business, or ... and apprenticeship. Intermex Wire Transfer LLC. makes hiring decisions based solely on ...

next page

Showing results 1-20

All JobsData Scientist Apprentice JobsData Scientist Apprentice Jobs in Florida

Data Scientist Apprentice information

See Florida salary details

$34.4K

$123.3K

$182K

How much do data scientist apprentice jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data scientist apprentice in Florida is $123,317.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,800.00 and $127,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the data scientist apprentice position, and why are they important?

To thrive as a Data Scientist Apprentice, you should have a foundational understanding of statistics, programming (such as Python or R), and data analysis, often supported by a relevant degree or coursework. Familiarity with tools like SQL, Jupyter Notebooks, and data visualization software, as well as exposure to machine learning libraries, is highly beneficial. Strong analytical thinking, curiosity, and effective communication skills will help you learn quickly and contribute within a team. These competencies are crucial for extracting actionable insights from data and growing into more advanced data science roles.

What kinds of projects or tasks can I expect to work on as a data scientist apprentice?

As a Data Scientist Apprentice, you'll typically assist with tasks such as data cleaning, collecting and preparing datasets, generating visualizations, and supporting more senior data scientists in building and evaluating models. You may be involved in exploratory data analysis, writing scripts to automate repetitive tasks, and presenting your findings to team members. Collaboration with analysts, engineers, and business stakeholders is common, providing insight into how data-driven decisions are made. These projects will help you develop practical experience and prepare you for more advanced responsibilities as you progress in your data science career.

What is a data scientist apprentice?

A Data Scientist Apprentice is an entry-level role designed to provide hands-on experience in data analysis, machine learning, and statistical modeling under the guidance of experienced professionals. Apprentices typically assist with data cleaning, exploratory data analysis, and building predictive models while learning industry tools like Python, SQL, and data visualization libraries. This role helps develop practical skills in real-world projects, making it a great pathway into a full-time data science career.

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 Apprentice jobs in Florida? For Data Scientist Apprentice jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Data Scientist Apprentice jobs in Florida look for? The top searched job categories for Data Scientist Apprentice jobs in Florida are:
Data Scientist Apprentice jobs near you
Infographic showing various Data Scientist Apprentice job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $123,317 per year, or $59.3 per hour.

Data Scientist / DataOps Engineer

bit schulungscenter GmbH

Miami, FL • On-site

$140 - $210/hr

Other

Posted 5 days ago

Job description

We are Kmeleon, consulting firm based in Miami, USA, with a dynamic and diverse team spread across the Americas and Europe. We specialize in building cutting‑edge generative AI solutions, empowering forward‑thinking enterprises to stay ahead with the transformative power of AI.

What We’re Looking For:

We’re looking for a Data Scientist / DataOps Engineer with a strong background in cloud‑based data architectures, analytics, and MLOps. You will play a vital role in designing, implementing, and maintaining scalable data solutions across Azure (primarily), AWS, and GCP—powering everything from traditional data pipelines to advanced AI/ML models.

Important:
  • We are hiring for senior roles only.
  • English proficiency at a minimum 7/10 level (spoken and written).
  • 3+ years of professional experience (not apprenticeship).
About the Role:
  • Design and optimize data pipelines on Azure, AWS, and GCP, ensuring efficient ingestion, transformation, and storage of large‑scale datasets.
  • Develop and maintain DataOps workflows, integrating with CI/CD pipelines for end‑to‑end automation of data processes.
  • Build scalable ML/AI pipelines that support training, validation, and deployment of machine learning models in production environments.
  • Collaborate on analytics solutions, assisting in data modeling, statistical analysis, and advanced AI/ML experimentation.
  • Implement robust data security and governance strategies, ensuring compliance with industry standards and best practices.
  • Troubleshoot and optimize performance across various data systems, identifying areas for continuous improvement in our architecture.
What You Bring to the Table:
  • 3+ years of hands‑on experience in DataOps, Data Engineering, or Data Science roles, with a primary focus on Azure services (Azure Data Factory, Azure Synapse, etc.).
  • Working knowledge of AWS (e.g., Glue, Redshift, EMR) and GCP (e.g., BigQuery, Dataflow) is highly desirable.
  • Proficiency in Python for data analysis, ML model development, and scripting.
  • Experience with containerization and orchestration (Kubernetes or similar) to manage scalable data processing and model deployments.
  • A strong foundation in automation and CI/CD principles, particularly in the context of data pipelines.
  • Familiarity with infrastructure as code tools (Terraform, Biceps, ARM templates) to automate provisioning and manage resources.
  • Expertise in SQL and NoSQL databases, with hands‑on experience in designing data warehouses and data lakes.
  • It is a plus Experience with LLM/advanced AI/ML model deployment and tuning for production environments.
Why Join Us?
  • Be at the forefront of the AI revolution by joining a global team that pioneers cutting‑edge data and AI solutions.
  • Competitive compensation that rewards expertise and strong communication skills.
  • Remote‑friendly environment with flexible working hours that accommodate diverse lifestyles.
  • Massive growth potential in an AI‑first startup, offering opportunities to expand into leadership roles.
  • Collaborative culture that values innovation, open communication, and mutual respect—where your ideas and contributions truly matter.
#J-18808-Ljbffr

Apply