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Data Science Apprenticeship 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 ...

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Data Science Apprenticeship information

See Florida salary details

$17.5K

$84.8K

$162.1K

How much do data science apprenticeship jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data science apprenticeship in Florida is $84,755.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,838.00 and $122,675.00 per year, depending on experience, location, and employer.

What do data science apprentices do?

Data Science Apprentices usually assist with collecting, cleaning, and analyzing data to help teams solve business problems. They may support the development and testing of machine learning models, create data visualizations, and help prepare reports that communicate insights to both technical and non-technical stakeholders. Apprentices often collaborate closely with experienced data scientists and engineers, gaining exposure to real-world workflows and industry practices. This hands-on experience not only builds technical skills but also helps apprentices understand how data science contributes to strategic decision-making within organizations.

What skills and qualifications are needed for a data science apprenticeship?

To thrive as a Data Science Apprentice, you need a solid understanding of statistics, programming (commonly in Python or R), and data analysis, often supported by a relevant degree or coursework in a quantitative field. Familiarity with tools like SQL, Jupyter Notebooks, and data visualization software, as well as knowledge of frameworks like scikit-learn or TensorFlow, is highly beneficial. Strong problem-solving abilities, eagerness to learn, and effective communication skills help apprentices excel and integrate into data-driven teams. These skills are essential for tackling real-world data challenges, contributing to projects, and building a successful foundation for a future career in data science.

What is a data science apprenticeship?

A Data Science Apprenticeship is a structured, hands-on training program that allows aspiring data scientists to gain practical experience while working under the guidance of experienced professionals. Apprentices learn key skills such as data analysis, machine learning, and statistical modeling through real-world projects. These programs often combine coursework with on-the-job training, making them an excellent pathway for individuals transitioning into data science or looking to gain industry experience.

What are the most commonly searched types of Data Science Apprenticeship jobs in Florida? The most popular types of Data Science Apprenticeship jobs in Florida are:
What are popular job titles related to Data Science Apprenticeship jobs in Florida? For Data Science Apprenticeship jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Data Science Apprenticeship jobs in Florida look for? The top searched job categories for Data Science Apprenticeship jobs in Florida are:
Data Science Apprenticeship jobs near you
Infographic showing various Data Science Apprenticeship 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 $84,755 per year, or $40.7 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.
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