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Intern Data Scientist Apprentice Jobs in Florida

$49K/yr

As a Palace Acquire Intern you will experience both personal and professional growth while dealing ... Mathematics, statistics, computer science, data science or field directly related to the position.

The Data Intelligence Intern will support the Division of Analytics, Intelligence, and Reporting by ... Currently pursuing a degree in Data Analytics, Data Science, or a Technology related field.

Robotics Data Pipeline Intern - Multimodal Data About Us At Persona, we're building the next ... D. in Computer Science, Data Engineering, Machine Learning, Robotics, or a related field * Solid ...

Overview Intern, Plant Science LOCATION: Cape Canaveral, FL JOB STATUS: Full-time CLEARANCE: BI ... Experience with data collection and basic scientific research methods. Responsibilities * Assist ...

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

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Intern Data Scientist Apprentice information

What does an Intern Data Scientist Apprentice do?

An Intern Data Scientist Apprentice assists experienced data scientists in collecting, cleaning, and analyzing data to help organizations make informed decisions. They often work on tasks like data preprocessing, creating visualizations, and building simple models under supervision. This role is designed to provide hands-on experience with tools such as Python, SQL, and machine learning libraries. It's an entry-level position that helps individuals learn industry practices and gain practical skills for a future career in data science.

What types of projects and tasks can I expect as an Intern Data Scientist Apprentice?

As an Intern Data Scientist Apprentice, you will typically work on real-world data analysis projects under the guidance of experienced data scientists. Your tasks may include cleaning and organizing datasets, conducting exploratory data analysis, building and evaluating simple machine learning models, and presenting findings to your team. You'll also collaborate closely with software engineers, analysts, and business stakeholders, gaining exposure to the full data science workflow. This hands-on experience will help you develop practical skills and understand how data-driven solutions support business goals.

What are the key skills and qualifications needed to thrive as an Intern Data Scientist Apprentice, and why are they important?

To thrive as an Intern Data Scientist Apprentice, you need a solid understanding of statistics, programming (often Python or R), and foundational knowledge in machine learning, typically supported by coursework or relevant academic background. Familiarity with data analysis tools like Pandas, NumPy, and SQL, as well as experience using platforms such as Jupyter Notebook and Git, is highly beneficial. Strong problem-solving, curiosity, and the ability to communicate insights clearly are key soft skills that help you stand out. These skills and qualities are crucial for effectively analyzing data, collaborating with teams, and contributing valuable insights to real-world projects.
What job categories do people searching Intern Data Scientist Apprentice jobs in Florida look for? The top searched job categories for Intern Data Scientist Apprentice jobs in Florida are:
What cities in Florida are hiring for Intern Data Scientist Apprentice jobs? Cities in Florida with the most Intern Data Scientist Apprentice job openings:

$49K/yr

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Re-posted 25 days ago


Job description

The PALACE Acquire Program offers you a permanent position upon completion of your formal training plan. As a Palace Acquire Intern you will experience both personal and professional growth while dealing effectively and ethically with change, complexity, and problem solving. The program offers a 3-year formal training plan with yearly salary increases. Promotions and salary increases are based upon your successful performance and supervisory approval.Qualifications:BASIC REQUIREMENT OR INDIVIDUAL OCCUPATIONAL REQUIREMENT:
Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
You may qualify if you meet one of the following:
1. GS-7: You must have completed or will complete a 4-year course of study leading to a bachelor's from an accredited institution AND must have documented Superior Academic Achievement (SAA) at the undergraduate level in the following:
a) Grade Point Average 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum.
2. GS-9: You must have completed 2 years of progressively higher-level graduate education leading to a master's degree or equivalent graduate degree:
a) Grade Point Average - 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum. If more than 10 percent of total undergraduate credit hours are non-graded, i.e. pass/fail, CLEP, CCAF, DANTES, military credit, etc. you cannot qualify based on GPA.
KNOWLEDGE, SKILLS AND ABILITIES (KSAs): Your qualifications will be evaluated on the basis of your level of knowledge, skills, abilities and/or competencies in the following areas:
1. Professional knowledge of basic principles, concepts, and practices of data science to apply scientific methods and techniques to analyze systems, processes, and/or operational problems and procedures.
2. Knowledge of mathematics and analysis to perform minor phases of a larger assignment and prepare reports, documentation, and correspondence to communicate factual and procedural information clearly.
3. Skill in applying basic principles, concepts, and practices of the occupation sufficient to perform routine to difficult but well precedented assignments in data science analysis.
4. Ability to analyze, interpret, and apply data science rules and procedures in a variety of situations and recommend solutions to senior analysts.
5. Ability to analyze problems to identify significant factors, gather pertinent data, and recognize solutions.
6. Ability to plan and organize work and confer with co-workers effectively.
PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work. You must clearly identify the duties and responsibilities in each position held and the total number of hours per week.
VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done through National Service Programs (i.e., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student and social). Volunteer work helps build critical competencies, knowledge and skills that can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.Education:IF USING EDUCATION TO QUALIFY: If position has a positive degree requirement or education forms the basis for qualifications, you MUST submit transcriptswith the application. Official transcripts are not required at the time of application; however, if position has a positive degree requirement, qualifying based on education alone or in combination with experience, transcripts must be verified prior to appointment. An accrediting institution recognized by the U.S. Department of Education must accredit education. Click here to check accreditation.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying.Employment Type: OTHER