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Data Scientist Trainee Jobs in Arizona (NOW HIRING)

Through our unparalleled science, data, technology and laboratory network, we advance diagnostics ... Labcorp is seeking a Technologist Trainee join our team in Phoenix, AZ. Work Schedule: Tuesday ...

Underwriting Trainee

Scottsdale, AZ · On-site

$65K - $75K/yr

Strong analytical and problem-solving skills, with the ability to interpret data and apply sound ... economics, actuarial science, or related fields. * Required: Proficiency with Microsoft ...

Through our unparalleled science, data, technology and laboratory network, we advance diagnostics ... Labcorp is seeking a Technologist Trainee join our team in Phoenix, AZ. Work Schedule: Wednesday ...

Through our unparalleled science, data, technology and laboratory network, we advance diagnostics ... Labcorp is seeking a Technologist Trainee join our team in Phoenix, AZ. Work Schedule: Wednesday ...

Through our unparalleled science, data, technology and laboratory network, we advance diagnostics ... Labcorp is seeking a Technologist Trainee join our team in Phoenix, AZ. Work Schedule: Wednesday ...

Through our unparalleled science, data, technology and laboratory network, we advance diagnostics ... Labcorp is seeking a Technologist Trainee join our team in Phoenix, AZ. Work Schedule: Wednesday ...

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Data Scientist Trainee information

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 Arizona?

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

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

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

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

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

Infographic showing various Data Scientist Trainee job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, 2% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Graduate Trainee - Phoenix, AZ - Onsite

Phoenix, AZ • On-site

NucleusTeq
IT Services • 201 - 500 employees

Full-time

Re-posted 25 days ago


Job description

Job Summary:
NucleusTeq is a global leader in software services, specializing in Generative AI, Machine Learning, Data Modernization, Cloud Computing, and Enterprise Automation. They are seeking a Graduate Trainee to support various projects across domains, including data analytics, AI, and automation, while gaining hands-on experience in cutting-edge technologies.
Responsibilities:
• analyzing data
• assisting in the development of scalable solutions
• conducting research
• contributing to project planning and execution
Qualifications:
Required:
• Basic understanding of Data Analysis, Agentic AI, Machine Learning, and Cloud Computing concepts
• Good programming skills in Python, Java, or related programming languages
• Effective communication and collaboration abilities to work in a team environment
• Strong problem-solving skills with an aptitude for learning new technologies
• Proficiency with tools and environments such as SQL.
• Bachelor’s degree in Computer Science, Data Science, Information Technology, or a related technical field from Ivy League or Tier 1 Schools.
• Adaptability, critical thinking, and effective time management capabilities
Preferred:
• Previous internship or academic project experience in AI, Machine Learning, or Data Engineering is a plus
Company:
NucleusTeq is empower & Transform customers’ business through the use of digital technologies. Founded in 2015, the company is headquartered in Phoenix, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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About Nucleusteq

Sourced by ZipRecruiter

NucleusTeq is a software services, solutions & products company empowering & transforming customers’ business through the use of digital technologies such as Big-Data, Analytics, Cloud, Enterprise Automation, Block-chain, Mobility etc. We are enabling several fortune 1000 clients in the USA, Canada, UK & India to navigate their digital transformation. Our mission is to empower & transform customers’ business through the use of digital technologies such as Big-Data, Analytics (AI, ML), Cloud, Enterprise Automation, Block-chain, Mobility, CRM & ERP. We are committed to enriching our colleagues and communities equally.

Industry

It services

Company size

201 - 500 Employees

Headquarters location

Phoenix, AZ, US

Year founded

2018

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