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Trainee Data Science Jobs in Arizona (NOW HIRING)

Bachelor's degree in a Chemical or Biological Science, Clinical Laboratory Science, or Medical ... Formore information about how we collect and store your personal data, please see ourPrivacy ...

Bachelor's degree in a Chemical or Biological Science, Clinical Laboratory Science, or Medical ... For more information about how we collect and store your personal data, please see our Privacy ...

Bachelor's degree in a Chemical or Biological Science, Clinical Laboratory Science, or Medical ... For more information about how we collect and store your personal data, please see our Privacy ...

Regularly meet with laboratory trainees. * Set SOPs for the laboratory. Knowledge, Skills ... Ability to develop scientific hypotheses, experimental design, and data analysis * Ability to write ...

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Trainee Data Science information

See Arizona salary details

$34.9K

$114.4K

$183.1K

How much do trainee data science jobs pay per year?

As of May 28, 2026, the average yearly pay for trainee data science in Arizona is $114,378.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,800.00 and $126,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Trainee Data Scientist, and why are they important?

To thrive as a Trainee Data Scientist, you need a foundational understanding of statistics, programming (often Python or R), and data analysis, usually supported by a relevant degree or coursework in mathematics, computer science, or engineering. Familiarity with data visualization tools (such as Tableau or Power BI), machine learning libraries (like scikit-learn or TensorFlow), and basic database systems is often expected. Strong problem-solving skills, curiosity, and effective communication help you interpret data insights and collaborate with team members. These skills are crucial for extracting actionable insights from data and contributing meaningfully to data-driven projects.

What are some common challenges faced by Trainee Data Scientists during their initial projects, and how can they overcome them?

Trainee Data Scientists often encounter challenges such as working with messy or incomplete datasets, understanding complex business problems, and selecting the appropriate modeling techniques. Collaborating closely with experienced team members and seeking feedback can help trainees navigate these obstacles. Additionally, actively participating in code reviews and knowledge-sharing sessions accelerates learning and builds confidence in tackling real-world data science tasks.

What does a Trainee Data Scientist do?

A Trainee Data Scientist assists in gathering, cleaning, and analyzing data to support business decisions. They work under the guidance of senior data scientists to learn about data modeling, statistical analysis, and using tools such as Python, R, or SQL. Their responsibilities often include preparing reports, visualizing data, and contributing to the development of predictive models. The goal is to build foundational skills and gain hands-on experience in the field of data science.

What is the difference between Trainee Data Science vs Data Analyst?

AspectTrainee Data ScienceData Analyst
Required CredentialsBasic degree in related field, entry-level certificationsDegree in statistics, mathematics, or related field, often with certifications
Work EnvironmentInternship or entry-level role in tech or finance companiesBusiness, finance, marketing departments across industries
Employer & Industry UsageStart of data career path, training-focused rolesData-driven decision making, reporting, and analysis

In summary, a Trainee Data Science role is an entry-level position focused on learning and developing skills in data science, often as part of an internship or training program. A Data Analyst typically has more experience in analyzing data, creating reports, and supporting business decisions. Both roles are essential in data-driven industries but differ mainly in experience level and scope of responsibilities.

What are the most commonly searched types of Data Science jobs in Arizona? The most popular types of Data Science jobs in Arizona are:
What cities in Arizona are hiring for Trainee Data Science jobs? Cities in Arizona with the most Trainee Data Science job openings:
Graduate Trainee - Phoenix, AZ - Onsite

Graduate Trainee - Phoenix, AZ - Onsite

NucleusTeq

Phoenix, AZ

Full-time

Posted 20 days ago


Job description

Role : Graduate Trainee
Location : Phoenix, AZ (Onsite)

Company Description

NucleusTeq is a global leader in software services, specializing in Generative AI, Machine Learning, Data Modernization, Cloud Computing, and Enterprise Automation. Headquartered in Phoenix, Arizona, the company empowers Fortune 100 enterprises with innovative, AI-driven solutions, scalable architectures, and comprehensive data transformation services. Leveraging its proprietary platform, NuoData, NucleusTeq delivers cutting-edge capabilities in data governance, real-time analytics, and enterprise AI/ML frameworks. With advanced automation, scalable cloud solutions, and robust security integrations, NucleusTeq drives digital transformation for businesses worldwide. Please have a look at NucleusTeq Website and its product. We are Phoenix based company with offshore center in Indore, Raipur & Bhilai and people are working from various parts of India likewise Delhi-NCR, Pune, Bengaluru & Hyderabad etc.

  • Website: https://nucleusteq.com/
  • LinkedIn: https://www.linkedin.com/company/nucleusteq/posts/?feedView=all
  • Product: Fyndr - https://fyndr.us/
  • LinkedIn: https://www.linkedin.com/company/fyndr-us/posts/?feedView=all


Role Description

This is a full-time on-site role for a Graduate Trainee based in Phoenix AZ. As a Graduate Trainee, you will be involved in supporting various projects across domains, including data analytics, AI, and automation. Your day-to-day activities will include analyzing data, assisting in the development of scalable solutions, conducting research, and contributing to project planning and execution. This role offers a dynamic work environment to build foundational skills and gain hands-on experience in cutting-edge technologies.

Qualifications

  • 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.
  • Previous internship or academic project experience in AI, Machine Learning, or Data Engineering is a plus
  • Adaptability, critical thinking, and effective time management capabilities
Employment Type: FULL_TIME

Nucleusteq logo

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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