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Trainee Data Science Jobs (NOW HIRING)

Nature Careers

Data Science Faculty

Palo Alto, CA · On-site

... trainees. Provide clinical care in perioperative, pain, or critical care settings (for clinician ... Professor: $494,000 - $515,000 PhD Data Scientist: * Assistant Professor: $228,000 - $257,000

Learnkwik.com

Data Science Training

Portland, OR · On-site

We advise our trainees not to wait till the next class to seek answers to any technical issue ... We are offering online training on Data Science. . Provide OPT Stem Ext.: Guidance and support for ...

Learnkwik.com

Data Science Training

Portland, OR · On-site

We advise our trainees not to wait till the next class to seek answers to any technical issue. • ... on Data Science. . Provide OPT Stem Ext.: Guidance and support for applying for the 24-month OPT ...

Agap Technologies

Data Science Training

Baltimore, MD · On-site

We advise our trainees not to wait till the next class to seek answers to any technical issue. • ... on Data Science. . Provide OPT Stem Ext.: Guidance and support for applying for the 24-month OPT ...

Resourcex,Inc.

Data Science Training

Saint Paul, MN

We advise our trainees not to wait till the next class to seek answers to any technical issue ... We are offering online training on Data Science. . Provide OPT Stem Ext.: Guidance and support for ...

Kanshe Infotech

Data Science Training

Lexington, KY

We advise our trainees not to wait till the next class to seek answers to any technical issue ... We are offering online training on Data Science. . Provide OPT Stem Ext.: Guidance and support for ...

Kanshe Infotech

Data Science Training

Lexington, KY · On-site

We advise our trainees not to wait till the next class to seek answers to any technical issue. • ... on Data Science. . Provide OPT Stem Ext.: Guidance and support for applying for the 24-month OPT ...

Systems Planning and Analysis

Data Scientist

San Diego, CA · On-site

$125K - $144K/yr

... trainee measurement aids when required for training of new or upgraded equipment due to a major ... Bachelor's Degree in Data Science or equivalent * 5 (Five) or more years of professional experience ...

Systems Planning and Analysis

Data Scientist

San Diego, CA · On-site

$125K - $144K/yr

... trainee measurement aids when required for training of new or upgraded equipment due to a major ... Bachelor's Degree in Data Science or equivalent * 5 (Five) or more years of professional experience ...

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How much do trainee data science jobs pay per year?

As of May 28, 2026, the average yearly pay for trainee data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 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.

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What are the most commonly searched types of Data Science jobs? The most popular types of Data Science jobs are:
What states have the most Trainee Data Science jobs? States with the most job openings for Trainee Data Science jobs include:
What job categories do people searching Trainee Data Science jobs look for? The top searched job categories for Trainee Data Science jobs are:
Trainee Data Science jobs near you
Trainee Consultant-Data Science

Trainee Consultant-Data Science

Applexus Technologies

Seattle, WA • On-site

Full-time

Posted 17 days ago

Job description

United States of America Seattle Full Time
Applexus is a global technology and business consulting firm founded in 2005 and headquartered in Seattle, with delivery centers across North America, Canada, the United Kingdom, and India. We help enterprises realize value from AI and advanced analytics by applying AI/ML solutions directly to core business processes.
With strong foundations in SAP and enterprise platforms, Applexus delivers AI-driven transformation across SAP S/4HANA, data modernization, analytics, and cloud-native architectures. Our focus is on translating enterprise data into actionable intelligence that improves decision-making, operational efficiency, and business outcomes.
Applexus approaches AI pragmatically designing solutions that are scalable, governed, and ready for real-world enterprise deployment.
Applexus AI Practice
The Applexus AI Practice is built on deep domain expertise and a strong understanding of enterprise systems, particularly SAP. We combine this knowledge with our proprietary AI accelerators to help organizations move from AI exploration to production-ready implementation.
Our teams embed intelligent automation into the fabric of enterprise operations, enabling AI systems that operate within existing workflows rather than alongside them. These solutions are designed to integrate seamlessly with SAP landscapes while meeting enterprise standards for security, reliability, and performance.
A key area of focus is Agentic AI-autonomous, goal-driven systems that can reason and act across enterprise processes. By pairing agentic architectures with SAP domain expertise, Applexus delivers AI solutions that are context-aware, governed, and built for scale.
About the Role:
We are looking for a motivated and inquisitive Trainee Consultant - Data Science to join our team. In this role, you will contribute to real-world machine learning and data science projects under the mentorship of experienced professionals. This opportunity is ideal for individuals who are eager to apply their academic knowledge, expand their technical skills, and gain hands-on experience in AI/ML technologies in a collaborative environment.
Skills & Qualifications:
  • Master's degree in data science, Artificial Intelligence, or a related field from an accredited U.S. university.
  • Proficiency in Python
  • Familiarity with machine learning libraries and frameworks such as scikit-learn, TensorFlow, PyTorch, or Keras.
  • Solid understanding of statistics, linear algebra, and core machine learning algorithms.
  • Strong analytical and problem-solving abilities.
  • Capable of working both independently and collaboratively in a team environment.
Key Responsibilities:
  • Assist in the design, development, and evaluation of machine learning models.
  • Perform data cleaning, preprocessing, and feature engineering tasks.
  • Contribute to projects involving predictive modeling, natural language processing (NLP), or computer vision.
  • Utilize Python and tools such as Pandas, NumPy, scikit-learn, TensorFlow, or PyTorch in project execution.
  • Collaborate with team members to analyze outcomes and generate actionable insights.
  • Maintain thorough documentation of work, models, and findings.
What You'll Gain:
  • Practical, hands-on experience with leading AI/ML technologies.
  • Mentorship and guidance from experienced professionals in the field.
  • Opportunity to contribute to real-world projects with measurable impact.
  • Potential consideration for future full-time roles will be based on performance during the training tenure.
How to Apply
Interested candidates may apply through the career site by submitting their full resume.
  • Preference will be given to U.S. Citizens and Green Card holders.
  • Candidates on OPT with STEM extension eligibility are also welcome to apply and will be considered based on merit. If on OPT, please specify the validity period and indicate STEM eligibility.

Location: Seattle, USA
Work Hours: Full Time (40 hours per week)
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