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Trainee Data Science Jobs (NOW HIRING)

Provide senior leadership in research methods, study design, data science, analytics, and ... trainees, fostering academic development and research independence. Collaborate with internal ...

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Trainee Data Science information

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$37.5K

$122.7K

$196.5K

How much do trainee data science jobs pay per year?

As of Jul 8, 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 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 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 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.
More about Trainee Data Science jobs
What cities are hiring for Trainee Data Science jobs? Cities with the most Trainee Data Science job openings:
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:
Infographic showing various Trainee Data Science job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Tenure-Track, Data Science-Focused Faculty (PhD or MD)

Tenure-Track, Data Science-Focused Faculty (PhD or MD)

University of Maryland, Baltimore

Baltimore, MD • On-site

Full-time

Medical, Dental, Retirement

Posted 29 days ago


University Of Maryland, Baltimore rating

7.7

Company rating: 7.7 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

223rd of 546 rated colleges and universities


Job description

Job Description
The University of Maryland Institute for Health Computing (IHC) is recruiting for tenure-track, data science-focused faculty (PhD or MD) with expertise in one or more of the following: learning health systems, pragmatic clinical trials, population health, therapeutic target discovery, health economics, outcomes research, community-engaged clinical research, health equity research, real-world evidence generation.
The UM-IHC is a large-scale initiative focusing on computational and analytical methods to build a learning health system for improving the quality of life and longevity of the citizens of Maryland. The UM-IHC, located in North Bethesda, MD, is a collaborative effort of the University of Maryland Baltimore, the University of Maryland College Park, and the University of Maryland Medical System, funded with initial grants from the State of Maryland's MPower initiative and Montgomery County, MD. Key foci of the Institute include population health, clinical trial innovation, data analytics, therapeutic target discovery, and education and training. Applicants with an outstanding record of research accomplishments, publications, and external funding commensurate with their academic stage are encouraged to apply.
The selected candidate will collaborate with other faculty members at the University of Maryland School of Medicine, the University of Maryland College of Computing, Mathematical, and Natural Sciences, and other schools of the University of Maryland System, as well as physicians and data scientists from the University of Maryland Medical System. Faculty applying should be versed in computational methods to advance health sciences research with an emphasis on clinical implementation and prospective testing of new methodologies. They should have experience leading a research program with a track record of securing independent extramural funding and publishing senior author manuscripts. The successful candidate will be expected to supervise and mentor staff and fellows within the UM-IHC, and may provide clinical service in their selected field.
Qualifications
Qualified candidates will contribute to the research, teaching and/or clinical missions of the University, sustain an externally funded individual research program consistent with the School of Medicine's vision, and enhance research opportunities for other School of Medicine faculty and trainees. If the candidate will provide patient care through clinical responsibilities, a medical degree from a recognized accredited university (or foreign equivalent) is required and candidates must be BC/BE, and eligible for a license to practice medicine in the State of Maryland.
Expected faculty rank for this position is Assistant Professor or higher, however, final rank, tenure status and salary will be commensurate with selected candidate's qualifications and experience.
We are proud to offer a competitive salary, medical/dental benefits, disability plans, retirement plans, and more! UMB was ranked 13th in 'Forbes' 2021 America's Best Large Employers Survey.
For immediate consideration, please send a cover letter and current CV, as well as contact information of three references to Elissa Miller, Program Manager, email: Though not required, candidates are also invited to include a perspective statement on equity, diversity, inclusion, and civility.
UMB is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law or policy. We value diversity and how it enriches our academic and scientific community and strive toward cultivating an inclusive environment that supports all employees.
If you need a reasonable accommodation for a disability, for any part of the recruitment process, please contact us at and let us know the nature of your request and your contact information. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.

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