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$37.5K

$122.7K

$196.5K

How much do trainee data science jobs pay per year?

As of Sep 7, 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 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.

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.

Can you get into trainee data science with no experience?

Trainee data science roles often do not require prior experience and are designed for beginners. Candidates typically need foundational skills in programming, statistics, or data analysis, which can be gained through online courses or self-study. Demonstrating a willingness to learn and basic knowledge of tools like Python or Excel can improve chances of entry-level hiring.

How do I get a job in trainee data science with no experience?

To secure a trainee data science position with no experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, certifications, or projects can demonstrate your abilities to employers and improve your chances of entry-level roles.
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Trainee Data Science jobs near you
Infographic showing various Trainee Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

Systems Planning and Analysis

San Diego, CA • On-site

Full-time

Medical, Life, Retirement

Re-posted 29 days ago

Key responsibilities

  • Develop and modify training plans, packages, and guides for NAVWAR enterprise products and systems.

  • Support installation, re-installation, and upgrades of training equipment and facilities related to new or modified systems.

  • Prepare technical manuals and instructor guides for training of new or upgraded equipment.

Job description

Overview
Systems Planning and Analysis, Inc. (SPA) delivers high-impact, technical solutions to complex national security issues. With over 50 years of business expertise and consistent growth, we are known for continuous innovation for our government customers, in both the US and abroad. Our exceptionally talented team is highly collaborative in spirit and practice, producing Results that Matter. Come work with the best! We offer opportunity, unique challenges, and clear-sighted commitment to the mission. Objective. Responsive. Trusted.
The AUKUS, Submarines, and Industrial Base Group (ASIG), within the Sea, Land, Air Division, provides timely, objective, analytic assessments that integrate technical, operational, programmatic, policy and business analysis to Director Submarine Program directorates and key stakeholders surrounding submarine platform construction. Director Submarine Program unifies submarine platform procurement activities, which includes the Columbia-class SSBN program (a Major Defense Acquisition Program and the Navy's top acquisition priority), the Virginia-class SSN program, the new SSN-X program (developing the next generation attack submarine), and the AUKUS Integration and Acquisition Office, to bring improved capabilities to our undersea forces. Analysts and Engineers supporting Director Submarine Program will continue SPA's decades of support to the SSBN force, as well as supporting oversight of cutting-edge attack submarine construction, assisting in developing the design requirements for the SSN platform of the future, and helping plan and execute new and innovative strategies to strengthen the critical submarine shipbuilding industrial base. These are high-profile, major acquisition and manufacturing programs of significant importance to the future capabilities of the US Navy in an era of renewed strategic competition.
SPA is looking for a Mid-Level Data Scientist with Artificial Intelligence experience in the training and development field to support a contingent role with Naval Information Warfare Systems Command (NAVWAR) Manpower, Personnel & Training in San Diego, CA. #KS M
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Responsibilities
In this role, a Mid-Level Data Scientist will work with NAVWAR's CNO's Integrated Product Team for Data Science to help develop data scientist training for NAVWAR Enterprise products. Work will include creation and modification of initial training plans, usable training packages for systems in production as well as training guides for instructors and maintenance personnel; support installation of new training equipment, including preparation of plans; alterations, conversions, rehabilitations, of facilities required incident to installation (excluding military construction); and field engineer services; support removals and re-installation of an initial equipment installation project, removal of equipment no longer used for training purposes, and re-installations required because of the re-establishment of upgrade of a training program; support initial training for new production equipment furnished until the training agency can acquire the capability; prepare technical or journeyman's manuals with associated instructor guides and trainee measurement aids when required for training of new or upgraded equipment due to a major system modification.
Qualifications
Required Qualifications:
  • Bachelor's Degree in Data Science or equivalent
  • 5 (Five) or more years of professional experience in data science related to training and development, with a artificial intelligence focus
  • Data management and data visualization experience with Navy or comparable DoW databases
  • Possession of 1 or more relevant industry certifications such as CompTIA Cloud Essentials, Microsoft Technical Associate (MTA), Certificate of Cloud Security (CCSK), CompTIA A+, CompTIA Security+, EMC Data Science Associate (EMCDSA), Cloudera Certified Data Scientist (CCDH), Certified Apache Hadoop Developer (HCAHD) (Hortonworks), Certified Information System Security Professional (CISSP), Certified Cloud Professional (CCP) (Cloudera), Microsoft Certified Professional Developer (MCPD), Microsoft Certified Solution Developer(MCSD), Microsoft Certified Solution Expert (MCSE), Private Cloud, Certified Administrator for Apache Hadoop (CCAH) (Cloudera)
  • Proven ability to work independently and within a team environment to achieve client objectives.
  • DoD Top Secret Clearance and the ability to maintain it throughout employment

Desired Qualifications:
  • Ability to collaborate with Navy partners to execute integrated training products
  • Experience in direct support of a Navy or DoW data visualization product developing, preferably within NAVWAR or NETC

Pay Range Information
At SPA, we strive to deliver a robust total compensation package that will attract and retain top talent. Elements of the compensation package include competitive base pay and variable compensation opportunities. SPA provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, etc. Please note that the salary information shown below is a general guideline only. Salaries are commensurate with experience and qualifications, as well as market and business considerations. California, Pay Transparency Salary range: USD $125,000.00/Yr. - USD $144,000.00/Yr.

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