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Trainee Data Science Jobs (NOW HIRING)

Baylor College of Medicine

WI · On-site

$100 - $125/hr

Assistant Professor - Data Science (Trauma, Critical Care, and Healthcare Disparities Research ... trainees. Job Duties * Build and test statistical, optimization, and machine learning models ...

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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 I - Management Trainee

Mulligan Funding

San Diego, CA • On-site

$82K - $90K/yr

Full-time

Posted 18 days ago

Key responsibilities

  • Perform SQL queries and complex data aggregations to support credit strategies and portfolio monitoring.

  • Conduct deep-dive quantitative analyses to evaluate credit policy changes and lending performance.

  • Collaborate with cross-functional teams including Risk and Operations to present analytical findings.

Job description

Headquartered in San Diego, Mulligan Funding serves as a leading provider of working capital (Up to $10M) to the small and medium-sized businesses that fuel our country. Since 2008, we have prided ourselves on our collaborative, innovative, and customer-focused approach. Enjoying a period of unprecedented growth, driven by the combination of cutting-edge technology, human touch, and unwavering integrity, we are looking to add to our people first culture, with highly motivated and results-oriented professionals, to push the limits of what’s possible while creating value for all of our partners.

At Mulligan, we are transforming small business lending by replacing legacy processes with fast, intelligent, AI-driven decisioning. Backed by 18 years of proprietary credit data and deep risk expertise, our production-grade AI agents are already running in active credit and underwriting workflows. As we expand this AI-first approach across Sales, Customer Lifecycle, Finance, and Capital Markets, we offer an uncommonly rich environment for emerging data scientists. 

By stepping directly into the center of these efforts, you won't just observe modern machine learning—you will gain hands-on experience with advanced, industry-leading tools and complex technical architectures while contributing directly to our mission of scaling AI across the organization.

Designed for ambitious graduates eager to solve real-world financial and risk challenges, the Data Scientist I Management Trainee role places you alongside senior leads in Credit & Pricing Strategy and Portfolio Analytics. In this position, your analytical rigor, SQL-based deep dives, and credit policy impact evaluations will directly inform key strategic decisions and drive our continuous growth.

You will:
  • Perform SQL queries and complex data aggregations to support credit strategies and portfolio monitoring.
  • Conduct deep-dive quantitative analyses to evaluate credit policy changes and lending performance.
  • Collaborate with cross-functional teams including Risk and Operations to present analytical findings. 
    Present analytical opportunities for business improvement , influence stakeholders with data backed strategies.
  • Work with data vendors in pushing data boundaries.
Qualifications & Requirements
  • Education: Bachelor’s degree in Mathematics, Statistics, or a related Quantitative field (must be in top 10% of graduating class).
  • Technical Skills: Strong proficiency in SQL and Python for complex data aggregation and analysis.
  • Aptitude: High capacity for analytical reasoning and a solid quantitative background.
  • Location: San Diego, CA (On-site / Hybrid collaboration near business headquarters).
A reasonable estimate of the base salary range for this role is $82,800 to $90,000 per year. In determining final compensation within the base range, Mulligan Funding considers a variety of factors, including market data, relevant experience, skills, and past performance.
Mulligan Funding is an Equal Opportunity Employer (EOE) and takes great pride in building a diverse work environment. Qualified applicants are considered for employment without regard to age, race, religion, gender, national origin, sexual orientation, disability or veteran status.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.