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New Grad & Entry-Level Data Science, AI and ML Jobs

New grad data science, AI, and machine learning jobs often share similar titles even when the day-to-day work is very different. This list helps early-career candidates compare those openings and focus on roles that match their technical strengths.

Data analyst and analytics engineering jobs may emphasize SQL, dashboards, experimentation, or data pipelines. Data science and applied science roles may lean more heavily on statistics, modeling, research, or advanced degrees, while machine learning and AI engineering positions often require Python, model deployment, and software engineering experience.

Our team manually reviews each job and refreshes availability hourly across startups, research laboratories, and established employers. Search by title, employer, technical keyword, location, or sponsorship needs, then compare the degree and skill requirements with evidence from your coursework, projects, research, or internships.

194
roles in this list
95
added this week
Featuring roles at
Canva
Netflix
Notion
Visa
Capital One
& 100K+ more
Got questions?

Explore our FAQ section to learn more.

If you've got foundational skills in Python or R, a solid grasp of statistics, and some project experience (even if it's just from school), you're ready. Employers know you’re new, so focus on highlighting your eagerness to learn and any real-world projects you’ve done. Use Simplify's job tracker to keep tabs on roles you're eyeing.

Yes. Degrees are great, but skills and experience matter more. Showcase any relevant coursework, certifications, or projects in data science, AI, or ML. Use Simplify to autofill applications and keep your focus on roles that match your skills.

Confidence isn't built overnight. Apply anyway. Interviews can be learning experiences. Meanwhile, brush up on coding via online resources or bootcamps. Simplify can help you find roles that require varying levels of coding expertise.

Absolutely. Big tech often values potential and learning agility over experience for entry-level roles. Leverage Simplify to gain insights into what these companies look for, and tailor your applications to meet those criteria.

Detail any unique projects, internships, or research you've done. Highlight your problem-solving skills and any contributions to open-source projects. Simplify’s autofill feature ensures your applications are consistent and polished, letting you focus on content.

Startups can offer rapid growth and varied responsibilities, while established companies provide structured learning paths. Decide based on your career goals and risk tolerance. Simplify can help you track opportunities in both environments to make an informed choice.

Aim for quality over quantity. Focus on roles where your skills align well and you’re genuinely interested. Use Simplify's job tracker to manage and prioritize your applications efficiently.