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Overnight Data Science Apprenticeship Jobs (NOW HIRING)

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company ... Tax and Audit The program is structured as a high-engagement cohort-based apprenticeship experience ...

Associate Director, Data Science

Knoxville, TN · On-site

$56K - $56K/yr

This role is foundational to leading our Data Science Team, which partners with our Analytics ... Job may require traveling overnight, driving long distances as required and sitting for extended ...

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company ... Tax and Audit The program is structured as a high-engagement cohort-based apprenticeship experience ...

This role supports the building of skilled and talented data science teams by providing input to ... Typically requires overnight travel less than 10% of the time. Physical Requirements: * Most of the ...

Review overnight data quality dashboards and exception reports, triaging open Asset DQIs, reaching ... You have a bachelor's degree, or equivalent professional experience, in Data Science/ Analytics ...

Based on the specific data science project, this role would need to be knowledgeable in one or more ... Typically requires overnight travel less than 10% of the time. Physical Requirements: * Most of the ...

Based on the specific data science team, this role would need to be Proficient in one or more data ... Typically requires overnight travel less than 10% of the time. Physical Requirements: * Most of the ...

... science techniques Physical Requirements 0-10% overnight travel required. Qualifications * Education: A minimum of a Bachelor's Degree within relevant field (e.g., Computer Science, Applied ...

... science techniques Physical Requirements 0-10% overnight travel required. Qualifications * Education: A minimum of a Bachelor's Degree within relevant field (e.g., Computer Science, Applied ...

... science techniques Physical Requirements 0-10% overnight travel required. Qualifications * Education: A minimum of a Bachelor's Degree within relevant field (e.g., Computer Science, Applied ...

Based on the specific data science team, this role has expertise in one or more data science ... Typically requires overnight travel less than 10% of the time. Physical Requirements: * Most of the ...

This role requires deep knowledge in specialized data science areas, particularly in recommendation ... Typically requires overnight travel less than 10% of the time. Physical Requirements: * Most of the ...

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Applied Data Science Intern

Applied Data Science Intern

Evolver

Palo Alto, CA • On-site

Full-time, Internship

Posted 8 days ago


Job description

Applied Data Science Summer Internship
About Us:
Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In just 1.5 years, the company has grown from 0 to nearly 100 employees, bringing together an exceptional team of technologists, researchers, and industry experts. Founders includes former executives from some of the world's top organizations, including the former Global CTO and Global Board Member of Ernst and Young and the former VP of AI from Microsoft, alongside senior leaders from other major global enterprises. The team includes multiple PhDs and a strong concentration of employees with advanced degrees from leading universities. This in-person internship offers a small cohort of students the opportunity to work directly alongside experienced operators and AI experts while gaining hands-on exposure to using the latest innovations in data science applications at a frontier startup environment.
Program Details:
Evolver is launching a small, highly selective summer internship cohort for students and emerging talent to gain hands-on experience applying data science techniques to enterprise datasets while learning to leverage and deploy AI systems for real-world Fortune 500 business use cases.
This is an intensive 10-week, full-time small cohort program designed to provide direct mentorship from experienced professionals in computer science, data science, artificial intelligence, and enterprise software deployment.
  • Duration: 10 weeks (full-time), June through Early August.
  • Competitive Compensation: Tailored to your experience and skill set.
  • Format: Hybrid (4+ days in person) - Based in Palo Alto, CA off University Ave
  • Cohort Size: Small and mentorship-focused
  • Learning Goals: Develop and apply AI-driven data science solutions on real-world datasets and workflows supporting Fortune 500 enterprise use cases.

Role Details:
Interns will contribute to real data innovation projects involving:
  • Data analysis and machine learning pipelines
  • AI agents, retrieval systems, and evaluation frameworks
  • Enterprise AI integration and deployment tooling
  • Product prototyping and applied research
  • Automation systems for large-scale organizational use
  • Real world enterprise use cases of graph theory
  • Gain direct exposure to Fortune 500 clients
  • Access enterprise-scale AI and data science initiatives through hands-on collaboration with internal teams and customer engagements.

Projects are oriented toward practical AI solutions deployed in enterprise and Fortune 500 environments.
Mentorship & Learning
Interns will work closely with experienced staff and technical mentors with expertise in:
  • Computer Science
  • Data Science & Analytics
  • Applied AI & Machine Learning
  • Enterprise Infrastructure
  • Scalable AI Deployment
  • Risk and Compliance Frameworks
  • Tax and Audit

The program is structured as a high-engagement cohort-based apprenticeship experience emphasizing:
  • Daily in person technical collaboration
  • Rapid learning and iteration
  • Exposure to real deployment challenges
  • Cross-disciplinary problem solving
  • Professional development in AI engineering and enterprise systems

Who Should Apply:
We welcome applications from:
  • Graduate students with a record of excellence
  • Exceptional advanced undergraduates

All candidates are required to be recommended by an accredited professor leading a relevant program at a top university. Will be verified during application process.
Strong candidates typically demonstrate:
  • Programming experience
  • Curiosity about AI systems and emerging technologies
  • Initiative, creativity, and strong problem-solving ability
  • Prior technical, research, or project experience

You do not need deep expertise in every area, we value intellectual curiosity, adaptability, and motivation to build.