Data Science Intern
Jacobs
About the role
About
At Jacobs, we're challenging today to reinvent tomorrow by solving the world's most critical problems for thriving cities, resilient environments, mission‑critical outcomes, operational advancement, scientific discovery and cutting‑edge manufacturing, turning abstract ideas into realities that transform the world for good.
We’re putting our knowledge and imagination together to shape the next generation of innovative data science solutions. The Data Science Intern will gain real‑world experience in innovative solution development, working alongside world‑class professionals in a fast‑paced, professional setting.
Responsibilities
- Work on computer vision, digital image processing, databases and analytics, supervised learning, web application development, logic in computer science, data mining and information retrieval projects.
- Collaborate directly with clients on complex analyses and present deliverables to non‑technical personnel.
- Contribute to data wrangling, modeling, and ML/AI efforts for client studies.
- Participate in team activities, coordinate program components, and support hybrid work arrangements.
Requirements
- B.A. or B.S. degree in a quantitative discipline (Computer Science, Data Science, Data Engineering, Artificial Intelligence, Applied Mathematics, Statistics, or related field) from an accredited university; preferred Master’s degree.
- Proficient experience in data science focused on client studies, modeling, data wrangling, and/or ML/AI.
- Fluency in C#, Python, R, and/or other computing languages.
- Familiarity with SQL and relational databases.
- Experience with Business Intelligence tools such as Tableau and PowerBI.
- Proven ability to work directly with clients, conduct complex analyses, and present findings to non‑technical audiences.
- Ability to travel as necessary to meet project and client requirements.
- Demonstrated ability to work autonomously and be self‑directed.
- Strong collaborative skills, excellent communication, and ability to coordinate activities across program components.
- Strong analytical skills, critical thinking, and attention to detail.
Benefits
- Access to a 401(k) plan and legally mandated benefits.
- Health, well‑being, security, and future‑focused benefits designed to invest in employees.
Compensation
- Base salary range: $58,240.00 – $60,000.00 (paid hourly based on hours worked).
- Pay determined by work location, job‑related skills, experience, and relevant education or training.
Equal Opportunity
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
Job posted on January 26 2026; position open for at least 3 days.
Requirements
- B.A. or B.S Degree in a quantitative discipline (Computer Science, Data Science, Data Engineering, Artificial Intelligence, Applied Mathematics, Statistics, or related field) from an accredited university
- Proficient experience in data science focused on data for client studies, modelling, data wrangling, and/or ML/AI
- Fluency in C#, Python, R, and/or other computing languages
- Familiarity with SQL and relational databases
- Experience with a variety of Business Intelligence tools including Tableau and PowerBI
- Proven ability to work directly with clients in complex analyses and presenting deliverables to non-technical personnel
- Ability to travel as necessary to meet project and client requirements
- Demonstrated ability to work autonomously and be self-directed
- Proven ability to work within a collaborative team environment, excellent communication skills, and coordinate activities between program components
- Strong analytical skills, critical thinking, and attention to detail
Benefits
Skills
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