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Computer Science Phd Research Intern Jobs in Columbus, OH

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

About R&D Roles at Danaher Are you driven by curiosity, discovery, and a desire to contribute to meaningful scientific innovation? As an R&D Intern at Danaher, you'll gain hands-on experience ...

Marketing Intern

Columbus, OH · Remote

$14.50 - $19.25/hr

Digital Marketing - Intern Corporate Global Operations Columbus, OH/Remote At OTC Industrial ... Computer Sciences, Media Studies Our Offer to You A quality internship experience with impactful ...

The Inside Sales Intern within the Client Services team supports aftermarket parts and service ... Experience using Computer and Internet research tools * Experience working with AI, including ...

Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial ... PhD in computer science, statistics, economics or related fields * Expert understanding of ...

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Computer Science Phd Research Intern information

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How much do computer science phd research intern jobs pay per month?

As of May 28, 2026, the average monthly pay for computer science phd research intern in Columbus, OH is $6,219.92, according to ZipRecruiter salary data. Most workers in this role earn between $4,266.67 and $7,408.33 per month, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Computer Science PhD Research Intern, and why are they important?

To thrive as a Computer Science PhD Research Intern, you need advanced knowledge in computer science fundamentals, research methodology, and typically be enrolled in a relevant PhD program. Experience with programming languages (such as Python, C++, or Java), data analysis tools, and version control systems like Git is often required. Strong analytical thinking, problem-solving abilities, and effective communication skills help interns collaborate and present complex ideas clearly. These skills are essential for contributing to innovative research projects, publishing findings, and succeeding in a competitive academic or industry research environment.

What types of projects and collaborations can a Computer Science PhD Research Intern typically expect during their internship?

As a Computer Science PhD Research Intern, you will often work on advanced research projects that align with your academic interests and the organization's strategic goals. Interns typically collaborate closely with senior researchers, engineers, and sometimes cross-functional teams such as product or data science groups. Projects may involve designing experiments, developing prototypes, or publishing findings in academic venues. The environment is usually supportive of exploration and peer feedback, and you’ll have opportunities to present your work, gain mentorship, and contribute to impactful, real-world applications.

What does a Computer Science PhD Research Intern do?

A Computer Science PhD Research Intern typically contributes to cutting-edge research projects under the guidance of experienced mentors, often in an academic or industry setting. Responsibilities may include designing experiments, developing algorithms, conducting data analysis, and publishing findings in conferences or journals. The role is designed to provide practical research experience, sharpen technical skills, and foster collaboration with other researchers. Interns often have the opportunity to work on real-world problems and gain insights into the research and development process within the field of computer science.
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What cities near Columbus, OH are hiring for Computer Science Phd Research Intern jobs? Cities near Columbus, OH with the most Computer Science Phd Research Intern job openings:
Infographic showing various Computer Science Phd Research Intern job openings in Columbus, OH as of May 2026, with employment types broken down into 1% Internship, 1% As Needed, 95% Full Time, and 3% Part Time. Highlights an 85% Physical, 11% Hybrid, and 4% Remote job distribution, with an average salary of $74,639 per year, or $35.9 per hour.
Data Science Manager, Gen AI - SFL Scientific

Data Science Manager, Gen AI - SFL Scientific

Deloitte

Columbus, OH • On-site

Full-time

Posted 7 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

60th of 138 rated financial services


Job description

Job Summary:
Deloitte is a leading professional services firm that helps clients navigate their most critical moments and transformational initiatives. The Data Science Manager at SFL Scientific will lead a team to design, develop, and deploy AI solutions across various industries, ensuring the technical direction and successful delivery of client engagements.
Responsibilities:
• Develop and manage a team of developers to deliver novel solutions in the AI and GenAI domains.
• Be responsible for the technical direction of client engagements while defining the project strategy, communicating complex concepts to both technical and non-technical audiences, and leading solution development to solve our clients' use cases.
• Provide leadership for our comprehensive data science and AI initiatives, developing and executing strategies that deliver measurable business and scientific outcomes.
• Support identification of high-value AI opportunities that drive industry advantage, representing an organization's AI vision through strategic delivery and industry.
• Serve as the technical lead on projects to drive the technical strategy, roadmap, and prototyping of AI/ML solutions to meet each clients' unique requirements.
• Engage and guide a diverse set of clients with high autonomy in AI strategy and adoption, including understanding organizational needs, performing exploratory data analysis (EDA), building and validating models, and deploying models into production.
• Lead comprehensive AI initiatives spanning predictive and generative AI, overseeing development of advanced models and ensuring systems are scalable, efficient, and adhere to requirements and AI guidelines.
• Support an interdisciplinary team of data scientists, engineers, and solution architects to achieve technical delivery objectives and real-world performance for production and research applications.
• Lead in the research and adoption of industry best practices for validation and deployment of models; support best delivery practices, code review, UAT, unit, and integration tests.
• Present to key stakeholders, including solution findings and options for potential deployment infrastructure, hardware, software, cloud, etc.
• Mentor, motivate, and coach junior data scientists on technical best practices and inspire professional development.
• Develop key skillsets and delivery experience to grow into leadership or non-technical management and business roles.
Qualifications:
Required:
• Master's or PhD degree in a relevant STEM field (Data Science, Computer Science, Engineering, Mathematics, Physics, etc.)
• 6+ years of experience working in data science, data engineering, software engineering, or MLOps
• 6+ years of experience in AI/ML algorithm development workflow and data analysis in the major data modalities from NLP, time-series analysis, computer vision to graph models
• 6+ years of experience in core programming languages and data science packages (Python, Keras, PyTorch, Pandas, Scikit-learn, Docker, Kubernetes, etc.)
• 6+ years of experience with traditional ML and deep learning techniques (CNNs, RNNs, LSTMs, GANs), model tuning, and validation of developed algorithms
• 4+ years of experience managing teams and delivering complex and critical projects
• Live within commuting distance to one of Deloitte's consulting offices
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
• Limited immigration sponsorship may be available
Preferred:
• Experience with cloud deployment (AWS, Azure, GCP), such as building and scaling in AWS SageMaker or Azure ML Studio
• Experience with developing and testing GenAI solutions
• Experience in a client-facing role or internal AI product development role
• Highly proficient written and verbal skills to support briefings, proposals, technical sprint plans, solution reports, progress updates, and executive presentations
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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