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Data Scientist Internship Jobs in Rochester, NY (NOW HIRING)

Digital Analyst Internships

Geneseo, NY · On-site

$95K - $112K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Computer Science, Information Systems, or a related field * Familiarity with data analysis ...

Digital Analyst Internships

Rochester, NY · On-site

$97K - $115K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Computer Science, Information Systems, or a related field * Familiarity with data analysis ...

By submitting your interest, you'll be among the first to know when internship opportunities open ... You'll work in a collaborative environment alongside experienced scientists and contribute to real ...

By submitting your interest, you'll be among the first to know when internship opportunities open ... You'll work in a collaborative environment alongside experienced scientists and contribute to real ...

By submitting your interest, you'll be among the first to know when internship opportunities open ... Strong analytical and problem-solving skills with the ability to interpret complex data

By submitting your interest, you'll be among the first to know when internship opportunities open ... Strong analytical and problem-solving skills with the ability to interpret complex data

Internship, research, or project experience in the semiconductor or electronics industry ... Experience with data analysis tools such as Excel, JMP, Minitab * Understanding of reliability ...

... data using appropriate statistical and scientific methods to assess process capability and ... Internship or co-op experience in a regulated environment is preferred. Knowledge, Skills, and ...

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Showing results 1-20

Data Scientist Internship information

See Rochester, NY salary details

$45.4K

$162.8K

$240.3K

How much do data scientist internship jobs pay per year?

As of Jul 26, 2026, the average yearly pay for data scientist internship in Rochester, NY is $162,818.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,700.00 and $167,700.00 per year, depending on experience, location, and employer.

What would a data science intern do?

A data science intern assists with data collection, cleaning, and analysis using tools like Python or R. They support the development of models, generate reports, and learn industry-standard techniques under supervision to gain practical experience in data-driven decision making.

What are the big 4 internships?

The 'Big 4' internships typically refer to internship programs offered by the four largest professional services firms: Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These firms offer internships in areas such as consulting, audit, tax, and advisory, providing valuable experience for aspiring professionals, including data scientists interested in analytics and business intelligence roles within these organizations.

What is the difference between Data Scientist Internship vs Data Analyst Internship?

AspectData Scientist InternshipData Analyst Internship
Required CredentialsTypically pursuing or recent graduate in Data Science, Computer Science, or related fieldsOften pursuing or recent graduate in Statistics, Business, or related fields
Work EnvironmentCollaborates on advanced analytics, machine learning models, and predictive analyticsFocuses on data cleaning, reporting, and descriptive analytics
Employer & Industry UsageUsed in tech, finance, healthcare, and industries emphasizing AI and machine learningCommon in marketing, retail, and business intelligence sectors

While both internships involve working with data, Data Scientist Internships focus on building models and advanced analytics, whereas Data Analyst Internships emphasize data reporting and descriptive analysis. The choice depends on your skills and career goals in data roles.

Is 30 an hour good for an internship?

For a Data Scientist Internship, earning $30 an hour is considered above average in many regions, as internships typically pay between minimum wage and $20 per hour. This rate may reflect strong skills in programming, data analysis, and familiarity with tools like Python or R. However, pay standards vary by location and company size, so it's important to compare with local market rates and internship expectations.

What kind of projects and tasks can I expect to work on during a Data Scientist Internship?

As a Data Scientist Intern, you'll typically work on real-world data problems, such as cleaning and analyzing large datasets, developing predictive models, and visualizing insights for stakeholders. You might collaborate closely with data engineers, software developers, and business analysts to support ongoing projects or conduct exploratory data analysis for new initiatives. Interns often have opportunities to present their findings and contribute to decision-making processes, gaining hands-on experience with industry-standard tools and methodologies. The work environment is usually dynamic and supportive, with mentorship from experienced data scientists to help you grow your technical and analytical skills.

What is a Data Scientist Internship?

A Data Scientist Internship is a temporary, entry-level position where students or recent graduates gain hands-on experience working with real-world data. Interns typically assist with data collection, cleaning, analysis, and visualization under the supervision of experienced data scientists. The role helps interns develop technical skills in programming, statistics, and machine learning while contributing to projects that solve business problems. Internships often serve as a stepping stone to a full-time data science career, providing valuable industry exposure and networking opportunities.

What Are the Qualifications to Get a Data Scientist Internship?

To get a data scientist internship, you must either be pursuing a degree in data science, applied math, or computer science or have recently completed a degree in a related area. To qualify for an intern position, you need to have a strong background in math, and you must understand programming languages like Python, Java, and C++. As an intern, you need to be able to follow directions and learn new concepts rapidly. Additional qualifications include excellent grades, strong communication skills, an understanding of algorithms, and extensive knowledge of statistical and predictive modeling concepts.

Which internship is best for data science students?

The best internship for data science students typically offers hands-on experience with data analysis, machine learning, and programming tools like Python or R. Look for programs that provide mentorship, real-world projects, and opportunities to develop skills in data visualization and statistical modeling.

What are the key skills and qualifications needed to thrive as a Data Scientist Intern, and why are they important?

To excel as a Data Scientist Intern, you need a solid grounding in statistics, programming (typically Python or R), and data analysis, often supported by coursework or a degree in a quantitative field. Familiarity with tools like Jupyter Notebooks, SQL databases, and machine learning libraries such as scikit-learn or TensorFlow is commonly expected. Strong problem-solving skills, curiosity, and effective communication help interns interpret data and explain insights to diverse audiences. These skills enable interns to contribute meaningfully to projects, bridge technical and business goals, and accelerate their learning in a real-world data science environment.
What are the most commonly searched types of Data Scientist jobs in Rochester, NY? The most popular types of Data Scientist jobs in Rochester, NY are:
What job categories do people searching Data Scientist Internship jobs in Rochester, NY look for? The top searched job categories for Data Scientist Internship jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Data Scientist Internship jobs? Cities near Rochester, NY with the most Data Scientist Internship job openings:
Infographic showing various Data Scientist Internship job openings in Rochester, NY as of July 2026, with employment types broken down into 92% Full Time, and 8% Temporary. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $162,818 per year, or $78.3 per hour.
Data Platform Engineer

Data Platform Engineer

Avani Technology Solutions, Inc.

Rochester, NY • On-site

$113K - $135K/yr

Full-time

Posted 19 hours ago


Job description

Position: Data Platform Engineer
Location: Rochester, NY
Duration: 12+ Months
Hadoop and Informatica experience are a MUST
Description:
The Data Platform Engineer engages in the design, development and maintenance of the big data platform. This platform hosts structured and non-structured data sets that support various business operations and enable data-driven decisions. The role involves administering various data-hub ecosystem open source software tools along with other vendor supported tools like HortonWorks Hadoop, CISCO DV, IBM COGNOS tools. The DPE will work closely with Data Scientists, infrastructure Administrators and Data Platform Architects to ensure the platform meets business demands.
Essential Resource Responsibilities / Accountabilities: Level I- Installs and /or upgrades, configures, administers and troubleshoots the data hub software environment in order to achieve a reliable, highly available, well performing system- Provides direct technical support to data warehouse user community, and triages support to appropriate personnel when technical support is not sufficient.- Develops standards, policies and procedures for the form, structure and attributes of the data warehouse tools and systems - Develops data/information quality metrics- Develops processes to monitor cluster performance and resource usage- Works with Server Engineers to install new nodes, resolve node failures, and apply patches and upgrades- Maintains processes that feed data from various systems across the enterprise, ensuring data quality and process efficiency- Follows and helps streamline procedures for provisioning access to the BI system and establishing security Minimum Resource Qualifications:- Bachelor's degree in Information Technology, Computer Science, Software Engineering, or closely related field (or four additional years related work experience in lieu of bachelors)- Related work experience (i.e. Co-ops/Internships) preferred- Ability to take initiative and have a strong vision for driving large scale distributed data platforms- Experience with ecosystem components such as Hadoop, Cisco DV, Cognos, etc- Familiarity with Linux system administration, Linux scripting and networking skills- Proficiency in a programming language such as Python or Java is a plus- Experience with relational and NoSQL databases, including modeling and writing complex queries is a plus- MUST have EXCELLENT communication and
analytical skills Level I - Ability to perform routine tool maintenance working with the vendors and others on the team- Ability to identify data warehouse application and data issues- Monitor system uptime and performance- Escalate appropriately to management and/or more senior Tool Administrators- Minimum of 3 years' experience in tool administration- Demonstrated experience with Data Warehousing- Proactively identify and address risks on system before they become systems issues- Research and resolve data warehouse application and data issues
Physical Requirements- Ability to travel across regions Physical Requirements: In support of the Americans with Disabilities Act, this resource requirements document lists only those responsibilities and qualifications deemed essential to the position Equal Opportunity
Employer: As such, requires all suppliers of temporary staffing resources to affirm the rights of every person to participate in all aspects of employment without regard to race, color, sex/gender, age, disability, religion, creed, citizenship status, national origin, veteran status, military status, marital status, familial status, domestic violence victim status, sexual orientation, gender identity, predisposing genetic characteristic, genetic information, or any other status protected under the law