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Intern Python Data Science Jobs in Syracuse, NY (NOW HIRING)

SRC, Inc.

Engineering Intern (Fall 2026)

Syracuse, NY · On-site

$16.50 - $21.50/hr

Use Python, TCL and other scripting languages to automate continuous development, continuous ... Analyze data to identify patterns and optimize decision-making processes * Work with software and ...

INFICON

Operations Engineering Co-Op/Intern

Syracuse, NY · On-site

$18 - $26/hr

Other users of our vacuum-based processes include the life sciences, research, aerospace, packaging ... Participate in data collection failure analysis studies. Our emphasis on innovation and its source ...

INFICON

Operations Engineering Co-Op/Intern

Syracuse, NY · On-site

$18 - $26/hr

Other users of our vacuum-based processes include the life sciences, research, aerospace, packaging ... Participate in data collection failure analysis studies. Our emphasis on innovation and its source ...

SynergisticIT

Java/C++ Developer - Junior/Entry

Syracuse, NY · On-site

$66K - $86K/yr

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions ...

Reli Group Inc

Power BI Intern

Syracuse, NY · On-site

$15/hr

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 ...

Danaher

Digital Analyst Internships

Syracuse, NY · On-site

$97K - $115K/yr

As a Digital Analyst Intern, you'll work alongside a talented team focused on enhancing the digital ... Computer Science, Information Systems, or a related field * Familiarity with data analysis ...

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All JobsIntern Python Data Science JobsIntern Python Data Science Jobs in Syracuse, NY

Intern Python Data Science information

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How much do intern python data science jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for intern python data science in Syracuse, NY is $22.24, according to ZipRecruiter salary data. Most workers in this role earn between $17.12 and $24.23 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Intern Python Data Science, and why are they important?

To excel as an Intern Python Data Science, you should have a solid grasp of Python programming, statistics, and foundational data analysis concepts, typically supported by coursework or academic projects in data science or related fields. Familiarity with tools like Jupyter Notebook, Pandas, NumPy, and basic machine learning libraries such as scikit-learn is commonly expected. Curiosity, problem-solving, and the ability to communicate findings clearly are standout soft skills in this role. These competencies enable interns to effectively support data-driven projects, contribute to team goals, and develop practical experience essential for a future data science career.

What types of projects can I expect to work on as an Intern Python Data Science?

As an Intern Python Data Science, you will typically work on projects involving data cleaning, exploratory data analysis, and the development of predictive models using Python libraries like pandas, NumPy, and scikit-learn. You may be tasked with supporting ongoing research, building data visualizations, or automating data collection processes. Collaboration with data scientists and engineers is common, offering opportunities to learn best practices in code review, version control, and teamwork. These experiences provide a solid foundation for more advanced roles in data science.

What does an Intern Python Data Science do?

An Intern Python Data Science assists data science teams with tasks such as data cleaning, analysis, and visualization, primarily using Python programming. They may work on projects involving data collection, processing, and building simple predictive models. Interns are also expected to learn and apply various data science techniques and tools, often under the guidance of experienced data scientists. This role provides hands-on experience and exposure to real-world data challenges, helping interns develop their technical and analytical skills.

What is the difference between Intern Python Data Science vs Intern Data Analyst?

AspectIntern Python Data ScienceIntern Data Analyst
Required SkillsPython, data analysis, machine learning basicsExcel, SQL, data visualization
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing departments
Common TasksData cleaning, modeling, scriptingData reporting, dashboard creation

Intern Python Data Science roles focus on programming, machine learning, and advanced data analysis, often in tech-driven environments. Intern Data Analyst positions emphasize data reporting, visualization, and basic analysis in business settings. While both roles require analytical skills, Intern Python Data Science roles demand coding proficiency, whereas Intern Data Analyst roles focus more on data presentation and interpretation.

What are the most commonly searched types of Python Data Science jobs in Syracuse, NY? The most popular types of Python Data Science jobs in Syracuse, NY are:
What are popular job titles related to Intern Python Data Science jobs in Syracuse, NY? For Intern Python Data Science jobs in Syracuse, NY, the most frequently searched job titles are:
What job categories do people searching Intern Python Data Science jobs in Syracuse, NY look for? The top searched job categories for Intern Python Data Science jobs in Syracuse, NY are:
What cities near Syracuse, NY are hiring for Intern Python Data Science jobs? Cities near Syracuse, NY with the most Intern Python Data Science job openings:
Intern Python Data Science jobs near you

Data Science Technical Project Lead/ Project Manager

1 point system

Syracuse, NY • On-site

Contractor

Posted 3 days ago

Job description

Job Description

We are seeking a Data Science Technical Project Lead to drive the successful delivery of multiple AI, Machine Learning, and Data Science initiatives. This role combines technical leadership, project management, stakeholder engagement, and hands-on data science expertise to transform complex data into actionable business insights. The ideal candidate will lead cross-functional teams, manage project lifecycles, and ensure the successful implementation of AI/ML solutions that deliver measurable business value.

 

Key Responsibilities:

  • Lead and deliver 2-3 concurrent Data Science and AI/ML projects from initiation through deployment.
  • Define project scope, timelines, deliverables, and success metrics in collaboration with business stakeholders.
  • Manage project resources, risks, dependencies, and communications across technical and business teams.
  • Drive adoption of AI, Machine Learning, GenAI, and Agentic AI solutions to solve business challenges.
  • Translate complex analytical findings into actionable recommendations for stakeholders.
  • Collaborate with Data Scientists, Engineers, Product Owners, and external consultants.
  • Provide hands-on technical support when required, including Python-based development and analysis.
  • Ensure adherence to Agile, project management, and change management best practices.

 

Required Skills:

  • Strong experience in Data Science, Machine Learning, AI/GenAI, and Analytics.
  • Proven expertise in Project Management, Change Management, and Stakeholder Management.
  • Hands-on experience with Python, statistical analysis, and machine learning methodologies.
  • Knowledge of Cloud Platforms (Azure preferred).
  • Strong communication, presentation, and data visualization skills.
  • Master's degree in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field (or equivalent experience).

 

Preferred Qualifications:

  • Experience in Energy, Utilities, or Infrastructure sectors.
  • Familiarity with Agentic AI, LLMs, and Generative AI applications.
  • Experience with Power BI, GIS/ArcGIS, and Agile methodologies.
  • Active participation in GitHub, Kaggle, or other data science communities.

Interview Process

  • Initial Screening Round
  • Technical Interview Round
  • Take-Home Assignment followed by an In-Person Presentation and Discussion