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Internship Python Data Science Jobs in Syracuse, NY

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 ...

Danaher

Digital Analyst Internships

Syracuse, NY · On-site

$97K - $115K/yr

... Computer Science, Information Systems, or a related field * Familiarity with data analysis ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Danaher

Software Engineer Internships

Syracuse, NY · On-site

... internship start date * Experience with object-oriented programming (e.g., C#, Java, Python, C ... science, technology, and operational excellence to accelerate the impact of innovation in ...

John W. Danforth Company

Data Analytics Engineer

Syracuse, NY · On-site

$113K - $135K/yr

... Science, Information Systems, or related field (or equivalent experience) • Strong SQL skills and ... languages such as Python, Spark, or similar. • Strong problem-solving, analytical, and ...

FocusKPI

Marketing Operations Analyst

Syracuse, NY · On-site

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of ... Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and ...

Xylem

Hydroinformatics Engineer

Auburn, NY

Previous experience programming in software languages such as Python, R, C, MATLAB, etc. * Experience with modern data science workflows for data access and filtering, geospatial analysis, and model ...

Wipro Limited

DATA ANALYST L3(CONTRACT)

Phoenix, NY · On-site

$45K - $121K/yr

Charlotte, NC (onsite Role) Contract: * BS or MS degree in computer science, computer engineering ... GCP Cloud - Big Query, Airflow, DataProc, PubSub, Hadoop Hive, Spark, Python, shell scripting,

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Internship Python Data Science information

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

As of Jun 27, 2026, the average hourly pay for internship 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 Internship Python Data Science, and why are they important?

To thrive as an Internship Python Data Science, you need a solid understanding of statistics, data analysis, and programming in Python, often supported by coursework or academic projects in data science or related fields. Familiarity with tools and libraries such as Pandas, NumPy, Scikit-learn, and Jupyter Notebooks is typically expected. Strong problem-solving abilities, eagerness to learn, and effective communication are valuable soft skills for standing out in this role. These skills ensure interns can analyze data, contribute to team projects, and grow quickly in a fast-evolving technical environment.

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

AspectInternship Python Data ScienceData Analyst Intern
Required SkillsPython, SQL, statistics, machine learning basicsExcel, SQL, data visualization tools
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing sectors
Typical TasksData cleaning, modeling, predictive analysisData reporting, dashboard creation, trend analysis

Internship Python Data Science and Data Analyst Intern roles share common skills like SQL and data handling but differ mainly in focus. Data Science internships emphasize programming, modeling, and machine learning, while Data Analyst internships focus on data visualization and reporting. Both are valuable entry points in data careers, often found in similar industries and work environments.

What types of projects can I expect to work on during a Python Data Science internship?

As a Python Data Science intern, you will often work on projects involving data cleaning, exploratory data analysis, model building, and visualization using Python libraries like pandas, NumPy, and scikit-learn. You may assist in preparing datasets, automating data pipelines, or supporting senior data scientists with real-world business problems such as customer analytics or predictive modeling. Collaboration with both technical and non-technical teams is common, providing valuable exposure to the end-to-end data science workflow and opportunities to present your findings.

What is an Internship Python Data Science position?

An Internship Python Data Science position is an entry-level role designed for students or recent graduates to gain practical experience in data science using Python. Interns typically work under the supervision of experienced data scientists, assisting with data analysis, cleaning, visualization, and sometimes building machine learning models. They may also collaborate on real-world projects, learning to use tools and libraries like pandas, NumPy, scikit-learn, and Jupyter Notebook. This internship helps individuals develop technical and analytical skills while building a foundation for a career in data science.
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:
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What cities near Syracuse, NY are hiring for Internship Python Data Science jobs? Cities near Syracuse, NY with the most Internship Python Data Science job openings:
Internship Python Data Science jobs near you
Infographic showing various Internship Python Data Science job openings in Syracuse, NY as of June 2026, with employment types broken down into 53% Full Time, 6% Part Time, 35% Contract, and 6% Nights. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $46,249 per year, or $22.2 per hour.

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