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

Reli Group Inc

Power BI Intern

Syracuse, NY

$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

$97.30K - $115.10K/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 ...

SynergisticIT

Java Developer with Cloud

Syracuse, NY · On-site

... data Science/Data Analyst/AI/Machine learning Positions Preferred SKILLS Associate or Bachelors ... Python, Computer Vision, data visualization tools Candidates lacking technical skills or relevant ...

FocusKPI

Marketing Operations Analyst

Syracuse, NY

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 ...

INFICON

Supply Chain Analytics Manager

East Syracuse, NY · On-site

$90K - $130K/yr

Experience with Python or R. * Master's degree (MBA, MS in Supply Chain, Data Science, or Engineering). * Certifications such as APICS CPIM/CSCP, SAP SCM certification, or Lean Six Sigma. Additional ...

INFICON

Supply Chain Analytics Manager

East Syracuse, NY

$90K - $130K/yr

Experience with Python or R. * Master's degree (MBA, MS in Supply Chain, Data Science, or Engineering). * Certifications such as APICS CPIM/CSCP, SAP SCM certification, or Lean Six Sigma. Additional ...

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

As of May 28, 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:
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Intern Python Data Science jobs near you

Machine Learning Engineer

Futran Tech Solutions Pvt. Ltd.

Syracuse, NY • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Title - Machine Learning Engineer
Location - Syracuse, NY (Onsite)
Visa - Any visa
JD:
• Designing predictive models for self-running artificial intelligence (AI) software.
• Transforming data science prototypes and applying appropriate ML algorithms and tools.
• Ensuring that algorithms generate accurate user recommendations.
• Turning unstructured data into useful information
• Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
• Developing ML algorithms to analyze huge volumes of historical data to make predictions.
• Running tests, performing statistical analysis, and interpreting test results.
• Documenting machine learning processes.
Tools and frameworks:
• Advanced proficiency with Python, Java, and R code writing.
• Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
• In-depth knowledge of mathematics, statistics, and algorithms.

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