1

Internship Python Data Science Jobs in Tennessee

Advanced ETL capabilities using SQL, Python, Snowflake, and AWS to data mine Aftersales business ... Professional Certifications in AI or Data Science are advantageous. * Experienced in development of ...

This position will report to the VP, Data Science with future direct reporting to the Director ... Python for machine learning model development and deployment, and SQL, Databricks & PySpark to ...

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ... Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ...

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ... Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ...

Data Scientist

Franklin, TN · Remote

$125K - $150K/yr

Fluency in Python and SQL (required); R (optional) * Demonstrated experience developing and ... Bachelor's degree in computer science, mathematics, data science, statistics, or a related ...

$61K - $85K/yr

Excellent verbal and written communication and presentation skills, including the ability to describe data science concepts to lay/nonexpert audiences required * Proficiency with Python (or R ...

This role combines advanced data science techniques with business partnership to identify ... Fluency in multiple analytical programming languages such as Python & SQL (required), R (optional)

At AutoZone, our Data Science team drives data-driven decision-making with a team of passionate and ... Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (Java, R, Python, SAS)

At AutoZone, our Data Science team drives data-driven decision-making with a team of passionate and ... Work with Python, SAS, and other analytic computing environments to handle big data. * Research and ...

next page

Showing results 1-20

Internship Python Data Science information

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 cities in Tennessee are hiring for Internship Python Data Science jobs? Cities in Tennessee with the most Internship Python Data Science job openings:
Data Scientist

Full-time

Medical, Retirement

Re-posted 6 days ago


Nissan Motor rating

6.4

Company rating: 6.4 out of 10

Based on 203 frontline employees who took The Breakroom Quiz

39th of 44 rated automakers


Job description

Location: Franklin, TN
Job Schedule: Hybrid 4 days week Onsite
Education Requirement: Bachelor's Degree
Sponsorship: No
Shape the Future of Mobility at Nissan: Launch Your Career, Drive Innovation
We're currently looking for a Data Scientist to join our team at our Nissan Americas HQ in Franklin, TN.
The Data Scientist drives the organization's advanced analytics, machine learning, and AI initiatives, transforming data into actionable insights that support business decision-making and innovation.
A Day in the Life:
  • Create and design technical solutions to meet business needs by translating end user's requirements and finding innovative, creative visualizations and tools. Must be capable of strategizing and brainstorming with the team to create a viable solution.
  • Develops complex data and predictive/prescriptive/AI analytics models and solutions.
  • Provide insights to the business and drive key learnings and recommendations using available internal and external data specifically around Service Retention and related KPI's.
  • Assist in development, maintenance and management of advanced reporting, analytics, dashboards and other BI solutions primarily using SQL, Python, Informatica Prep, Snowflake, AWS and Power BI.
  • Extracts, validates, and analyzes desired data using extraction tools.
  • Understand and utilize tools to store data effectively within the data mart or data lake solutions, online analytical processing, as well as maintaining data analytics platforms so that data can effectively be mined for information by the end user body.
  • Conduct end user tests and develop database queries to analyze the effects and troubleshoot any issues that arise.
  • Capable of participating in the ongoing iterative development process of the team's projects.
  • Participate in gathering requirements to improve existing systems from teams within the business to streamline workflow and processes.
  • Assist in documenting new processes, optimizations and terms in existing electronic data glossary.
  • Ability to balance multiple tasks simultaneously and transition between projects while working both independently and effectively in teams.
  • As necessary, perform other related duties of which the above are representative.

Who We're Looking for:
Job Knowledge and Skill:
  • Advanced analytical skills. Quantitative Analytics. Proficient in Machine Learning and programming languages. Automotive Aftersales Service Retention and Service Retention drivers or related knowledge preferred. Understanding of US Market and dealer Service operations preferred. Advanced ETL capabilities using SQL, Python, Snowflake, and AWS to data mine Aftersales business insights and create data pipelines to support business use-case execution Knowledge of NNA Systems preferred. Excellent written and oral communication skills.

Experience:
  • Hands on 5 to 7 years of Data Analytics experience with min 4 years of focus on Data Science experience required. Professional Certifications in AI or Data Science are advantageous.
  • Experienced in development of predictive analytics related to data-driven use-cases in a business vs. an IT role. Experience in designing effective data models, trend forecasts, and visualizations of analytics.
  • Proficient in Big Data management. Proficient in statistics. Proficiency in SQL / Python required. Relational database modeling fundamentals required. Experienced with ETL Self-Service Applications desired. Web Development is a plus.
  • Business, Aftersales, Purchasing, Service Marketing experience is preferred. Technical automotive parts experience beneficial.

Education:
Bachelor's degree in Information Technology/Computer Science, Mathematics/Statistics, Analytics, Business Technology or related field required. Master's degree preferred.
What You'll Look Forward to at Nissan:
Career Growth and Continuous Learning Opportunities: Benefit from diverse career paths, cross-departmental moves, and innovative learning platforms. Enhance your skills through seminars, leadership training, and tuition reimbursement programs, all while playing a vital role in shaping the future of transportation. From day one, you'll have the support to tackle challenges and contribute to impactful solutions across our organization.
Rewards: Be supported with a Comprehensive Benefits Package, including medical, mental health, parental leave, retirement savings & unique Nissan perks, including discounts on lease vehicles as part of our Employee Lease Program and a Vehicle Purchase Program (VPP). For more information, access our Nissan Benefits Overview Guide.
Nissan is committed to a drug-free workplace. All employment is contingent upon the successful completion of drug and background screenings in accordance with Nissan policies and in compliance with federal, state, and local laws, including the California Fair Chance Act and the Los Angeles County Fair Chance Ordinance. Nissan will consider qualified candidates with arrest or conviction records for employment in a manner consistent with these laws.
It is Nissan's policy to provide Equal Employment Opportunity (EEO) to all persons regardless of race, gender, military status, disability, or any other status protected by law. Candidates for this position must be legally authorized to work in the United States and will be required to provide proof of employment eligibility at the time of hire; Nissan uses E-Verify to validate employment eligibility.
NISSAN FOR EVERYONE
People are our most valuable assets, and diversity and inclusion are the key to maximizing the power of each individual member of our team. When everyone belongs, the power of NISSAN is undeniable. Our Corporate Diversity Initiative aims to improve business results by ensuring that our workplace and core businesses meet the unique needs of our employees and customer base.
Nissan is committed to creating a culture where everyone belongs and employees, customers, and partners feel respected, valued, and heard. We have over 10 Business Synergy Teams (BSTs) across the U.S. and Canada that connect employees - with shared characteristics or interests - build allies, and foster a company culture where all employees feel supported and included.
Nissan also values inclusion in all areas of our business as we strive to mirror the diversity of our customer base and the communities where we do business. We are committed to procuring innovative goods and services, retailing our products and communicating from a diverse perspective which will help us continue to offer our customers competitively designed, market-driven products.
Join us as we carry our commitment to diversity and inclusion into the future.
Franklin Tennessee United States of America

What Nissan Motor employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom