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Intern Python Data Science Jobs in Oklahoma (NOW HIRING)

Currently, We are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, Data analysts/ Data Scientists. We welcome candidates with all visas and citizens to apply. Who ...

$13 - $17.50/hr

... data to build insights for Mining, Infrastructure and Construction industry. Our applied science ... INTERN

This role combines traditional data science (forecasting, LTV modeling, experimentation validation ... Python (preferred) or R * SQL / BigQuery (GCP ecosystem) * Work with modern AI tooling: * LLM APIs ...

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Intern Python Data Science information

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 Oklahoma? The most popular types of Python Data Science jobs in Oklahoma are:
What are popular job titles related to Intern Python Data Science jobs in Oklahoma? For Intern Python Data Science jobs in Oklahoma, the most frequently searched job titles are:
What cities in Oklahoma are hiring for Intern Python Data Science jobs? Cities in Oklahoma with the most Intern Python Data Science job openings:
Data Scientist

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago


Love's Travel Stops rating

5.8

Company rating: 5.8 out of 10

Based on 776 frontline employees who took The Breakroom Quiz

425th of 717 rated retailers


Job description

This is an onsite role located in OKC. Applicants must be legally authorized to work in the United States. We do not provide sponsorship for employment visas now or in the future. 

Benefits: * Fuel Your Growth with Love's - company funded tuition assistance * Paid Time Off * 401(k) – 100% Match up to 5% * Medical/Dental/Vision Insurance the first of the month after 30 days * Competitive Pay * Career Development *  

Welcome to Love's: The Data Scientist plays a critical role in advancing Love’s customer analytics capabilities by driving deep understanding of customer behavior, loyalty, and lifecycle dynamics. As part of Analytics team, this role develops advanced machine learning and analytical solutions that shape customer strategy and influence key business decisions across the organization.

Job Functions:

  • Drive Strategic Decision-Making through Customer Insights
    • Analyze customer behavior across channels to identify trends, patterns, and opportunities for growth
    • Develop and maintain customer segmentation and personas to support targeted strategies
    • Work closely with CX Research team to synthesize both qualitative and quantitative data
    • Provide insights into customer lifecycle dynamics, including acquisition, engagement, and retention
  • Develop Advanced Analytics Solutions
    • Design and deploy predictive models (forecasting, segmentation, optimization)
    • Utilize statistical languages (R, Python, SAS) to manipulate data and draw insights from large data sets
    • Apply statistical and machine learning techniques to solve complex business problems and improve targeting
    • Enable AI-driven workflows and scalable decision-support tools
    • Develop processes and tools to monitor and analyze model performance and data accuracy
  • Enable Loyalty Marketing & Growth Strategies
    • Evaluate the performance and effectiveness of loyalty programs and promotional initiatives
    • Measure customer engagement, program adoption, and incremental impact on spend and visits
    • Generate recommendations to enhance program design and customer experience
  • Improve Efficiency Through Automation
    • Streamline and automate reporting and analytical workflows
    • Work with data engineering to build scalable data products that reduce manual effort and improve speed to insight
    • Support the creation and maintenance of a customer data platform to enable a unified customer view
    • Identify opportunities to apply AI across both new and existing work
  • Communicate Insights Clearly
    • Develop a deep understanding of Love’s business, including products, customers, and performance drivers
    • Create compelling visualizations and presentations for cross-functional stakeholders
    • Deliver insights and recommendations in a clear, concise manner using meaningful visualizations that allows for business understanding and action

Experience and Qualifications:

  • BA/BS minimum, Masters preferred, in a relevant field, such as business analytics, mathematics, statistics, finance, economics, management information systems, computer science, engineering or other quantitative fields
  • 3+ years experience preferred in analytics, data science or related field
  • Experience with data analysis, statistical modeling, or machine learning

Skills and Physical Demands: 

  • Proficiency querying data from relational databases using SQL
  • Competency using R, Python, or other similar statistical software to develop analytical solutions
  • Experience with data wrangling, data cleaning and prep
  • Awareness of Big Data concepts, tools, and architecture
  • Data modelling and business analytics experience
  • Excel proficiency including simple formulas and pivot tables
  • Understanding of data warehouse principles and database structures
  • Ability to develop clear, impactful visualizations using Power BI, Tableau, or similar tools
  • Experience applying AI tools to improve efficiency, automation, and analytical output
  • Natural curiosity that welcomes and embraces change and willingness to try new things
  • Excellent written, oral and interpersonal skills
  • Ability to devise an analytical approach to solving business problems
  • Expertise in translating data into business insights and recommendations
  • Demonstrated ability to explain and simplify complex analytics for a wide range of audiences
  • Work effectively within a team-oriented and collaborative environment
  • Keen attention to detail
  • Highly motivated self-starter
  • Requires prolonged sitting, some bending and stooping
  • Occasional lifting up to 25 pounds
  • Manual dexterity sufficient to operate a computer keyboard and calculator
  • Requires normal range of hearing and vision
  • Travel required as needed
  • On-call availability

Must be authorized to work in the U.S. without sponsorship 

#LI-Onsite

Our Culture: 

Fueling customers' journeys since 1964, innovation leads the way for this family-owned and operated business headquartered in Oklahoma City. With nearly 40,000 team members, travel stops are the core business along with products and services that provide value for professional drivers, fleets, traveling public, RVers, alternative energy and wholesale fuel customers. Giving back to communities and an inclusive workplace are hallmarks of the award-winning culture.

Love's is an Equal Opportunity Employer. Veterans encouraged to apply.


What Love's Travel Stops employees say

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