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Intern Python Data Science Jobs in Bixby, OK (NOW HIRING)

... Science, Data Science, Business or a related field and a minimum of 6 years of experience in ... Highly developed SQL skills and experience with Python and reporting technologies (Power BI ...

Digital Analyst Internships

Broken Arrow, OK ยท On-site

$83K - $98K/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 ...

Digital Analyst Internships

Tulsa, OK ยท On-site

$86K - $102K/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 ...

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 ...

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 ...

As a Software Engineering Intern at Danaher, you'll work alongside experienced engineers developing ... Writing and debugging code in languages such as C#, Java, Python, or C++ * Participating on an ...

As a Software Engineering Intern at Danaher, you'll work alongside experienced engineers developing ... Writing and debugging code in languages such as C#, Java, Python, or C++ * Participating on an ...

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Intern Python Data Science information

See Bixby, OK salary details

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

As of Jul 22, 2026, the average hourly pay for intern python data science in Bixby, OK is $20.71, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $22.55 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 is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to optimize model performance and efficiency.

What is the salary of Python intern?

The salary of a Python intern typically ranges from $15 to $25 per hour, depending on the location, company, and level of experience. Interns often receive stipends or hourly wages and may also gain valuable skills in Python programming, data analysis, and tools like Jupyter Notebook or Pandas during their internship.

Is 30 dollars an hour good for an internship?

For an intern in Python Data Science, earning $30 an hour is above average, as many internships pay between $15 and $25 per hour. This rate reflects the specialized skills in programming, data analysis, and tools like Python and Jupyter notebooks, and may indicate a more competitive or advanced internship position.

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.

Is 30 too late for data science?

Age is not a barrier to becoming a data science intern; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming in Python, understanding statistics, and working with tools like Jupyter or SQL, regardless of age.
Data Product Owner - Fraud

Data Product Owner - Fraud

BOK Financial

Tulsa, OK โ€ข On-site

Other

Posted 20 hours ago


Job description

Req ID:ย 78017ย 

Location:ย Dallas -DAL, Oklahoma City -OKC, Tulsa -TULย 

Areas of Interest:ย Data; Enterprise Data; Information Technology; Risk Managementย 

Pay Transparency Salary Range:ย Not Availableย 

Application Deadline:ย 07/31/2026

BOK Financial Corporation Group includes BOKF, NA; BOK Financial Securities, Inc. and BOK Financial Private Wealth, Inc. BOKF, NA operates TransFund and Cavanal Hill Investment Management, Inc. BOKF, NA operates banking divisions: Bank of Albuquerque; Bank of Oklahoma; Bank of Texas and BOK Financial.

Bonus Type
Discretionary
Summary

The Fraud Data Product Owner is a newly created role at the center of a major enterprise initiative to transform how we detect and prevent fraud. This team is a part of building the bank's next-generation data foundation-bringing together fragmented fraud data into a single, modern ecosystem that delivers immediate loss prevention outcomes while enabling long-term fraud resilience.

This role sits at the intersection of fraud, data, and product-partnering closely with fraud leaders and data engineering teams to define, prioritize, and deliver data products that directly impact fraud detection, decisioning, and operational efficiency. If you've worked in fraud, financial crimes, or AML and enjoy solving complex problems through data, this is a unique opportunity to help shape something from the ground up.

Job Description

In this role, you'll own the vision and roadmap for fraud-related data products within a broader Enterprise Data Product program. You'll act as the bridge between fraud business teams and data/technology teams-ensuring the right problems are being solved and that solutions are usable, scalable, and impactful.

You'll gather and translate business needs into clear product requirements, prioritize a backlog of work based on risk and business value, and partner with data engineering teams through development, testing, and delivery. This includes helping guide the integration and optimization of fraud platforms and ensuring data accuracy, usability, and governance standards are met.

Success in this role requires both fraud domain knowledge and comfort working with data-being able to review outputs, validate logic, and confidently guide teams toward the best solutions. You'll also play a key role in modernization efforts, helping migrate and unify data into a centralized environment that enables stronger analytics, reporting, and decisioning across the enterprise.

Team Culture

You'll be part of a highly collaborative, build-focused environment where fraud, risk, and data teams work side by side to solve real problems. This is a hands-on, partnership-driven team-success comes from open dialogue, shared ownership, and the ability to challenge thinking in a constructive way.

The team values people who are curious, solutions-oriented, and confident in their perspective-especially those who can push for the right outcomes while maintaining strong relationships across functions. Because these roles are newly created, you'll also have the opportunity to help shape processes, influence direction, and leave a visible mark on a high-priority enterprise program.

How You'll Spend Your Time
  • Defining fraud data product strategy, roadmap, and priorities aligned to loss prevention and operational efficiency goals
  • Partnering with fraud, risk, and business leaders to gather requirements and translate them into actionable product backlogs
  • Collaborating with data engineering and scrum teams to guide development, validate outputs, and ensure solutions meet business needs
  • Evaluating data quality, usability, and performance-continuously improving products based on feedback and outcomes
  • Driving key initiatives tied to fraud data modernization, including platform integration and centralized data enablement
Education & Experience Requirements

This level of knowledge is normally acquired through completion of a Bachelor's Degree in Computer Science, Data Science, Business or a related field and a minimum of 6 years of experience in product management, preferably in data products, or equivalent combination of education and experience.

  • Highly developed SQL skills and experience with Python and reporting technologies (Power BI, Tableau, etc.)
  • An understanding of data governance and master data management and their role in data integrity and mastered data products.ย 
  • Demonstrated Product Management ability including utilizing an agile framework to lead a team in the delivery of data products.ย 
  • Excellent leadership skills including alignment with BOKF core values. Proven ability to manage priorities across business units and lines of authority.ย 
  • Excellent verbal and written communication skillsย used across all levels of an organization. Ability to build strong business and team partnerships is essential.
  • Proven track record of successfully supporting and managing projects with business leaders, including financial acumen.
  • Advanced analytical and problem-solving skills; must be able to independently solve complex problems and identify solutions.ย ย 
  • Excellent analytical and organizational skills, with strong aptitude to collect and analyze complex problems that include interrelationships and dependencies in order to formulate effective solutionsย 
  • Experience developing joint solutions and/or completing data integrations with external partnersย 
  • Proven ability to balance multiple competing priorities and make judgment calls based on objective informationย 

BOK Financial Corporation Groupย is a stable and financially strong organization that provides excellent training and development to support building the long term careers of employees.ย With passion, skill and partnership you can make an impact on the success of the bank, customers and your own career!ย ย 
Apply todayย and take the first step towards your next career opportunity!
The companies in BOK Financial Corporation Group are equal opportunity employers.ย  We are committed to providing equal employment opportunities for training, compensation, transfer, promotion and other aspects of employment for all qualified applicants and employees without regard to sex, race, color, religion, national origin, age, disability, pregnancy status, sexual orientation, genetic information or veteran status.

Please contactย recruiting_coordinators@bokf.comย with any questions.ย