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Python Data Analysis Internship Jobs in Orem, UT

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Data Engineer IV - AI & Data Products

Draper, UT

$107K - $128K/yr

... Analysts, Data Scientists and AI use cases/agents. * Create and maintain data domain assets (pipelines/ETLs, sematic models and other assets) using Python, SQL, and other approved tools. * Build high ...

NextDeavor Inc.

BI Developer 3

Lehi, UT · On-site

$52 - $56.33/hr

... analytics, and engineering teams Document processes, data models, and reporting standards Skills: Power BI Tableau SQL Server / T-SQL Data Modeling ETL Development Databricks Python Data Warehousing ...

Nature's Sunshine Products

Analytics Engineer

Lehi, UT · On-site

... analysis. * Ability to translate business requirements into clear, maintainable data structures ... Experience with Python, data quality testing, version control, CI/CD, or other practices that ...

Nature's Sunshine Products

Analytics Engineer

Lehi, UT · On-site

... analysis. * Ability to translate business requirements into clear, maintainable data structures ... Experience with Python, data quality testing, version control, CI/CD, or other practices that ...

KēSTA I.T.

Data Scientist

Lehi, UT

$120K - $145K/yr

Perform exploratory data analysis, generate hypotheses aligned to business goals, test models, and ... Proficiency in predictive modeling using Python and/or R * Experience working with relational ...

Patientco

Data Scientist

Lehi, UT

Interacts with product and service teams to identify questions and issues for data analysis and ... Demonstrated competency in R/Python predictive modeling * Demonstrated competency in RDBMS (e.g.

Crew Career Center

Data Scientist

Lehi, UT

Interacts with product and service teams to identify questions and issues for data analysis and ... Demonstrated competency in R/Python predictive modeling * Demonstrated competency in RDBMS (e.g.

Waystar

Data Scientist

Lehi, UT · On-site

Interacts with product and service teams to identify questions and issues for data analysis and ... Demonstrated competency in R/Python predictive modeling * Demonstrated competency in RDBMS (e.g.

swirecc

Data Scientist

Draper, UT

Swire Pacific Holdings, Inc. DBA Swire Coca-Cola, USA seeks a Data Scientist to conduct data ... with Python; experience with PySpark; experience with Statistical Analysis; experience with ...

swirecc

Data Scientist

Draper, UT · On-site

Swire Pacific Holdings, Inc. DBA Swire Coca-Cola, USA seeks a Data Scientist to conduct data ... with Python; experience with PySpark; experience with Statistical Analysis; experience with ...

swirecc

Data Scientist

Draper, UT

Swire Pacific Holdings, Inc. DBA Swire Coca-Cola, USA seeks a Data Scientist to conduct data ... with Python; experience with PySpark; experience with Statistical Analysis; experience with ...

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Python Data Analysis Internship information

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

As of Jun 20, 2026, the average hourly pay for python data analysis internship in Orem, UT is $19.56, according to ZipRecruiter salary data. Most workers in this role earn between $15.05 and $21.30 per hour, depending on experience, location, and employer.

What is a Python Data Analysis Internship?

A Python Data Analysis Internship is a temporary position, often for students or recent graduates, that provides hands-on experience in analyzing data using the Python programming language. Interns typically assist with collecting, cleaning, and interpreting large datasets, using Python libraries such as pandas, NumPy, and matplotlib. The internship is designed to help participants develop practical skills in data manipulation, statistical analysis, and data visualization. It is a great way to gain real-world experience in data science and analytics while building a professional network.

What are the key skills and qualifications needed to thrive as a Python Data Analysis Intern, and why are they important?

To thrive as a Python Data Analysis Intern, you need a solid understanding of statistics, data manipulation, and Python programming, often supported by relevant coursework or projects. Familiarity with tools such as pandas, NumPy, Jupyter Notebook, and data visualization libraries like matplotlib or seaborn is typically required. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and share insights clearly with team members. These skills enable interns to extract actionable insights from complex datasets and effectively contribute to data-driven decision making.

What is the difference between Python Data Analysis Internship vs Data Analyst?

AspectPython Data Analysis InternshipData Analyst
Required SkillsPython, data analysis, basic statisticsData analysis, SQL, Excel, Python (optional)
Work EnvironmentInternship setting, learning-focusedFull-time or part-time professional role
Experience LevelEntry-level, internshipEntry to mid-level professional
Industry UsageInternship programs, entry rolesBusiness, finance, tech, healthcare

While a Python Data Analysis Internship focuses on gaining hands-on experience with Python and data analysis tools in an internship setting, a Data Analyst role involves applying these skills professionally to analyze data, generate reports, and support decision-making in various industries.

What types of projects and tasks can I expect to work on during a Python Data Analysis Internship?

As a Python Data Analysis intern, you can typically expect to work on projects involving data collection, cleaning, and exploration using Python libraries such as Pandas and NumPy. Your daily tasks may include writing scripts to automate data processing, creating visualizations with tools like Matplotlib or Seaborn, and assisting in preparing reports or presentations based on your findings. Interns often collaborate with data scientists, analysts, and sometimes other departments to support ongoing projects and gain exposure to real-world data challenges. This hands-on experience is valuable for building both technical skills and an understanding of how data-driven decisions are made in a professional environment.
What are the most commonly searched types of Python Data Analysis jobs in Orem, UT? The most popular types of Python Data Analysis jobs in Orem, UT are:
What are popular job titles related to Python Data Analysis Internship jobs in Orem, UT? For Python Data Analysis Internship jobs in Orem, UT, the most frequently searched job titles are:
What job categories do people searching Python Data Analysis Internship jobs in Orem, UT look for? The top searched job categories for Python Data Analysis Internship jobs in Orem, UT are:
Python Data Analysis Internship jobs near you

Senior Data Analyst - Fraud Strategy & Operations

Raisin

Lehi, UT • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago

Job description

Raisin is the world's leading platform for savings and investment products. Founded in 2012, the FinTech connects consumers with banks in the EU, the UK and the US. This gives consumers better interest rates and banks a diversified form of refinancing. Our vision is to offer savings and investments without barriers and thus open up the global 160 trillion euro market.
Raisin currently employs more than 800 people from over 75 countries worldwide. Today, the platform holds over 80 billion euros in assets from more than one million investors which have accrued over 5 billion euros in returns.
Team
The Risk and Fraud Operations team plays a central role in safeguarding Raisin's business by monitoring, assessing, and mitigating risks across all operational areas. We are responsible for managing fraud prevention, detection and mitigation, investigations and recoveries, monitoring for financial crime events (AML, KYC) and implementing effective risk controls to support the company's growth. Our work bridges business, compliance, and technology-analyzing data, processes, and transactions to identify potential threats while also enabling smooth and secure customer experiences.
We collaborate closely with cross-functional teams (Product, Compliance, Customer Service, and Engineering) to design and execute risk and fraud management frameworks, enhance operational efficiency, and maintain a strong culture of accountability.
Your ResponsibilitiesAs the Senior Data Analyst - Fraud Strategy & Operations, you will be the driving force behind our fraud defense system. We are looking for a proven analytical mind from the financial services sector who can challenge our current thinking, build predictive fraud models, redesign existing fraud models, framework and processes. Using SQL, Python/R Ecosystems, Feature Engineering, you will dissect fraud trends, build predictive models from scratch, and implement sharp, real-time rules to prevent and detect fraud across our payment rails.
This role reports to the Head of Risk and Fraud Operations and requires a highly capable and entrepreneurial individual who can balance deep technical hands-on execution with high-level strategy.
  • Advanced Fraud Strategy & Analytics- Uncover Trends: Conduct complex data analysis using SQL, Python and Feature Engineering to proactively identify emerging fraud patterns and system vulnerabilities before they impact the platform.
    - Deploy Fraud Rules: Design, test, and implement robust fraud prevention rules that successfully catch bad actors while maintaining a seamless experience for real customers.
    - Drive Strategy: Elevate Raisin US's capabilities by introducing industry best practices, new methodologies, and innovative fraud prevention strategies that we aren't using today.
    - KPIs & Dashboards: Build out data-driven dashboards to track fraud metrics, losses, and mitigation performance, presenting actionable findings directly to leadership.
  • Model Development & Maintenance- Build Predictive Models: Design, build, and deploy machine learning and predictive models utilizing Python to detect anomalies across the entire customer journey (onboarding, funding, and money movement).
    - Feature Engineering: Develop model features based on identity, device, behavioral, and transactional data.
    - Cross-Functional Delivery: Partner closely with Product and Engineering to integrate these models into our real-time production pipelines.
  • AML & Financial Crime Collaboration- Risk Profiling: Partner with the Compliance team to enhance customer risk profiling, transaction monitoring, and KYC/AML workflows.
    - Design low-friction, custom risk rules for identity verification, account takeover protection, and transaction monitoring.
    - Continuous Back-Testing: Routinely stress-test current rules against changing regulatory standards and evolving financial crime tactics.

Your Profile
  • Financial Services Background: 8+ years of experience in fraud risk management, analytics, or financial crime specifically within fintech, retail banking, or digital payments.
  • Master of Analytics: Exceptional analytical capabilities are your biggest asset. You love diving into raw data to solve complex puzzles.
  • Technical Stack: Highly proficient in SQL and Python for data manipulation, analytics, and building predictive models. Experience building out fraud dashboards is a must.
  • Payment System Domain Expertise: Deep understanding of Deposits and ACH is required; direct experience with modern instant payment systems like RTP and FedNow is highly preferred.
  • Rule & Model Builder: Proven track record of designing custom fraud rules and deploying machine learning or statistical models in a live environment.

Join our mission, join our team - and grow with us!
At Raisin, we care about each other and it is one of our top priorities to foster an open and caring environment in which everyone feels welcome and comfortable. Our culture is strongly driven by our ambitious team, which connects more than 75 different nationalities.
As part of our team, you will benefit from:
  • Flexible working hours and up to 28 days PTO accrued from your first month, plus 13 public holidays.
  • Employee Development Budget of $2,200 and 4 full training days per year.
  • Company 401k contribution of 5%.
  • Healthcare coverage contribution, including medical, dental and vision.
  • Commuter benefits and flexible working from home policy.
  • Regular team events and yearly Summer and Winter Party.

Salary Range
$120,000-$140,000 USD
Raisin Applicant Privacy Policy
We value diversity and the unique experiences each individual brings. If you're excited about this role but don't meet every requirement, we still encourage you to apply.
We are an equal opportunity employer and are committed to creating an inclusive environment for everyone, regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.

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