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Internship Data Science Sports Betting Jobs (NOW HIRING)

Fanatics Betting & Gaming

Quantitative Analyst I

Denver, CO · On-site

$64K - $91K/yr

... and data science. Your primary focus will be on analyzing sport & betting data, developing ... Internships or coursework related to quantitative finance or numerical modeling are a plus. Salary ...

New

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$145K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... Knowledge of data science and machine learning concepts * Professional working experience with MLB ...

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$145K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... Knowledge of data science and machine learning concepts * Professional working experience with MLB ...

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How much do internship data science sports betting jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for internship data science sports betting in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data science intern in sports betting?

To thrive as an intern in Data Science for Sports Betting, you need strong analytical skills, proficiency in statistics, and foundational knowledge of machine learning, often supported by coursework in data science, statistics, or mathematics. Familiarity with programming languages like Python or R, experience using data analysis tools such as Pandas, NumPy, and visualization libraries, and understanding of sports data sources are typical technical requirements. Critical thinking, attention to detail, and effective communication are key soft skills for interpreting data and presenting insights clearly. These skills and qualities are vital for generating actionable predictions and contributing to data-driven decision-making in the fast-paced sports betting industry.

What are the typical projects and responsibilities for a data science intern in a sports betting company?

As a Data Science intern in sports betting, you'll likely work on projects involving data collection, cleaning, and exploratory analysis of sports statistics. Typical responsibilities include building predictive models for game outcomes, evaluating betting odds, and visualizing trends to support business decisions. You'll collaborate closely with data engineers, analysts, and sometimes product or marketing teams to deliver insights. This role provides hands-on exposure to real-world datasets and the opportunity to apply machine learning techniques in a fast-paced, results-oriented environment.

What is an internship in data science for sports betting?

An Internship in Data Science for Sports Betting is a temporary, hands-on position where students or recent graduates work with sports betting companies to analyze data and develop predictive models related to sporting events. Interns typically use statistical techniques, machine learning, and programming skills to help improve betting odds, identify patterns, and optimize strategies. This role provides practical experience in both data science and the fast-paced sports betting industry, often involving collaboration with analysts and developers. Interns gain valuable insights into real-world data applications while contributing to business decisions. It's an excellent opportunity to build both technical and industry-specific skills.
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Internship Data Science Sports Betting jobs near you
Infographic showing various Internship Data Science Sports Betting job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Quantitative Analyst I

Fanatics Betting & Gaming

Denver, CO • On-site

$64K - $91K/yr

Full-time

Posted 2 days ago

New

Job description

Quantitative Analyst: Short Description for Internal Candidates
As a Quantitative Analyst, you'll operate at the intersection of sports trading, mathematics, and data science. Your primary focus will be on analyzing sport & betting data, developing predictive models, and assisting with trading decisions. You'll collaborate with senior quants, traders, engineers and product managers to continuously improve pricing efficiency and expand the range of betting odds generated by our proprietary trading platform and continuously improve our risk models & management strategy. You will apply mathematical and statistical techniques to solve complex problems. It is an exciting opportunity for professional development in a dynamic and fast-paced environment. This is a hybrid role, requiring 2-5 days per week in our Denver office.
Description for Internal Candidates
As a Quantitative Analyst, you'll operate at the intersection of sports trading, mathematics, and data science. Your primary focus will be on analyzing sport & betting data, developing predictive models, and assisting with trading decisions. You'll collaborate with senior quants, traders, engineers and product managers to continuously improve pricing efficiency and expand the range of betting odds generated by our proprietary trading platform and continuously improve our risk models & management strategy. You will apply mathematical and statistical techniques to solve complex problems. It is an exciting opportunity for professional development in a dynamic and fast-paced environment.
This is a hybrid role, requiring 2-5 days per week in our Denver office. No Visa sponsorship available.
 Responsibilities
As a Quantitative Analyst, your responsibilities will include
  • Model Development 
    • Assist in the development, implementation, training and testing of mathematical models for pricing & managing the risk of sport betting events.
  • Data Sourcing & Analysis 
    • Collect and clean sports-related data,
    • Analyze large datasets of play by play (simulated or historical) and betting data to identify patterns, trends, and correlations that can inform trading strategies.
  • Programming 
    • Use programming languages such as C# or Python to develop quantitative models, code and automate analytical processes, and perform data analysis tasks.
  • Collaboration 
    • Collaborate with senior quantitative analysts, traders & product managers to understand business requirements, implement solutions, and communicate findings effectively
    • Document and maintain clear and concise documentation of quantitative models, methodologies and analysis procedures for internal reference
  • Continuous Learning 
    • Stay abreast of developments in quantitative analysis & betting markets, and related fields through self-study & training
Qualifications
  • Bachelor's or Master's degree in Mathematics, Statistics, Computer Science, Finance, Economics, or a related quantitative field.
  • Outstanding mathematical, statistical and analytical skills.
  • Excellent work ethic and good team skills
  • Detail-oriented mindset with a commitment to producing high-quality work and adhering to best practices in quantitative analysis and research.
  • Strong understanding of more advanced machine learning techniques is a plus
  • Proficiency in at least one programming languages such as Python, C#, R, or C++ is a plus
Experience
  • While junior roles often don't require extensive experience, any exposure to financial markets, data analysis, or quantitative research is beneficial.
  • Internships or coursework related to quantitative finance or numerical modeling are a plus.
Salary range is listed in USD; ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. *Salary Range: $64,600 to $91,800 (Salary range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual Offer is confirmed). In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/

Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE-a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process.

For information about our benefits, please visit https://benefitsatfanatics.com/

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