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Internship Data Science Sports Betting Jobs (NOW HIRING)

... sports betting and gaming industry. Experience and Skills * 0-2 years proven experience in a data science or advanced analytics role. * Degree in a quantitative field, e.g., Mathematics, Physics ...

... sports betting and gaming industry. Experience and Skills * 0-2 years proven experience in a data science or advanced analytics role. * Degree in a quantitative field, e.g., Mathematics, Physics ...

Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area * Demonstrated experience developing models at production scale for Soccer , or sports betting for ...

Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area * Demonstrated experience developing models at production scale for NFL, CFB, or sports betting for ...

Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area * Demonstrated experience developing models at production scale for NFL, CFB, or sports betting for ...

Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area * Demonstrated experience developing models at production scale for NFL, CFB, or sports betting for ...

Tennis Data Scientist

San Francisco, CA · On-site +1

$135K - $190K/yr

Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area * Demonstrated experience developing models at production scale for Tennis or sports betting for 2+ ...

Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area * Demonstrated experience developing models at production scale for Tennis or sports betting for 2+ ...

Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area * Demonstrated experience developing models at production scale for Tennis or sports betting for 2+ ...

Knowledge of data science and machine learning concepts * A strong interest in sports and sports betting, with an emphasis on Tennis. An understanding of US-based sports including the NFL, NBA, MLB ...

Knowledge of data science and machine learning concepts * A strong interest in sports and sports betting, with an emphasis on Tennis. An understanding of US-based sports including the NFL, NBA, MLB ...

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

Knowledge of data science and machine learning concepts * A strong interest in sports and sports betting, with an emphasis on Tennis. An understanding of US-based sports including the NFL, NBA, MLB ...

This role will also manage and develop other data scientists. You will promote effective ... FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and ...

This role will also manage and develop other data scientists. You will promote effective ... FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and ...

This role will also manage and develop other data scientists. You will promote effective ... FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and ...

Sports Betting / Traders Department: Traders Employment Type: Full Time Location: Remote ... Key Responsibilities • Interpret data and develop recommendations based on findings • Develop ...

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Internship Data Science Sports Betting information

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

As of Aug 1, 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 an Internship Data Science Sports Betting, and why are they important?

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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What cities are hiring for Internship Data Science Sports Betting jobs? Cities with the most Internship Data Science Sports Betting job openings:
What are the most commonly searched types of Data Science Sports Betting jobs? The most popular types of Data Science Sports Betting jobs are:
What states have the most Internship Data Science Sports Betting jobs? States with the most job openings for Internship Data Science Sports Betting jobs include:
Infographic showing various Internship Data Science Sports Betting job openings in the United States as of July 2026, with employment types broken down into 2% Locum Tenens, 74% As Needed, 17% Full Time, 5% Part Time, and 2% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Other

Posted 7 days ago


Job description

About the Team

Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin.

We are seeking a Data Scientist I to join our growing Data Science organization on our newly formed Data Science team. The role reports into the Data Science Director and will focus on creating insight to drive the growth of the business, partnering closely with senior commercial stakeholders and their teams.

Supporting commercial and analytics stakeholders with high level Sportsbook & Casino strategy will be a top priority for this Data Scientist, as well as providing ongoing analysis and recommendations to stakeholders. 

Responsibilities

  • Develop a deep understanding of the iGaming ecosystem, encompassing both Sportsbook and Casino products, operations, and player behavior.
  • Build strong relationships with stakeholders across both Sports and Casino business units, serving as a key technical contributor to driving total commercial performance.
  • Collaborate with Data Scientists and Analysts to implement and refine scalable solutions for complex iGaming business problems.
  • Contribute to the development, deployment, and iterative improvement of automated personalization and promotion engines across the iGaming suite.
  • Remain current on technology, machine learning trends, and competitive shifts within the global sports betting and gaming industry.

Experience and Skills

  • 0-2 years proven experience in a data science or advanced analytics role.
  • Degree in a quantitative field, e.g., Mathematics, Physics, Statistics, Engineering, or Computer Science, Economics.
  • Strong SQL proficiency and strong proficiency in Python, with experience building and validating machine learning models.
  • Strong understanding of statistics concepts such as regression, clustering, and A/B testing in high-growth environments.
  • Demonstrated ability to partner with stakeholders, earning trust through data-driven insights and clear communication.
  • Outcome-oriented and data-driven; comfortable navigating fast-paced, high-growth environments.

Preferred but not required

  • Experience experimenting with Generative AI solutions (e.g., LLM-based analysis, automation, or insight generation) and identifying opportunities to apply them within a commercial analytics environment.
  • Previous experience in iGaming (Sportsbook or Casino) is a significant plus.
  • Expertise in experimental design and causal inference, including A/B/n testing, quasi-experiments, and uplift modeling to determine true incremental value.

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/