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Sports Data Science Internship Jobs (NOW HIRING)

... Data Science Director to help shape our Risk & Trading team at America's #1 Sportsbook. The role ... The role requires a strong knowledge of sports betting proven management experience. You will be a ...

Data Science Engineer

Milwaukee, WI · On-site

$77K - $108K/yr

Provides guidance and best practice advice to data science interns. Qualifications * Bachelor's Degree required; Master's degree in Data Science, Computer Science, Software Engineering or similar ...

This area provides data science support for internal business partners at State Farm, including ... Lead/mentor other data scientists, interns, and other technical work teams * Make strategic ...

The Data Science Manager will own pricing and risk strategy while leading a team of analysts and data scientists to optimize pricing initiatives across various sports and esports. Responsibilities ...

Computer Science Internship

College Park, MD · On-site

$19 - $25/hr

Computer Science Intern Location: College Park, Maryland (across the street from campus) Who We Are ... Analyze and interpret data to generate insights and support decision-making. * Work on cross ...

Computer Science Intern Location: College Park, Maryland (across the street from campus) Who We Are ... Analyze and interpret data to generate insights and support decision-making. * Work on cross ...

Master's Degree Required - Data Scientist Summer Internship - starting June 2027 At AlixPartners ... Must be enrolled in a master's degree program in Business Analytics, Computer Science, Data Science ...

New

Computer Science Intern Location: College Park, Maryland (across the street from campus) Who We Are ... Analyze and interpret data to generate insights and support decision-making. * Work on cross ...

Interns leave with a strong understanding of industry-standard data science practices and potential references for your career.

Lead and leverage sport science interns to maximize data science efficiency and grow the department. * Provide insights into workload trends, performance benchmarks, return-to-play indicators, and ...

Data Science Engineer

Austin, TX · Hybrid

$65 - $69.72/hr

Data Science Engineer Job Details * Data Science Engineer (Contract) * Location: Austin TX, 78758 ... This role is not suitable for entry-level candidates or interns. Compensation: * $65.00 to $69.72 ...

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Sports Data Science Internship information

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

As of Jul 8, 2026, the average hourly pay for sports data science internship 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 is a Sports Data Science Internship?

A Sports Data Science Internship is a temporary position that allows students or recent graduates to gain hands-on experience applying data science techniques to sports-related problems. Interns typically work with data from games, athletes, or teams to analyze performance, develop predictive models, and support decision-making in sports organizations. This role often involves using programming languages like Python or R, working with large datasets, and collaborating with coaches or analysts. Interns may also assist in visualizing data and presenting insights to help improve team strategies or player development.

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

To thrive as a Sports Data Science Intern, strong quantitative skills, a background in statistics or data science, and experience with sports analytics are generally required. Familiarity with programming languages such as Python or R, data visualization tools, and knowledge of sports data platforms or databases is typical. Strong problem-solving abilities, attention to detail, and effective communication help interns stand out in team settings. These skills are crucial for analyzing complex sports data, generating actionable insights, and effectively conveying findings to coaches and decision-makers.

What types of projects or tasks can I expect to work on during a Sports Data Science Internship?

As a Sports Data Science Intern, you can expect to work on projects such as analyzing player performance data, building predictive models for game outcomes, and cleaning large datasets for use in analytics. Interns often collaborate with data scientists, coaches, and performance analysts to translate raw data into actionable insights. You'll likely use programming languages like Python or R and get exposure to sports-specific analytics software, providing valuable hands-on experience that can help launch your career in sports analytics.

What is the difference between Sports Data Science Internship vs Sports Data Analyst?

AspectSports Data Science InternshipSports Data Analyst
Required CredentialsRelevant coursework, basic programming skillsDegree in statistics, data science, or related field
Work EnvironmentInternship programs, sports teams, analytics companiesFull-time roles in sports organizations, analytics firms
Employer & Industry UsageEntry-level, training-focused positions in sports analyticsProfessional, ongoing data analysis roles in sports

The Sports Data Science Internship is an entry-level, training-focused position designed for students or recent graduates gaining experience in sports analytics. In contrast, a Sports Data Analyst is a full-time professional role requiring more experience and specialized skills. Internships provide foundational exposure, while analysts handle ongoing data projects in sports organizations.

More about Sports Data Science Internship jobs
What cities are hiring for Sports Data Science Internship jobs? Cities with the most Sports Data Science Internship job openings:
What states have the most Sports Data Science Internship jobs? States with the most job openings for Sports Data Science Internship jobs include:
Infographic showing various Sports Data Science Internship job openings in the United States as of July 2026, with employment types broken down into 18% Internship, 56% Full Time, 18% Part Time, 5% Temporary, and 3% Contract. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.
Risk Data Science, Director

Risk Data Science, Director

FanDuel

Jersey City, NJ • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago


FanDuel rating

8.9

Company rating: 8.9 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

2nd of 15 rated gambling companies


Job description

THE POSITION
Our roster has an opening with your name on it

FanDuel is looking for a Risk Data Science Director to help shape our Risk & Trading team at America's #1 Sportsbook. The role will include evolving customer and revenue outcomes through profiling and automation, owning the risk operating model, and ensuring a consistent, scalable approach to risk management across regions. You will leverage cutting edge tools and subject-matter expertise to ensure a best-in-class betting experience for our customers.  

The role requires a strong knowledge of sports betting proven management experience. You will be a key member of the Risk & Trading leadership team, partnering closely with Trading, Quants, Analytics, Product, Compliance, and Growth team leaders to define priorities, drive cross-functional execution, and continuously improve how we manage risk. The role requires comfort operating in a fast-moving environment and will include work outside of normal business hours, including weekends. 

In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.

THE GAME PLAN
Everyone on our team has a part to play

Lead the Risk Data Science team 

  • Manage and develop a team of data scientists focused on customer risk profiling, anomaly detection, and risk automation across regions (e.g., Dublin/Melbourne/NJ), including hiring, onboarding, and long-term capability building. 
  • Set clear priorities, ensure role clarity, and drive measurable outcomes across the team. 
  • Build a culture of continuous improvement and accountability, focused on best-in-class technical standards and practices. 

Drive risk data science strategy and execution 

  • Develop and drive risk data science strategy across Sportsbook aligned to business and product goals (revenue, margin, customer outcomes, responsible gaming, compliance). 
  • Partner with data engineering to modernize data infrastructure, reduce tech debt, and build scalable pipelines. Advance automation throughout risk operations. 
  • Support the risk operating model, including governance, decision forums, escalation mechanisms, and performance management cadence, with an eye toward improving inefficiencies. 
  • Establish clear, communicated policies and standards across regions (risk tolerance, profiling, errors, mitigation actions), ensuring consistent interpretation and execution. 
  • Develop strategies to derive and apply insights from bet information to improve pricing accuracy 

Deliver measurable business outcomes 

  • Quantify the commercial impact of risk data science work - connect models and analyses to revenue, margin, and customer outcomes. 
  • Own delivery and adoption of enhancements to profiling strategies, segmentation, monitoring, and interventions-balancing performance with customer-first principles. 
  • Define success metrics and create consistent performance reporting for risk data science initiatives. 

Cross-functional leadership 

  • Serve as the primary risk data science partner to Risk Operations, Trading, Growth, Product, and Compliance teams. 
  • Work closely with the broader Sportsbook data science organization to leverage shared data, models, and tooling. 
  • Contribute to broader business initiatives (e.g., new state rollouts, new product or promotion launches), ensuring risk readiness and operational scalability. 
  • Provide strong thought leadership and communication across the department and broader organization, translating complex risk topics into clear executive narratives. 

THE STATS
What we're looking for in our next teammate

  • Significant experience in the sports betting or online gambling industry - deep understanding of sportsbook economics, pricing, customer behavior, risk management, and the competitive landscape. 
  • Proven experience leading data science or analytics teams (5+ direct/indirect reports) with a strong technical background in statistical modeling, machine learning, and computer science. 
  • Demonstrated ability to quantify and communicate the commercial impact of analytical work - connecting models to revenue, margin, and customer outcomes. 
  • Experience working with data engineering teams to build and maintain production data pipelines; familiarity with Databricks, Python, SQL, and modern data science tooling. 
  • Strong stakeholder management skills with the ability to influence across Trading, Product, Tech, Compliance, and Growth team leadership. 
  • Experience with customer profiling, segmentation, automation, or fraud detection 
  • Experience working with live sports data 
  • Collaborative, low-ego leadership style; role-models FanDuel values and builds trust across functions. 

ABOUT FANDUEL

FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America's #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry's unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.  

In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.

The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company's affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.

FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).

PLAYER BENEFITS
We treat our team right

We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits, pet insurance, and more - check out all our benefits here: FanDuel Total Rewards. *Benefits differ across location, role, and level.

FanDuel is an equal opportunities employer and we believe, as one of our principles states, "We are One Team!". As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.

FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email Benefits@fanduel.com.

The applicable salary range for this position is $197,000 - 246,000 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

#LI-Hybrid


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