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Summer Formula 1 Data Science Jobs (NOW HIRING)

Optimize Partners

Director, Data Science

New York, NY · Hybrid

One of our clients, a fast growing FinTech company that provides an online marketplace for commercial loans to small businesses, is looking to hire a full-time Director, Data Science to lead ...

National Grid

Data Scientist, Data Science

Brooklyn, NY

$92K - $108K/yr

Qualifications * 1-2 years of experience developing predictive models and working with data science techniques. * Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a ...

New

Adswerve, Inc

Data Scientist 1

OR · On-site +1

$95K - $115K/yr

College degree in Computer Science, Information Science or related field preferred - OR ... Summer Fridays * "Work From Home Light" days between Christmas and New Year's Day * 401(k) Plan ...

New

1 point system

Data Science Engineer

Century City, CA · On-site

Must have excellent communication Summary The Data Scientist is a member of a highly motivated Tech ... The work they are doing is a data conversion project where one team is building a new financial ...

Adswerve, Inc

Data Scientist 1

$95K - $115K/yr

College degree in Computer Science, Information Science or related field preferred - OR ... Summer Fridays * "Work From Home Light" days between Christmas and New Year's Day * 401(k) Plan ...

New

Capital One

Manager, Data Science

Plano, TX · On-site +1

Plano Town Center (31064), United States of America, Plano, Texas Manager, Data Science Manager ... Also requires 1 year of experience in: * leveraging open-source programming languages for large ...

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All JobsSummer Formula 1 Data Science Jobs

Summer Formula 1 Data Science information

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$37.5K

$122.7K

$196.5K

How much do summer formula 1 data science jobs pay per year?

As of Jun 17, 2026, the average yearly pay for summer formula 1 data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

Can a data scientist work in F1?

Yes, a data scientist can work in Formula 1 by analyzing race data, vehicle telemetry, and performance metrics to optimize strategies and car setups. F1 teams often seek data scientists skilled in statistical analysis, machine learning, and programming tools like Python or R to improve race outcomes and engineering decisions.

How much does an F1 data analyst make?

F1 data analysts typically earn between $60,000 and $100,000 annually, depending on experience, location, and the team they work for. They often have skills in data analysis, programming, and motorsport knowledge, with some roles offering additional performance-based bonuses.

What are the key skills and qualifications needed to thrive as a Summer Formula 1 Data Science professional, and why are they important?

To thrive as a Summer Formula 1 Data Science professional, you need a solid background in statistics, programming (such as Python or R), and data analysis, often supported by progress toward a relevant degree in data science, engineering, or mathematics. Experience with data visualization tools, telemetry analysis software, and familiarity with machine learning frameworks are typically required. Strong problem-solving abilities, attention to detail, and effective teamwork set top candidates apart in this role. These skills are essential for extracting actionable insights from large datasets, optimizing race strategies, and supporting performance improvements in the fast-paced F1 environment.

What is the difference between Summer Formula 1 Data Science vs Summer Motorsport Data Analyst?

AspectSummer Formula 1 Data ScienceSummer Motorsport Data Analyst
Required CredentialsDegree in Data Science, Computer Science, or related fields; knowledge of motorsport analyticsDegree in Data Analysis, Statistics, or related fields; familiarity with motorsport data
Work EnvironmentF1 teams, race weekends, high-pressure environmentMotorsport teams, event analysis, collaborative setting
Industry UsagePrimarily in Formula 1 racingBroader motorsport sectors including NASCAR, WRC, etc.
Common Search/ComparisonYesYes

While both roles involve analyzing motorsport data, Summer Formula 1 Data Science focuses specifically on F1 racing analytics, leveraging advanced data science techniques in a high-stakes environment. Summer Motorsport Data Analysts work across various motorsport disciplines, applying similar skills but with a broader industry scope.

What is a Summer Formula 1 Data Science job?

A Summer Formula 1 Data Science job is a seasonal internship or temporary position where you work with data related to Formula 1 racing. In this role, you analyze large sets of race data, develop predictive models, and support engineers and teams in making strategic decisions. Tasks might include optimizing car performance, evaluating race strategies, or interpreting telemetry data. It's a great opportunity for students or early-career professionals interested in both data science and motorsport to gain hands-on experience.

How much do F1 data scientists make?

F1 data scientists typically earn between $70,000 and $120,000 annually, depending on experience, education, and the team they work for. Senior roles or those with specialized skills in machine learning and real-time data analysis can earn higher salaries, often exceeding $150,000. Compensation may also include bonuses and benefits related to performance and project success.

Do Formula 1 teams do summer internships?

Yes, many Formula 1 teams offer summer internships in data science, engineering, and technical roles to provide students with practical experience in motorsport environments. These internships typically last several weeks during the summer and often require relevant skills in programming, data analysis, and knowledge of motorsport technology.

What are the typical projects and responsibilities for a Summer Formula 1 Data Science intern?

As a Summer Formula 1 Data Science intern, you can expect to work on projects such as analyzing race and telemetry data, developing predictive models for performance optimization, and supporting real-time decision-making during race weekends. You may collaborate closely with engineers, strategists, and other data professionals to extract actionable insights from large datasets. Daily tasks often include data cleaning, exploratory analysis, and presenting findings to both technical and non-technical team members. This role provides hands-on experience with cutting-edge analytics tools in a fast-paced, team-oriented environment.
What cities are hiring for Summer Formula 1 Data Science jobs? Cities with the most Summer Formula 1 Data Science job openings:
What are the most commonly searched types of Formula 1 Data Science jobs? The most popular types of Formula 1 Data Science jobs are:
What states have the most Summer Formula 1 Data Science jobs? States with the most job openings for Summer Formula 1 Data Science jobs include:
Summer Formula 1 Data Science jobs near you

Investment Data Science Intern (Summer 2027)

Walleye Capital Internships

New York, NY • On-site

$14K/mo

Temporary, Internship

Posted 16 days ago

Job description

Position: Investment Data Science Intern (Summer 2027)
Location: New York, NY
Firm Overview:
Walleye Capital is a ~$16 billion+ multi-strategy investment firm headquartered in New York City, with over 350 employees across five main offices. Founded in 2005 as an options market maker, we have organically grown into a global investment firm specializing in Fundamental Equities, Quant, and Volatility strategies.
At Walleye, we continuously innovate by focusing on three core principles: approach, platform, and people. Our approach is to allocate risk capital where we believe there is not only a compelling opportunity, but also a clear ability to define our tangible edge. We seek to leverage the mathematical benefits of diversification while utilizing sophisticated infrastructure, technology, and our balance sheet to do so in a structurally advantageous way. Our platform, developed over two decades, is central to our operations, evolving alongside business complexities and technological advancements to support our team's success. Our people are our greatest asset, and we've cultivated an environment that attracts top talent by balancing autonomy with collaboration, and intelligence with integrity.
Position Overview:
Walleye Capital is seeking Investment Data Science Interns for Summer 2027. As an intern, you'll engage in high-impact projects focused on alternative data research supporting long/short discretionary investment strategies. Your work may include developing thematic investment theses, exploring new datasets, or conducting stock-specific analyses. You'll have the opportunity to collaborate with senior professionals, gain hands-on experience with real-world hedge fund data, and enhance your analytical and statistical skills.
The internship is 10 weeks in length and will take place in New York City from June to August 2027.
Responsibilities:
  • Partner with the Central Data Science team on research initiatives, supporting both scalable production insight pipelines and ad hoc analytics to inform investment decisions.
  • Collaborate with discretionary equity L/S portfolio managers and analysts to understand their investment theses and identify areas where alternative or fundamental data can augment conviction; develop and prototype predictive models or analytics tools that help surface patterns across sectors, tickers, or themes.
  • Conduct exploratory data analysis (EDA), signal validation, and performance attribution studies using historical and real-time data sets.
  • Assist in the evaluation and onboarding of new data vendors by performing quantitative and qualitative assessments of potential alpha signals.
  • Learn and implement core data science and data engineering workflows on the firm's Cloud and Linux infrastructure.
  • Clean, transform, and join large structured and unstructured datasets from internal and external sources; maintain reproducibility and robustness through version-controlled code, documentation, and adherence to the team's development standards; utilize AI to enhance processes and analyses.

We seek individuals who:
  • Are pursuing an undergraduate or non-MBA master's degree in a STEM-related field, with an expected graduation date between December 2027 and June 2028.
  • Demonstrate strong quantitative and analytical skills, with a solid foundation in programming, statistics, and problem-solving capabilities.
  • Are self-motivated, adaptable, and detail-oriented, with the ability to manage multiple priorities in a fast-paced environment.
  • Showcase creativity and enthusiasm for leveraging AI tools to enhance productivity and improve processes and workflows.
  • Thrive in a collaborative culture that values intellectual humility, creativity, and continuous learning.

Pay Range:
The expected monthly pay for this position is $14,000/month. Interns will also receive a $10,000 housing stipend and transportation to and from New York City (domestic travel only).
The deadline to apply for this opportunity is Friday, July 31 at 11:59pm ET. For questions about the process, please review our Campus FAQs.
Walleye is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law.
If you require a reasonable accommodation to participate in any part of our hiring process, please contact HR@walleyecapital.com.
Personal data you provide will be processed in accordance with Walleye Capital LLC's Privacy Notice available at: https://www.walleyecapital.com/.

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