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Summer Formula 1 Data Science Jobs (NOW HIRING)

LMI

Health Policy Data Scientist

... 1" data-turn-id-container="request-WEB:00f35b71-5cb3-42e0-8ad2-464ce259d712-1" data-testid ... Bachelor's degree in Computer Science, Data Science, Information Systems, Data Analytics, or a ...

Redhorse Corporation

Lead Data Scientist

Arlington, VA · On-site

Responsibilities : • Manage a Data Science delivery team of one data scientist and two data analysts performing work on the government-provided PANDA platform. • Delivery Teams will each be ...

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 ...

Capital One

Senior Associate, Data Science

Mclean, VA · On-site

As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and ...

Capital One

Senior Associate, Data Science

Mclean, VA · On-site

As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and ...

Capital One

Senior Associate, Data Science

Mclean, VA · On-site

As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and ...

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 ...

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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 Aug 15, 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.

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

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?

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.

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

Health Policy Data Scientist

LMI

Remote

Other

Posted 26 days ago

Job description

Overview
LMI is seeking a skilled, full-time Health Policy Data Scientist. The successful applicant will become part of a team dedicated to policy, operations, and analytical support work for the Department of Health and Human Services (HHS), specifically the Center for Medicare and Medicaid Innovation (CMMI) within the Centers for Medicare and Medicaid Services (CMS).
Success in this role comes from a combination of a skill in data analysis, exceptional attention to detail, commitment to cross-functional teamwork, outstanding client ethic, and a desire to consistently improve in an organization that is dedicated to excellence.
LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.
Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.
Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.
Responsibilities
Specific responsibilities include:
  • Lead the analysis and modeling of healthcare data using machine learning, statistical modeling, and advanced analytics.
  • Develop, test, validate, and deploy machine learning models aligned with broader strategic objectives.
  • Analyze healthcare, compliance, and technical data to develop and maintain interactive reporting templates and dashboards that support program oversight.
  • Communicate tool functionality to diverse audiences and translate stakeholder feedback into technical enhancements.
  • Utilize, analyze, and manipulate multiple datasets to produce complex deliverables.
  • Proactively identify and guide clients through complex data and program operations to address key issues and assess downstream impacts.
  • Develop and maintain a strong understanding of complex, organization-specific datasets.
  • Perform routine and ad hoc analyses related to program operations, health policy, and system functionality, and clearly communicate findings to non-technical stakeholders.
  • Mentor and support technical team members through knowledge sharing and collaboration.
  • Foster cross-functional collaboration and contribute to a team-oriented environment.
  • Demonstrate a strong client service mindset and a commitment to continuous improvement in a culture of excellence.
  • Deliver high-quality work under tight deadlines while proactively communicating support needs and project risks.

Qualifications
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Required:
  • Applied experience with data modeling, including Scikit-learn, XGBoost, regression modeling, classification modeling, time series forecasting, model evaluation, and model monitoring & retraining.
  • Experience developing and deploying machine learning or time series models.
  • Demonstrated experience designing and deploying data science, machine learning, and statistical models in fast-paced environments.
  • Bachelor's degree in Computer Science, Data Science, Information Systems, Data Analytics, or a related field.
  • 5+ years of experience developing automated processes using Python, DAX, Power Query, or similar programming languages.
  • Strong proficiency with Microsoft Office, particularly Excel and PowerPoint.
  • Experience with data analysis, data visualization, and reporting.
  • Excellent written and verbal communication skills, with the ability to translate technical analyses into clear, actionable insights for non-technical audiences.
  • Ability to analyze test results and develop, review, and refine code as needed.
  • Experience delivering high-quality analytical products under both rapid turnaround (e.g., one hour) and long-term (e.g., one month or more) timelines.
  • 5+ years of client-facing experience in data analysis, data visualization, and reporting.

Desired:
  • Master's degree or other relevant graduate degree.
  • 2-4 years of experience supporting federal consulting engagements.
  • Experience working with healthcare claims data and a strong understanding of healthcare data structures.

Target salary range: $90,426 - $130,647
Disclaimer: The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.
#LI-SH1
Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.
Job Locations
US-Remote
US-VA-Tysons

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