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Internship Data Science R Jobs in Hawthorne, CA (NOW HIRING)

Write queries and scripts using SQL and Python or R to extract and analyze data efficiently ... Internship or project experience in insurance analytics, risk modeling, or predictive modeling.

Python Machine Learning, data science, AWS, Statistical Modeling, Semantic Search, Vector DB, GenAI ... Advanced skills in Python and/or R-including development of statistical analysis packages, and use ...

In this role, you will support the UI Originals team by applying data science and analytics to ... Strong SQL skills and experience with analytical or programming languages such as Python, R, SAS ...

Responsibilities : โ€ข Use leadership skills and data science expertise to create real-world impact ... R, Python, or SQL/NoSQL โ€ข Experience with distributed data and computing tools, including ...

... science, collaborating closely with business stakeholders to inform decisions and optimize ... R (pandas, matplotlib/seaborn, tidyverse, or similar) and robust experience with common ML packages ...

Must Have: Python Machine Learning, data science, AWS, Statistical Modeling, Semantic Search ... Advanced skills in Python and/or R-including development of statistical analysis packages, and use ...

... Science) * 5+ years of experience across consumer product, digital media or entertainment industries * Expertise in SQL, SAS, R, Python or other programming language to query data and perform ...

... Science, or related field * 1-3 years of experience in data analysis (preferred) * Strong knowledge of Excel, SQL, and data visualization tools (Tableau/Power BI) * Basic knowledge of Python or R ...

AI Data Scientist Sr.

Los Angeles, CA ยท On-site

$120K - $160K/yr

To partner with stakeholders to identify, scope, and execute advanced analytics and data science ... Proficiency writing code in Python or R and documenting for reproducibility * Strong knowledge of ...

To partner with stakeholders to identify, scope, and execute advanced analytics and data science ... Proficiency writing code in Python or R and documenting for reproducibility * Strong knowledge of ...

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Internship Data Science R information

See Hawthorne, CA salary details

$12

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$42

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

As of Jul 13, 2026, the average hourly pay for internship data science r in Hawthorne, CA is $22.88, according to ZipRecruiter salary data. Most workers in this role earn between $17.60 and $24.90 per hour, depending on experience, location, and employer.

What types of projects can I expect to work on during a Data Science Internship at R?

As a Data Science intern at R, you will typically be involved in projects such as data cleaning, exploratory data analysis, and building predictive models under the guidance of experienced data scientists. You may also contribute to developing data visualizations and presenting insights to stakeholders. Interns often collaborate with cross-functional teams, including software engineers and business analysts, which provides valuable exposure to real-world data challenges and team-based problem solving.

What is the difference between Internship Data Science R vs Data Analyst Intern?

AspectInternship Data Science RData Analyst Intern
Required SkillsProficiency in R, statistical analysis, data visualizationExcel, SQL, basic statistical knowledge
Work EnvironmentData science teams, research projects, analytics departmentsBusiness units, marketing, finance, or operations teams
Industry UsageTech, finance, healthcare, research institutionsRetail, marketing, consulting, finance

Internship Data Science R focuses on applying R programming for statistical analysis and data modeling, often in research or technical environments. Data Analyst Internships emphasize data cleaning, visualization, and reporting using tools like Excel and SQL. Both roles require analytical skills but differ in technical depth and industry focus.

What is an Internship Data Science R?

An Internship Data Science R is a temporary position for students or recent graduates to gain practical experience in data science, with a focus on using the R programming language. Interns typically work under the guidance of experienced data scientists, assisting with data cleaning, analysis, visualization, and possibly building statistical models. This role helps interns develop technical and analytical skills, and provides exposure to real-world data-driven projects, often found in industries like finance, healthcare, or technology.

What are the key skills and qualifications needed to thrive as an Internship Data Science R, and why are they important?

To thrive as an Internship Data Science R, you need a solid grounding in statistics, data analysis, and programming with R, typically supported by coursework or a degree in a quantitative field. Familiarity with R packages (like tidyverse, ggplot2), data visualization tools, and version control systems such as Git is often required. Strong problem-solving skills, attention to detail, and effective communication help interns translate data insights into actionable recommendations. These abilities are crucial for supporting data-driven decision-making and contributing meaningfully to project teams in a professional environment.
What are the most commonly searched types of Data Science R jobs in Hawthorne, CA? The most popular types of Data Science R jobs in Hawthorne, CA are:
What cities near Hawthorne, CA are hiring for Internship Data Science R jobs? Cities near Hawthorne, CA with the most Internship Data Science R job openings:
Data Analyst I

Data Analyst I

Tristar Insurance

Signal Hill, CA โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago


Job description

POSITION SUMMARY:ย  In this role, you will support data analysis, data modeling, and data warehousing efforts that directly impact our business, business partners, and clients in claims, underwriting, and risk assessment strategies. Whether youโ€™re a recent graduate or early in your career, this position offers a strong foundation in data science, data warehousing, and insurance analytics, with opportunities for growth and development.

DUTIES AND RESPONSIBILITIES:

  • Assist in building data warehouse, dashboards, and reporting tools for actuarial, claims, and underwriting teams.
  • Collaborate with business units to develop data-driven insights for loss prevention and reserve modeling.
  • Clean, organize, and merge structured data from internal and third-party sources.
  • Write queries and scripts using SQL and Python or R to extract and analyze data efficiently.
  • Ensure data integrity and accuracy in reports and data feeds used for compliance, audit, and strategic planning.
  • Analyze claims, policy, and exposure data to identify trends in injury types, loss costs, and claim durations.
  • Apply basic statistical techniques or predictive models to support pricing, claims triage, or fraud detection.
  • Strong SQL development skillset in Postgres or any RDBMS database, data warehouse experience, Python, or Java core programming as a plus

PREFERRED SKILLS (Not Required)

  • Knowledge of workersโ€™ compensation insurance and claims workflows
  • Internship or project experience in insurance analytics, risk modeling, or predictive modeling.
  • Understanding of regulatory reporting and industry data sources (e.g., NCCI, ISO).

QUALIFICATIONS REQUIRED:

  • Bachelorโ€™s degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
  • 0โ€“3 years of experience in data science, analytics, or insurance-related projects (academic or professional).
  • Familiarity with data tools such as SQL, Python, R, or SAS.
  • Familiarity with Data warehouse techniques and practices
  • Hands on any data warehouse product
  • Exposure to data visualization tools (e.g., Power BI, Tableau).
  • Strong attention to detail, curiosity, and willingness to learn industry-specific data concepts.
  • Ability to work independently and collaboratively with cross-functional teams.

Here are some of the benefits you can enjoy in this role:

  • Medical, Dental, Vision Insurance
  • Life and Disability Insurance
  • 401(k) plan
  • Paid time off
  • Paid holidays

Mental and Physical Requirements:

MENTAL AND PHYSICAL REQUIREMENTS

1. MENTAL EFFORT

a.ย ย ย ย ย ย  Reasoning development::

ย ย  ย ย ย ย ย ย  Follow one- or two-step instructions; routine, repetitive task.

ย ย  ย ย ย ย ย ย  Carry out detail but uninvolved written or verbal instructions; deal with a few concrete variables.

ย ย  ย ย ย ย ย ย  Follow written, verbal, or diagrammatic instructions; several concrete variables.

ย X ย ย ย ย ย  Solve practical problems; variety of variables with limited standardization; interpret instructions.

ย ย  ย ย ย ย ย ย  Logical or scientific thinking to solve problems; several abstract and concrete variables.

ย ย  ย ย ย ย ย ย  Wide range of intellectual and practical problems; comprehend most obscure concepts.

b.ย ย ย ย ย ย  Mathematical development:

ย ย  ย ย ย ย ย ย  Simple additional and subtraction; copying figures, counting, and recording.

ย ย  ย ย ย ย ย ย  Add, subtract, multiply, and divide whole numbers.

ย X ย ย ย ย ย  Arithmetic calculations involving fractions, decimals, and percentages.

ย ย  ย ย ย ย ย ย  Arithmetic, algebraic, and geometric calculations.

ย ย  ย ย ย ย ย ย  Advanced mathematical and statistical techniques such as calculus, factor analysis, and probability determination.

ย 

ย ย  ย ย ย ย ย ย  Highly complex mathematical and statistical techniques such as calculus, factor analysis, and probability determination; requires theoretical application.

c.ย ย ย ย ย ย  Language development:

ย ย  ย ย ย ย ย ย  Ability to understand and follow verbal or demonstrated instructions; write identifying information; request supplies verbally or in writing.

ย ย  ย ย ย ย ย ย  Ability to file, post, and mail materials; copy data from one record to another; interview to obtain basic information such as age, occupation, and number of children; guide people and provide basic direction.

ย ย  ย ย ย ย ย ย  Ability to transcribe dictation; make appointments and process mail; write form letters or routine correspondence; interpret written work instructions; interview job applicants.

ย X ย ย ย ย ย  Ability to compose original correspondence, follow technical manuals, and have increased contact with people.

ย ย  ย ย ย ย ย ย  Ability to report, write, or edit articles for publication; prepare deeds, contracts or leases, prepare and deliver lectures; interview, counsel, or advise people; evaluate technical data.

2. PHYSICAL EFFORT

a.ย ย ย ย ย ย  Physical activity required to perform the job:

ย ย  ย ย ย ย ย ย  Sedentary work: Exerting up to 10 pounds of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects. Sedentary work involves sitting most of the time. Jobs are sedentary if walking and standing are required only occasionally and all other sedentary criteria are met.

ย X ย ย ย ย ย  Light work:

a.ย ย ย  Exerting up to 20 pounds of force occasionally b.ย ย ย ย ย ย  Exerting up to 10 pounds frequently

c.ย ย ย  Exerting a negligible amount of force constantly to move objects

(If the use of arm and/or leg controls requires exertion of forces greater than that for Sedentary

Work and the worker sits most of the time, the job is rated for Light Work).

ย ย  ย ย ย ย ย ย  Medium work:

a.ย ย ย  Exerting up to 50 pounds of force occasionally b.ย ย ย ย ย ย  Exerting up to 20 pounds of force frequently

c.ย ย ย  Exerting up to 10 pounds of force constantly to move objects

ย ย  ย ย ย ย ย ย  Heavy work:

a.ย ย ย  Exerting up to 100 pounds of force occasionally b.ย ย ย ย ย ย  Exerting up to 50 pounds of force frequently

c.ย ย ย  Exerting up to 20 pounds of force constantly to move objects

ย 

ย ย  ย ย ย ย ย ย  Very heavy work:

a.ย ย ย  Exerting in excess of 100 pounds of force occasionally

b.ย ย ย  Exerting in excess of 50 pounds of force constantly to move objects c.ย ย ย ย ย ย  Exerting in excess of 20 pounds of force constantly to move objects

b.ย ย ย ย ย ย  Visual requirements necessary to perform the job:

ย ย  ย ย ย ย ย ย  Far vision: clarity of vision at 20 feet or more

ย X ย ย ย ย ย  Near vision: clarity of vision at 20 inches or less

ย X ย ย ย ย ย  Mid-range vision: clarity of vision at distances of more than 20 inches and less than 20 feet

ย ย  ย ย ย ย ย ย  Depth perception: the ability to judge distance and space relationships, so as to see objects where and as they actually are

ย ย  ย ย ย ย ย ย  Color vision: ability to identify and distinguish colors

ย ย  ย ย ย ย ย ย  Field of vision: ability to observe an area up or down or to the right or left while eyes are fixed on a given point

2. PHYSICAL EFFORT (cont.)

FREQUENCY

c.ย ย ย  Physical activity necessary to perform the job and frequency (e.g., continually, frequently, or occasionally):

ย ย  ย ย ย Climbing:ย ย ย ย ย ย  Ascending or descending ladders, stairs, scaffolding, ramps, poles, and

the like, using feet and legs and/or hands and arms. Body agility is emphasized. This factor is important if the amount and kind of climbing required exceeds that required for ordinary locomotion.

ย ย  ย ย ย Balancing:ย ย ย ย ย ย  Maintaining body equilibrium to prevent falling when walking, standing, or crouching on narrow, slippery, or erratically moving surfaces. This factor is important if the amount and kind of balancing exceeds that needed for ordinary locomotion and maintenance of body equilibrium.

ย Xย  ย Stooping:ย ย ย ย ย  Bending body downward and forward by bending spine at the waist.

This factor is important if it occurs to a considerable degree and requires full use of the lower extremities and back muscles.

ย X ย Kneeling:ย ย ย ย ย  Bending legs at knee to come to a rest on knee or knees.

ย Xย  ย Crouching:ย ย ย  Bending the body downward and forward by bending legs and spine.

ย ย  ย ย ย ย ย Crawling:ย ย ย ย ย  Moving about on hands and knees or hands and feet.

ย Xย  ย Reaching:ย ย ย ย ย  Extending hand(s) and arm(s) in any direction.

Occasionally

Occasionally

Occasionally Occasionally Occasionally

ย 

ย X ย Standing:ย ย ย ย ย ย ย  Particularly for sustained periods of time.

ย Xย  ย Walking:ย ย ย ย ย ย  Moving about on foot to accomplish tasks, particularly for long distances.

ย Xย  ย Pushing:ย ย ย ย ย ย ย  Using upper extremities top press against something with steady force in order to thrust forward, downward, or outward.

ย X ย Pulling:ย ย ย ย ย ย ย ย ย  Using upper extremities to extent force in order to drag, haul, or tug objects in a sustained motion.

ย ย  ย ย ย ย ย Foot

Motion:ย ย ย ย ย ย ย ย ย  Using feet to push pedals.

ย Xย  ย Lifting:ย ย ย ย ย ย ย ย ย  Raising objects from a lower to a higher position or moving objects horizontally from position to position. This factor is important if it occurs to a considerable degree and requires substantial use of the upper extremities and back muscles.

ย Xย  ย Fingering:ย ย ย ย ย  Picking, pinching, typing, or otherwise working with fingers rather than with the whole hand or arm as in handling.

ย Xย  ย Grasping:ย ย ย ย ย  Applying pressure to an object with the fingers and palm.

ย 

Occasionally Occasionally Occasionally

Frequently

Frequently

Occasionally

2. PHYSICAL EFFORT (cont.)

FREQUENCY

ย X ย Talking:ย ย ย ย ย ย ย ย ย  ย Expressing or exchanging ideas by means of the spoken word. Those activities in which workers must convey detailed or important spoken instructions to other workers accurately, loudly, or quickly.

ย X ย Hearing:ย ย ย ย ย ย ย ย  Perceiving the nature of sounds with or without correction. Ability to receive detailed information through verbal communication, and to make fine discriminations in sound, such as when making find adjustments on machined parts.

ย ย  ย ย ย Feeling:ย ย ย ย ย ย ย ย ย ย  Perceiving attributes of objects, such as size, shape, temperature, or texture by touching with skin, particularly that of fingertips.

ย X ย Repetitiveย ย ย ย ย  Substantial movements (motions) of the wrists, hands, Motion:ย ย ย ย ย ย ย ย ย  and/or fingers.

Frequently

Frequently

Frequently

3. WORKING CONDITIONS

Disagreeable job conditions to which the employee may be exposed and the frequency (e.g., continually, frequently, or occasionally) of this exposure.

ย 

WORKING CONDITION ENVIRONMENTAL

FACTOR

NATURE/REASON OF EXPOSURE

FREQUENCY

Dirt/Dust

Noise

Temperature extremes

Dampness

Vibrations

Equipment movement hazard

Chemicals/solvents

Electrical shock

Significant work pace/pressure

Odors/Fumes

Other (specify): ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย