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Internship Conservation Data Science Jobs in California

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Internship Conservation Data Science information

What are the key skills and qualifications needed to thrive as an internship in conservation data science?

To thrive as an Internship Conservation Data Science, you need a solid grounding in data analysis, ecological principles, and statistics, typically supported by coursework or experience in environmental science or related fields. Familiarity with data analysis tools such as R or Python, GIS software, and data management systems is commonly required. Attention to detail, problem-solving abilities, and effective communication help interns collaborate with diverse teams and convey scientific findings. These skills enable interns to support evidence-based conservation decisions and contribute valuable insights to ecological projects.

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

AspectInternship Conservation Data ScienceConservation Data Analyst
CredentialsTypically pursuing or recent graduate, no formal certification requiredBachelor's or master's in environmental science, data science, or related fields
Work EnvironmentInternship setting, often part-time or temporary, in conservation organizations or research projectsFull-time role in NGOs, government agencies, or research institutions
ResponsibilitiesAssisting with data collection, basic analysis, and learning conservation data toolsAnalyzing conservation datasets, generating reports, supporting decision-making

Internship Conservation Data Science roles are entry-level, focused on learning and supporting data tasks, while Conservation Data Analysts are more experienced, responsible for in-depth analysis and reporting. Both roles are vital in conservation efforts but differ mainly in experience level and scope of responsibilities.

What is an internship in conservation data science?

An Internship in Conservation Data Science is a temporary position that provides students or recent graduates with practical experience in using data analysis and scientific methods to support conservation efforts. Interns typically assist with collecting, processing, and analyzing ecological or environmental data to help solve real-world conservation challenges. This role often involves using statistical software, geographic information systems (GIS), and programming languages like R or Python. The experience helps interns develop valuable skills for careers in conservation, environmental science, or data analytics.

What types of projects do conservation data science interns typically work on?

Conservation Data Science interns often engage in projects such as analyzing wildlife population data, developing data visualization dashboards, or building predictive models to inform conservation strategies. These projects are usually team-based and directly support larger research or conservation initiatives by providing actionable insights from complex datasets. Interns frequently collaborate with ecologists, GIS specialists, and other data scientists, gaining hands-on experience with real-world conservation challenges. This work not only helps interns develop technical and analytical skills but also contributes to evidence-based decision-making in conservation organizations.
What are the most commonly searched types of Conservation Data Science jobs in California? The most popular types of Conservation Data Science jobs in California are:
What are popular job titles related to Internship Conservation Data Science jobs in California? For Internship Conservation Data Science jobs in California, the most frequently searched job titles are:
What job categories do people searching Internship Conservation Data Science jobs in California look for? The top searched job categories for Internship Conservation Data Science jobs in California are:
What cities in California are hiring for Internship Conservation Data Science jobs? Cities in California with the most Internship Conservation Data Science job openings:
Infographic showing various Internship Conservation Data Science job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Jr. Data Scientist, Business Analytics & Research

NBCUniversal

Universal City, CA

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 19 hours ago


Job description

Company Description

NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information.

Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world.

Job Description

The Business Analytics & Research (BAR) group is part of NBCUniversal's Intellectual Property Analytics, Operations, and Technology (IPAOT) team responsible for supporting NBCUniversal's content globally. The BAR team combines data science, economics, consumer research, and business analytics to understand how audiences discover and consume content, quantify the impact of piracy on NBCUniversal businesses, evaluate the effectiveness of content protection efforts, and identify emerging risks in the rapidly evolving digital media ecosystem. 

The Jr. Data Scientist will support a wide range of analytical initiatives that inform content protection, distribution, streaming, and business strategy decisions across NBCUniversal's film, television, sports, and direct-to-consumer businesses. 

Responsibilities: 

  • Analyze large and complex datasets to identify trends in consumer behavior, content consumption, piracy activity, and digital distribution 
  • Support and enhance existing analytical models, reporting products, dashboards, and research programs while contributing to the development of new analytical capabilities 
  • Support the development and maintenance of statistical models used to measure the impact of piracy and content protection activities on business outcomes 
  • Assist with forecasting, risk assessment, title prioritization, and strategic decision-support initiatives 
  • Develop recurring reports, dashboards, and data products that provide timely intelligence and present to business stakeholders and senior leadership 
  • Conduct exploratory analyses to uncover drivers of piracy behavior, content demand, and audience engagement 
  • Support research projects that combine survey data, behavioral data, business performance metrics, and empirical piracy datasets to answer strategic business questions 
  • Partner with research, operations, and technology teams to improve data quality, analytical workflows, and reporting capabilities 
  • Translate analytical findings into clear business recommendations through presentations, visualizations, and written summaries 
  • Explore and evaluate new analytical approaches, including AI, statistical modeling, machine learning, and emerging data science techniques 
  • Support ad hoc analyses and special projects across the broader IPAOT organization 
Qualifications

Basic Requirements: 

  • Bachelor's degree in Statistics, Mathematics, Economics, Data Science, Computer Science, Operations Research, Social Science, or a related quantitative field 
  • 2+ years of demonstrated experience applying quantitative analysis to real-world problems through academic research, internships, consulting engagements, or professional work 
  • Proficiency in SQL 
  • Experience using Python, R, or similar analytical programming languages 
  • Understanding of statistical concepts including hypothesis testing, regression analysis, experimental design, and predictive modeling 
  • Experience cleaning, validating, and analyzing structured datasets 
  • Ability to communicate analytical findings clearly to both technical and non-technical audiences 
  • Experience creating data visualizations and dashboards using Tableau, Power BI, or similar tools 
  • Strong analytical thinking, intellectual curiosity, and problem-solving skills 
  • Proficiency in Microsoft Excel and PowerPoint 

Desired Characteristics: 

  • Experience with econometrics, causal inference, forecasting, machine learning, or other advanced analytical techniques 
  • Experience working with behavioral, consumer, digital media, technology, or content-related datasets 
  • Familiarity with cloud-based analytics environments, data warehousing technologies, or modern data engineering workflows 
  • Exposure to survey research, experimentation, or consumer insights methodologies 
  • Knowledge of the media, entertainment, streaming, technology, or digital platform landscape 
  • Experience leveraging AI-assisted tools to improve analytical workflows and productivity 
  • Interest in understanding consumer behavior and decision-making within digital media and technology ecosystems 
  • Interest in content protection, online piracy, cybersecurity, or technology policy 

Hybrid: This position currently has a hybrid schedule, which requires contributing from the Universal City, CA office a minimum of four days per week. The Company reserves the right to change in-office requirements at any time. 

This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting theBenefits pageof the Careers website. 

Salary Range: $70,000 - $85,000 

Additional Information

As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.

NBCUniversal will consider for employment qualified applicants with criminal histories, or arrest or conviction records, in a manner consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative For Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable.

If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to [email protected].