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Internship Time Series Forecasting Jobs (NOW HIRING)

Inherent Technologies

Data Scientist

Chandler, AZ · Remote

Strong Time Series forecasting, ML, deep learning and standard statistical methods to evaluate models. Experience working on supply chain projects. We are seeking a highly skilled Data Scientist to ...

Jobgether

With a strong focus on time-series forecasting and applied machine learning, you will help shape data-driven decision-making processes that have real-world impact. This is an excellent opportunity ...

Amazon

Data Scientist, Demand Forecasting

Bellevue, WA · On-site

At Amazon, our Demand Forecasting team is tackling one of the most ambitious challenges in applied time series research: building large-scale foundation models that generalize across an enormous and ...

Clera

Founding Product Engineer

San Francisco, CA · On-site

Train time-series forecasting models for power consumption and renewables production * Develop linear optimisation algorithms that reduce customer energy costs * Help choose and shape the core tech ...

Clera

Founding Product Engineer

San Francisco, CA · On-site

Train time-series forecasting models for power consumption and renewables production * Develop linear optimisation algorithms that reduce customer energy costs * Help choose and shape the core tech ...

Redolent, Inc.

Sr, ML Architect

Washington, DC · On-site

The ideal candidate will have a strong background in time series forecasting, anomaly detection, event classification, and correlation ML algorithms. Additionally, experience in integrating with ...

Redolent, Inc.

AI/ML Engineer

Phoenix, AZ · On-site

This role requires hands-on experience with time series forecasting, anomaly detection, event classification, and correlation ML algorithms. Additionally, experience in integrating with large ...

Redolent

AI/ML Engineer

Phoenix, AZ

This role requires hands-on experience with time series forecasting, anomaly detection, event classification, and correlation ML algorithms. Additionally, experience in integrating with large ...

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Internship Time Series Forecasting information

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How much do internship time series forecasting jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for internship time series forecasting in the United States is $19.86, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $22.36 per hour, depending on experience, location, and employer.

What is the difference between Internship Time Series Forecasting vs Data Analyst?

AspectInternship Time Series ForecastingData Analyst
Required CredentialsBasic knowledge of statistics, programming, and time series conceptsBachelor's degree in data-related fields, some roles may require certifications
Work EnvironmentInternship setting, often in finance, retail, or tech companiesFull-time or part-time roles in various industries, including finance, healthcare, and marketing
Employer & Industry UsageUsed for entry-level training and project support in forecasting tasksUsed for data analysis, reporting, and decision-making across industries

Internship Time Series Forecasting focuses on entry-level, project-based work involving forecasting models, while Data Analysts perform broader data analysis tasks, including reporting and insights. Both roles require analytical skills but differ in scope and experience level.

What are the key skills and qualifications needed to thrive as an Internship Time Series Forecasting, and why are they important?

To thrive as an Internship Time Series Forecasting, you need a solid background in statistics, data analysis, and programming, often supported by coursework or experience in mathematics, economics, or computer science. Familiarity with statistical software and programming languages such as Python or R, as well as tools like pandas, NumPy, and forecasting libraries (e.g., Prophet, ARIMA), is typically required. Strong problem-solving skills, attention to detail, and effective communication set candidates apart in this analytical role. These abilities are crucial for accurately analyzing data trends, communicating insights, and delivering reliable forecasts that support business decisions.

What is an Internship in Time Series Forecasting?

An Internship in Time Series Forecasting is a temporary position that allows students or recent graduates to gain hands-on experience analyzing and predicting data points over time. Interns typically work with historical datasets to identify trends, seasonality, and patterns, often using statistical or machine learning models. These internships provide valuable exposure to real-world forecasting challenges in industries such as finance, retail, or technology, and help interns develop both technical and analytical skills. Interns may also collaborate with data scientists and business analysts to support decision-making processes.

What are some typical projects or tasks an intern in time series forecasting might work on during their internship?

As an intern in time series forecasting, you can expect to work on projects involving the analysis and modeling of sequential data—such as sales figures, stock prices, or sensor readings. Common tasks include cleaning and visualizing time-based datasets, applying statistical and machine learning models (like ARIMA or LSTM), and evaluating model performance. Interns often collaborate with data scientists and analysts to interpret results, present findings, and help integrate forecasting models into business processes. These experiences provide valuable hands-on exposure to both the technical and collaborative aspects of data science.
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Internship Time Series Forecasting jobs near you
Infographic showing various Internship Time Series Forecasting job openings in the United States as of June 2026, with employment types broken down into 33% As Needed, and 67% Full Time. Highlights an 83% Physical, 6% Hybrid, and 11% Remote job distribution, with an average salary of $41,299 per year, or $19.9 per hour.
Temporary Online Course Developer -Time Series Forecasting and Operational Analytics

Temporary Online Course Developer -Time Series Forecasting and Operational Analytics

Brandeis University

Waltham, MA • On-site

$3K/wk

Part-time

Posted 13 days ago

Job description

Online Course Developer - Time Series Forecasting and Operational Analytics
Location: Remote (U.S.-based only)
Division: Rabb School of Continuing Studies, Brandeis University
Compensation: $3,000.00 (Approx. 65 hours over 12 weeks)
Brandeis University's Rabb School of Continuing Studies is seeking a skilled online course developer to design and build a new three credit asynchronous online course titled: Time Series Forecasting and Operational Analytics.
This role is for an experienced academic and curriculum strategist to serve as an Online Course Developer within Brandeis Online's graduate program. The developer will design and build asynchronous, instructor-facilitated online courses aligned with institutional learning outcomes, accreditation standards, and workforce relevance This course will cover predictive modeling and forecasting under uncertainty, including ARIMA, Prophet, and deep learning approaches for sustainable operations.
Responsibilities:
The development of an online asynchronous course entails the creation and/or selection of elements as outlined in the Brandeis Online Course Standards. Required components include a Brandeis-compliant syllabus, instructor-created materials informed by current industry knowledge, learning objects, and applied assignments and assessments aligned to course and program outcomes.
The Developer is responsible for the substantive content and pedagogical strategies of the course and agrees to uphold Brandeis's academic standards and online course development guidelines.
Throughout the design process, the Developer will collaborate with Brandeis Online staff, adhere to technical requirements for LMS integration, and meet project milestones. Course drafts will be submitted at designated intervals for feedback, and final approval will be contingent upon a comprehensive design review by a Learning Designer, and Brandeis Online.
Qualifications:
  • Advanced degree (Masters or Ph.D) in Statistics, Operational Research, Data Science or a related field.
  • Professional experience applying forecasting methods to operational demands, planning, or in sustainability contexts.
  • Expertise in time series analysis and forecasting under uncertainty, including ARMIA and modern machine learning approach.
  • At least year of teaching or training experience (preferably online/asynchronous).
  • Minimum 1 year experience developing asynchronous online courses for adult learners in higher education.
  • Proficiency with LMS platforms and digital authoring tools.
  • Familiarity with analytical tools, collaborative platforms, and interdisciplinary teamwork.
  • Strong communication, organization, and independent work skills.
  • Familiarity with curriculum design, accreditation standards, and graduate-level rigor.
  • Ability to translate interdisciplinary content into engaging, accessible learning pathways.
  • Strong writing and editing skills to produce cohesive, learner-centered experiences.

Preferred Experience:
  • Experience teaching or developing graduate-level online courses.
  • Knowledge of global learner personas and culturally responsive pedagogy.
  • Familiarity with Moodle LMS and digital authoring tools (e.g., H5P).
  • Familiarity with experiential learning models and employer-aligned curriculum.

Additional Details:
  • Fully remote (U.S.-based applicants only; no visa sponsorship)
  • 12-week development timeline (~65 total hours)
  • Compensation: $3,000.00

Pay Range Disclosure
The University's pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements.
Equal Opportunity Statement
Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class").

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