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Internship Time Series Analysis Jobs (NOW HIRING)

LMI

Data Scientist with Security Clearance

True, WV · On-site

$90K - $150K/yr

Advanced experience in statistical analysis and time series modeling, including econometric techniques, seasonal regression, and other statistical models. * Demonstrated ability to think critically ...

LMI

Data Scientist

$90K - $150K/yr

Advanced experience in statistical analysis and time series modeling, including econometric techniques, seasonal regression, and other statistical models. * Demonstrated ability to think critically ...

LMI

Data Scientist

$90K - $150K/yr

Advanced experience in statistical analysis and time series modeling, including econometric techniques, seasonal regression, and other statistical models. * Demonstrated ability to think critically ...

FocusKPI Inc.

Data Science Intern

Boston, MA · On-site +1

Coursework, research, or project experience using regression, time-series analysis, statistical ... Previous internship, research assistantship, academic project, or independent project involving ...

FocusKPI Inc.

Data Science Intern

Boston, MA · Remote

Coursework, research, or project experience using regression, time-series analysis, statistical ... Previous internship, research assistantship, academic project, or independent project involving ...

Info Way Solutions

Timeseries Developer

Fremont, CA · On-site

The role involves designing and developing software solutions for time series data, enhancing existing systems, and implementing algorithms for analysis and detection. Responsibilities : • Design ...

Parisi Labs

$120 - $210/hr

Analyze whether model changes come from real signal, noise, data bugs, evaluation artifacts, or ... Research engineering, applied ML, time-series forecasting, scientific ML, optimization, evals, pre ...

Saviance

ML Architect - IoT & Digital Twin

$85K - $113K/yr

... linear time series analysis, and/or optimization. • Hands-on skills with Python (NumPy, SciPy). • Experience working in the Automotive industry, or in an IoT engineering space (aerospace ...

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

As of Sep 7, 2026, the average hourly pay for internship time series analysis in the United States is $15.54, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $17.55 per hour, depending on experience, location, and employer.

What is an internship in time series analysis?

An internship in time series analysis is a temporary position, often for students or recent graduates, where you gain hands-on experience analyzing data that is collected over time. Interns typically work with datasets to identify trends, patterns, and make forecasts using statistical and machine learning techniques. The role may involve using tools like Python, R, or specialized software to clean data, build models, and visualize results. It’s a valuable opportunity to apply theoretical knowledge from coursework to real-world problems in industries such as finance, economics, or technology.

What types of projects or tasks can I expect to work on during an internship in time series analysis?

As an intern specializing in time series analysis, you will typically assist with collecting, cleaning, and analyzing temporal data using statistical software such as Python or R. Your projects may include forecasting trends, detecting anomalies, and visualizing patterns in data sets from fields like finance, healthcare, or operations. You will often collaborate with data scientists, analysts, and business stakeholders to translate findings into actionable insights, while learning to apply techniques such as ARIMA, exponential smoothing, or machine learning models. This hands-on experience is a valuable foundation for pursuing advanced roles in data science and analytics.

What are the key skills and qualifications needed to thrive as an internship time series analysis?

To thrive as an Internship Time Series Analysis, you need a solid grounding in statistics, data analysis, and proficiency in mathematical concepts, usually supported by coursework in mathematics, statistics, or data science. Familiarity with technical tools such as Python or R, and experience with libraries like pandas, NumPy, and statsmodels, as well as data visualization platforms, are highly valuable. Analytical thinking, problem-solving abilities, and strong communication skills set candidates apart in interpreting results and presenting findings. These skills ensure accurate modeling, effective data-driven insights, and clear communication of complex temporal patterns for impactful business or research decisions.

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

AspectInternship Time Series AnalysisData Analyst
Required CredentialsRelevant coursework, basic statistical knowledgeBachelor's degree in related field, some certifications
Work EnvironmentInternship setting, supervised projectsFull-time or part-time professional role
Industry UsageEntry-level, learning-focusedBusiness, finance, healthcare, and more

Internship Time Series Analysis is an entry-level, learning-focused role typically performed during internships, emphasizing foundational skills in analyzing time-based data. In contrast, Data Analysts are more experienced professionals responsible for interpreting data to inform business decisions. While both roles involve data analysis, internships are more about gaining experience, whereas Data Analysts perform ongoing, complex analysis in various industries.

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Internship Time Series Analysis jobs near you
Infographic showing various Internship Time Series Analysis job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $32,333 per year, or $15.5 per hour.

Adjunct Instructor in Time Series Forecasting and Operational Analytics

Brandeis University

Waltham, MA • On-site

$6.5K/mo

Part-time

Re-posted 17 days ago

Job description

Brandeis University's Online Applied Data Science and Decision Analytics Program is seeking an Adjunct Faculty member for RADS 135 Time Series Forecasting and Operational Analytics for the Fall-2 2026 session. This 3-credit asynchronous online course is an 8-week requirement for the Master of Science in Applied Data Science and Decision Analytics.
This course will cover predictive modeling and forecasting under uncertainty, including ARIMA, Prophet, and deep learning approaches for sustainable operations.
Core Course Responsibilities Summary
  • Course Logistics and Facilitation: Focuses on the organized and timely rollout of course content, maintaining consistent communication through weekly announcements, and ensuring all instructional activities occur within university-approved digital platforms.
  • Instructor Presence and Engagement: Centers on building an active teaching persona by hosting live introductory sessions, facilitating weekly academic discourse in forums, and maintaining regular availability for student consultation.
  • Individual Feedback and Grading: Emphasizes the professional obligation to provide transparent, rubric-based evaluations and supportive commentary on student work within a standardized weekly timeframe.
  • Professional Conduct and Standards: Requires adherence to university communication protocols, the promotion of respectful online "netiquette," and ensuring the course meets accessibility and technical visibility standards before and during the term.

Qualifications:
  • Required:
    • 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 1 year of teaching or training experience (preferably online/asynchronous)
    • Experience with online instruction
    • Excellent communication and teaching skills in an online learning environment.
  • Preferred:
    • Prior online teaching experience at the graduate level
    • Knowledge of global learner personas and culturally responsive pedagogy
    • Familiarity with Moodle LMS and digital authoring tools (e.g., H5P)

Interested candidates should submit:
A cover letter highlighting relevant qualifications and teaching experience.
A current CV or resume.
Contact information for three professional references.
Application review begins June 1, 2026 though we will continue to accept submissions on an ongoing basis.
This appointment is to a position that is in a collective bargaining unit represented by SEIU Local 509.
Compensation for this positon is: $6573.15
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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