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Internship Time Series Analysis Jobs (NOW HIRING)

Koantek

Data Scientist

Chandler, AZ

Build and optimize machine learning models for classification, regression, predictive analytics, and time series forecasting. Develop end-to-end ML pipelines and support deployment of models into ...

National Debt Relief, LLC.

Senior Data Scientist

$149K - $171K/yr

Apply sophisticated data science techniques, including unsupervised learning, clustering, time series analysis, anomaly detection, NLP, topic modeling, and generative AI, to address business ...

Koantek

Data Scientist

Chandler, AZ · On-site

Build and optimize machine learning models for classification, regression, predictive analytics, and time series forecasting. * Develop end-to-end ML pipelines and support deployment of models into ...

Ztek Consulting INC

Lead Data Engineer

Minneapolis, MN · On-site

... Time Series Analysis, Linear and Non-linear Modeling, Data Mining, Optimization and Simulation and Data Engineering (Snowflake, Oracle and SQL) 5 years of experience in designing data conformation ...

Amazon

Data Scientist, WW Ops FP&A

Bellevue, WA

... learning, time series analysis, econometrics) to solve complex forecasting challenges Design and implement scalable, reliable approaches to extract insights from large, complex datasets across ...

Amazon

Data Scientist, WW Ops FP&A

Bellevue, WA

... learning, time series analysis, econometrics) to solve complex forecasting challenges Design and implement scalable, reliable approaches to extract insights from large, complex datasets across ...

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Internship Time Series Analysis information

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

As of Jun 13, 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 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 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.

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

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 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.
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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 June 2026, with employment types broken down into 20% Internship, 60% Full Time, and 20% Temporary. Highlights an 100% In-person job distribution, with an average salary of $32,333 per year, or $15.5 per hour.
Quantitative Research Analyst, Officer

Quantitative Research Analyst, Officer

State Street Global Advisors

Cambridge, MA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Job description

Who we are looking for

The Quantitative Research Analyst (Officer) will be a member of the Insights team and will assist in building and deploying quantitative research tooling and proprietary time-series data products for State Street Markets' client-facing research portal, Insights. The Insights team is part of State Street Associates (SSA), a unique partnership between State Street and thought leaders in academic finance, headquartered in Harvard Square in Cambridge, MA. In collaboration with our academic partners, we produce original research that is frequently published in academic and practitioner journals, and which helps inform our suite of multi-asset data products in areas such as asset flow and positioning, inflation, and market risk.

In this role, the Quantitative Research Analyst will work cross-functionally with senior researchers, macro strategists, and technologists to translate research concepts into production-ready data products and tools within Insights. The successful candidate will help design and build custom indices, factor series, and other derived time-series datasets. They will also contribute to defining refined and normalized data series that can be reliably charted and used in downstream analysis. A key part of the role is supporting the buildout of new AI-enabled research tooling that accelerates the research process, including quantitative libraries being developed to interface directly with large language models.

Why this role is important to us

The team you will be joining is a part of State Street Markets. As a leading provider of trading and lending solutions to the world's institutional investors, we deliver the industry's most innovative platforms, financing and portfolio solutions. Our capabilities are backed by proprietary, high-value research, insights and indicators that power clients' investment decisions, accelerate performance and help investors stay ahead of shifting markets. Across our comprehensive set of solutions - data-driven macro market intelligence that give an information advantage; client-first platforms and tools that redefine trading; financing solutions that streamline liquidity access; and portfolio solutions designed to help achieve peak performance - we deliver a breakthrough edge to drive business success.

What you will be responsible for

As Quantitative Research Analyst, you will

  • Build and maintain proprietary time-series datasets used in Insights research products.

  • Design custom indices, factor series, and derived financial indicators.

  • Conduct quantitative analysis and backtesting across different market environments.

  • Develop Python libraries that support repeatable research and analytical workflows.

  • Help build AI-enabled tools that accelerate research production and exploration.

  • Translate research concepts into scalable data products and analytical tools.

  • Partner with researchers, strategists, and technologists to implement new capabilities.

  • Validate data quality, model outputs, and analytical results before publication or release.

What we value

These skills will help you succeed in this role

  • Strong quantitative, analytical, and problem-solving skills.

  • High proficiency in Python, SQL, and financial time-series analysis.

  • Curiosity about applying AI tools to improve research workflows.

  • Ability to communicate technical ideas clearly to cross-functional partners.

  • Careful attention to data quality, validation, and analytical rigor.

Education & Preferred Qualifications

  • Advanced degree or equivalent experience in finance, economics, mathematics, computer science, data science, or a related quantitative field.

  • 3+ years of relevant experience in quantitative research, quantitative development, data science, or financial analytics.

  • Strong experience working with Python, SQL, and large structured datasets.

  • Familiarity with financial markets, asset classes, factor research, or investment data.

  • Experience with AI-assisted coding or large language model tools is preferred.

  • Experience with Oracle or other relational databases is helpful.

Are you the right candidate? Yes!

We truly believe in the power that comes from the diverse backgrounds and experiences our employees bring with them. Although each vacancy details what we are looking for, we don't necessarily need you to fulfil all of them when applying. If you like change and innovation, seek to see the bigger picture, make data driven decisions and are a good team player, you could be a great fit.

About State Street

What we do. State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we're making our mark on the financial services industry. For more than two centuries, we've been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.

Work, Live and Grow. We make all efforts to create a great work environment. Our benefits packages are competitive and comprehensive. Details vary by location, but you may expect generous medical care, insurance and savings plans, among other perks. You'll have access to flexible Work Programs to help you match your needs. And our wealth of development programs and educational support will help you reach your full potential.

Inclusion, Diversity and Social Responsibility. We truly believe our employees' diverse backgrounds, experiences and perspectives are a powerful contributor to creating an inclusive environment where everyone can thrive and reach their maximum potential while adding value to both our organization and our clients. We warmly welcome candidates of diverse origin, background, ability, age, sexual orientation, gender identity and personality. Another fundamental value at State Street is active engagement with our communities around the world, both as a partner and a leader. You will have tools to help balance your professional and personal life, paid volunteer days, matching gift programs and access to employee networks that help you stay connected to what matters to you.

State Street is an equal opportunity and affirmative action employer.

Salary Range:

$125,000 - $143,750 Annual

The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.

Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.

For a full overview, visit https://hrportal.ehr.com/statestreet/Home.

About State Street

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

Discover more information on jobs at StateStreet.com/careers

Read our CEO Statement

Job Application Disclosure:

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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