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Internship Time Series Analysis Jobs in Delaware

Sallie Mae

Senior Manager, Statistical Modeling

Newark, DE · On-site

$85K - $104K/yr

Strong understanding of statistical modeling techniques, such as regression analysis, time series analysis, predictive modeling, and machine learning algorithms(supervised, unsupervised, deep ...

Sallie_mae

Senior Manager, Statistical Modeling

Newark, DE · On-site

$85K - $104K/yr

Strong understanding of statistical modeling techniques, such as regression analysis, time series analysis, predictive modeling, and machine learning algorithms(supervised, unsupervised, deep ...

Northwestern Mutual

Excellent time-management skills * Interest in financial literacy and planning tools * Business ... Support for SIE, Series 6, Series 63 registrations (eligibility required)

Northwestern Mutual

Excellent time-management skills * Interest in financial literacy and planning tools * Business ... Support for SIE, Series 6, Series 63 registrations (eligibility required)

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Internship Time Series Analysis information

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.

What are popular job titles related to Internship Time Series Analysis jobs in Delaware?

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What job categories do people searching Internship Time Series Analysis jobs in Delaware look for?

The top searched job categories for Internship Time Series Analysis jobs in Delaware are:

What cities in Delaware are hiring for Internship Time Series Analysis jobs?

Cities in Delaware with the most Internship Time Series Analysis job openings:

Internship Time Series Analysis jobs near you

Analytics Solutions Manager

JPMorgan Chase & Co.

Wilmington, DE • On-site

$130 - $160/hr

Other

Re-posted 17 hours ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

72nd of 171 rated banks

Job description

As a Data & Analytics Solutions- Vice President within the Finance Data and Insight (FDI) product group, you execute on Data and Analytical Solution related Product development strategy and outcomes for Marketing Finance Area Product.

Job Responsibilities
  • Executes on Data and Analytical Solution related Product development strategy and outcomes for product, complexity/dependency, risk/compliance and internal/external customer experience impact
  • Plan and executes Product delivery roadmaps aligned to overall Product vision using careful analysis of customer needs, competitive intelligence, data/analytics, firm’s capabilities and financials
  • Coordinate with Business stakeholders to analyze business requirement and build the backlog for Tech for development.
  • Facilitate collaboration with cross-functional product and area product leads. Engages and leverages key product group partners (Design, Data Owner, Tech Architect, Engineering, Data/Analytics etc.) early enough and often in the area product development strategy and provides access to customers to deliver value.
  • Partners on software product development and tech build to create quality and scalable features/solutions including contributing to team through the writing of user stories
  • Executes area product workflow through JIRA. Prioritizes and sequences backlog considering audit/controls, data landscape, data center migration, resiliency, etc., coordination of release dates and is responsible for area backlog and health as part of overall product.
  • Understanding of underlying technology that drives product. This includes ownership for tech assets needed for product development (full view expectation to help drive end-to-end ownership and the assumption of the tech debt that builds up over time based on decision making)
  • Lead & develop AI / ML and Agentic Solution delivery
  • Mange stakeholder expectation, roadmap planning, priority setting, Management reporting.
  • Design and implement comprehensive and efficient data product / data mart / Analytical solution that consolidate key data categories from various source systems, tailored to the needs of the Marketing Finance & Business Management functions.
Required qualifications, capabilities and skills
  • 12+ years of broad Product Management, Data Product Management and Analytics Solutions
  • Bachelor’s Degree in Computer Science, Information Systems, Finance MIS, or related field
  • Experience in managing complex Product leveraging complex data and models in a fast-paced, dynamic environment.
  • Ability to set and manage accountabilities and expectations at all levels - team members, peers, business partners and senior management
  • Strong track record of leading dynamic team, delivering challenging initiatives using expert-level program/product/function management skillset
  • Proven leadership and influencing skills and ability to collaborate across a highly matrix organization
  • Experience in designing and implementing scalable and efficient data mart architectures, including star schema, snowflake schema, and other data modeling techniques.
  • Exposure to statistical techniques such as regression, hypothesis testing, time series analysis, and clustering to analyze business data and uncover insights.
  • Good understanding of P&L / Finance in general. Understanding of Credit Card Business will be added advantage.
Preferred Qualifications
  • Demonstrated Senior leadership in terms of attitude, initiative and inclusivity
  • Product Management Experience
  • Experience with Python, Databricks, Snowflake, or other Cloud Data Warehouse, Data Engineering, Data Modeling, ERWIN
  • Agile backlog management tools (JIRA, Confluence)
  • Added advantage to have ThoughtSpot, Tableau, Alteryx, or Essbase experience
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