Logo of Huzzle

Summer Associate Internship (Data Scientist - Data Science Management)

  • Internship
    Full-time
    Summer Internship
  • Data
  • Pensacola

AI generated summary

  • You should have strong communication, problem-solving, and analytical skills; experience in data analysis, Python, SQL; and knowledge of cloud technologies and data engineering concepts.
  • You will design and evaluate predictive models, analyze results, develop software, utilize trend analysis, collaborate with the team, and communicate findings effectively.

Requirements

  • Qualifications
  • Excellent communication skills
  • Self-starter with significant experience in managing multiple priorities independently.
  • Significant experience in problem resolution including determining root cause, scope, and scale of issues.
  • Experience that demonstrates the ability to research, compile, and document data, business processes, and workflows.
  • Advanced skill in maintaining accuracy with high attention to detail.
  • Advanced research, analytical, and problem-solving skills
  • Advanced presentation, verbal, and written communication skills advanced skill in identifying and analyzing business requirements and recommending solutions.
  • Significant experience in managing cross-functional, multi-dimensional teams and projects of the highest complexity with high business risk and impact.
  • Advanced skill in analyzing statistics and reports to determine business performance, trends, and reporting.
  • Advanced skill in data mapping and building requirements.
  • Technical skills:
  • Currently pursuing a graduate degree in Statistics, Mathematics, Economics, Data Science, Data & Analytics, Computer Science, or other STEM related degree
  • Advanced skill in interpreting, extrapolating, and interpolating data for statistical research and modeling
  • Advanced knowledge and experience with time series modeling (ex. ARIMA, Linear Regression, OLS, Holt-Winters, TBATS)
  • Advanced skill in Data Interpretation, Qualitative and Quantitative Analysis
  • Advanced skill in Python, SQL, and Data Querying (able to pull/transform data)
  • Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Microsoft Azure, Databricks
  • Advanced skill in data mining, data wrangling, and data transformation with both structured and unstructured data; deep understanding of data models
  • Advanced skill in programming languages and databases
  • Familiarity with Data Engineering concepts (ex: ETL tools and techniques)
  • Advanced skill in Data Management, Data Validation/Cleansing, and Information Analysis

Responsibilities

  • Responsibilities
  • Design, develop, and evaluate basic/routine predictive models and algorithms with some complexity.
  • Analyze and interpret results with some complexity.
  • Limited judgment and discretion within defined procedures and practices.
  • Develop and code basic software programs, algorithms, and automated processes.
  • Use modeling and trend analysis to analyze data.
  • Collaborate with team members and participate in team projects and initiatives.
  • Utilize effective written and verbal communication to document and present findings.

FAQs

What is the primary focus of the Summer Associate Internship in the Data Science Management team?

The primary focus is on modeling and forecasting key metrics surrounding delinquency and collections strategy, which involves utilizing advanced statistics and analytics.

What types of projects will the Summer Associate be involved in?

The Summer Associate will work on projects that include exploring and validating data sources, preparing model-ready datasets, developing statistical models, and communicating findings to technical and non-technical business users.

What qualifications are required for this internship?

Candidates should be currently pursuing a graduate degree in Statistics, Mathematics, Economics, Data Science, Data & Analytics, Computer Science, or a related STEM field, as well as possess advanced skills in data analysis, programming, and statistical modeling.

What programming languages and tools should candidates be familiar with?

Candidates should have advanced skills in Python and SQL, experience with cloud computing technologies like Apache Spark and Azure, and knowledge of data engineering concepts and ETL processes.

Is there a focus on communication skills for this position?

Yes, excellent communication skills are essential to effectively document and present findings, as well as to collaborate with team members and other business units.

What kind of experience is preferred for this role?

The ideal candidate should have significant experience managing multiple priorities, problem resolution, data research, and analysis, along with advanced analytical and presentation skills.

Will the Summer Associate have opportunities to collaborate with other team members?

Yes, the Summer Associate will collaborate with senior Data Scientists and participate in team projects and initiatives.

What should candidates expect regarding the internship workload?

Candidates can expect to handle routine predictive modeling tasks, data analysis, and collaboration on more complex projects as they develop skills and knowledge throughout the internship.

Is there a possibility for full-time employment after the internship?

While the job description does not explicitly mention full-time opportunities, many internships can lead to potential full-time positions based on performance and business needs.

How does Navy Federal Credit Union support diversity in the workplace?

Navy Federal values and celebrates diversity in the workplace, taking affirmative action to employ and advance qualified individuals from various backgrounds, including those with disabilities and veterans.

Our Members Are the Mission

Finance
Industry
10,001+
Employees
1933
Founded Year

Mission & Purpose

Navy Federal is the world’s largest credit union, with more than 13 million members, $178 billion+ in assets and 24,000+ employees. Throughout campuses in Vienna, VA Pensacola, FL and Winchester, VA, as well as more than 350 branches, we serve the Armed Forces, Department of Defense, veterans and their families with world-class financial products and services. Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks. Our approach to careers is simple yet powerful: Make our mission your passion. Equal Housing Lender