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Sas R Python Internship Jobs in Texas (NOW HIRING)

Advanced programming skills in SAS/R/Python and SQL. * Moderate to Expert level skills in Microsoft Office Suite (Excel, Access, and Outlook a must) * Must pass pre-employment screenings. Preferred ...

Advanced programming skills in SAS/R/Python and SQL. * Moderate to Expert level skills in Microsoft Office Suite (Excel, Access, and Outlook a must) * Must pass pre-employment screenings. Preferred ...

Advanced programming skills in SAS/R/Python and SQL. * Moderate to Expert level skills in Microsoft Office Suite (Excel, Access, and Outlook a must) * Must pass pre-employment screenings. Preferred ...

SAS Statistician

Houston, TX · On-site

$95K/yr

Outcomes: * Standardize SAS Macro library within 3 months * Double data output rate by reducing ... STATA, R, Python experience Additional Information Compensation: $95k+ base salary

Outcomes: * Standardize SAS Macro library within 3 months * Double data output rate by reducing ... STATA, R, Python experience Additional Information Compensation: $95k+ base salary

SAS Developer Location: Dallas, TX (5 days onsite) Duration: Long Term Looking for 13+ years of ... Familiarity with other programming languages such as Python, R, or Java. * Experience with data ...

VP, CECL Analytics

Dallas, TX · On-site

$178.10K - $229.60K/yr

Knowledge and experience using analytical software such as SAS, SQL, R, Python, Power BI and/or Tableau. * Knowledge of trend analyses and root cause determination. * Knowledge of modeling principles ...

Gen AI Lead

Dallas, TX · On-site

$138.50K - $170.10K/yr

SQL, Pyspark, Scala, R, Python, SAS * Gen AI & Agents - Prompt Engineering, RAG, Vector DB, Agentic Frameworks, MCP, Large Language Models (LLMs),LangChain, LangGraph, Explainable AI, Conversational ...

Knowledge and experience using analytical software such as SAS, SQL, R, Python, Power BI and/or Tableau. * Knowledge of trend analyses and root cause determination. * Knowledge of modeling principles ...

VP, CECL Analytics

Dallas, TX

$178.10K - $229.60K/yr

Knowledge and experience using analytical software such as SAS, SQL, R, Python, Power BI and/or Tableau. * Knowledge of trend analyses and root cause determination. * Knowledge of modeling principles ...

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Sas R Python Internship information

What are the key skills and qualifications needed to thrive as a SAS R Python Intern, and why are they important?

To thrive as a SAS R Python Intern, you need a solid understanding of statistics, data analysis, and programming fundamentals, often supported by coursework or a degree in a quantitative field. Familiarity with statistical software like SAS, R, and Python, as well as data visualization and database tools, is typically required. Strong problem-solving skills, attention to detail, and the ability to communicate technical findings clearly help interns stand out. These skills are crucial for successfully analyzing data, drawing actionable insights, and contributing effectively to data-driven projects within an organization.

What types of projects can I expect to work on during a SAS R Python internship, and how do these projects contribute to real business outcomes?

As a SAS R Python intern, you will typically work on data analysis, data cleaning, and developing predictive models using large datasets. Projects often involve collaborating with data scientists and business analysts to extract insights that drive decision-making, such as optimizing marketing campaigns or improving operational efficiency. These assignments allow you to apply statistical methods and programming skills in practical settings, directly supporting organizational goals. Interns also gain exposure to real-world data challenges and team-based problem-solving, making it a valuable stepping stone for future analytics roles.

What is a SAS R Python Internship?

A SAS R Python Internship is a temporary position designed for students or recent graduates to gain hands-on experience using statistical analysis and programming languages, specifically SAS, R, and Python. Interns typically work on data-driven projects, helping organizations analyze large datasets, develop predictive models, and automate data processes. This type of internship is common in industries like finance, healthcare, and tech, and is ideal for individuals interested in data science, analytics, or programming careers.

What is the difference between Sas R Python Internship vs Data Analyst Internship?

AspectSas R Python InternshipData Analyst Internship
Required SkillsKnowledge of SAS, R, Python, data manipulationProficiency in Excel, SQL, basic statistical analysis
Work EnvironmentData-focused, analytics teams, tech companiesBusiness units, consulting firms, finance
Industry UsageCommon in healthcare, finance, techWidespread across industries including marketing and finance

Both internships involve data analysis skills, but Sas R Python Internships focus more on programming and statistical tools, while Data Analyst Internships emphasize business insights and reporting. The choice depends on whether you prefer technical programming or business-oriented analysis.

What are the most commonly searched types of Sas R Python jobs in Texas? The most popular types of Sas R Python jobs in Texas are:
Director Credit Risk

Other

Posted 13 days ago


Regional Finance rating

6.9

Company rating: 6.9 out of 10

Based on 29 frontline employees who took The Breakroom Quiz


Job description

Take your career to the next level! In the last few years our goal has been expansion, creating growth opportunities for many of our team members. Not only are we serious about growth, but we are also serious about helping our customers during hard financial times.
We take pride in providing solutions and offering a helping hand, not only to our customers but also to the communities we serve. As we continue to expand and grow into a national leader in consumer financing, we invite you to consider joining our team.
If you're passionate about making a meaningful impact in people's lives and bringing a personal touch to finance, we'd love to have you on board!
Job Purpose
The Director, Credit Risk is responsible for Portfolio analytics, business performance reporting/initiatives, and business unit support for the Risk Management organization within Regional Management. This position will utilize advance skills to develop strategies to drive growth in our consumer portfolios that are within RM's risk targets. The Director will deliver rigorous analytically derived recommendations driven from detailed understanding of risk and reward dynamics across RM's lending products.
Duties and Responsibilities

  • Day-to-day duties include data analysis, monitoring and forecasting, creating the logic for and implementing risk rules and strategies and communicating with stakeholders to ensure we deliver the best possible customer experience while meeting loss rate targets.
  • Proactively monitor credit exposure, and provide recommendations and approvals to breaches in the credit process
  • Leverage credit risk data experience and business acumen to observe key trends / threats / inaccuracies and drivers of those observations.
  • Identify areas of opportunity and spearhead initiatives in order to enable profitable growth while minimizing credit risk exposure.
  • Identify business opportunities.
  • Run credit tests to optimize risk strategies, balancing risk, and return.
  • Mine, model, analyze large datasets, and utilize predictive modeling techniques with an emphasis on optimizing credit risk and marketing campaign performance using the following predictive modeling techniques: linear/logistic regression, factor analysis, decision trees, clustering, segmentation, etc.
  • Quantitative analysis of custom score models including, validation, ongoing- performance monitoring, and documentation.
  • Forecast performance of marketing campaigns and tracks actual campaign performance versus the forecast.
  • Conduct ad hoc research projects incorporating project design, data collection and analysis, summarization of findings, and presentation of results.
  • Handle data while utilizing interpretive and problem solving skills with the ability to process large volume of transaction level data and efficiently derive actionable results.
  • Interact with stakeholders to understand their business questions, crafting the methodology, to mine/analyze datasets utilizing SAS/R/Python and ultimately delivers a final insightful recommendations to stakeholders.
Minimum Qualifications
  • Bachelor's degree in Statistics, Data Analytics, Economics, Math, or similar
  • 6+ years of consumer finance, risk analytics, or relevant experience
  • Experience in data mining, modeling, and analyzing analytic findings using SAS/R/Python.
  • Advanced programming skills in SAS/R/Python and SQL.
  • Moderate to Expert level skills in Microsoft Office Suite (Excel, Access, and Outlook a must)
  • Must pass pre-employment screenings.
Preferred Qualifications
  • Experience in Financial Services with consumer credit data utilizing SAS/R/Python.
  • Experience analyzing marketing data in a financial environment.
  • Experience developing risk models for a financial institution.
Critical Competencies
  • Excellent oral and written communication skills; especially the ability to explain complex analyses in easily understood terms.
  • Excellent organizational skills with the ability to prioritize and handle multiple tasks and responsibilities simultaneously.
  • Utilize appropriate analysis, judgment and logic when solving problems and making decisions.
  • Demonstrated ability to apply complex financial and statistical principles.
  • Effective written and verbal presentation skills; able to communicate well with Senior and Executive Management.
  • Innovative problem solving, quantitative and analytical abilities.
  • Detail-oriented.
  • Able to work with minimal supervision.
  • Flexible, proactive working style.
  • Adaptive to a team environment.

Working Conditions
This position works in an office environment.
Direct Reports
3-5 direct reports.
If you are a job applicant who resides in the state of California, please review our California Employee Privacy Policy at the following link: https://regionalfinance.com/wp-content/uploads/2022/11/UPDATED-Employee-Privacy-Policy-11.2022.pdf
Regional is an equal opportunity employer and does not discriminate on the basis of race, color, religion, creed, national origin, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, transgender status, age, disability, genetic information, veteran status, uniform service, or any other characteristic protected by applicable law ("Protected Characteristics"). Regional's policy of non-discrimination applies to all phases of the employment process and relationship, including, but not limited to, recruitment and selection; compensation and benefits; professional development and training; promotions and opportunities; transfers; social and recreational programs; layoff; and terminations.

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