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Predictive Analytics Intern Jobs in Walpole, MA (NOW HIRING)

Predictive Analytics Intern information

What are the key skills and qualifications needed to thrive as a Predictive Analytics Intern, and why are they important?

To thrive as a Predictive Analytics Intern, you need a solid background in statistics, data analysis, and familiarity with programming languages such as Python or R, often supported by coursework in data science or related fields. Experience with tools like SQL, machine learning libraries (e.g., scikit-learn), and data visualization platforms (such as Tableau or Power BI) is typically expected. Strong problem-solving, attention to detail, and effective communication skills help interns stand out when interpreting and presenting data-driven insights. These competencies are crucial for deriving actionable predictions and supporting business decisions through accurate, well-communicated analyses.

How does a Predictive Analytics Intern typically collaborate with different departments within a company?

As a Predictive Analytics Intern, you will often work closely with teams such as marketing, operations, and IT to gather data, understand business needs, and present analytical findings. Collaboration usually involves attending cross-functional meetings, sharing data-driven insights, and helping stakeholders interpret predictive models for practical decision-making. This role provides valuable exposure to real-world business challenges and helps you develop communication skills that are essential for translating complex analytics into actionable recommendations.

What does a Predictive Analytics Intern do?

A Predictive Analytics Intern assists organizations by analyzing data to forecast future trends and outcomes. They use statistical techniques, machine learning models, and data visualization tools to interpret large datasets and generate actionable insights. Typically, these interns work under the guidance of experienced data scientists or analysts, contributing to projects such as demand forecasting, customer behavior analysis, or risk assessment. Their role also involves cleaning and preparing data, running predictive models, and helping to communicate findings to non-technical stakeholders.

What is the difference between Predictive Analytics Intern vs Data Analyst Intern?

AspectPredictive Analytics InternData Analyst Intern
Required SkillsStatistical analysis, programming (Python, R), data modelingData visualization, SQL, basic statistical skills
Work EnvironmentTech companies, finance, marketing teamsBusiness departments, consulting firms, tech companies
Typical TasksBuilding predictive models, analyzing trends, forecastingData cleaning, reporting, creating dashboards

Predictive Analytics Interns focus on developing models to forecast future outcomes using statistical techniques, while Data Analyst Interns primarily analyze and visualize existing data to support decision-making. Both roles require strong analytical skills but differ in their technical focus and project types.

What job categories do people searching Predictive Analytics Intern jobs in Walpole, MA look for? The top searched job categories for Predictive Analytics Intern jobs in Walpole, MA are:
What cities near Walpole, MA are hiring for Predictive Analytics Intern jobs? Cities near Walpole, MA with the most Predictive Analytics Intern job openings:
Intern, Statistical Programming

Intern, Statistical Programming

Alnylam Pharmaceuticals

Cambridge, MA

$25 - $35/hr

Other

Posted 27 days ago


Job description

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Overview

The AI & Automation Intern will support the Statistical Programming department in exploring and implementing innovative artificial intelligence (AI) and machine learning (ML) solutions to enhance workflow efficiency, reduce manual effort, and streamline programming processes. The intern will work closely with statistical programmers to understand data requirements, identify opportunities for automation, and develop proof-of-concept tools or pilot projects that demonstrate the potential of AI-driven solutions within clinical trial programming.

This role provides hands-on experience in applying AI/ML techniques to statistical programming challenges, including data processing, analysis, and reporting. The intern will gain exposure to industry standards, workflow optimization, and best practices for integrating AI solutions into existing programming processes. Additionally, the intern will support documentation, testing, and training efforts to ensure successful adoption of AI tools within the department.

Learning Outcomes

  1. AI/ML Application in Statistical Programming
    Gain hands-on experience applying artificial intelligence and machine learning techniques to automate and optimize statistical programming workflows, including data processing, analysis, and reporting tasks.
  2. Understanding Clinical Data Standards and Workflows
    Learn about clinical trial data standards (CDISC, SDTM, ADaM) and the end-to-end statistical programming process, developing the ability to identify areas for efficiency improvement and practical AI integration.
  3. Tool Development and Workflow Optimization
    Build skills in developing proof-of-concept tools, automating routine tasks, and enhancing workflow efficiency, while documenting processes, testing solutions, and supporting adoption within a professional statistical programming environment.

Qualifications

  • Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Science, or a relevant scientific field.
  • Understanding of AI/ML concepts (e.g., machine learning models, predictive analytics, automation).
  • Experience in data engineering, data architecture, automation, or artificial intelligence (AI); familiarity with clinical or healthcare data is preferred.
  • At least 18 years of age prior to scheduled start date
  • Legal authorization to work in the U.S.

U.S. Pay Range

$25-$35/hr

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