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Internship Data Science Civil Engineering Jobs in Boston, MA

Data Science Intern Statistical Modeling & Marketing Measurement Remote | Internship | Full-time | 3 months About the Role We are looking for a curious and analytically minded Data Science Intern to ...

Data Science Intern Statistical Modeling & Marketing Measurement Remote | Internship | Full-time | 3 months About the Role We are looking for a curious and analytically minded Data Science Intern to ...

What We Look For In a FE - Civil Engineering Tutor * Advanced Test Mastery: Deep knowledge of FE ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

What We Look For In a FE - Civil Engineering Tutor * Advanced Test Mastery: Deep knowledge of FE ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Scientist, Data Science

Waltham, MA · On-site

$91K - $136K/yr

The successful candidate will leverage their data science expertise in mining large datasets to ... Prior experience or internship in the pharmaceutical or biotechnology industry. * Prior experience ...

What We Look For In a FE - Civil Engineering Tutor * Advanced Test Mastery: Deep knowledge of FE ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

What We Look For In a FE - Civil Engineering Tutor * Advanced Test Mastery: Deep knowledge of FE ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

What We Look For In a FE - Civil Engineering Tutor * Advanced Test Mastery: Deep knowledge of FE ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Scientist, Data Science

Waltham, MA · On-site

$91K - $136K/yr

The successful candidate will leverage their data science expertise in mining large datasets to ... Prior experience or internship in the pharmaceutical or biotechnology industry. * Prior experience ...

What We Look For In a FE - Civil Engineering Tutor * Advanced Test Mastery: Deep knowledge of FE ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

What We Look For In a FE - Civil Engineering Tutor * Advanced Test Mastery: Deep knowledge of FE ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Data Science Engineer

Boston, MA · On-site

$124K - $149K/yr

ShiftCode Analytics, Inc. is seeking a talented Data Science Engineer to join their team and ... engineering, and model development. • Design and implement data lake architecture using Snowflake ...

Civil Engineer

Norton, MA · On-site

$122K/yr

... Science in Civil Engineering or related required. Registration as Engineer-In-Training, Licensed Soil Evaluator and/or Professional Civil Engineer a plus. - Not looking for structural engineering ...

Partner closely with Product, Growth, Engineering, and UX leadership to influence product roadmap ... Act as a thought leader on emerging data science techniques (personalization, recommendation ...

Showing results 21-40

Internship Data Science Civil Engineering information

See Boston, MA salary details

$14

$21

$28

How much do internship data science civil engineering jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for internship data science civil engineering in Boston, MA is $21.57, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $23.75 per hour, depending on experience, location, and employer.

What is an internship data science civil engineering role?

Internship data science roles in civil engineering involve using data analysis, machine learning, and statistical methods to solve problems in areas like construction, transportation, and infrastructure. Interns may work with large datasets from sensors, surveys, or simulations to help civil engineers make better decisions about design, safety, and efficiency. These roles often require knowledge of programming languages like Python or R, as well as an understanding of civil engineering principles. Interns gain practical experience by working on real-world projects, often supporting tasks such as predictive modeling, data visualization, and report generation.

What skills and qualifications are needed for an internship data science civil engineering?

To thrive as an intern in Data Science for Civil Engineering, you need a foundational understanding of civil engineering principles, basic statistics, and data analysis, often supported by ongoing or completed coursework in civil engineering or data science. Familiarity with programming languages like Python or R, knowledge of data visualization tools, and experience with software such as MATLAB or AutoCAD are typically required. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and present findings clearly. These skills are essential for leveraging data-driven insights to solve engineering challenges and support project decision-making.

What types of projects can I expect to work on during an internship data science civil engineering?

As a Data Science intern in Civil Engineering, you may be involved in projects such as analyzing structural health monitoring data, optimizing transportation systems using predictive modeling, or automating data collection from construction sites. Interns often collaborate with engineers and data professionals to interpret large datasets, develop machine learning models, and create visualizations that support infrastructure planning and decision-making. The work environment is typically interdisciplinary, giving you valuable exposure to both technical data science tools and practical civil engineering applications.

What is the difference between Internship Data Science Civil Engineering vs Civil Engineering Intern?

AspectInternship Data Science Civil EngineeringCivil Engineering Intern
Required CredentialsBasic knowledge of data science, programming, civil engineering fundamentalsEnrolled in civil engineering degree, basic engineering coursework
Work EnvironmentData analysis, modeling, software tools, field visitsSite visits, design work, construction supervision
Employer & Industry UsageEngineering firms, government agencies, construction companiesConstruction firms, consulting agencies, government departments
Common Search & ComparisonInternship Data Science Civil EngineeringCivil Engineering Intern

The Internship Data Science Civil Engineering focuses on applying data analysis and modeling within civil engineering projects, often involving software tools and data-driven decision making. In contrast, a Civil Engineering Intern typically engages in site visits, design tasks, and construction supervision. Both roles serve as entry points into the civil engineering industry but emphasize different skill sets and work environments.

What are the most commonly searched types of Data Science Civil Engineering jobs in Boston, MA?

The most popular types of Data Science Civil Engineering jobs in Boston, MA are:

What are popular job titles related to Internship Data Science Civil Engineering jobs in Boston, MA?

For Internship Data Science Civil Engineering jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Internship Data Science Civil Engineering jobs in Boston, MA look for?

The top searched job categories for Internship Data Science Civil Engineering jobs in Boston, MA are:

Infographic showing various Internship Data Science Civil Engineering job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $44,856 per year, or $21.6 per hour.

Data Science Intern

FocusKPI Inc.

Boston, MA • On-site, Remote

Full-time, Internship

Posted 4 days ago


Job description

Data Science Intern
Statistical Modeling & Marketing Measurement
Remote | Internship | Full-time | 3 months
About the Role
We are looking for a curious and analytically minded Data Science Intern to support the development and evaluation of statistical and machine learning models for marketing measurement. This role is designed for someone with strong quantitative fundamentals who wants hands-on experience applying regression, model diagnostics, validation, and data analysis to real business problems. You will work closely with experienced data scientists, learn how modeling choices affect interpretation and business decisions, and contribute clean, reproducible analytical work.
Responsibilities
  • Support the development and evaluation of models including regression, time-series, and other statistical or machine learning approaches, with attention to predictive performance, stability, and interpretability.
  • Prepare and explore data using Python and SQL; perform data-quality checks, feature construction, descriptive analysis, and visualization to understand modeling inputs and outcomes.
  • Apply core model-validation techniques such as train/validation/test splits, cross-validation, baseline comparisons, and appropriate performance metrics.
  • Investigate common statistical issues including multicollinearity, overfitting, residual patterns, autocorrelation, heteroskedasticity, and unstable coefficients, with guidance from senior team members.
  • Test and compare reasonable modeling choices such as feature transformations, regularization settings, and model specifications, and summarize how these choices affect model results.
  • Interpret model outputs and connect technical findings to practical marketing or business questions while clearly stating assumptions and limitations.
  • Contribute to reproducible analytical workflows for model training, validation, sensitivity checks, and result comparison.
  • Write clear Python and SQL code and communicate methods, findings, assumptions, and open questions in a structured and understandable way.

Basic Qualifications
  • Strong foundation in statistics and regression: understanding of linear regression, key model assumptions, coefficient interpretation, regularization concepts, and basic statistical inference.
  • Solid quantitative fundamentals in probability, statistics, and linear algebra; familiarity with calculus or optimization concepts is helpful.
  • Working knowledge of Python for data analysis and modeling, including common data-science libraries; basic to intermediate SQL skills for data extraction and transformation.
  • Understanding of model evaluation: training versus validation data, cross-validation, common regression metrics, overfitting, and the importance of out-of-sample performance.
  • Ability to reason through modeling problems: investigate unexpected results, form hypotheses about root causes, test alternatives, and explain conclusions using evidence.
  • Clear communication skills: ability to explain analytical methods, assumptions, results, and limitations to technical teammates and learn from feedback.
  • Currently pursuing a degree in statistics, computer science, data science, machine learning, applied mathematics, econometrics, operations research, or a closely related quantitative field.

Preferred Qualifications
  • Coursework, research, or project experience using regression, time-series analysis, statistical modeling, or machine learning.
  • Exposure to Marketing Mix Modeling (MMM), marketing analytics, attribution, or other measurement problems.
  • Basic understanding of concepts such as adstock, saturation, incremental impact, ROI, or response curves.
  • Familiarity with A/B testing, causal inference, simulation, sensitivity analysis, or confidence intervals.
  • Experience with Python libraries such as pandas, NumPy, statsmodels, scikit-learn, SciPy, or similar tools.
  • Previous internship, research assistantship, academic project, or independent project involving real-world data is a plus.

NOTICE: Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via @focuskpi.com email domain. If you have received fraudulent emails now or in the past, please report it to https://reportfraud.ftc.gov/ .
The domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.

FocusKPI logo

About FocusKPI

Sourced by ZipRecruiter

Industry

Computing infrastructure providers, data processing, web hosting

Company size

51 - 200 Employees

Headquarters location

Santa Clara, CA, US

Year founded

2010