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Geospatial Data Science Intern Jobs in Hartford, CT

Apply expert knowledge of industry-standard data science principles to identify anomalous events ... Familiarity with geospatial analysis, web development principles, or specific program leadership ...

Apply expert knowledge of industry-standard data science principles to identify anomalous events ... Familiarity with geospatial analysis, web development principles, or specific program leadership ...

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately ... To that end, there are three major components with which an intern should expect to engage.

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately ... To that end, there are three major components with which an intern should expect to engage.

Possess Master's degree in Data Science or related technical field with experience developing and ... HTML 5/Javascript, ArcObjects, Python, Model Builder, Oracle, SQL, GIScience, Geospatial Analysis ...

MANTECH seeks a motivated, career and customer-oriented Senior Data Scientist to join our team in ... geospatial bounds (chipping), orthorectification, or other types of data standardization ...

Data Scientist

Windsor, CT · On-site

$86 - $146/hr

Experience working with big data, geospatial analytics, and/or probabilistic forecasting * Experience building applications that ingest and use data from multiple sources and formats (i.e., data ...

Data Scientist

Windsor, CT · On-site

$117K - $146K/yr

Experience working with big data, geospatial analytics, and/or probabilistic forecasting * Experience building applications that ingest and use data from multiple sources and formats (i.e., data ...

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Geospatial Data Science Intern information

See Hartford, CT salary details

$12

$22

$42

How much do geospatial data science intern jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for geospatial data science intern in Hartford, CT is $22.70, according to ZipRecruiter salary data. Most workers in this role earn between $17.45 and $24.71 per hour, depending on experience, location, and employer.

What is a geospatial data science intern?

A Geospatial Data Science Intern helps analyze and interpret spatial data using GIS, statistical methods, and machine learning. They work with mapping tools, databases, and coding languages like Python or R to extract insights from geographic information. Interns may assist in data collection, visualization, and model development for applications in urban planning, environmental science, transportation, and more. This role provides hands-on experience with geospatial technologies and real-world problem-solving.

What types of projects or tasks can a geospatial data science intern expect to work on?

As a Geospatial Data Science Intern, you may assist with tasks such as cleaning, analyzing, and visualizing geospatial datasets, creating maps and spatial models, or developing scripts to automate data processing workflows. Interns often support research projects related to urban planning, environmental analysis, logistics, or public health, depending on the industry and team focus. You'll likely work closely with a mix of data scientists, GIS analysts, and subject matter experts, gaining exposure to real-world applications of spatial data. This hands-on project work can help build your portfolio and provide valuable experience that supports future career growth in geospatial science and analytics.

What are the key skills and qualifications needed to thrive as a geospatial data science intern?

To thrive as a Geospatial Data Science Intern, you need a background in data science, spatial analysis, and GIS concepts, ideally supported by coursework or a degree in geography, computer science, or a related field. Familiarity with tools such as ArcGIS, QGIS, Python, SQL, and data visualization platforms is commonly expected, while knowledge of remote sensing or geospatial databases is a plus. Problem-solving abilities, attention to detail, and strong communication skills help interns excel in collaborative, project-driven environments. These skills are crucial for effectively analyzing spatial data and successfully contributing to innovative geospatial solutions.

What are popular job titles related to Geospatial Data Science Intern jobs in Hartford, CT?

For Geospatial Data Science Intern jobs in Hartford, CT, the most frequently searched job titles are:

What job categories do people searching Geospatial Data Science Intern jobs in Hartford, CT look for?

The top searched job categories for Geospatial Data Science Intern jobs in Hartford, CT are:

Infographic showing various Geospatial Data Science Intern job openings in Hartford, CT as of August 2026, with employment types broken down into 43% Internship, and 57% Full Time. Highlights an 49% In-person, and 51% Remote job distribution, with an average salary of $47,217 per year, or $22.7 per hour.

Senior Data Scientist

MANTECH

Springfield, MA

Full-time

Re-posted 15 days ago


ManTech rating

9.0

Company rating: 9.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

34th of 246 rated software companies


Job description

hackajob is collaborating with MANTECH to connect them with exceptional professionals for this role.

MANTECH seeks a motivated, career and customer-oriented Senior Data Scientist to join our team in Springfield, VA. This role is 100% on-site.

The Senior Data Scientist leads the integration and application of advanced data analytics to solve complex business challenges and enhance mission security. The contractor will serve as a subject matter expert (SME), responsible for the entire lifecycle of data analysis—from refining business requirements and developing sophisticated analytical models to provide strategic recommendations that improve organizational efficiency and mitigate insider threats. This role demands a blend of deep technical expertise, strong business acumen, and the ability to lead, manage, and support critical operational and policy-related initiatives.
Responsibilities include but are not limited to:

  • Advanced Analytics and Model Development: Architect, develop, and maintain advanced analytic models, visualizations, and tools to deter, detect, and mitigate insider threats.

  • Apply expert knowledge of industry-standard data science principles to identify anomalous events and provide actionable intelligence.

  • Strategic Business Analysis: Proactively collaborate with project requestors, senior stakeholders, and program managers to define, clarify, and refine complex business needs and strategic objectives. Utilize data-driven insights to recommend significant changes and process improvements.

  • Process Improvement and Policy Operations: Lead, manage, and support business operations and policy development lifecycles. Serve as an SME for the development, review, coordination, promulgation, and compliance of enterprise-wide policies, including the maintenance of Self-Inspection Checklists and related documentation.

  • Risk and Performance Analytics: Own the development and maintenance of sophisticated risk-scoring models and other data analytics tools. Drive the implementation and sustainment of data analysis platforms, ensuring system integrity by capturing and analyzing metrics on system errors, failures, and performance.

  • Stakeholder Engagement and Communication: Translate complex quantitative and qualitative analysis into clear, compelling visuals, dashboards, and executive-level reports. Provide authoritative visual, technical, and editorial guidance, and confidently brief senior leadership on analytical findings, forecasts, and strategic recommendations.

  • Data Governance and Integrity: Oversee the capture, maintenance, and accumulation of statistics, ensuring the accuracy of data related to timelines, product transfers between domains, and other key performance indicators.

Minimum Qualifications:

  • 7+ years proven experience in integrating, developing, and maintaining analytic models, visualizations, and tools, preferably in a security or threat-detection context and a

  • Master’s Degree in Data Science, Statistics, Business, or a related field. In lieu of a masters degree, 10+ years of experience. In lieu of a bachelor’s degree, 15+ years of experience

  • Expert-level knowledge of data analytics and data science principles, with a demonstrated ability to apply them to identify anomalous events and create data-driven forecasts.

  • Mastery of data visualization and dashboard development using data sets from various sources.

  • Exceptional ability to transform complex data sets into compelling visuals, reports, and briefings for leadership.

  • Direct experience supporting and maintaining risk-scoring models or similar predictive analytic systems.

  • Proficiency in creating and editing visual content such as charts and graphs to represent data.

  • Demonstrated coding experience to support writing scripts with tools such as but not limited to Java and Python. Demonstrated ability to use Share Point, Tableau, Redmine, and other systems/databases to manipulate and build data visualization.

Preferred Qualifications:

  • Experience in a leadership or mentorship role within a data analytics or business intelligence team.

  • Familiarity with geospatial analysis, web development principles, or specific program leadership reporting structures

Clearance Requirements:

  • Must have a current/active TS/SCI security clearance and be willing and able to obtain a polygraph.

Physical Requirements:

  • The person in this position must be able to remain in a stationary position 50% of the time. Occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, via email, phone, and or virtual communication, which may involve delivering presentations.


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