Data Science Co-Op (Fall 2026) at LineVision, Inc.

Boston, Massachusetts, United States -

Full Time

Start Date

Immediate

Expiry Date

10 Jun, 26

Salary

25.0

Posted On

12 Mar, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Pandas, Numpy, Matplotlib, Jupyter Notebooks, Data Analysis, Statistical Reasoning, Hypothesis Formulation, Communication, AI Coding Assistants, Environmental Science, Weather Modeling, Geospatial Data, CFD

Industry

Utilities

Description

Description Turn real-world sensor and weather data into grid intelligence for the next generation of electricity infrastructure. LineVision deploys IoT sensors on transmission towers, generating continuous streams of environmental weather data and transmission line behavior that power our Dynamic Line Rating platform. As a Data Science Co-Op, you’ll dig into that data alongside experienced data scientists: formulating hypotheses, building analyses, and developing internal visualization tools that help drive higher accuracy and consistency. You’ll be trusted to contribute from day one, tackling real-world challenges at the intersection of physical science, weather modeling, and data analytics. Join our Boston team at LineVision, named a Built In Best Place to Work for three consecutive years. What will you do? Core Responsibilities and Key Performance Objectives Investigate patterns and anomalies in LineVision sensor and weather data streams by formulating and testing your own data-driven hypotheses, and communicating results through clear, compelling visualizations Collaborate closely with our Colorado-based Atmospheric Science team to support weather forecasting initiatives, including validating wind model inputs and outputs against ground-truth observations from our network of field-deployed weather stations Support the analysis and visualization of Computational Fluid Dynamics (CFD) simulations, helping the team understand how terrain, vegetation, and atmospheric conditions shape wind flow along transmission corridors Build and improve internal tools that help the Data Science team scale repeatable analytics across our growing network of sensor installation sites Contribute to algorithmic improvements for detecting rare, weather-driven grid events such as conductor galloping and icing Work closely with Software Engineering and Data Engineering teams to help productionize data science findings and deliver results to customers following our rigorous change management process Communicate technical results to diverse audiences, from atmospheric scientists and data scientists to business stakeholders, adapting your explanations to different technical backgrounds What do you need to succeed in this role? Strong Python programming skills and experience applying them to real problems Fluency with core data science tools: pandas, numpy, matplotlib, Jupyter notebooks Data analysis and statistical reasoning skills: can you tell a compelling story from noisy, high volume data? Scientific mindset: form hypotheses, validate results, and question unexpected outputs Strong communication skills with ability to explain technical concepts to non-technical audiences Comfort using AI coding assistants (Claude Code, Codex, GitHub Copilot, etc.) to accelerate development A genuine passion for environmental science, weather, or the physical world—we work at the intersection of climate, energy, and infrastructure Bonus: A background or coursework in atmospheric science, meteorology, environmental science, physics, or a related physical science Bonus: Exposure to geospatial or raster data (e.g. NetCDF, GeoTIFF, xarray) or numerical weather model outputs (HRRR, ERA5, etc.) Bonus: Familiarity with CFD or fluid dynamics concepts This role is a great fit for physical science or engineering students looking to make a pivot into data science, or data science students with a background in physical or atmospheric science looking to break into clean energy technology. Work Schedule The ideal candidate would be available for a minimum of 6 months, up to the full 8 month co-op term, working 40 hours a week. LineVision has a standard US holiday schedule, and up to a week of additional unpaid time off is permissible. Upon successful co-op completion, you will be considered for a full-time position upon graduation. Compensation: $25 per hour What does joining LineVision mean for you? Impact. Your talent, time, and energy will critically impact our success in accelerating our mission of providing utilities with grid intelligence to enable affordable, reliable power. Ownership. You will hold broad responsibilities with high autonomy and trust in a communicative, collaborative, and fast-paced environment. Flexibility. You will be empowered to maintain work-life balance with trust-based PTO and a flexible hybrid work schedule. Real World Innovation. You will join a motivated and high-performing team working with cutting edge, patented technology to help solve key obstacles to meet the demands of an AI-powered future. Who we are… LineVision is a grid-enhancing technology company enabling electric utilities to deliver affordable, reliable power and accelerate the electrification of the global economy. Our grid intelligence platform delivers the most accurate, network-wide dynamic line ratings and enables safer, more reliable grid operations with a combination of optical sensors and advanced environmental modeling. LineVision's global customer base includes eight of the ten largest US utilities, including National Grid, Southern Company, and Exelon. We are LineVisionaries: We are Innovators: we light the way with tenacious creativity and do good work. We are Empowered: With high trust and high autonomy, the floor is yours, and the opportunity is ours. We are Welcoming: Come as you are, our doors are open. We are better together. We are Trusted Partners: We elevate our customer champions through shared thought leadership. We deliver on commitments. We are All In: We are building a community of passionate individuals who want to dent the universe. At LineVision there’s no such thing as a "perfect" candidate. We are looking for exceptional people who want to make a positive impact through their work and facilitate an organization where everyone can thrive. So whatever background you bring with you, please apply if this role would make you excited to come to work every day. Meet our team, understand our mission: https://www.linevisioninc.com/about-us #LI-DNI

Responsibilities

Responsibilities include investigating data patterns and anomalies by testing data-driven hypotheses and communicating results through visualizations, while collaborating with the Atmospheric Science team on weather forecasting initiatives. The role also involves supporting the analysis of Computational Fluid Dynamics simulations and building internal tools to scale analytics.