Imagine having the power to stress-test an entire power grid against a hurricane or thunderstorm before the clouds even gather. That is the reality we are creating at Neara.
We use advanced machine learning to create engineering-grade, physics enabled digital twins of electricity grids across four continents, this helps asset owners understand their biggest challenges and bring the most viable solutions to life across millions of kilometres of infrastructure.
By simulating extreme weather and structural stress at a network-wide scale, we empower the world’s largest utilities to pinpoint risks, optimise investments and build a more resilient global energy future.
Our team is a collection of brilliant minds who are fanatical about making a tangible difference in the real world, utilising AI and machine learning to accelerate everything from data classification to complex scenario analysis. We have built a special culture where innovation thrives because everyone owns the mission and we need smart, creative people to help us scale this impact to every corner of the globe.
Data Scientist
As a Data Scientist, you will analyze a rich array of real-world data to inform our digital twin model of the electric grid, including topography, LIDAR, imagery, vegetation, structural loading, and electrical connectivity. Your work will drive product direction with high visibility, highlight grid expansion opportunities, identify aging and risky infrastructure, and help our customers understand where to build and invest. Working alongside ML Engineers and product-facing engineering teams, your ideas will ultimately take shape as new product features that expand what Neara is capable of doing, and as new infrastructure buildouts for the energy grid itself.
What You Will Do:
Model accurate digital twin electric networks from imperfect data using AI, deep learning, and classical ML algorithms.
Surface meaningful analytics and metrics such as wildfire risk that help guide customer buildout of electrical infrastructure.
Advise the company on what our data says and use that understanding to inform Neara’s strategy.
Conduct experiments and A/B tests to improve our modeling of the grid.
QA and improve our predictive models; identify data issues such as distribution drift, overfitting, or test set leakage.
Craft scalable data pipelines to work with a variety of data sources, including LiDAR, aerial photography, photogrammetry and GIS.
Mentor others in best practices for model training, data analytics, and building data-driven products.
Who You Are:
A data scientist, ML scientist, data engineer, or similar with 3-6 years of experience at technical, data-driven companies operating in complex environments. Geospatial data or power grid experience are a plus.
You have a strong intuition for data with good communication skills and experience sharing your findings with customers and senior leaders.
Demonstrated experience with AI and Machine Learning and a keen intuition for data modeling.
Experience translating your models into both experiments and deployable software.
Proficiency in data storage and ETL technologies, such as Parquet, Databricks, Snowflake, PostgreSQL, Spark, and DynamoDB.
Comfort working in an AWS cloud environment.
Excellent problem-solving skills as applied to new domains.
Ability to work effectively asynchronously and cross-functionally on novel, cutting-edge problems.
Ability to own problems and proactively approach challenges.
Prior experience in the energy industry is a plus.
What We Offer:
Work with a sophisticated, multi-modal data stack, including LiDAR, satellite imagery, and physics-enabled digital twins, to solve high-stakes engineering problems that most data scientists only see in theory.
Your models will directly prevent wildfires and mitigate disaster risks across millions of kilometers of infrastructure, moving beyond "digital metrics" to harden the real-world energy grid.
You won't just build models; you’ll advise the company on data strategy and see your experiments evolve into core product features that dictate how the world’s largest utilities invest.
We offer a highly competitive compensation package with a significant equity component, ensuring you are a true stakeholder in our mission and benefit directly from the company’s rapid global scale.

Neara is the first physics-enabled digital twin that combines engineering-grade analysis at the individual asset level with network-wide scale. It goes beyond visualization, capturing real-world spatial relationships — and how they change in any condition — that are essential to answering any ‘what-if’ question about your network:
• Between assets and their surroundings — in a >50 mph SW wind scenario, where will assets breach safe clearance thresholds?
• Between assets themselves — if one pole fails, which other ones will go with it?
• Across layers of workflows — if a tower gets moved inland, how will vegetation encroachment zones shift?
It applies the same physics-verified rigor used in engineering design to the full set of critical infrastructure challenges — from asset management and wildfire mitigation to resiliency and reliability, and design and construction. It connects the granular perspective engineers need to maintain a structurally sound, safe system with the network-wide view leaders need to improve reliability and efficiency. With Neara, daily realities upgrade from:
• Chasing risks by problem area to prioritizing context-agnostic risks by total network impact
• Costly and inefficient manual processes to precise, automated workflows
• Messy, anecdotal, project justification to easy-to-audit business cases that hold up from the field to the boardroom and courtroom
Every analysis, from a single pole’s loading to a proposed new transmission route, is grounded in the same structural ground truth so infrastructure owners can prioritize and validate network investment to maximize impact and capital efficiency in every context on every timescale.
Trusted by global utilities including Southern California Edison, CenterPoint Energy, HEDNO, and ESB, Neara has modeled millions of assets across four continents — reducing key processes from years to hours, restoring service >3× faster, and saving tens of millions in annual costs.