Principal Engineer – Data Science

Overview

Lead technical data science initiatives, provide expertise, and guide engineering projects.

Requirements

• machine learning
• nlp
• time series
• computer vision
• lean
• problem analysis

What You Bring

-Able to pursue Engineering integrity in adverse conditions -Able to interface effectively with most levels of the organization -Preferably having taken a Senior Engineer or Senior Researcher role -Problem analysis and resolution skills -Lean experience preferred -Strong oral and written communication skills -Experience with state-of-the-art machine learning technologies & techniques in at least one of those domains: Natural Language Processing, Time Series, Computer Vision -Strong interpersonal and leadership skills -Ability to work across organizations in a matrix environment

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About Ge Vernova

-Traces roots back to Edison and Alstom, merging power, renewable, digital & financial wings. -Headquartered in Cambridge, MA, crafts large-scale gas turbines, SMRs, wind turbines, hydro and grid tech to fuel economies. -On the nuclear front, advancing small modular reactors (like BWRX‑300) in partnership with utilities and supporting semiconductor projects. -Wind prowess spans onshore, offshore and blade making—with key sites like Dogger Bank offshore and blade plants in Spain. -Electrification arm tackles grid stability: HVDC, transformers, storage, conversion, plus GridOS software powering smarter infrastructure. -Weaves finance and consulting through energy-infrastructure investments, funding solar farms to pipelines via GE Energy Financial Services.

Sector Specialisms