At ABB, we help industries run leaner and cleaner—and every person here makes that happen. You’ll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the world.
This position reports to:
Digital Solution Engineering Specialist__
Run What Runs the World
At ABB, we help important industries outrun - leaner and cleaner.
Every person here makes that happen. By rethinking, rewiring, and improving, we combine the world’s best minds and technologies to elevate performance to a whole new level.
Because at ABB, progress is an expectation - for you, your team, and the world. As a [Data Science & AI Specialist], you’ll take on challenges that transform industries and drive innovation. We give you the market-leading expertise, technology, and opportunity, and you own the challenge to make an impact that matters.
It won’t always be easy. Growing takes grit. Innovating takes the courage to try, fail, learn, and succeed. But at ABB, you’ll never run alone.
Your role and responsibilitiesIn this role, you will have the opportunity to deliver and implement analytics strategy in one or more functional areas. Each day, you will drive data-driven strategy and decision making for predictive analytics and optimization by leveraging Artificial Intelligence (AI) and Machine Learning (ML). You will also showcase your expertise by building and maintaining large-scale statistical models that turn billions of data points into insights and actions.
The work model for the role is:onsite
This role is contributing to the ELDS in China. Main stakeholders are Digital System Engineer and manager.
You will be mainly accountable for:
- 1. Virtual Power Plant Trading Algorithm Development
Design and implement aggregation control algorithms and trading optimization models for Virtual Power Plants (VPP)
Research multi-objective optimization algorithms for coordinating generation, grid, load, and storage systems to support electricity market trading decisions
Develop real-time power balance and dispatch forecasting models
2. Intelligent Agent Algorithm Development
Develop distributed decision-making agents to support autonomous operation and management of microgrids
Improve the complete perception-decision-execution chain of embodied intelligent systems
3. Power Distribution Equipment Asset Health Assessment
Build device state monitoring and health assessment algorithm models
Research and implement predictive maintenance algorithms
Perform anomaly detection and fault warning using multi-source data
4. Data-Driven Application Exploration
Process time series data from power systems, perform feature engineering and model optimization
Participate in algorithm validation and implementation in real-world scenarios
5. Technology Transformation and Collaboration
Collaborate with cloud platform teams to implement algorithm engineering
Write technical documentation and algorithm white papers, and summarize best practices
Our team dynamics
You will join a dynamic team, where you will be able to thrive.
Qualifications for the role
- 1. Education & Background
Full-time bachelor's degree or above in Electrical Engineering, Automation, Computer Science, Software Engineering, Applied Mathematics, or related fields
2. Programming Skills
Proficiency in at least one of the following programming languages: Python, Golang, or Java
Strong awareness of code standards and engineering best practices
3. Algorithm Foundation
Familiarity with common machine learning and deep learning algorithms (supervised learning, unsupervised learning, reinforcement learning, etc.)
4. Data Processing
Proficiency with database tools such as PostgreSQL (PgSQL)
5. Soft Skills
Strong learning ability, communication skills, and stress tolerance / ability to work under pressure
6. Preferred Qualifications (Plus Points)
Understanding of fundamental principles of power systems or knowledge of smart grid concepts
Project experience with time series forecasting, anomaly detection, or related applications
Familiarity with energy sector application scenarios such as microgrids, virtual power plants, and demand-side response
Why ABB?
A global market leader redefining industries through technology and expertise.
- Results that matter—what we run here, runs the world.
- Autonomy & Ownership—we trust you to implement solutions.
- Run What Runs the World—join a team that drives progress forward.
Join us. Be part of the team where progress happens, industries transform, and your work shapes the world.
Run What Runs the World.
Building a cleaner, smarter future takes all kinds of minds: the curious, the courageous, and the creative. That's why we welcome people from all backgrounds and experiences.
Ready to make an impact?
Apply today or visit https://www.abb.com to learn more about the impact of our solutions across the globe.
Skills Required
- Full-time bachelor's degree or above in Electrical Engineering, Automation, Computer Science, Software Engineering, Applied Mathematics, or a related field
- Proficiency in at least one of Python, Golang, or Java
- Understanding of code standards and engineering best practices
- Familiarity with supervised, unsupervised, reinforcement learning, and other machine learning or deep learning algorithms
- Proficiency with database tools such as PostgreSQL
- Strong learning ability, communication skills, and ability to work under pressure
- Understanding of power-system principles or smart-grid concepts
- Project experience with time-series forecasting, anomaly detection, or related applications
- Familiarity with energy-sector applications such as microgrids, virtual power plants, and demand-side response
ABB Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about ABB and has not been reviewed or approved by ABB.
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Healthcare Strength — Healthcare coverage is described as comprehensive, with medical, dental, vision, mental health support, and disability and life insurance included. Immediate eligibility in some roles reinforces the sense of dependable core coverage.
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Leave & Time Off Breadth — Time-off offerings are described as broad, including paid holidays, sick days, volunteer time, sabbaticals, and, in some cases, 25 days of PTO. Flexible scheduling and remote-work options add to perceived time-off and flexibility value.
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Retirement Support — Retirement benefits are positioned as robust, including a 401(k) with company contributions or matching and, in some cases, profit sharing or pension savings. Stock purchase/share acquisition programs complement longer-term savings options.
ABB Insights
What We Do
ABB is a leading global technology company that energizes the transformation of society and industry to achieve a more productive, sustainable future. By connecting software to its electrification, robotics, automation and motion portfolio, ABB pushes the boundaries of technology to drive performance to new levels. With a history of excellence stretching back more than 130 years, ABB’s success is driven by about 110,000 talented employees in over 100 countries. www.abb.com
