At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we’ll give you what you need to make it happen. It won’t always be easy, growing takes grit. But at ABB, you’ll never run alone. Run what runs the world.
This Position reports to:
Data Science & AI Specialist
Your role and responsibilities
In this role, you will have the opportunity to shape the future of data-driven decision making and AI innovation within ABB. You will contribute to building robust data infrastructure and analytics solutions, and maintaining cutting-edge generative and agentic AI systems that empower the Digital Agile Unit and the Data Insight team to deliver actionable insights and new AI features. Each day, you will apply your expertise in data engineering, data science, and AI to design scalable data pipelines, optimize data workflows, maintain LL-M-based solutions, and enable advanced analytics that drive strategic business decisions.
The work model for the role is: hybrid.
Location: Italy or Switzerland
This role is contributing to the Digital Platforms & Capabilities Agile Unit in Electrification Smart Power.
You will be mainly accountable for:
• Design and Build Scalable Data Pipelines: Develop and maintain robust data engineering solutions using Databricks and PySpark to process, transform, and integrate large-scale datasets from multiple sources.
• Enable Data-Driven Decision Making: Create and optimize data models, analytics frameworks, and reporting solutions that provide actionable insights to business stakeholders and leadership teams.
• Maintain and Optimize Generative AI Solutions: Oversee the deployment, monitoring, and continuous improvement of LLM-based applications, including generative and agentic AI systems. Ensure reliability, performance, and cost-effectiveness of AI solutions in production.
• Develop and Refine AI Agents: Build and maintain intelligent agents that leverage Large Language Models for automated decision-making, data analysis, and business process optimization. Implement prompt engineering strategies and fine-tuning approaches to enhance agent performance.
• Lead End-to-End Data Projects: Take ownership of data initiatives from requirements gathering and architecture design through implementation, testing, and deployment in production environments.
• Collaborate Across Functions: Work closely with business analysts, data scientists, product owners to understand data needs and deliver solutions that support strategic decision-making processes.
• Promote Best Practices and Innovation: Champion data engineering and AI excellence, implement DataOps and MLOps practices, mentor team members, and stay current with emerging technologies in the data engineering, analytics, and generative AI.
Our Team Dynamics
Our teams support each other, collaborate, and never stop learning. Everyone brings something unique, and together we push ideas forward to solve real problems. Being part of our team means your work matters - because the progress we make here creates real impact out there.
Qualifications for the Role
• MSc or PhD in Computer Science, Data Engineering, Computer Engineering, Applied Mathematics, Statistics, or a related field.
• Minimum 5 years of experience in data engineering and/or data science roles, preferably in industrial, energy, or technology sectors.
• Expert-level proficiency in Databricks and PySpark for building distributed data processing pipelines. Strong command of Python and SQL for data manipulation, transformation, and analysis.
• Proven experience with Large Language Models (LLMs): Hands-on experience deploying, maintaining, and optimizing generative AI solutions. Proficiency in prompt engineering, RAG (Retrieval-Augmented Generation) architectures, and agentic AI frameworks (e.g., LangChain, LlamaIndex, AutoGen).
• Experience with cloud data platforms (e.g., Azure, AWS), data warehousing concepts, ETL/ELT processes, and modern data stack tools. Familiarity with data orchestration tools (e.g., Apache Airflow) is a plus.
• Knowledge of data modeling, data governance, and analytics best practices. Experience with visualization tools (e.g., Power BI, Tableau) is desirable.
• Analytical thinker with a proactive, problem-solving attitude.
• Comfortable working in agile environments and translating complex business requirements into technical solutions.
• Fluent in English, both written and spoken.
What's in it for you?
We empower you to take the lead, share bold ideas, and shape real outcomes. You'll grow through hands-on experience, mentorship, and learning that fits your goals. Here, your work doesn't just matter, it moves things forward.
More about us
ABB Smart Power provides energy distribution solutions for data centers, industrial and manufacturing plants, critical infrastructure and commercial buildings. The Division's technical teams work closely with industry partners, delivering advanced solutions that support rapid growth, energy transition, and sustainability objectives. The Division's portfolio includes industrial circuit breakers, low-voltage systems, motor starting applications, and safety devices like switches and relays. Its Power Protection unit supports the world's largest data center companies with advanced energy-efficient UPS solutions. The Division's ABB Ability™ Energy Manager provides a scalable, easy-to-use platform that helps organizations save energy and reduce CO2 emissions.
Call to Action
Guide the future. This is where innovation accelerates, industries are reimagined, and your impact powers the world ahead. Run What Runs the World.
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We value people from different backgrounds. Could this be your story? Apply today or visit www.abb.com to read more about us and learn about the impact of our solutions across the globe.