Data Scientist

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:

Senior Manager - AI & Advanced Analytics

Your role and responsibilities:

In 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: LI #Hybrid

This role is contributing to the Process Automation Business of Energy division in Bangalore .

You will be mainly accountable for:

- Support cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
- Implement wide range of projects, building large-scale distributed fine tuning, deploying LLMs on GPU instances for real-time use cases, designing robust, secure infrastructure.
- Build, develop, and maintain analytical models that support key business decisions.
- Oversee the scaling of analytics projects on cloud platforms to ensure seamless functionality and integration with business operations

-

Qualifications for the role (Mandatory)

- Master's degree in computer science, Statistics, Applied Mathematics, or related scientific field.
- 5+ years of experience in a data science role, with a focus on analytics and data modeling in cloud environments.
- Relevant experience with Large Language Models, NLP, large-scale systems and data sets, deep learning, or adjacent fields.
- Well versed with production data pipelines and applications
- Strong problem-solving skills and passionate about GenAI to contribute to user-facing product
- Familiarity with NoSQL databases, enterprise search technologies, and recommendation systems
- Command using statistical computer languages (R, Python, SQL, etc.), SQL, Spark to manipulate data and draw insights from large data sets.

More about us (Mandatory)

The Energy Industries Division serves a wide range of industrial sectors, including hydrocarbons, chemicals, pharmaceuticals, power generation and water. With its integrated solutions that automate, digitalize and electrify operations, the Division is committed to supporting traditional industries in their efforts to decarbonize. The Division also supports the development, integration and scaling up of new and renewable energy models. The Division's goal is to help customers adapt and succeed in the rapidly changing global energy transition. Harnessing data, machine learning and artificial intelligence(AI), the Division brings over 50 years of domain expertise delivering solutions designed to improve energy, process and production efficiency, as well as reduce risk, operational cost and capital cost, while minimizing waste for customers, from project start-up and throughout the entire plant lifecycle.

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.

Fraud Warning: Any genuine offer from ABB will always be preceded by a formal application and interview process.
We never ask for money from job applicants.

For current open positions you can visit our career website https://global.abb/group/en/careers and apply.

Please refer to detailed recruitment fraud caution notice using the link https://global.abb/group/en/careers/how-to-apply/fraud-warning.

---