Jobs Companies ABB Talent Pool -FP&A- Data Scientist / Analytics Specialist / Data & AI Specialist

About this Talent Pool -FP&A- Data Scientist / Analytics Specialist / Data & AI Specialist role at ABB

ABB · Onsite · Bangalore, Karnataka, India

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:

Lead Talent Acquisition


 

Your role and responsibilities

In this position, you will be able to work with essential stakeholders to create, execute, and support the onboarding of digital solutions and the integration of digital platforms into the customer business setting, along with their ongoing operations and upkeep.

The work model for the role is: #LI Onsite, #LI Hybrid

This role is contributing to the ABB Business in Bangalore.

You will be mainly accountable for:

  • Oversee the entire process of delivering analytics solutions—starting from problem identification and data analysis to model creation and insight presentation—while ensuring alignment with business goals.
  • Collaborate with senior leaders and subject matter experts to understand strategic objectives, translate them into actionable analytics questions, and identify opportunities for data-driven impact.
  • Guide teams in applying advanced analytical techniques such as statistical modelling, machine learning, and optimization to generate insights and deliver high-value recommendations.
  • Effectively convey intricate results through data storytelling and visual representation; oversee analytics demand and long-term strategy while guiding less experienced team members and promoting a culture of collaborative learning.

Qualifications for the role: 

  • MBA or Bachelor's/master’s degree in a quantitative discipline, such as mathematics, statistics, engineering, computer science, economics or finance.
  • 2-17 years of relevant experience in business analysis, data science, or consulting in a manufacturing/engineering or related industry.
  • Familiarity in programming languages, such as Python, R, and knowledge in data platforms and tools, such as AWS, Azure, Tableau, Power BI, or Qlik.
  • Proficient understanding of a variety of analytical methods, including regression, classification, clustering, time series analysis, optimization, simulation, and generative AI, as well as the capability to implement these techniques in practical scenarios.
  • Effective communication and noted leadership attributes.
  • Extensive understanding of various functional domains, including finance, operations, sales, account management, and supply chain is beneficial. 

A future opportunity

This role is part of our talent pipeline, which means it’s not currently open, but we’re always looking for curious minds, bold thinkers, and people who want to make an impact.

Click Apply to express your interest and be considered for future opportunities that match your experience and aspirations.

At ABB, we welcome people from all backgrounds and believe that diverse perspectives help us build a cleaner, smarter future.

Apply today or visit https://www.abb.com to learn more about how we help run what runs the world.

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About ABB

Why ABB Working at ABB gives you the opportunity to contribute to a healthier and more prosperous world. Add to your story by joining a passionate team, focused on pushing the boundaries of technology to drive performance, shape new business models and find new ways of working that benefit our customers, partners and society. We want you to be proud of being part of ABB. We care At ABB, we care about our people and their stories. We create safe, fair, equitable and inclusive working environments in which our people can succeed and develop, regardless of gender, ethnicity, sexual orientation or cultural, religious or social background. Diverse teams make us stronger. ABB is also committed to

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