Company description
ABB is a pioneering global leader in electrification and industrial automation, driving a sustainable and resource-efficient industrial future.
Operating with a rich legacy spanning over 140 years, the organization employs more than 105,000 skilled professionals around the globe.
The company merges specialized engineering knowledge with cutting-edge digital technology under its core tagline, Engineered to Outrun.
ABB helps global industrial clients achieve peak operational performance, heightened safety, superior energy productivity, and long-term sustainability.
Publicly traded on the SIX Swiss Exchange (ABBN) and Nasdaq Stockholm (ABB), the company maintains a robust international presence.
ABB is deeply committed to nurturing an inclusive, diverse workplace that values individual differences across gender, abilities, and backgrounds.
Within the Information Systems (IS) division, ABB delivers reliable, high-value tech infrastructure to keep the enterprise ahead of market competition.
The corporate culture revolves around core operating values: courage, care, curiosity, and multi-disciplinary cross-functional collaboration.
Employees are continuously empowered to lead high-impact initiatives, grow professionally, and actively participate in creating a cleaner world.
ABB maintains strict recruitment standards and ensures candidate security through clear, transparent, and direct global hiring practices.
Profile overview
As a core member of the People Analytics team, the Data Scientist delivers quantitative insights to business and HR leadership.
The role directly supports global strategic planning across key organizational dimensions including Talent, Performance, and Culture.
Reporting directly to the Team Lead or Global Head of People Analytics, the candidate will spearhead high-impact analytical initiatives.
The position demands an agile, quick-reacting approach to turn complex workforce data into dependable, high-quality business intelligence.
Candidates will oversee the complete project lifecycle, from initial requirement gathering and data extraction to model building and executive presentations.
You will partner closely with global cross-functional units to identify underlying workforce challenges and craft data-driven solutions.
A primary objective involves designing and maintaining key workforce KPIs using interactive reporting frameworks and enterprise-grade dashboards.
The professional will build end-to-end decision science architectures, combining predictive statistical modeling with robust data engineering processes.
The role requires converting unstructured enterprise datasets into actionable stories using advanced processing techniques like natural language processing.
The candidate will work in a hybrid setup, combining flexible remote work with active on-site collaboration in a supportive environment.
The work directly shapes global workforce strategy, optimizing performance, cultural development, and employee experience across all divisions.
The position suits analytical thinkers passionate about applying data science, consulting methodologies, and predictive modeling to human capital problems.
Candidates will leverage modern analytics stack tools, cloud data warehouses, and data lakes to build maintainable enterprise solutions.
Through predictive analysis, the Data Scientist enables ABB leadership to make proactive, highly informed workforce allocation decisions.
Qualifications
Must hold a Bachelor’s degree or Master’s degree in Applied Statistics, Mathematics, Engineering, Operations Research, or a related quantitative field.
Demonstrates solid quantitative aptitude, strong analytical initiative, and deep comfort navigating complex, high-volume datasets.
Requires 0 to 3 years of hands-on technical experience in data science, advanced analytics, or quantitative business consulting.
Proven practical coding experience using programming languages such as Python or R, alongside exposure to MS Azure infrastructure.
Demonstrated hands-on technical proficiency with Machine Learning algorithms, Artificial Intelligence principles, and Natural Language Processing (NLP).
Strong working knowledge of statistical modeling methods including regression analysis, decision trees, forecasting, clustering, and neural networks.
Familiarity with database architectures, SQL, NoSQL systems, Snowflake data platform, and modern enterprise data lakes.
Direct understanding of Software Development Life Cycle (SDLC) methodologies and enterprise Extract, Transform, Load (ETL) data management pipelines.
Expertise in creating compelling visual analytics and executive dashboards utilizing Microsoft Power BI, Advanced Excel, and VBA frameworks.
Excellent ability to identify subtle patterns within fragmented data and craft clear, persuasive narratives for technical and non-technical stakeholders.
Proficient verbal and written English communication skills, with a track record of presenting analytical insights to senior business leaders.
Previous professional exposure to HR systems and enterprise management software like SAP HCM or Workday HCM is highly beneficial.
Prior experience in consulting environments or building full-scale decision science tools is considered a distinct advantage for this role.
Strong interest in workforce analytics, organizational development, human resources strategy, and predictive workforce planning models.
Additional info
The official Requisition ID for this specific position at ABB is JR00027125.
The job is structured under a Regular, Full Time arrangement following ABB's official Hybrid working policy guidelines.
Primary position location is based out of ABB's office hub in Bangalore, Karnataka, India.
The position sits structurally within the Information Systems (IS) enterprise function, driving digital workforce capabilities.
Employees enjoy continuous learning opportunities, professional mentorship, and comprehensive personal growth resources.
ABB maintains strict security guidelines and will never request payment or financial fees from job candidates during recruitment.
All legitimate career opportunities and offer letters follow official validation via the official ABB online job portal.
Candidates are required to satisfy all local ABB employment verification processes and background compliance steps prior to hiring.
The selection process emphasizes diversity and equal opportunity across all demographics, fostering an open and welcoming work environment.
Candidates can apply directly, review candidate privacy guidelines, or learn about career opportunities by visiting www.abb.com.
Please click here to apply.
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