Genpact, the Agentic Operations company, has been certified as a Best Firm for Data Scientists by Analytics India Magazine (AIM) through its workplace recognition programme. The certification is based on structured feedback from data science professionals within the organisation and evaluates how companies enable technical teams to contribute to enterprise decision-making and business transformation.
The certification survey assesses workplace culture, access to leadership, collaboration,learning opportunities, and the nature of analytical work delivered. AIM conducts an independent analysis of survey responses to understand how effectively organisations support data science teams in their day-to-day work. Companies participate in the programme to gather employee-led insights and review internal practices that support long-term technical capability development.
At Genpact, the certification recognises how data science teams work across the company and global client programmes, applying advanced analytics, machine learning, and AI to complex business problems for clients across industries including financial services, life sciences, manufacturing, and consumer goods.
Data Science at Enterprise Scale
Genpact’s data science practice is embedded within large-scale transformation programmes, giving data scientists exposure to some of the most complex analytical challenges in global enterprise. Teams work across the full spectrum of data science engagements, from exploratory analysis and model development through to production deployment and ongoing optimisation, ensuring that technical work translates directly into measurable client outcomes.
The company’s scale and multi-industry footprint mean that data scientists encounter varied business problems and datasets, supporting both technical depth and the development of domain expertise across different sectors.
Deeksha Gopalan, Lead Data Scientist at Genpact’s AI Practice and Innovation Labs,spoke about the culture that underpins this work and what the recognition reflects.
“Genpact provided the ideal ecosystem to adapt and move into building advanced AI solutions,” Deeksha Gopalan, Lead Data Scientist, AI Practice and Innovation Labs, Genpact, says.
“By combining deep domain expertise, advanced analytics, and engineering rigour, we work backwards from our clients’ ambitions to turn complex enterprise challenges into measurable impact.”
Collaboration Between Data Science and Business Teams
Data scientists at Genpact work closely with business analysts, domain experts, and client stakeholders throughout the lifecycle of each engagement. This cross-functional model ensures that analytical work remains grounded in business context and that insights are designed for practical application rather than theoretical value alone.
Employees describe an environment where data science teams are involved not only in technical delivery but also in problem framing and solution design, giving practitioners a clearer view of how their work influences client decisions and business performance.
Learning, Growth, and Technical Development
Genpact invests in structured learning pathways and technical communities that support data scientists across different career stages. Platforms including Genome and AI Guru allow employees to develop new skills in the flow of work, while access to emerging technologies such as generative AI and agentic AI is embedded within live client programmes rather than kept separate from day-to-day delivery. Arjun Seth, Lead Data Scientist at Genpact’s AI Practice and Innovation Labs, described his own trajectory at the company and what has shaped his growth there.
“At Genpact, data science is about more than models. It is about solving real business problems with the right AI,” Arjun Seth, Lead Data Scientist, AI Practice and Innovation Labs, Genpact, says. “Today, I build generative and agentic AI solutions that help enterprises solve complex challenges and create measurable impact.”
Certification and the Data Science Talent Landscape
Across industries, demand for experienced data science professionals continues to grow as organisations seek to unlock the value of their data assets and scale AI-driven decision-making.
Beyond compensation, professionals increasingly seek roles that offer learning through practice, ownership of analytical work, and clear links between data science and business outcomes.
The Best Firm for Data Scientists certification by AIM is a benchmark for organisations building credible, high-performance data science teams. For Genpact, the recognition reflects the environment it has built for its data science community, one where technical
rigour, client proximity, and structured career development come together.
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