Thursday, January 15, 2026

Genpact Off Campus Drive 2026 | Associate – Data Science Hiring in Bangalore | Placement Officer

 

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Genpact Associate Data Science Off Campus Drive 2026

Genpact Off Campus Drive 2026 | Associate – Data Science Hiring in Bangalore | Placement Officer

Genpact has officially announced its Off Campus Drive 2026 for the role of Associate – Data Science (Job ID: ANA020151) in Bangalore. This opportunity is ideal for freshers and recent graduates who are passionate about Data Science, Analytics, AI, and Machine Learning and want to work in an AI-first, innovation-driven global organization.

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🔍 Detailed Summary (Quick Overview)

Genpact is hiring freshers with strong foundations in Python, SQL, statistics, and machine learning to support Commercial Analytics and Customer Analytics initiatives. As an Associate – Data Science, candidates will work on real-world datasets, analytics models, data pipelines, and business insights that directly impact global enterprises.

This role offers exposure to advanced analytics, AI solutions, and enterprise-scale problem-solving, making it a strong launchpad for a long-term career in Data Science and AI.


🏢 About Genpact

Genpact (NYSE: G) is a global advanced technology services and solutions company with over 140,000 professionals worldwide. Known for its AI Gigafactory, Genpact leads large-scale AI transformation initiatives, from advanced analytics and machine learning to agentic AI solutions.

Powered by curiosity, courage, and innovation, Genpact helps enterprises stay ahead through data, technology, and AI-driven transformation.


📌 Job Overview – Genpact Off Campus Drive 2026

Particulars

Details

Company

Genpact

Job Role

Associate – Data Science

Job ID

ANA020151

Job Type

Full Time

Experience

Fresher

Job Location

Bangalore

Education

Bachelor’s / Master’s

Posted On

12 January 2026

Last Date

11 February 2026


📄 Role Description – Associate Data Science

The Associate – Data Science role supports Commercial Analytics enablement, focusing on data-driven decision-making, customer analytics, and go-to-market strategies. You will be responsible for delivering actionable insights, building analytics models, and working with structured and unstructured datasets.

This role is well-suited for candidates who enjoy hands-on coding, analytics problem-solving, and business impact.


🛠 Key Responsibilities

·         Develop and implement analytics and machine learning models using Python and SQL

·         Work with statistical models such as:

o    Linear & non-linear regression

o    Bayesian and mixed models

o    Classification models

o    Unsupervised learning (K-Means, Hierarchical clustering)

·         Apply strong understanding of statistical concepts and model assumptions

·         Handle large-scale structured and unstructured datasets

·         Create dashboards and visualizations using Power BI or Tableau

·         Automate data preparation, pipelines, and reporting

·         Deliver business insights to support commercial decision-making

·         Own assigned tasks and deliver results within tight deadlines

·         Communicate insights clearly using presentations and reports


🎓 Eligibility Criteria – Who Can Apply?

Educational Qualification:

·         BE / BTech

·         BCA / MCA

·         BSc / MSc (Science or related fields)

Eligible Candidates:

·         Freshers

·         2025 & 2026 pass-outs are eligible

·         Candidates with strong interest in Data Science & Analytics


🧠 Essential Skills Required

Technical Skills:

·         Strong programming knowledge in Python & SQL

·         Understanding of Statistics & Machine Learning

·         Experience with data visualization tools (Power BI / Tableau)

·         Hands-on with MS Excel & PowerPoint

·         Data modeling and reporting skills

Soft Skills:

·         Strong verbal and written communication

·         Ownership mindset with minimal supervision

·         Analytical thinking and problem-solving ability

·         Ability to work under pressure and tight timelines

·         Positive work ethic and customer-focused approach


💰 Expected Salary (Industry Estimate)

While Genpact has not disclosed the salary, based on current market standards:

·         Expected CTC: 5 LPA – 8 LPA (for Data Science freshers)

·         Salary may vary based on skills, interview performance, and academic background.


💡 Pro Tips to Crack Genpact Off Campus Drive 2026

·         Strengthen Python, SQL, and Statistics fundamentals

·         Revise machine learning algorithms and use-cases

·         Practice SQL queries and data manipulation

·         Prepare 1–2 Data Science projects for discussion

·         Be ready to explain business impact of analytics

·         Focus on clear communication of insights


❓ Frequently Asked Questions (FAQs)

Q1. Is this role open for freshers?

Yes, this role is specifically suitable for freshers.

Q2. Is prior work experience mandatory?

No, prior experience is not mandatory.

Q3. What is the job location?

The role is based in Bangalore, India.

Q4. What skills are most important?

Python, SQL, Statistics, Machine Learning, and Data Visualization.

Q5. Is Genpact charging any application fee?

No. Genpact does not charge any fees for job applications.

Are You Searching for Experienced Jobs: Click Here 

✅ Final Conclusion

The Genpact Off Campus Drive 2026 for Associate – Data Science is a high-quality opportunity for freshers aiming to build a career in AI, Analytics, and Data Science. With exposure to enterprise-level analytics, AI-driven solutions, and global clients, this role offers strong learning, growth, and long-term career potential.

For more verified off-campus drives, fresher jobs, and internships, keep following placement-officer.com. 

🔗 Apply Link: Click Here To Apply for Genpact 

 

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Disclaimer
The recruitment details shared above are for informational purposes only and have been obtained from the organization’s official website. We do not guarantee any job placements. Recruitment will be conducted according to the company's official process. We do not charge any fees for sharing this job information.

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