Data Scientist

Sagility India is hiring a Data Scientist in Bengaluru, India. The details below summarise the employer's own listing; applications happen on the original posting, not on GetFirstJob.

What the work involves

• Analyze large and complex datasets to identify trends, patterns, and business opportunities
• Build, train, and deploy Machine Learning models for predictive and prescriptive analytics
• Develop and maintain data pipelines, models, and analytical solutions using Python and SQL
• Work on AI/ML use cases to solve business problems and improve decision-making
• Collaborate with business teams to gather

What they are looking for

• We are looking for an experienced Data Scientist with 3+ years of experience in building data-driven solutions and deriving business insights through advanced analytics, machine learning, and AI techniques
• The ideal candidate should have strong hands-on experience in Python, SQL, Machine Learning, along with the ability to work closely with business stakeholders to understand
• and deliver impactful solutions
• , understand pain points, and translate them into data solutions
• Perform data cleaning, preprocessing, feature engineering, and model evaluation
• Create dashboards, reports, and presentations to communicate insights to stakeholders
• Ensure data quality, accuracy, and consistency across different sources
• Work with cross-functional teams including engineering, product, and business teams for end-to-end solution delivery

Pay and dates

The listed pay is Not Disclosed. The source page shows a relative posting age rather than an exact posting date; this role was first seen and checked as open on 4 November 2026. The source page showed it as posted “2 days ago” when captured; that is a relative stamp, not an exact date.

How to apply

Apply on the listing where the employer published this role: Data Scientist at Sagility India. We found this listing via naukri.com; it was still open when we checked on 4 November 2026. If the posting has closed or the link fails, the role may have been filled.