Sabre Off Campus Drive 2026 – Data Science Engineer & Multiple Roles

Sabre has announced hiring opportunities through its Off Campus Drive 2026 for Data Science Engineer and other positions. Opportunities are available in Bangalore and Mumbai, with roles suitable for both freshers and experienced candidates depending on the position.

Job Details

Lead Data Science Engineer – Responsibilities

• Work with and combine large datasets.
• Organize and classify data appropriately.
• Analyze large volumes of information and derive insights.
• Develop and improve predictive models.
• Design solutions for data integration, visualization and analytics.
• Collaborate with data and application developers.
• Improve and simplify data models.
• Enhance data usability.
• Support data governance systems.
• Help develop frameworks for analytics and business reporting.

Eligibility & Skills

Candidates should have knowledge of:

• Python, R or SQL
• Data analysis and statistics
• Basic Machine Learning concepts
• Databases and data management
• Data visualization tools
• Data analytics
• Problem-solving and analytical skills
• Handling large datasets
• Communication and teamwork

Freshers may apply for suitable positions where the job requirements permit.

Qualification

Depending on the position, candidates may be eligible with qualifications such as:

• BA
• B.Com
• B.Tech / relevant technical degree
• MBA
• PGDM
• CA
• Other relevant graduate/postgraduate qualifications

Job Location

Bangalore & Mumbai

How to Apply

Interested candidates should review the specific job requirements and apply through the official Sabre recruitment process. Candidates should ensure that their resume highlights relevant skills in data analytics, programming, databases, machine learning and visualization where applicable.

About Sabre

Sabre is a global travel technology company providing software, data and technology solutions to airlines, hotels and other travel businesses. Its technology areas include travel platforms, cloud solutions, data analytics, artificial intelligence and machine learning.