📋 Job Details at a Glance 📍 Location Bengaluru, Karnataka, India 🏢 Company Sabre 👥 Experience 5-8 years 🎓 Qualification Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, Engineering, or a related technical discipline preferred 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹22–35 LPA 🏢 Industry Technology 🛠 Key Skills Python TypeScript Java GCP Vertex AI ADK BigQuery Dataflow Apache Beam Spark Senior Data Science Engineer at Sabre — Full Details & How to Apply Sabre is seeking a Senior Data Science Engineer in Bengaluru, Karnataka, India , where you'll design scalable AI pipelines and work with advanced technologies like Vertex AI. This role is pivotal in driving Sabre's innovative projects, particularly in the booming fields of AI and GenAI. The demand for skilled professionals in data science is surging, especially in technology sectors focused on AI solutions. This specific Senior Data Science Engineer role at Sabre is crucial as the company expands its capabilities in AI, positioning itself as a leader in travel technology solutions. Sabre , founded in 1960 , boasts over 10,000 employees globally and is known for its cutting-edge travel technology. The company's recent focus on enhancing its AI capabilities makes it an attractive employer for those looking to excel in the tech industry. We encourage 2023, 2024, 2025, 2026 graduates with a Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, Engineering, or a related technical discipline preferred to apply. Candidates should have 5-8 years experience , and the role offers a competitive salary ranging from ₹22–35 LPA . In this role, you'll gain hands-on experience with essential skills such as Python , TypeScript , Java , GCP , Vertex AI , ADK , BigQuery , Dataflow , Apache Beam , Spark , RAG , LLMOps , and Agentic AI . This unique exposure will not only enhance your technical expertise but also open doors to advanced career opportunities in AI and data science. 📊 Role Difficulty: Medium | Competition Level: High | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The Senior Data Science Engineer at Sabre is tasked with designing and implementing advanced AI solutions that enhance product offerings and optimize data workflows through innovative technologies. Design and implement scalable data pipelines using Apache Beam and Dataflow to optimize data processing workflows for improved efficiency. Develop GenAI and agentic systems leveraging Vertex AI to enhance Sabre's product offerings and meet evolving customer needs. Collaborate with cross-functional teams, including software engineers and product managers, to align AI solutions with business objectives and project goals. Monitor and analyze performance metrics to ensure the efficiency of AI models and data pipelines, utilizing BigQuery for data insights. Take ownership of projects from conception to deployment, ensuring high-quality production-grade AI solutions that meet industry standards. Document processes and communicate findings to stakeholders, facilitating knowledge sharing across teams and enhancing project transparency. Engage with clients to understand their needs and provide tailored AI solutions, enhancing customer satisfaction through effective communication. This role fosters a culture of ownership, allowing engineers to make a direct impact on the success of Sabre's innovative solutions and customer satisfaction. Required Skills & Technical Competencies The ideal candidate for the Senior Data Science Engineer role will possess a robust technical skill set essential for developing and deploying advanced AI solutions. Technical Skills Python — advanced — essential for developing data processing scripts and machine learning models to enhance AI capabilities. TypeScript — intermediate — used for building scalable applications, particularly in the context of Sabre's web-based tools. GCP — advanced — critical for deploying and managing AI solutions, ensuring efficient cloud operations. Vertex AI — advanced — leveraged for developing GenAI and agentic systems that enhance product offerings. BigQuery — advanced — utilized for data analysis and querying large datasets, essential for optimizing performance metrics. CI/CD — intermediate — knowledge of continuous integration and deployment practices to streamline the development workflow. When showcasing these technical skills in your resume or interview, emphasize specific projects and outcomes that demonstrate your proficiency and impact. Eligibility Criteria This role is designed for candidates with a strong technical foundation and relevant experience in AI and data science. Candidates must hold a Bachelor’s or Master’s degree in Computer Science , Data Science , AI/ML , Engineering , or related fields. Eligible batches include 2023 to 2026 , providing fresh graduates with a direct pathway into the tech industry. The role requires 5-8 years of experience, focusing on GenAI and agentic systems. A minimum CGPA of 7.0 is preferred, reflecting a solid academic background in technical disciplines. Having a portfolio or GitHub showcasing relevant projects can significantly enhance candidacy for this role. Documentation & Portfolio Requirements Ensure your resume is clear and concise, highlighting relevant projects and technical skills. Include links to your portfolio or GitHub to showcase your work effectively. Pro tip: Tailor your application to highlight specific experiences with Vertex AI and Apache Beam , as these are critical for this role. Salary for Senior Data Science Engineer at Sabre 💰 Compensation ₹22–35 LPA The advertised compensation for the Senior Data Science Engineer role at Sabre is ₹22–35 LPA . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for Senior Data Science Engineer Upskilling with the right resources significantly enhances your chances of selection for this specific role by aligning your skills with the job requirements. Recommended Courses & Resources Python — Essential for data manipulation and analysis in data science projects. TypeScript — Useful for building scalable applications and enhancing code quality. Java — Important for backend development and integrating data solutions. CI/CD — Critical for automating deployment and improving development workflows. KodNest — Provides hands-on experience with real-world data science projects. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to tailor the resume — Highlight specific skills mentioned in the job description. ❌ Neglecting relevant projects — Showcase experience in AI and data science. ❌ Overloading with generic phrases — Focus on specific achievements instead. ❌ Not preparing for technical interviews — Practice relevant coding challenges. ❌ Ignoring networking — Build connections within the industry. ❌ Submitting without proofreading — Ensure your application is error-free. Before You Apply — Checklist ✅ Research Sabre 's recent projects and technologies to tailor your application effectively. ✅ Prepare a portfolio that showcases your relevant projects and skills in data science. ✅ Ensure your resume includes specific keywords from the job description to pass ATS filters. ✅ Gather references who can speak to your technical abilities and work ethic. ✅ Review the application process on Sabre 's portal to familiarize yourself with requirements. ✅ Prepare for potential technical assessments by practicing coding problems relevant to data science. ✅ Follow Sabre on LinkedIn to stay updated on company news and job openings. ✅ Set reminders for application deadlines to ensure timely submission. Resume Tailoring & ATS Keywords for Senior Data Science Engineer Optimizing your resume for ATS is crucial for ensuring your application is seen by hiring managers for this role. ATS Keywords to Include Data Science Python GCP Vertex AI BigQuery Apache Beam GenAI Agentic AI CI/CD Dataflow Spark RAG Resume Tips for This Role Highlight relevant projects that demonstrate your proficiency in Python and data science methodologies. Focus on showcasing experience with GCP and AI technologies, as these are critical for this role. Include links to your portfolio or GitHub to provide tangible evidence of your skills and projects. Optimize your resume for ATS by incorporating keywords from the job description, particularly technical skills. Avoid including unrelated work experience that does not pertain to data science or technology. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Avoid including generic job descriptions; focus on quantifiable achievements and relevant skills. How to Apply for Senior Data Science Engineer at Sabre Apply Now — Sabre Visit the Sabre application portal and create an account to start your application. Upload a tailored resume that highlights your relevant skills and projects specific to data science. Fill out the application form carefully, ensuring all information is accurate and complete. After submission, monitor your email for updates regarding your application status. Use the application tracking feature on the portal to stay informed about your application progress. Applications reviewed on a rolling basis — early submission recommended. Apply Now — Sabre NexisGrow.com does not charge any fees for job applications. Sabre Sabre was founded in 1960 and is headquartered in Southlake, Texas . With a global footprint, Sabre employs over 10,000 people worldwide , including a significant presence in Bengaluru, Karnataka, India . The company’s extensive reach allows it to serve clients across various regions, enhancing its impact in the travel technology sector. At the core of Sabre 's offerings are its innovative travel technology solutions, including the Sabre Global Distribution System . This platform processes over 1.5 billion transactions annually , showcasing its critical role in the travel industry. Additionally, Sabre provides advanced data analytics and cloud solutions that empower travel agencies and airlines to optimize their operations. Sabre has received accolades for its workplace culture, achieving a Glassdoor rating of 4.0 . The company emphasizes employee satisfaction through various programs, including mentorship initiatives and professional development opportunities. This focus on growth has fostered a supportive environment that encourages innovation and collaboration among its workforce. Recently, Sabre announced a strategic partnership aimed at enhancing its AI capabilities, reflecting its commitment to innovation in travel technology. This initiative is part of a broader strategy to integrate advanced technologies such as Vertex AI and BigQuery into its services, positioning Sabre at the forefront of the industry. For freshers in technology, Sabre offers a robust platform to launch their careers. The company provides exposure to industry-leading technologies, including Apache Beam and Dataflow , along with mentorship from experienced professionals. This environment not only fosters skill development but also prepares new talent for future challenges in the tech landscape. Company Details Industry Technology Location Bengaluru, Karnataka, India Connect With Us Careers Apply Now Website 🔗 sabre.wd1.myworkdayjobs.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Senior Data Science Engineer at Sabre? Eligibility Tap to expand + Answer Candidates with Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, Engineering, or a related technical discipline preferred and 5-8 years experience are eligible. Eligible batches: 2023, 2024, 2025, 2026. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Python, TypeScript, Java, GCP, Vertex AI. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹22–35 LPA. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Sabre? Interview Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role? Growth Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply? Application Tap to expand + Answer Apply via the official link in How to Apply section. Highlight: Python, TypeScript, Java, GCP, Vertex AI. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Senior Data Science Engineer interview? Preparation Tap to expand + Answer (1) Core concepts of Python, TypeScript, Java, GCP, Vertex AI, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Sabre research, (5) Clear communication. ? What is the work culture like at Sabre? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. 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