RTX Hiring for Engineer I – Data Science & Analytics – Bangalore | Apply Now
About Us
RTX (Raytheon Technologies Corporation) is a global aerospace and defense company known for delivering innovative solutions in aviation, space, and cybersecurity. With a legacy of excellence, we are a leader in advanced systems and services for both commercial and government customers across the globe. RTX operates through four business segments: Pratt & Whitney, Collins Aerospace, Raytheon, and RTX Corporate.
Our mission is to push the boundaries of technology and innovation to redefine the future of aerospace and defense. By combining cutting-edge technologies with a strong focus on sustainability, RTX is shaping the next era of intelligent, efficient, and safer flight systems.
In India, RTX continues to expand through its India Engineering Center (IEC) located in Bangalore. The IEC is a strategic center of excellence, enabling global collaboration in areas such as product engineering, digital transformation, and data analytics. Our team of engineers, data scientists, and technical experts contribute to high-impact programs across the organization.
We are currently seeking a qualified and motivated professional for the position of Engineer I – Data Science & Analytics to join our growing team in Bangalore. This is an excellent opportunity for recent graduates or early-career professionals looking to apply their technical knowledge to real-world challenges in aerospace engineering and data science.
Job Details
Job Title: Engineer I – Data Science & Analytics
Job ID: 01779720
Location: Bangalore, Karnataka, India (On-site – North Gate Business Park, KIAL Road, Yelahanka)
Employment Type: Full-Time
Batch: 2021, 2022, 2023, and 2024 graduates eligible
Experience: 0–2 Years (Freshers with internship or academic experience in data science can apply)
Salary: As per Industry Standards
Qualification: B.E/B.Tech or M.E/M.Tech in Mechanical, Aerospace, or Computer Science Engineering with coursework or expertise in Data Science, Statistics, or Applied Mathematics
Certifications: Not mandatory, but certifications in Python, Power BI, or Machine Learning are advantageous
Key Responsibilities
Work collaboratively with engineering and technical teams to extract and interpret large datasets from aircraft engines and components
Build and maintain interactive dashboards using Power BI for data visualization and operational monitoring
Develop and implement machine learning models for tasks such as anomaly detection, predictive maintenance, and statistical forecasting
Analyze historical and real-time data from sensors, test facilities, and manufacturing processes to generate actionable insights
Support decision-making by providing analytical reports and visual outputs to engineering leaders
Document model development, workflows, assumptions, and results clearly for engineering and business stakeholders
Participate in project planning and tracking to ensure milestones are achieved according to quality standards and timelines
Identify opportunities for continuous improvement in data collection, processing, and modeling techniques
Required Skills
Strong programming skills in Python with knowledge of libraries like Pandas, NumPy, Scikit-learn, and Matplotlib
Experience with data visualization tools such as Power BI, Tableau, or similar platforms
Good understanding of machine learning algorithms, statistical methods, and data mining techniques
Familiarity with data preprocessing steps such as cleaning, normalization, transformation, and feature engineering
Strong analytical thinking and problem-solving abilities
Ability to understand engineering datasets and translate them into meaningful insights
Clear written and verbal communication skills
Ability to work in a fast-paced, collaborative, and cross-functional team environment
Preferred Skills
Exposure to aerospace engineering data, including sensor readings, engine performance metrics, or test rig data
Knowledge of time-series modeling, regression analysis, and classification models
Experience working with cloud platforms such as Microsoft Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP)
Familiarity with SQL or NoSQL databases for data storage and querying
Understanding of engineering simulation tools or design software is a plus
Previous experience in industrial or manufacturing analytics environments
Perks and Benefits
Competitive compensation package aligned with industry standards and based on experience and skills
Comprehensive health insurance coverage for employees and dependents
Paid time off, sick leave, and public holiday benefits
Flexible working hours and hybrid work options in some cases
Access to world-class infrastructure, modern labs, and technical tools
Continuous learning through internal and external training programs
Support for professional certifications, conferences, and online courses
A strong focus on inclusion, diversity, and employee engagement
Global exposure and opportunity to work on international engineering programs
A performance-driven work environment that values innovation, creativity, and teamwork
Why Join Us
At RTX, we believe that people are our greatest strength. As a company focused on transformation and innovation, we are constantly seeking to develop new capabilities in artificial intelligence, data analytics, autonomous systems, and sustainable propulsion. Our teams are made up of passionate professionals who are committed to building a smarter, safer, and more connected future.
By joining our Data Science & Analytics team at the India Engineering Center in Bangalore, you will:
Contribute to global aerospace programs and cutting-edge analytics initiatives
Work in a multidisciplinary team with experts in AI, engineering, and systems design
Apply your technical skills to solve meaningful challenges in aviation and defense
Grow in a culture that promotes continuous learning, leadership development, and innovation
Enjoy a high degree of ownership, responsibility, and recognition for your work
Be part of a community that values diversity, equity, and inclusion at all levels
Get mentored by experienced professionals and leaders who are invested in your growth
Whether you are a recent graduate passionate about data science or an early-career professional with internship experience, this role will give you the platform to advance your technical journey and build a career that has real impact.
Career Path and Growth Opportunities
RTX offers a well-defined career development path for data science and engineering roles. As an Engineer I, you will have opportunities to grow into:
Senior Engineer – Data Analytics
Technical Specialist – AI/ML in Aerospace
Lead Data Scientist
Engineering Program Manager
Global Analytics Lead
RTX encourages internal mobility and provides structured training programs, global mentorship initiatives, and leadership development workshops. You’ll also be part of communities of practice that focus on data science, cloud engineering, sustainability, and product innovation.
How to Apply
Apply Now: Click Here to Apply
To apply for this position
Ensure your resume is updated with relevant experience, projects, and academic work
Highlight key skills such as Python, Power BI, Machine Learning, and any related tools
Shortlisted candidates will be contacted via email for the next steps in the recruitment process, which may include technical interviews, coding rounds, or case study discussions
