ixigo, Citi & Accenture Jobs 2026 | Full Stack, Analytics & AI/ML
ixigo, Citi & Accenture Jobs 2026 | Full Stack, Analytics & AI/ML
Freshers, recent graduates and early-career professionals can explore three technology and analytics opportunities from ixigo, Citi and Accenture. The openings cover Full Stack Engineering with Voice AI, Business Analytics in banking, and AI/ML Computational Science with Python and modern software development.
These roles offer different career directions. The ixigo internship is suited to candidates interested in production-grade full-stack systems and Voice AI, Citi’s Business Analytics Analyst role focuses on data-driven business decisions, while Accenture’s AI/ML role combines Python development with AI, cloud, data engineering and automation. Candidates should compare the technical requirements and work responsibilities before applying.
Also Read: AI Internships 2026 | Latest IT Jobs for Freshers 2026
1. ixigo – Full-Stack Intern – B2B
| Company | ixigo |
| Internship Role | Full-Stack Intern – B2B |
| Qualification | Pursuing or recently completed degree in Computer Science, Engineering or related field |
| Experience | Freshers |
| Location | Golf Course Rd, DLF Phase 5, Sector 43, Gurugram, Haryana, India |
| Department | B2B / Voice AI |
| Duration | As per official information |
| Employment Type | Full-time Internship |
About the Internship
ixigo is building self-healing Voice AI agents for enterprise customer support. The internship provides an opportunity to work at the intelligence layer behind systems designed to identify failures, understand their causes and improve themselves before human intervention is required. Interns will work alongside engineering, product and CX teams on production systems and modern AI technologies.
Role Overview
The Full-Stack Intern will contribute to voice bots, agent-assist tools, servicing dashboards and backend infrastructure. The role combines frontend and backend engineering with Voice AI, LLMs, real-time call automation, data pipelines, queueing systems and cloud infrastructure.
Key Responsibilities
- Contribute to the architecture and development of the AI Voice Bot stack, including tools that allow internal teams to configure and manage voice bot flows.
- Work on queue and retry frameworks for call scheduling, including handling failures, retries and prioritization across high call volumes.
- Contribute to voice call automation, helping improve fully-automated call rates while ensuring monitoring and observability.
- Assist in building and enhancing the Servicing Insights Dashboard, including backend data pipelines and frontend interfaces used by CX teams.
- Explore emerging Voice AI technologies and market trends and support the team in translating relevant research into improvements for internal tools.
- Follow strong engineering practices through documentation, code reviews, design discussions, testing and technical planning.
Required Qualifications & Skills
- Pursuing or recently completed a degree in Computer Science, Engineering or a related field.
- Strong programming fundamentals.
- Strong interest in full-stack engineering and building production systems.
- Interest or hands-on exposure to Voice AI systems for CX use cases.
- Understanding of queueing systems, retry mechanisms and scheduling infrastructure.
- Exposure to deploying or working with services on Kubernetes/EKS.
- Experience building or contributing to dashboards or internal tools.
- Strong ownership mindset with the ability to take up tasks end-to-end with guidance from senior engineers.
- Strong written and verbal communication skills.
- Ability to collaborate with CX, product and engineering teams.
- Ability to learn quickly and work in a fast-paced engineering environment.
Tech Stack
- Python
- Typescript/Nodejs
- FastAPI / Flask
- Voice AI
- STT / TTS
- LLMs
- PostgreSQL
- Redis
- AWS
- Docker
- CI/CD
- Kubernetes / EKS
Stipend & Benefits
The supplied listing does not disclose the internship stipend, duration or PPO details. The major benefit is hands-on exposure to production Voice AI systems, full-stack development, cloud infrastructure and internal enterprise tools.
Why this internship is valuable: This is a particularly strong opportunity for students who want to combine software engineering with Generative AI and Voice AI. Experience with Python, TypeScript, APIs, LLMs, AWS, Docker and Kubernetes can be highly relevant to modern AI application engineering careers.
Recommended Skills & Learning Resources
Interview Preparation
Prepare Python, APIs, databases, JavaScript/TypeScript, system fundamentals, Docker and basic cloud concepts. Also understand LLM, RAG, STT/TTS and Voice AI concepts if you have relevant project exposure.
How to Apply for ixigo Full-Stack Internship
- Open the official ixigo Full-Stack Intern – B2B listing.
- Review the degree and technical requirements.
- Update your resume with full-stack, AI, cloud or backend projects.
- Submit your application through the ixigo careers portal.
- Prepare to discuss your projects, technical decisions and problem-solving approach.
2. Citi – Banking Business Analytics Analyst – Officer
| Company | Citi |
| Job Role | Banking – Business Analytics Analyst – Officer |
| Job Req ID | 26994209 |
| Qualification | Bachelor’s/University degree or equivalent experience |
| Experience | Freshers |
| Department | Banking |
| Duration | As per official information |
| Employment Type | Full-time |
| Work Mode | Hybrid |
| Salary | As per official information |
| PPO | Not applicable – full-time role |
About the Role
Citi is a global financial institution with approximately 219,000 employees around the world. Its Business Analytics Analyst position is a developing professional role focused on monitoring, assessing, analyzing and evaluating processes and data to support business decision-making.
Role Overview
The analyst will gather operational data from cross-functional stakeholders, identify patterns and trends, conduct analytical work and translate data into customer or consumer insights. The role also involves recommending improvements, evaluating new data sources and working with internal and external business partners on decision strategies.
Key Responsibilities
- Gather operational data from various cross functional stakeholders to examine past business performance.
- Identify data patterns & trends, and provide insights to enhance business decision making capability in business planning, process improvement, solution assessment etc.
- Recommend actions for future developments & strategic business opportunities, as well as enhancements to operational policies.
- May be involved in exploratory data analysis, confirmatory data analysis and/or qualitative analysis.
- Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies.
- Communicate clearly and effectively to business partners and senior leaders all findings.
- Continuously improve processes and strategies by exploring and evaluating new data sources, tools and capabilities.
- Work closely with internal and external business partners in building, implementing, tracking and improving decision strategies.
- Appropriately assess risk when business decisions are made.
- Consider the firm’s reputation and safeguard Citigroup, its clients and assets.
- Drive compliance with applicable laws, rules and regulations.
- Adhere to policy and apply sound ethical judgment regarding personal behavior, conduct and business practices.
- Escalate, manage and report control issues with transparency.
Required Qualifications
- 0–2 years relevant experience.
- Good communication skills, both verbal and written.
- Ability to work with cross-functional partners and team members.
- Bachelor’s/University degree or equivalent experience.
Salary & Benefits
The company has not officially disclosed the salary in the supplied job description. The role is full-time and hybrid. Candidates will gain exposure to business analytics, data interpretation, strategic decision-making, customer behavior and financial-services operations.
Why this opportunity is valuable: This position can be a strong fit for graduates interested in analytics and banking rather than pure software development. The ability to turn operational data into business recommendations is transferable to business analytics, data analytics, strategy and financial-services roles.
Recommended Skills & Learning Resources
Focus on SQL, Excel, statistics, data visualization, exploratory data analysis, business analytics and clear presentation of insights.
Interview Preparation
Prepare data-analysis scenarios, business cases, statistics, Excel/SQL fundamentals and behavioral questions. Practice explaining a dataset, identifying trends and converting those findings into a practical business recommendation.
How to Apply for Citi Business Analytics Analyst
- Open the official Citi Business Analytics Analyst listing.
- Review the 0–2 years experience and bachelor’s degree requirements.
- Prepare a resume highlighting analytics, business, SQL, Excel or project experience.
- Submit your application through the Citi careers portal.
- Prepare for analytical, business and behavioral interview rounds.
3. Accenture – AI/ML Computational Science Associate
| Company | Accenture |
| Job Role | AI/ML Computational Science Associate |
| Job No. | AIOC-S01665346 |
| Qualification | BE/BTech |
| Experience | Freshers/0–1 year |
| Department | Tech for Operations – Artificial Intelligence (AI) |
| Duration | As per official information |
| Employment Type | Full-time |
| PPO | Not applicable – full-time role |
About the Role
Accenture is a global professional services company operating across digital, cloud, security, consulting, technology and operations. The AI/ML Computational Science Associate role is designed for enthusiastic graduates with a strong foundation in Python and software development who want exposure to AI, cloud, data engineering, automation and modern application development.
Role Overview
The selected candidate will work with experienced development teams to design, develop, test and maintain Python-based applications and scripts. The role combines application development with REST APIs, backend services, automation, data processing, reporting and analytics while encouraging candidates to learn emerging technologies and frameworks.
Key Responsibilities
- Develop, test and maintain Python based applications and scripts.
- Participate in coding, debugging and troubleshooting activities.
- Assist in developing REST APIs and backend services.
- Support automation and process improvement initiatives.
- Work on data processing, reporting and analytics solutions.
- Participate in code reviews and follow coding standards.
- Collaborate with cross functional teams to understand requirements and deliver solutions.
- Prepare technical documentation and project updates.
- Learn and adopt emerging technologies, tools and frameworks.
Required Skills
- Good knowledge of Python programming.
- Understanding of Object Oriented Programming concepts.
- Basic knowledge of Data Structures & Algorithms.
- Basic knowledge of SQL and Database Concepts.
- Basic knowledge of REST APIs.
- Basic knowledge of Git Version Control.
- Basic knowledge of Software Development Life Cycle (SDLC).
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork skills.
- Eagerness to learn new technologies.
- Ability to work in a collaborative and fast-paced environment.
- Positive attitude and customer-centric mindset.
Preferred Competencies
- Relevant certifications in Python, Cloud, Data Analytics or AI are an added advantage.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork skills.
- Eagerness to learn new technologies.
- Ability to work in a collaborative and fast-paced environment.
- Positive attitude and customer-centric mindset.
Salary & Benefits
The company has not officially disclosed the salary in the supplied job description. The role provides exposure to Python application development, cloud, data engineering, AI, automation, REST APIs and modern software development practices.
Why this opportunity is valuable: This is a broad entry-level technology role for candidates who want to establish a career in Python development while exploring AI, data and cloud technologies. The combination of coding, APIs, automation and analytics can support future software engineering and AI/ML-oriented career paths.
Recommended Skills & Learning Resources
Interview Preparation
Revise Python, OOP, data structures and algorithms, SQL, REST APIs, Git and SDLC. Be ready to solve basic programming problems and explain your academic or personal projects, debugging approach and interest in AI or automation.
How to Apply for Accenture AI/ML Associate
- Open the official Accenture job listing.
- Confirm the BE/BTech and 0–1 year experience requirements.
- Update your resume with Python, AI, data, cloud or software projects.
- Submit your application through Accenture’s careers portal.
- Prepare for coding, technical and behavioral assessments.
Which Opportunity Should You Choose?
| Company | Best For | Skills You’ll Learn | PPO | Work Mode |
|---|---|---|---|---|
| ixigo | Full Stack & Voice AI | Python, Node.js, React/TypeScript, LLMs, AWS, Docker, Kubernetes | Not Specified | As per official information |
| Citi | Business Analytics & Banking | Data Analysis, Trends, Customer Insights, Decision Strategies | Not Applicable | Hybrid |
| Accenture | Python, AI/ML & Software Development | Python, OOP, SQL, REST APIs, Git, Automation, AI | Not Applicable | As per official information |
If you want to build AI-powered production applications, the ixigo internship is the most specialized option because of its Voice AI, LLM, cloud and full-stack focus. Citi is better suited for candidates interested in business analytics, banking and data-driven decision making. Accenture provides the broadest entry-level technology foundation, combining Python, software development, APIs, automation, data and AI/ML. Your existing projects and long-term career target should determine which application you prioritize.
Related Opportunities
Frequently Asked Questions
Which of these opportunities is best for freshers?
Accenture explicitly targets candidates with 0–1 year of experience and BE/BTech qualifications. Citi accepts candidates with 0–2 years of relevant experience. ixigo is an internship for students or recent graduates with strong programming fundamentals.
Which role is best for AI and software development?
The ixigo and Accenture roles are the strongest matches. ixigo focuses on Voice AI, LLMs, Agentic systems and full-stack infrastructure, while Accenture combines Python application development with AI, cloud, data engineering and automation.
Which role is suitable for candidates interested in analytics and banking?
Citi’s Banking Business Analytics Analyst position is the most relevant. The role focuses on operational data, patterns and trends, customer behavioral insights, decision strategies, process improvement and risk-aware business decisions.
These openings cover three distinct career directions, so avoid applying with the same generic resume to all of them. Tailor your resume to the role, highlight relevant projects and strengthen the core skills mentioned in the job description. Always verify the latest job status, eligibility and compensation directly on the official careers page before applying.