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NTT Data Off Campus 2025:

NTT Data Career 2025 Responsibilities:

• Learns the skills to proactively support the evaluation, testing, and benchmarking of emerging AI vendor solutions against enterprise requirements.
• Supports proof-of-concept initiatives by assisting with hands-on testing of AI platforms and documenting findings.
• Learns how to apply structured methodologies for assessing AI technologies, including accuracy, scalability, compliance, and integration potential.
• Assists with preparing reports, comparisons, and recommendations that inform strategic AI investment decisions.
• Supports the team in systematically analyzing vendor claims, model outputs, and performance benchmarks.
• Learns to create and execute test cases and scenarios to evaluate vendor AI solutions across different use cases.
• Assists in ensuring testing coverage and reducing bottlenecks in AI project delivery through organized, repeatable evaluation processes.
• Receives guidance to prepare technical and non-technical summaries of evaluation results for business stakeholders and leadership.
• Keeps updated with industry standards, best practices, and evolving regulatory frameworks (e.g., EU AI Act) that influence AI adoption.
• Performs any other related tasks to support AI solution evaluations and project delivery

NTT Data Off Campus 2025 Eligibility Criteria:

• Bachelor’s degree or equivalent in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.
• Relevant programming or AI/ML certifications preferred.
• Agile certification preferred

Preferred skill:

• Some familiarity with AI concepts, including machine learning, natural language processing, and generative AI.
• Demonstrates ability to thrive in a dynamic, fast-paced environment where multiple vendor solutions are evaluated concurrently.
• Curiosity and desire to learn structured evaluation techniques for AI technologies.
• Strong analytical thinking with the ability to compare different solutions and identify strengths/weaknesses.
• Demonstrates understanding of enterprise IT environments and how AI tools must integrate within them.
• Communicates technical findings clearly and fluently to both technical and business stakeholders.
• Familiarity with benchmarking, model testing, and basic programming to support evaluation activities.
• Self-driven and detail-oriented, while also able to collaborate effectively within a team.
• Desire to build foundational expertise in AI evaluation, governance, and adoption strategies
• Entry-level experience in AI/ML, data science, or technology evaluation, preferably gained in a corporate environment or through academic/industry projects.
• Familiarity with machine learning concepts, model evaluation methods, and unstructured data analytics.
• Exposure to programming languages (Python, R, etc.) for testing and prototyping AI solutions.
• Some experience with evaluating or working with AI platforms and vendor tools is advantageous.
• Entry-level experience in benchmarking, testing, or analyzing algorithms and data outputs.
• Familiarity with preparing technical reports or visualizations to communicate findings

Click here for HR Interview Questions and Answers

NTT Data Off Campus Selection Process:

The NTT Data selection process is a structured series of stages designed to identify and hire the most suitable candidates for various roles within the company. Here is an overview of the typical selection process:

1. Online Application: The process begins with candidates submitting their applications through NTT DATA official careers website. It’s essential to provide accurate and comprehensive information on your resume and application.
2. Resume Screening: The NTT DATA recruitment team reviews all incoming applications and resumes to assess whether candidates meet the basic qualifications and requirements for the position.
3. Online Assessments: Depending on the role, candidates may be required to complete online assessments or tests to evaluate their technical skills, knowledge, and problem-solving abilities. These assessments can cover a wide range of topics, including coding, problem-solving, and domain-specific knowledge.
4. Technical Interviews: For technical positions, candidates typically participate in one or more technical interviews. These interviews assess a candidate’s technical expertise, coding skills, problem-solving capabilities, and familiarity with Microsoft technologies.
5. Reference Checks: NTT DATA may conduct reference checks to verify a candidate’s work history, qualifications, and suitability for the role.
6. Offer: If a candidate successfully navigates all interview stages and reference checks, they will receive a formal job offer. The offer will include details such as compensation, benefits, and other terms of employment.
7. Background Check: Candidates who accept the offer may undergo a background check as part of the final hiring process.
8. Onboarding: After accepting the offer and completing all pre-employment checks, candidates will participate in NTT DATA onboarding process. This includes orientation, training, and integration into the team.

Please note that the specific details of the NTT Data selection process may vary based on the role, location, and the hiring team’s preferences. It’s essential for candidates to carefully review the job description and follow any instructions provided during the application process. Preparation for technical interviews and assessments is crucial to excel in the selection process.

Why Join NTT Data?

• Industry leading healthcare
• Educational resources
• Savings and investments
• Maternity and paternity leave
• Opportunities to network and connect