KASHII UPDATEZ Everyday Student Requirements & Python Coding Tutorials by Python Kashi
JD #1938
Applications open Internship

IT Customer Service Associate

Accenture

  • Hyderabad, Telangana
  • 3.5 LPA
  • Fresher (0-1 Yrs)
  • Posted Today
HR
Recruiter contact
Recruiter / hiring contact
No public email in this post. Use a source-linked contact instead.

About the role

Accenture is a global professional services powerhouse that blends deep industry expertise with cutting‑edge digital, cloud and security capabilities. With a workforce of over 784,000 professionals, the firm serves clients in more than 120 countries, helping them transform their businesses through strategy, consulting, technology and operations. The company’s culture is built around innovation, continuous learning and a commitment to delivering measurable value for clients and communities alike. Accenture’s Indian operations are among the largest in the world, offering fresh graduates a platform to work on high‑impact projects for Fortune‑500 customers while gaining exposure to the latest technologies. The role of an IT Customer Service Associate is positioned within Accenture’s Customer Support vertical. As a non‑voice support specialist, you will be the first point of contact for customers reaching out via email, chat or web portals. Your primary responsibility is to diagnose, troubleshoot and resolve incidents or service requests while adhering to defined Service Level Agreements (SLAs). The position demands strong written communication, fast typing, and the ability to manage escalations with empathy and professionalism. Key Responsibilities: 1. Respond to customer queries on chat, email and web channels within stipulated SLA. 2. Record, diagnose, troubleshoot and resolve or appropriately route incidents. 3. Manage escalations and complaints, ensuring timely closure and customer satisfaction. 4. Maintain accurate ticket documentation in the incident management tool. 5. Collaborate with cross‑functional teams to address complex technical issues. 6. Perform root‑cause analysis for recurring problems and suggest preventive measures. 7. Participate in shift rotations, including night and weekend duties as required. 8. Contribute to knowledge‑base articles and process improvements. 9. Monitor service health dashboards and proactively address unplanned interruptions. 10. Provide regular status updates to supervisors and stakeholders. Tech Stack & Tools: Service Desk platforms (e.g., ServiceNow, BMC Remedy), ticketing systems, basic networking concepts, Windows/Linux OS troubleshooting, ITIL‑foundation processes, Microsoft Office suite, and proficiency in typing (β‰₯ 50 wpm). Growth Path: Starting as an Associate, high performers can progress to Senior Associate, Team Lead, and eventually to Service Desk Manager or specialized roles in Cloud Support, Cybersecurity Operations, or Digital Service Management. Accenture’s internal learning portals and mentorship programs accelerate skill development and career mobility. Why Join Accenture? The firm offers a structured onboarding program, exposure to global best practices, and a collaborative environment that values diversity and inclusion. Freshers benefit from continuous up‑skilling, certifications, and the chance to work on real‑world client projects that shape industry standards. The combination of competitive compensation, robust benefits, and a clear career trajectory makes Accenture an attractive launchpad for aspiring IT service professionals.

Eligibility & process

Who can apply

Any graduate (B.Tech, B.E, B.Sc, B.Com, BA, etc.) with minimum 60% aggregate; no active backlogs; batch years typically 2022‑2025; strong written communication skills; basic computer literacy; willingness to work in rotational shifts.

Skills & stack

Chat support Email support Service Desk Non‑Voice support Typing speed Written communication Problem solving Ticketing tools ITIL basics

Selection process

  1. Round 1: Online aptitude test (logical reasoning, quantitative, verbal)
  2. Round 2: Technical interview (scenario‑based service desk questions, communication skills)
  3. Round 3: HR interview (fitment, behavioral questions, salary discussion)

Prep kit

19 resources
Study material 4
Company-specific guides 4
Likely coding questions 4
Round-wise strategy 4
Round 1: Online Assessment (OA) Aptitude, Quantitative Logic & 2 Coding Problems Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1 Core Tech Stack (Chat support, Email support, Service Desk, Non‑Voice support, Typing speed, Written communication, Problem solving, Ticketing tools, ITIL basics) & Live Code Tracing Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving Database Schemas, APIs & Architecture Basics Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion Accenture Core Values, Learning Agility & Offer Terms Demonstrate passion, strong communication, and readiness for full-time collaboration.
Technical questions 4
What is the bias-variance tradeoff and how do you prevent overfitting? Answer
Model answer: High bias leads to underfitting (oversimplified model), high variance leads to overfitting (captures noise). Mitigate using L1/L2 Regularization, Dropout, Cross-Validation, and data augmentation.
Explain the difference between Precision, Recall, and F1-Score. Answer
Model answer: Precision = TP / (TP + FP) (correctness of positive predictions). Recall = TP / (TP + FN) (coverage of actual positives). F1-Score is the harmonic mean of Precision and Recall.
How does Gradient Descent work and what is the role of Learning Rate? Answer
Model answer: It optimizes loss functions by iteratively moving weights in the direction of negative gradient. A large learning rate may overshoot the minimum; a small rate causes slow convergence.
What is the difference between Supervised, Unsupervised, and Self-Supervised learning? Answer
Model answer: Supervised uses labeled data (X -> y). Unsupervised finds hidden patterns in unlabeled data (clustering/PCA). Self-supervised generates labels from input data (e.g. masked language modeling in BERT/Transformers).
Behavioural & HR questions 3
Why do you want to join Accenture as a IT Customer Service Associate?
Highlight Accenture's market reputation, recent tech innovations, and how your skills in Chat support directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
Accenture 3.5 LPA
Recruiter Resume Apply
Chat Chat with Kashii