Accenture is hiring early-career professionals for two technology roles in India. These opportunities are relevant for freshers and candidates with up to 2 years of experience who have a foundation in Python, software development, troubleshooting and emerging technologies.
๐ Job Details
๐น Role 1: AI/ML Computational Science Associate
๐ Location: Bengaluru
๐ Qualification: BE/BTech
๐ผ Experience: 0โ1 year
๐ Job No.: AIOC-S01665345
๐น Role 2: Application Support Engineer
๐ Location: Mumbai
๐ Education: 15 years full-time education
๐ผ Experience: 0โ2 years
๐ Job No.: ATCI-5715393-S2063558
๐ป Primary Skill: Python
๐ข About Accenture
Accenture is a global professional services and technology company working across consulting, technology, operations, cloud, data, cybersecurity and AI. Its careers platform highlights opportunities across technology and AI & Analytics, while its early-career programs are designed for people developing skills and experience in technology roles.
For candidates starting their careers, these roles can provide exposure to enterprise applications, development practices, client-focused technology work and emerging technologies.
๐ Why These Roles Are Good for Experience?
1๏ธโฃ AI/ML Computational Science Associate
This position combines Python development + backend services + automation + data + AI, rather than restricting candidates to one technology. The official JD includes developing and testing Python applications, assisting with REST APIs, data processing, reporting, automation and code reviews.
2๏ธโฃ Application Support Engineer
This role is particularly useful for building real-world debugging and production-support skills. Candidates work on identifying application problems, collaborating with teams, documenting solutions and monitoring system performance.
๐ง Skills Required
AI/ML Computational Science Associate:
๐ Python, OOP, exception handling and modules
๐งฉ Data Structures & Algorithms fundamentals
๐๏ธ SQL, joins, queries and database concepts
๐ REST APIs and HTTP fundamentals
๐ฆ Git and version control
โ๏ธ SDLC, debugging and code-review practices
๐ Data processing and basic analytics
๐ค AI/ML fundamentals and cloud awareness
Application Support Engineer:
๐ Python scripting and debugging
๐ Root-cause analysis and troubleshooting
๐ Error handling, logging and diagnostic techniques
๐๏ธ Basic SQL/database understanding
๐ API and application fundamentals
โ๏ธ SDLC and support processes
๐ค Basic Generative AI awareness
๐ค Clear technical communication and incident documentation
๐ฏ Preparation Tips โ AI/ML Computational Science Associate
โ
Master Python fundamentals: Practice functions, classes, inheritance, lists/dictionaries, exceptions, file handling and modules.
โ
Practice coding: Focus on arrays, strings, hash maps, sorting, searching and basic problem-solving.
โ
Prepare SQL: Practice SELECT, WHERE, JOIN, GROUP BY, subqueries and aggregate functions.
โ
Understand REST: Know GET/POST/PUT/DELETE, status codes, JSON, headers and basic API design.
โ
Build one Python project: A REST API, automation utility or data-processing application gives you concrete examples to discuss.
โ
Revise AI basics: Understand machine learning terminology, model training/inference and how AI can support automation.
๐ ๏ธ Preparation Tips โ Application Support Engineer
โ
Think like a debugger: Practice identifying the difference between symptoms, errors and root causes.
โ
Strengthen Python troubleshooting: Be comfortable reading unfamiliar code, handling exceptions and explaining why a script fails.
โ
Study logs: Learn how timestamps, error messages, stack traces and request IDs can help isolate problems.
โ
Prepare support scenarios: Practice questions such as โAn application suddenly becomes slowโhow would you investigate?โ
โ
Learn basic monitoring concepts: Understand availability, response time, failures and recurring incidents.
โ
Practice communication: Be ready to explain a technical problem and solution clearly to both technical and non-technical stakeholders.
๐ค Expected Interview Rounds at Accenture
๐น Online/Technical Assessment: Coding, logical reasoning or job-related technical skills
๐น Technical Interview: Python, projects, SQL, APIs and role-specific technical concepts
๐น Role/Manager Discussion: Problem-solving, scenarios and collaboration
๐น HR/Behavioral Discussion: Communication, motivation, teamwork and career goals
๐ฐ Salary Range
The official JDs supplied for these openings do not publish a fixed salary/CTC. Public job listings currently estimate approximately โน4.0โโน6.5 LPA for similar 0โ1-year Accenture AI/ML Computational Science Associate roles, while another current listing estimates โน4โโน8 LPA for the Mumbai Application Support Engineer role. These are third-party estimates, not guaranteed Accenture offers.
๐ Resume Tips
For AI/ML: Put Python, OOP, DSA, SQL, REST APIs and Git near the top. Highlight a Python/AI/data project with measurable technical work rather than only listing certifications.
For Application Support: Emphasize Python, debugging, troubleshooting, SQL, APIs, logs and problem resolution. Add projects where you diagnosed an error or improved application reliability.
For both roles, keep the resume one page if possible, use strong action verbs and be prepared to explain every technology mentioned.
๐ฉ How to Apply
๐ Application Link: Click Here (AI/ML Computational Science Associate)
๐ Application Link: Click Here (Application Support Engineer)
๐ AI/ML Computational Science Associate โ Bengaluru: Apply via Accenture Careers โ Job AIOC-S01665345
๐ Application Support Engineer โ Mumbai: Apply via Accenture Careers โ Job ATCI-5715393-S2063558
โ ๏ธ Accenture also warns candidates about fraudulent recruitment messages and states that applicants are never required to pay for employment.
