Accenture – AI/ML Computational Science Associate

Job Description

The AI/ML Computational Science Associate role at Accenture is an entry-level opportunity for professionals who want to build a strong foundation in data engineering, automation, and applied machine learning within enterprise operations. This position is part of Accenture’s Technology for Operations team, which focuses on using modern technology to streamline business processes, enhance productivity, and enable intelligent operating models for global clients. The role blends analytical thinking with hands-on development to support data-driven decision-making across industries.

In this role, you will work closely with cross-functional teams to design, develop, and maintain data solutions that support automation and operational efficiency. You will be involved in creating reliable data pipelines, implementing ETL processes, and ensuring data quality across systems. The position emphasizes Python-based development, data modeling, and cloud-enabled data processing, making it ideal for candidates who want exposure to real-world enterprise data platforms and scalable technology environments.

As part of Accenture’s globally connected workforce, you will gain experience working on large-scale transformation programs while learning industry best practices. The role encourages continuous learning, collaboration, and problem-solving, allowing early-career professionals to grow their technical skills while contributing to impactful client solutions. This position offers long-term career potential within Accenture’s technology, data, and AI ecosystem.

Roles & Responsibilities

• Design, develop, and maintain data solutions that support data generation, collection, processing, and operational automation initiatives.

• Build and manage data pipelines to move, transform, and validate data across multiple systems and platforms.

• Implement ETL processes to ensure smooth data migration, deployment, and integration within enterprise environments.

• Participate in problem-solving discussions to analyze business requirements and propose effective technical solutions.

• Collaborate with team members to improve data processing workflows, performance, and reliability.

• Ensure data quality, consistency, and accuracy by applying validation, monitoring, and error-handling techniques.

• Support the Technology for Operations team in delivering intelligent automation and data-driven operational improvements.

• Assist senior team members in solution design, documentation, and implementation activities.

• Work with database systems and structured data to support analytics and operational reporting needs.

• Continuously build domain knowledge and technical expertise aligned with Accenture’s tools, frameworks, and delivery standards.

Requirements & Eligibility

• Any graduation degree with a minimum of 15 years of full-time education as per organizational requirements.

• 0–2 years of hands-on experience or academic exposure in Python programming for data processing or automation use cases.

• Strong understanding of core programming concepts, data structures, and basic software development practices.

• Familiarity with data warehousing concepts, including structured data storage and retrieval mechanisms.

• Basic knowledge of data modeling techniques and best practices for designing efficient data structures.

• Understanding of database management systems with working knowledge of SQL queries.

• Exposure to cloud platforms for data storage and processing, such as AWS, Azure, or similar environments.

• Ability to collaborate effectively within a team and contribute to shared goals and deliverables.

• Willingness to learn new technologies, tools, and frameworks in a fast-paced enterprise environment.

Expected Salary

For the AI/ML Computational Science Associate role at Accenture in Hyderabad, the expected salary typically ranges between ₹4.5 LPA to ₹8 LPA for professionals with 0–2 years of experience. Compensation may vary based on educational background, technical skills, and performance during the selection process, along with additional benefits aligned with Accenture’s global employee programs.