AI/ML Computational Science Analyst
Accenture services Pvt Ltd · Gurugram, Haryana, India
- On site
- Full-time
- ₹450,000 / year
- Gurugram, Haryana, India
Job highlights
- Develop data solutions for operations team.
- Design and maintain data pipelines.
- Ensure data quality and ETL processes.
- Utilize Python for data tasks.
- Collaborate on operational technology solutions.
About the role
AI ML Computational Science Analyst
Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com
What would you do?
You will be part of the Technology for Operations team that acts as a trusted advisor and partner to Accenture Operations. The team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. We work closely with the sales, offering and delivery teams to identify and build innovative solutions. The Tech For Operations (TFO) team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. Works closely with the sales, offering and delivery teams to identify and build innovative solutions. Tech for Operations involves using technology to improve and streamline business operations. This role includes implementing software solutions, automating processes, and managing IT systems that support operational activities. It also involves analyzing data to optimize performance and ensure efficiency. The goal is to enhance productivity and operational effectiveness through the effective use of technology. Major sub deals include AHO(Application Hosting Operations), ISMT (Infrastructure Management), Intelligent Automation.
As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems, contributing to the overall efficiency and effectiveness of data management within the organization.
What are we looking for?
- Expected to build knowledge and support the team.
- Participate in Problem Solving discussions.
- Assist in the development of data solutions that meet organizational needs.
- Collaborate with team members to enhance data processing workflows.
- Must To Have Skills: Proficiency in Python (Programming Language).
- Good To Have Skills: Experience with data warehousing concepts and tools.
- Familiarity with data modeling techniques and best practices.
- Understanding of database management systems and SQL.
- Experience with cloud platforms for data storage and processing.
Roles and Responsibilities
As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems, contributing to the overall efficiency and effectiveness of data management within the organization.
- Expected to build knowledge and support the team.
- Participate in Problem Solving discussions.
- Assist in the development of data solutions that meet organizational needs.
- Collaborate with team members to enhance data processing workflows.
Professional & Technical Skills
- Must To Have Skills: Proficiency in Python (Programming Language).
- Good To Have Skills: Experience with data warehousing concepts and tools.
- Familiarity with data modeling techniques and best practices.
- Understanding of database management systems and SQL.
- Experience with cloud platforms for data storage and processing.
Additional Information
- The candidate should have minimum 0-2 years of experience in Python (Programming Language).
- This position is based at our Hyderabad office.
- A 15 years full time education is required.
Key skills/competency
- AI ML Computational Science Analyst
- Python
- Data Engineering
- Data Pipelines
- ETL Processes
- Data Warehousing
- Data Modeling
- SQL
- Cloud Platforms
- Automation
Skills & topics
- AI
- ML
- Computational Science
- Analyst
- Data Engineering
- Python
- Data Pipelines
- ETL
- SQL
- Cloud Computing
- Accenture
- Hyderabad
How to get hired
- Tailor your resume: Highlight Python proficiency and data engineering experience relevant to Accenture's Technology for Operations team.
- Showcase problem-solving: Emphasize participation in problem-solving discussions and ability to assist in developing data solutions.
- Demonstrate collaboration: Illustrate experience working with team members to enhance data processing workflows.
- Quantify achievements: Use data to show the impact of your work on efficiency and effectiveness.
- Prepare for technical questions: Brush up on Python, data warehousing, data modeling, SQL, and cloud platforms.
Technical preparation
Behavioral questions
Frequently asked questions
- What specific data solutions does Accenture Operations focus on for AI ML Computational Science Analysts?
- Accenture Operations focuses on leveraging technology to streamline business processes, including implementing software, automating tasks, and managing IT systems. For AI ML Computational Science Analysts, this involves designing, developing, and maintaining data solutions to support data generation, collection, and processing, with a strong emphasis on Python and data pipeline development.
- What is the expected career progression for an AI ML Computational Science Analyst at Accenture Hyderabad?
- While specific career paths vary, an AI ML Computational Science Analyst at Accenture Hyderabad can expect to build knowledge within the Technology for Operations team, participate in problem-solving, and contribute to developing innovative data solutions. Growth opportunities often involve deepening expertise in Python, data warehousing, cloud platforms, and taking on more complex data engineering responsibilities.
- How does Accenture's Technology for Operations team collaborate with sales and delivery teams?
- The Technology for Operations (TFO) team at Accenture acts as a trusted advisor, working closely with sales, offering, and delivery teams to identify and build innovative technology solutions. For an AI ML Computational Science Analyst, this means contributing technical expertise to pre-sales discussions and supporting the implementation of solutions for clients.
- What are the primary responsibilities of a Data Engineer within Accenture's Tech for Operations team?
- As a Data Engineer within Accenture's Tech for Operations, your primary responsibilities include designing, developing, and maintaining data solutions. This involves creating data pipelines, ensuring data quality, implementing ETL processes, and managing data across various systems to enhance operational efficiency and effectiveness.
- Is experience with specific cloud platforms essential for the AI ML Computational Science Analyst role at Accenture?
- While proficiency in Python is a must-have, experience with cloud platforms for data storage and processing is listed as a good-to-have skill. Demonstrating familiarity with major cloud providers and their data services would be beneficial for an AI ML Computational Science Analyst at Accenture.