Data Science Research Senior Analyst

Accenture; Hyderabad; On-site; INR 800,000 - 1,200,000; Full time

Benefits offered by this job

Unique training opportunities

Coaching and mentoring

Job summary

Accenture is seeking a Data Engineer for its Global Data Science Team in Hyderabad, India. This role supports research projects through data provisioning and developing innovative research solutions. Candidates should have strong engineering skills, be adept in Python and SQL, and possess the ability to work collaboratively in a multicultural environment.

The position requires a Bachelor's degree in a relevant field with 1 to 3 years of experience. The role offers unique training opportunities and further growth in data-driven business insights.

Qualifications

• 1 to 3 years of relevant experience related to data engineering and business insights.
• Experience in designing data architecture and governance.
• Experience in developing Machine Learning / AI tools is a plus.

Responsibilities

• Support global and local research projects aligned with Accenture Research priorities.
• Design, develop, and maintain data solutions in cloud environments.
• Promote and implement best practices for big data processing and management.

Skills

Data engineering skills

Creativity

Analytical capabilities

Python programming

SQL proficiency

Knowledge of Google Cloud Platform

Machine Learning / AI tools

Ability to handle multiple projects

Excellent communication skills

Strong analytical skills

Education

Bachelor's degree in Business Analytics, Statistics, Computer Science or similar

Master's degree preferred

Tools

Google Cloud Platform

Linux operating system

Job description

This role is in Accenture Research Global Data Science Team, and it will be fully dedicated to support research projects in terms of data provisioning and development of research solutions. We are looking for curious candidates that will combine data engineering skills, creativity, and analytical capabilities to accelerate Accenture-s data-driven business research and insight discovery. We offer a career aligned to our priority of creating innovation and impact, managing complex data driven research projects, with multinational and multidisciplinary teams. We provide opportunities for coaching, supervision and mentoring, as well as responsibilities to manage dedicated research budgets and relationships with external partners.

Key Responsibilities

Support global and local research projects on themes aligned to our Accenture Research priorities and efforts. Design, develop and maintain data solutions in cloud environment. Promote and implement best practices and modern approaches for big data processing and management.

What we offer

We have access to 100+ business data sources through our research data lake. We are constantly expanding our universe of data from commercial and open sources and partnering with premium data providers to improve quality of inputs into our models. We provide several unique training opportunities to continue your growth, including both internal training, on the job, personal exploration time to work on novel methodologies without the constraints of a projects and with leading universities.

Experience and skills

Hard- skills:

• Design and develop data pipelines and processes orchestration.
• Experience in designing data architecture and governance, data warehousing, data quality management, and master data management.
• Knowledge of Google Cloud Platform with special focus on data services such as Cloud Composer, Big Query and Dataflow, AllloyDB. The experience of working with alternative cloud platforms in similar scope is also acceptable.
• Excellent knowledge of Python language, particularly in processing of structured and unstructured data Proficiency in SQL for processing large datasets Experience in working on Linux operational system.
• Experience in developing Machine Learning / AI tools is a plus, with a focus on Gen AI solutions. Knowledge in development of application integration solutions is an advantage.

Soft- skills:

• Strong analytical skills and a proven ability to deliver high quality data products.
• Understanding business requirements and how to convert them into data processing solutions.
• Ability to handle multiple projects with a proactive and entrepreneurial attitude.
• Excellent communication (written and oral) and interpersonal skills.
• Enthusiasm to work effectively in a global, multi-cultural team.

Additional Information

Reports to: Research Principal Director in Data Science researchEducation:

Education: Bachelor-s degree in business Analytics, Statistics, Computer Science or similar. Masters- degree preferred.

Work Experience: 1 to 3 years of relevant experience related to data engineering, GenAI agents and business insights.

Location: Hyderabad, India

Preferred start date: At the earliest

Qualification

TBD