Data Science Practitioner

Accenture; Pune District; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

Accenture is seeking a Data Science Practitioner located in Pune. You will formulate, design, and deliver AI/ML-based frameworks to enhance decision-making. The role demands a minimum of 5 years of experience in machine learning and data science, with a strong focus on developing innovative models that drive business outcomes.

You will lead project teams, contribute to critical decision-making, and monitor project progress, ensuring alignment with organizational standards. The position emphasizes collaboration, skill development, and continuous evaluation of methodologies.

Qualifications

• Minimum of 5 years of experience required.
• Proficiency in programming languages and tools for machine learning workflows.
• Ability to troubleshoot and resolve issues related to AI and machine learning.

Responsibilities

• Act as a Subject Matter Expert (SME) and manage the team.
• Lead development and implementation of AI and machine learning strategies.
• Ensure alignment with organizational standards and objectives.

Skills

Machine Learning (ML)

Data Science

Computer Vision

Large Language Models (LLMs)

Education

15 years full time education

Job description

Project Role

Data Science Practitioner

Project Role Description

Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values.

Must Have Skills

• Machine Learning (ML)
• Data Science
• Computer Vision
• Large Language Models (LLMs)

Good to Have Skills

• Statistical Analysis
• Data Visualization
• SQL
• Cloud Platform (Azure)
• MLOps

Experience

Minimum 5 year(s) of experience is required.

Educational Qualification

15 years full time education.

Location

This position is based at our Pune office.

Summary

As a Data Science Practitioner, a typical day involves developing and implementing advanced artificial intelligence and machine learning frameworks that support strategic decision-making processes. This role requires designing innovative models that align with business objectives and continuously evaluating their effectiveness to ensure measurable value. The position demands active engagement in refining methodologies and delivering solutions that drive impactful outcomes across various organizational functions, fostering collaboration and innovation throughout the project lifecycle. Includes extracting actionable insights from complex data using statistical analysis, machine learning, and data modeling to support strategic decision-making.

Roles & Responsibilities

• Expected to act as an SME, collaborate and manage the team in performing tasks.
• Responsible for team decisions.
• Engage with multiple teams and contribute to key decisions.
• Provide solutions to problems for their immediate team and across multiple teams.
• Lead the development and implementation of AI and machine learning strategies to meet project goals.
• Facilitate knowledge sharing and skill development within the team to enhance overall performance.
• Monitor project progress and ensure alignment with organizational standards and objectives.

Professional & Technical Skills

• Proficiency in Machine Learning, Data Science, Computer Vision, Large Language Models (LLMs).
• Strong expertise in designing and deploying machine learning models tailored to complex business challenges.
• Experience with data preprocessing, feature engineering, and model optimization techniques.
• Ability to interpret and communicate analytical results to diverse stakeholders effectively.
• Familiarity with programming languages and tools commonly used in machine learning workflows.
• Capability to troubleshoot and resolve technical issues related to AI and machine learning implementations.

Equal Employment Opportunity Statement

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.