
Data Science Practitioner
Accenture
About The Role
As a Data Science Practitioner, you will be engaged in formulating, designing, and delivering AI/ML-based decision-making frameworks and models that drive business outcomes. Your typical day will involve collaborating with various teams to measure and justify the value of AI and machine learning solutions, ensuring that they align with organizational goals and deliver tangible results. You will also be responsible for analyzing data, developing models, and presenting findings to stakeholders, all while fostering an environment of innovation and continuous improvement.
Key Responsibilities
- Formulating, designing, and delivering AI/ML-based decision-making frameworks and models for business outcomes.
- Measuring and justifying AI/ML-based solution values.
- Collaborating and managing the team to perform.
- Being responsible for team decisions.
- Engaging with multiple teams and contributing on key decisions.
- Providing solutions to problems for their immediate team and across multiple teams.
- Facilitating knowledge sharing and mentorship within the team to enhance overall capabilities.
- Continuously evaluating and improving existing processes and frameworks to optimize performance.
Requirements & Tech Stack
- Must have skills:
- Machine Learning Operations (minimum 7.5 years of experience required).
- Good to have skills:
- Experience with cloud platforms such as AWS or Azure.
- Strong understanding of model deployment and monitoring techniques.
- Experience with version control systems like Git.
- Familiarity with containerization technologies such as Docker.
Qualifications
- 15 years full time education.














