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Data Science Practitioner

icon building Company : Accenture
icon briefcase Job Type : Full Time

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Job Description - Data Science Practitioner

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 : Python (Programming Language)
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As a Data Science Practitioner, you will be engaged in the formulation, design, and delivery of AI and machine learning-based decision-making frameworks and models aimed at achieving significant 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 drive impactful results. You will also be responsible for analyzing complex data sets, deriving insights, and presenting findings to stakeholders, thereby influencing strategic decisions and fostering a data-driven culture within the organization.

Roles & Responsibilities:
- Expected to be an SME.
- Collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Expected to provide solutions to problems that apply across multiple teams.
- Facilitate knowledge sharing and mentorship within the team to enhance overall capabilities.
- Continuously evaluate and improve existing AI/ML models to ensure optimal performance and relevance.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Python (Programming Language).
- Experience with machine learning libraries such as TensorFlow or PyTorch.
- Strong understanding of data analysis and statistical modeling techniques.
- Familiarity with data visualization tools to effectively communicate insights.
- Ability to work with large datasets and perform data wrangling tasks.

Additional Information:
- The candidate should have minimum 12 years of experience in Python (Programming Language).
- This position is based at our Bengaluru office.
- A 15 years full time education is required.

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com 

Equal Employment Opportunity Statement


We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

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