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 : Data Science
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As a Data Science Practitioner, a typical day involves developing and implementing advanced decision-making frameworks that leverage artificial intelligence and machine learning techniques to drive meaningful business results. This role requires continuous evaluation of model performance and effectiveness, ensuring that solutions align with organizational goals. Collaboration with various stakeholders to understand business challenges and translate them into analytical approaches is a key aspect of daily activities. The position also involves monitoring the impact of deployed models and refining them to enhance accuracy and value over time, contributing to data-driven decision-making processes.

Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with cross-functional teams to gather requirements and translate them into technical solutions.
- Continuously update knowledge on emerging trends and technologies to enhance project outcomes.
- Assist junior team members by sharing knowledge and providing guidance on best practices.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Science.
- Strong analytical skills with the ability to interpret complex data sets and generate actionable insights.
- Experience in designing and implementing machine learning models and algorithms.
- Familiarity with data preprocessing techniques including cleaning, transformation, and normalization.
- Ability to evaluate model performance using appropriate metrics and validation techniques.
- Competence in using programming languages and tools commonly associated with data science workflows.

Additional Information:
- The candidate should have minimum 3 years of experience in Data Science.
- 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.