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 and models that leverage artificial intelligence and machine learning techniques to drive meaningful business results. This role requires continuous evaluation of the effectiveness of these solutions, ensuring they align with organizational goals and deliver measurable value. Collaboration with various stakeholders to understand business challenges and translate them into analytical models is a key aspect of daily activities, along with refining and optimizing these models to enhance their performance and impact.

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 monitor and improve the performance of deployed models to ensure accuracy and reliability.
- Document methodologies, processes, and results to facilitate knowledge sharing and reproducibility.
- Support junior team members by providing guidance and sharing best practices.

Our product is heavy on Deep Learning, however lately we are also moving towards using LLMs to extract more feature information to improve quality of matching and leverage more data points for other purposes.

Stack I assume you know: Azure, Databricks, Power BI, Deep Learning, Pyspark

Senior and preferably even have experience in this domain

They need to be proactive and self sufficient


Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Science.
- Strong knowledge of machine learning algorithms and their practical applications.
- Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Ability to work with large datasets and perform data analysis to extract actionable insights.
- Familiarity with programming languages commonly used in data science such as Python or R.
- Understanding of statistical concepts and their application in predictive modeling.

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.