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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 : 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. The role includes designing innovative solutions tailored to specific business challenges, continuously evaluating the effectiveness of these models, and ensuring their alignment with organizational goals. Collaboration with various stakeholders to understand requirements and deliver impactful outcomes is a key aspect of the daily routine, along with monitoring and refining models to maintain their relevance and accuracy over time.
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 and analyze business requirements for AI and machine learning projects.
- Continuously update knowledge on emerging trends and technologies in data science to enhance project outcomes.
- Assist junior team members by sharing knowledge and providing guidance on best practices and methodologies.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Science.
- Strong skills in data preprocessing, feature engineering, and exploratory data analysis.
- Experience in building and validating predictive models using various machine learning algorithms.
- Ability to interpret complex data and communicate insights effectively to both technical and non-technical audiences.
- Familiarity with programming languages commonly used in data science such as Python or R.
- Knowledge of data visualization techniques and tools to present data-driven findings clearly.
Additional Information:
- The candidate should have minimum 3 years of experience in Data Science.
- This position is based at our Hyderabad office.
- A 15 years full time education is required.
15 years full time education
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. The role includes designing innovative solutions tailored to specific business challenges, continuously evaluating the effectiveness of these models, and ensuring their alignment with organizational goals. Collaboration with various stakeholders to understand requirements and deliver impactful outcomes is a key aspect of the daily routine, along with monitoring and refining models to maintain their relevance and accuracy over time.
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 and analyze business requirements for AI and machine learning projects.
- Continuously update knowledge on emerging trends and technologies in data science to enhance project outcomes.
- Assist junior team members by sharing knowledge and providing guidance on best practices and methodologies.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Science.
- Strong skills in data preprocessing, feature engineering, and exploratory data analysis.
- Experience in building and validating predictive models using various machine learning algorithms.
- Ability to interpret complex data and communicate insights effectively to both technical and non-technical audiences.
- Familiarity with programming languages commonly used in data science such as Python or R.
- Knowledge of data visualization techniques and tools to present data-driven findings clearly.
Additional Information:
- The candidate should have minimum 3 years of experience in Data Science.
- This position is based at our Hyderabad 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.