Job Opportunities in India
October 16, 2024
Accenture
FULL TIME
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 : Natural Language Processing (NLP)
Good to have skills : Data Science, Machine Learning, API Management
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary: As a Data Science Practitioner, you will be responsible for formulating, designing, and delivering AI/ML-based decision-making frameworks and models for business outcomes. You will measure and justify the value of AI/ML-based solutions. Your typical day will involve working on AI/ML projects, analyzing data, developing models, and collaborating with cross-functional teams to drive business impact. 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. - Provide solutions to problems for their immediate team and across multiple teams. - Develop and implement AI/ML models to solve complex business problems. - Analyze large datasets to extract meaningful insights and patterns. - Collaborate with cross-functional teams to understand business requirements and translate them into AI/ML solutions. - Stay up-to-date with the latest advancements in AI/ML and apply them to improve existing models and frameworks. Professional & Technical Skills: - Must To Have Skills: Proficiency in Natural Language Processing (NLP). - Good To Have Skills: Experience with Data Science, Machine Learning, and API Management. - Strong understanding of statistical analysis and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - Hands-on experience implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: - The candidate should have a minimum of 5 years of experience in Natural Language Processing (NLP). - 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 : Natural Language Processing (NLP)
Good to have skills : Data Science, Machine Learning, API Management
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary: As a Data Science Practitioner, you will be responsible for formulating, designing, and delivering AI/ML-based decision-making frameworks and models for business outcomes. You will measure and justify the value of AI/ML-based solutions. Your typical day will involve working on AI/ML projects, analyzing data, developing models, and collaborating with cross-functional teams to drive business impact. 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. - Provide solutions to problems for their immediate team and across multiple teams. - Develop and implement AI/ML models to solve complex business problems. - Analyze large datasets to extract meaningful insights and patterns. - Collaborate with cross-functional teams to understand business requirements and translate them into AI/ML solutions. - Stay up-to-date with the latest advancements in AI/ML and apply them to improve existing models and frameworks. Professional & Technical Skills: - Must To Have Skills: Proficiency in Natural Language Processing (NLP). - Good To Have Skills: Experience with Data Science, Machine Learning, and API Management. - Strong understanding of statistical analysis and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - Hands-on experience implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: - The candidate should have a minimum of 5 years of experience in Natural Language Processing (NLP). - This position is based at our Hyderabad office. - A 15 years full-time education is required.
15 years full time education
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