Will be responsible for utilizing your advanced Data Analysis Interpretation skills to develop and implement cutting edge analysis for decision making. Day to day activities will involve analyzing large datasets, creating predictive models, and collaborating with cross functional teams to drive project success.
Use existing research methods and develop new approaches to discover anthropological, ethnographical and sociological insights. Develop brand tracking systems and convert data into relevant KPI dashboards. Use analytical methodologies, mathematical modeling or optimization techniques to develop intellectual property.
Leverage an understanding of software architecture and software design patterns to write scalable, maintainable, well-designed and future-proof code.
Research and implement appropriate ML algorithms & tools to develop innovative AI/ML solutions. Stay updated with latest research, tools, & techniques.
Build and prototype structured, unstructured and ML pipelines iteratively to provide deployment at scale.
Run machine learning tests and experiments.
Design, develop and maintain the framework for the analytical pipeline and tools to improve data quality.
Analyze and preprocess datasets to ensure they are suitable for the algorithms and models they are working with.
Work in cross-functional Agile teams of highly skilled software/machine learning engineers, data scientists, designers, product managers, and others to build the AI and machine learning ecosystem.
Understand and promote the responsible use of AI.
Collaborate with Accenture and/or external consulting teams to address business issues and influence change using strategy, industry and AI skills.
Requirements:
4 to 6 years of experience in data processes and programming.
Previous experience working with Agile methodology, basic knowledge in DevOps / MLOps.
Knowledge repository fundamentals.
Cloud fundamentals and platforms.
Implementation of data solutions, including data acquisition, storage, transformation, and analysis.
Programming: Python, TF, Keras, Pandas, SQL.
Foundation models and deep learning understanding.
Data Management understanding.
Bachelor's degree: Science, Engineering or Mathematics.
English Level: Advanced.
Eagerness to contribute in a team-oriented environment.
Ability to work creatively and analytically in a problem-solving environment.
Ability to meet client travel requirements, when applicable.
Excellent communication skills (written and oral) and interpersonal skills.
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