Collaborate with a multidisciplinary team to design and implement innovative data solutions that generate business value from big data and AI. Manage the entire project value chain from data collection and processing to the production of machine learning models.
Collaborate with a multidisciplinary team to identify client needs and develop innovative data-driven solutions. Manage the end-to-end project lifecycle, from data collection and exploratory analysis to the implementation and scaling of machine learning models.
Collaborate with a multidisciplinary team to identify client needs and develop innovative data solutions from conception to implementation. Handle the entire project value chain, including data collection, exploratory analysis, and the deployment of machine learning models.
The role involves bridging the gap between technical AI possibilities and business requirements to drive digital transformation for clients. Responsibilities include managing cross-functional workstreams, developing data strategies, and creating AI use cases and BI solutions.
The role involves advising clients on data-driven recommendations and bridging the gap between technical AI possibilities and business imperatives. Responsibilities include managing project workstreams, developing AI use cases, and creating implementation roadmaps for digital transformation.
Develop full-stack AI prototypes and intelligent applications using LLMs and frameworks like LangChain. Create AI assistants and integrate external tools via Model Context Protocol to execute real-world tasks.
As a Data Scientist, responsibilities include executing ambitious client transformation projects through data and collaborating across divisions like Activation, Creativity, and Strategy to deliver integrated services. The role involves developing strong client relationships by applying technical skills to aid in the transformation of their marketing departments.
The intern will join the Data and Consulting team, applying advanced analytics to generate business value from big data and AI, while collaborating with consultants, data scientists, and engineers. Responsibilities include supporting data analysis, interpreting business requirements, assisting with data exploration (EDA), and supporting the development of operational reports and dashboards using BI tools.
The intern will join the Data and Consulting team, helping clients transform their data strategy by applying advanced analytics to generate business insights from big data and AI. Responsibilities include supporting data analysis, exploring data patterns, assisting with reports and dashboards using BI tools, and manipulating data via SQL.
The intern will join the Data and Consulting team, applying advanced analytics to big data and AI to generate business insights for clients. Responsibilities include supporting data analysis, exploring data patterns, assisting with reports/dashboards using BI tools, and manipulating data via SQL.
