Work with diverse stakeholders to identify their challenges with data that can be addressed using various Analysis techniques.
Be a part of a culture that focuses on delivering excellence for our clients and work with an awesome team of people to work with and access to cutting edge technologies.
Flexibility to work in the way that brings out the best in you and encourages you to do what you love, in an environment that supports you.
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Work with diverse stakeholders to identify their challenges with data that can be addressed using various Analysis techniques.
Be a part of a culture that focuses on delivering excellence for our clients and work with an awesome team of people to work with and access to cutting edge technologies.
Flexibility to work in the way that brings out the best in you and encourages you to do what you love, in an environment that supports you.
...
Lead the delivery of end-to-end data science projects, including data acquisition, feature engineering, modeling, evaluation, and deployment.
Collaborate with stakeholders to understand business problems and translate them into analytical solutions.
Design and develop machine learning models, including generative models such as LLMs (e.g., GPT, Claude, LLaMA) for applications like text summarization, content generation, document intelligence, and chatbots.
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Lead the delivery of end-to-end data science projects, including data acquisition, feature engineering, modeling, evaluation, and deployment.
Collaborate with stakeholders to understand business problems and translate them into analytical solutions.
Design and develop machine learning models, including generative models such as LLMs (e.g., GPT, Claude, LLaMA) for applications like text summarization, content generation, document intelligence, and chatbots.
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Develop and maintain scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.
Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.
Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
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Develop and maintain scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.
Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.
Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
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Lead and oversee large-scale SAP transformation programmes across one or more SAP solutions, including SAP MM, FICO, SD, SuccessFactors, PP/QM, Basis, EWM/WM, Ariba, and PaPM
Act as a trusted advisor to executive stakeholders by understanding business objectives and shaping SAP-enabled transformation strategies
Drive programme governance, delivery excellence, quality assurance, risk management, financial management, and resource planning across multiple engagements
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