Machine Learning jobs in Analytics

The ideal candidate will drive AI vision and strategy, while also diving deep into the realm of real-time
sports analytics.

1. Lead AI & data strategy development help clients right from national governments to leading non-profits set AI visions and identify use cases.
2. Build and deploy AI prototypes and digital solutions in areas like climate, health care, education, and financial inclusion.

Data Scientist support team and Global operations. The ideal candidate will be responsible for developing and maintaining dashboards, analysing data patterns, and forecasting business trends to drive data-based decision-making.

In this role, you will lead the innovation and support of our dynamic pricing program, directly impacting growth, profitability, and overall efficiency.

Work with cross-functional & cross-regional teams for data analysis, monitoring and forecasting, creating the logic for and implementing strategies, providing requirements to data scientists and technology teams on attribute, model and platform requirements, and communicating with global stakeholders to ensure we deliver the best possible customer experience.

The Data Scientist contributes to build innovative scenarios to understand and anticipate future business or operational value creation levers for the company.

Build the AI capability from scratch.

Work with the Founder for the strategic decisions for the organisation.

Build the AI capability from scratch.

Work with the Chief AI Officer for the strategic decisions for the organisation.

Setup the CoE for AI and work on development of AI architecture basis researc and research.

The Director (AI) will lead the Artificial Intelligence team, shaping the company's vision for AI integration within Mixed Reality (MR) experiences. He/She will be responsible for building a high-performing team, defining the AI strategy, and driving the development and implementation of AI solutions across its product portfolio.