Essential Skills Enthusiasm for building analytics & data science solution, keeping up with latest trends Analytical mindset and experience in building Data Science solutions. Experience in solving business problems using Data. Strategic Mindset with a Customer Focus Ability to articulate complex issues and desired outcomes of analytical output Proven analytical skills and evidence-based decision making Excellent problem solving, troubleshooting & documentation skills Excellent written and verbal communication skills Excellent collaboration and interpersonal skills Ability to innovate, adapt and grasp new skills and content Ability to work closely with key stakeholders and build collaborative partnerships Ability to share complex data & Data science approach with business stakeholders Ability to self-manage tasks aligning with business outcome. Proactively gathering feedback and continuously improving Proven ability to experiment with different Data Science packages to deliver business value. Ability to modify data science solution based on enterprise technology stack It is expected that the role holder will most likely have the following qualifications and experience 15+ years’ experience leading Machine learning engineers, Data Scientists Lead teams to build and deploy machine learning models to achieve business outcomes. Proficient users in SQL, Python, PySpark, Spark ML language. Good understanding of cloud platforms such as Databricks (preferred), AWS, Azure or GCP. Proficient in source code controls using GitHub. Highly developed data analytic skills, working with structured, semi-structured unstructured datasets Experience is using different data science packages to solve business problems. Good understanding of customer data, digital data, data science landscape Ability to provide data-driven insights to support decision making or improve customer experience. Explore new methodologies to solve business problems in a collaborative way. Strong stakeholder management and influencing skills to shape the Data Science backlog with stakeholders. Strong communications skills, able to convey complex messages simply and effectively. Ability to visualise data with different data visualisation tools to share insights with stakeholder. Lead the use of Data Science techniques across marketing to provide data-driven insights and support strategic decision making across teams. Accountable for identifying, embedding, promoting, and ensuring continuous improvement within the use of new data and advanced analytics across the teams. Present analytical findings using data visualisation tools and creation of insight presentations for various audiences. Development of new or improved analytic techniques to support customers met and un-met financial needs. Qualification: A bachelor's or postgraduate degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or other relevant fields of study. Evidence of short courses to update skills based on changing Data or Data Science landscape. Key Decisions Key Accountabilities Lead the use of advanced data science techniques across Marketing use cases to provide data-driven insights and support strategic decision making across teams. Lead the enhancement of feature store and feature engineering techniques for Marketing use cases. Leverage online (Adobe Analytics) data in Marketing use cases. Deliver on AI/ML roadmap for Marketing based on the architecture and platform capability. Accountable for identifying, embedding, promoting, and ensuring continuous improvement within the use of new data and data science techniques across the teams. Present analytical findings using data visualisation tools and creation of insight presentations for senior stakeholders. Development of new or improved analytic techniques to support customers unmet financial needs. Job Types: Full-time, Permanent Pay: ₹6,500,000.00 - ₹75,000,000.00 per year Benefits: Paid sick time Paid time off Provident Fund Schedule: Day shift Monday to Friday Supplemental Pay: Yearly bonus Application Question(s): Do you have experience in delivering an AI/ML roadmap for Marketing based on the architecture and platform capability? Experience: Data science: 10 years (Required) Work Location: In person