DG-Assistant Manager- Data Scientist

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose – the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. 

Inviting applications for the role of Assistant Manager – Data Scientist– India!  

Responsibilities  

• Participating and collaborating with operation teams in the organization to understand the business requirements and to deliver scalable solutions. 
• Conduct thorough research on state-of-the-art generative AI techniques, stay up to date with the latest advancements, and apply them to enhance the capabilities of LLM models. 
• Ability to create models using Classification and Regression techniques and perform Hypothesis Testing and Feature selection. 
• Ability to use creativity to spot trends and tease out patterns in large datasets. 
• Strong analytical and problem-solving skills, and ability to set goals and meet deadlines in fast paced working environment. 
• Analyze user behavior, conversion data, customer journeys to generate hypothesis and build optimization plans and provide insights for feature improvements. 
• Mine and analyze data from company databases to drive optimization and improvement of product development and business strategies. 
• Continuously think on how to improve the analytics infrastructure for the team and automate processes. 
• Perform deep dive analyses on key business trends from different perspectives and package the insights into easily consumable presentations and documents. 
• Provide thought leadership within the marketing analytics community. 

Qualifications we seek in you 

Minimum qualifications  

• Education in Statistics, Mathematics, Computer Science, or another quantitative field.