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 Data Scientist
We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team. This individual will play a crucial role in developing and implementing data-driven solutions, AI-powered applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals.
Responsibilities
- Analyze data sets: Examine large data sets to identify trends, patterns, and anomalies that can inform business strategies.
- Create reports and dashboards: Develop comprehensive reports and interactive dashboards to present findings to stakeholders.
- Collaborate with teams: Work closely with cross-functional teams, including marketing, finance, and operations, to understand data needs and deliver solutions.
- Ensure data accuracy: Validate data sources and ensure the accuracy and integrity of data used for analysis.
- Support decision-making: Provide insights and recommendations based on data analysis to support business decision-making processes.
- Experience in GenAI projects
Qualifications we seek in you:
Minimum Qualifications
• Bachelor's or Master's degree in Data Science, Computer Science or a related field.
• Experience in data science, machine learning, AI applications, and generative AI modelling.
• Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks.
• Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark.
• Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP.
• Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations.
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders.
Preferred Qualifications/ skills
• Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance
• Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills.
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. For more information, visit www.genpact.com. Follow us on Twitter, Facebook, LinkedIn, and YouTube!
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.
