Senior Principal Consultant-Business Analyst - GENPACT : Job Details

Job Description - Senior Principal Consultant-Business Analyst (COR032124)

Senior Principal Consultant-Business Analyst - COR032124

Ready to shape the future of work?

At Genpact, we don't just adapt to change—we drive it. AI and digital innovation are redefining industries, and we're leading the charge. Our AI Gigafactory, an industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions address complex challenges faced by companies.

If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team shaping the future, this is your moment.

Genpact (NYSE: G) is an advanced technology services and solutions company delivering lasting value for leading enterprises worldwide. We leverage deep business knowledge, operational excellence, and cutting-edge solutions—implementing data, technology, and AI to create tomorrow, today. Learn more at genpact.com and follow us on LinkedIn, X, YouTube, and Facebook.

We are inviting applications for the role of Senior Principal Consultant - Business Analyst. We seek a talented Data Scientist with a strong background in AI, especially in building generative AI models using large language models, to join our team. This individual will develop and implement data-driven solutions, AI-powered applications, and generative models to help us stay ahead of the competition and meet our ambitious goals.

Responsibilities

Qualifications we seek in you:

• 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 modeling.
• Strong expertise in Python, R, or other programming languages used in data science and AI, with experience in large language models and generative AI frameworks.
• Experience working with large datasets and technologies such as SQL, NoSQL, Hadoop, and Spark.
• Experience deploying AI and generative models in production environments on cloud platforms like AWS, Azure, or GCP.
• Strong analytical, problem-solving, and critical thinking skills.
• Excellent communication and collaboration skills 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.
• Experience leading data science projects from inception to completion, including project management and team collaboration.

Join us and be a transformation leader at the forefront of AI, automation, and digital innovation. Make an impact by solving meaningful business challenges for global enterprises. Accelerate your career with hands-on experience, mentorship, and continuous learning. Work with a team of over 140,000 innovative thinkers and problem-solvers who push boundaries daily.

We foster a values-driven culture built on courage, curiosity, integrity, and inclusion, where your ideas fuel progress. Join Genpact and take your career in the only direction that matters: Up.

The approximate annual base salary for this role ranges from $80,000 to $100,000. The actual offer will depend on experience, skills, location, and internal equity.

Work Location:

• Work-from-Anywhere roles: Los Angeles, California-based candidates are not eligible.
• Location-based roles: e.g., Dallas Metro area candidates are eligible; Los Angeles, California candidates are not.

Genpact is an Equal Opportunity Employer. We consider all applicants without regard to race, color, religion, sex, age, national origin, citizenship, marital status, military/veteran status, genetic information, sexual orientation, gender identity, disability, or other protected characteristics. We do not charge fees for job applications, and applicants should be wary of scams requesting payment or equipment.