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. Genpact's AI Gigafactory, our industry-first accelerator, is an example of how we're scaling 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 tackle companies' most complex challenges.
If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that's shaping the future, this is your moment.
Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement
data, technology, and AI to create tomorrow, today. Get to know us at
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Inviting applications for the role of Lead Consultant-Data Scientists with AI and Generative Model experience!
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
Collaborate with cross-functional teams to
identify
, analyze
, and interpret complex datasets to develop actionable insights and drive data-driven decision-making.
Basics of Statistics
Experience in ML models Linear Regression, Logistic regression,
Random forest
etc
Design, develop, and implement advanced statistical models, machine learning algorithms, AI applications, and generative models using large language models such as GPT-3, BERT
and also
frameworks like RAG, Knowledge Graphs etc.
Experience in Azure platform
Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations.
Continuously
monitor
and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing
them as needed.
Stay
up-to-date
with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones.
Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth.
Qualifications we
seek
in you:
Minimum Qualifications
Bachelor's or
Master's degree in Data Science
, Computer Science, Statistics, 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.
Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc.
Experience
working with large datasets and using various data storage
and processing technologies such as SQL, NoSQL, Hadoop, and Spark.
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
Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP.
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.
Why join Genpact?
Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up.
Let's build tomorrow together.
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.
Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.