Genpact is hiring for a fresher entry level Management Trainee - Data Scientist Consultant role in India
Position:
Management Trainee - Data Scientist Consultant
Company:
Genpact (NYSE: G)
Location:
Gurugram, India
Job Type:
Full-time
Job Mode:
Onsite
Job Requisition ID:
BFS042283
Years of Experience:
Entry-level (Relevant internship or project experience preferred)
Company Description
Genpact is a globally recognized professional services and solutions firm that drives transformative business outcomes.
With a workforce of over 125,000 employees across more than 30 countries, Genpact fosters a culture of curiosity, innovation, and agility.
The company specializes in offering digital operations services, leveraging deep industry knowledge, AI-driven solutions, and technological expertise.
Genpact partners with leading enterprises, including Fortune Global 500 companies, to drive efficiency, productivity, and innovation.
The core mission of Genpact is to continuously improve the way businesses function, enhancing customer experiences and operational effectiveness.
Through AI, automation, data-driven insights, and advanced analytics, Genpact empowers businesses to navigate evolving market landscapes.
Genpact’s diverse and inclusive work environment fosters collaboration and personal growth, ensuring employees thrive professionally.
The company adheres to ethical hiring practices and maintains a strong stance against fraudulent hiring scams, ensuring transparency and integrity.
Profile Overview
This role is a great opportunity for candidates passionate about data science and analytics who want to work on large-scale AI-driven solutions.
As a Management Trainee - Data Scientist Consultant, the candidate will collaborate with specialists to translate complex business challenges into innovative technological solutions.
The role involves extensive data modeling, machine learning, and artificial intelligence applications to process large volumes of textual, numerical, graphical, and speech-based data.
The candidate will be responsible for designing, implementing, and deploying production-ready AI/ML models that enhance business decision-making.
A strong mathematical foundation, combined with proficiency in programming and analytical techniques, is required to excel in this role.
The individual should demonstrate a problem-solving mindset, a keen interest in emerging technologies, and the ability to work in dynamic team settings.
Knowledge of deep learning, statistical modeling, and cognitive science is beneficial to improve analytical capabilities and model precision.
The role demands continuous learning and exploration of new methodologies, ensuring solutions remain cutting-edge and effective.
Responsibilities
Develop and implement advanced models to analyze and interpret vast amounts of structured and unstructured data.
Create and deploy AI/ML-based frameworks to support data-driven decision-making.
Collaborate with cross-functional teams to understand business challenges and propose analytical solutions.
Translate complex business problems into well-defined analytical tasks using machine learning, deep learning, and statistical methods.
Build scalable algorithms to extract insights from numerical, text, and speech data.
Ensure robustness and reliability in AI/ML code deployment to maintain the integrity of production models.
Stay updated with emerging AI trends and best practices to enhance model performance and efficiency.
Participate in the end-to-end lifecycle of AI model development, from problem formulation to deployment and monitoring.
Qualifications
Minimum Qualifications / Skills:
Bachelor’s degree in Computer Science, Computer Engineering, Information Technology, or Electronics and Communication.
Strong academic background in mathematics, particularly probability, statistics, and Bayesian networking.
Familiarity with deep learning, neural networks, and cognitive science concepts.
Experience in designing, training, and deploying machine learning models in a professional or academic setting.
Proficiency in programming languages such as Python and R (Java is a plus).
Hands-on experience with statistical and machine learning toolkits, including R, Weka, Python, Azure ML, and AWS Sagemaker.
Strong understanding of predictive and prescriptive analytics, including SVM, decision trees, clustering, regression models, and artificial neural networks (ANN, CNN, RNN).
Expertise in deep learning frameworks such as TensorFlow, Keras, PyTorch, and Theano.
Familiarity with development tools such as PyCharm and Jupyter Notebook for AI/ML projects.
Preferred Qualifications / Skills:
Experience with graph databases such as Neo4j.
Knowledge of Natural Language Processing (NLP) and Natural Language Understanding (NLU) techniques.
Proficiency in SQL and NoSQL databases, along with Microsoft Access.
Exposure to UI development frameworks for text mining visualization, including Adobe Flex Builder, HTML5, and CSS3.
Familiarity with Linux environments and GPU acceleration for deep learning applications.
Experience in distributed computing using Spark and Scala.
Understanding of cloud computing platforms such as AWS, Azure, and Google Cloud.
Additional Info
Genpact promotes a culture of diversity, inclusion, and integrity, ensuring a fair and transparent hiring process.
The company is an equal opportunity employer and does not discriminate based on race, color, religion, gender, age, nationality, marital status, veteran status, disability, or any other protected characteristic.
Genpact strictly prohibits any form of recruitment scams and does not charge candidates any fees for job applications or hiring processes.
The organization offers a dynamic and growth-oriented work environment, providing opportunities for skill development and career advancement.
Employees are encouraged to explore innovative AI solutions and contribute to the company's mission of enhancing business performance through data-driven insights.
The role offers exposure to cutting-edge technologies and industry best practices, making it an excellent opportunity for aspiring data scientists.
Genpact actively engages with its employees through various professional development programs, mentorship opportunities, and continuous learning initiatives.
Candidates can connect with Genpact through official channels such as the company website, LinkedIn, X (formerly Twitter), YouTube, and Facebook.
Please click here to apply.
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