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)

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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.

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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.

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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.

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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.

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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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