Assistant Vice President - Data Scientist

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 Assistant Vice President- Data Scientist

We are seeking a highly skilled and experienced Data Scientist to join our team. The ideal candidate will have a strong background in data engineering, developing ETL processes, and utilizing machine learning tools to extract insights and drive business decisions. The Data Scientist will be responsible for analysing large datasets, developing predictive models, and communicating findings to various stakeholders. This is a crucial role in our organization as we continue to grow and leverage data to improve our operations and customer experience.

Responsibilities:

· Design and implement data models and ETL processes to extract, transform, and load data from various sources.

· Develop and maintain machine learning models to identify patterns and trends in large datasets.

· Collaborate with cross-functional teams to identify business problems and develop data-driven solutions.

· Communicate complex data findings and insights to non-technical stakeholders in a clear and concise manner.

· Continuously monitor and improve the performance of existing models and processes.

· Stay up to date with industry trends and advancements in data science and machine learning.

Qualifications we seek in you!

Minimum Qualifications/skills

· Bachelor's or master's degree in computer science, Statistics, Mathematics, or a related field

· Relevant years of experience in a data science or analytics role

· Strong proficiency in SQL and experience with data warehousing and ETL processes

· Experience with programming languages such as Python, R, or Java

· Familiarity with machine learning tools and libraries such as TensorFlow, Keras, or scikit-learn

· Excellent analytical and problem-solving skills

· Strong communication and collaboration skills

· Ability to work independently and manage multiple projects simultaneously.

Experience with Data Engineering:

· Experience with data warehousing and ETL processes

· Proficiency in SQL and database management

· Familiarity with cloud-based data platforms such as AWS, Azure, or Google Cloud

· Experience with AWS SageMaker and AzureML Studio is highly desirable.

· Knowledge of data modelling and database design principles

· Experience with data visualization tools such as Tableau or Power BI

Experience with ML Tools:

· Experience with machine learning tools and libraries such as TensorFlow, Keras, or scikit-learn.

· Knowledge of different machine learning algorithms and their applications

· Familiarity with data preprocessing and feature engineering techniques

Preferred Qualifications/ Skills

· Experience with model evaluation and performance metrics

· Understanding of deep learning and neural networks is a plus

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 diversity and inclusion, respect and integrity, customer focus, and innovation. Get to know us at genpact.com and on LinkedIn , X , YouTube , and Facebook .

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.