Management Trainee - Data Analyst-CPG056555

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 Management Trainee - Data Analyst 

As a Data Science Specialist, he/ she will be part of the Data Science organization working with cross-disciplinary Genpact and Digital Technology stakeholders to provide data science / ML / AI solutions.  

Responsibilities 

Develop analytics within well-defined projects to address stakeholders needs and opportunities. 

Work alongside senior-level data scientists, software developers and software engineers to translate algorithms into viable products and services. 

Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. 

Perform exploratory and targeted data analyses using descriptive statistics and other methods. 

Work with data engineers on data quality assessment, data cleansing and data analytics 

Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes. 

Share and discuss findings with team members. 

Qualifications we seek in you! 

Minimum Qualifications / Skills 

Bachelor's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) with basic experience. 

Demonstrated skill in the use of one or more analytic software tools or languages (e.g., Python, C++, C#, R) 

Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment 

Demonstrated skill in the use of applied analytics, descriptive statistics, and predictive analytics on industrial datasets 

Demonstrated awareness of feature extraction and real-time analytics methods 

Demonstrated awareness of analytic prototyping, analytic scaleup, analytic scaling, and solutions integration. 

Preferred Qualifications/ Skills 

Demonstrated awareness of industry and technology trends in data science 

Demonstrated awareness of customer and stakeholder management and business metrics 

Demonstrated awareness of how to function in a team setting 

Demonstrated awareness of critical thinking and problem solving methods 

Demonstrated awareness of presentation skills 

Demonstrated leadership behaviors - act with humility, lead with transparency, and deliver with focus. 

Demonstrated awareness of how to leverage curiosity and creativity to drive business impact.