Genpact  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.

Genpact inviting applications for the role of Software Engineer  Management Trainee – Data Scientist.

Job Designation : Software Engineer – Data Analyst

Qualification : Bachelor’s degree

Experience : Freshers / Experienced

Skill Set :

1. Strong proficiency in Python programming, including libraries such as NumPy, Pandas, Scikit-learn, PyTorch.
2. Extensive experience with deep learning frameworks and techniques.
3. Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and their data services.
4. Sound knowledge of database systems, SQL, NoSQL.
5. Familiarity with MLOps practices and tools (e.g., MLflow, Kubeflow, or similar).
6. Hands-on experience fine-tuning transformer models (e.g., BERT, GPT, T5)
7. Familiar with data warehousing and data lake architectures.
8. Experience with ETL processes and working with data warehouses.
9. Solid understanding of statistical modelling, machine learning algorithms, and their practical applications.
10. Strong understanding of classification, regression, and graph transformer techniques, as well as their applications in various domains.
11. Experience in root cause analysis and implementing statistical methods for causal inference and experimental design.
12. Excellent problem-solving, analytical, and critical thinking skills.
13. Strong communication and collaboration abilities, with the ability to work effectively in cross-functional teams.
14. Passion for staying up-to-date with the latest advancements in data science, machine learning, and related technologies.

Job Description :

Data Analyst will be responsible for driving data-driven decision-making and delivering actionable insights through advanced data modelling, statistical analysis, and machine learning techniques. You will leverage your expertise in various domains, including classification, regression, graph transformers, and root cause analysis, to solve complex business problems and drive innovation.

1. Design, develop, and implement statistical, machine learning, and deep learning models to solve complex business problems.
2. Fine-tune transformer models for specific tasks and domains.
3. Perform ETL (Extract, Transform, Load) activities to prepare data for analysis and modelling.
4. Implement and maintain ML-Ops practices to ensure efficient model deployment and management.
5. Analyse large datasets using advanced statistical methods and machine learning techniques.
6. Develop and maintain Python-based data processing and analysis scripts.
7. Present findings and recommendations to stakeholders in a clear, understandable manner.

Location : Gurugram, India