Role : Consultant - Data Scientist | 4 - 7 Years | Bangalore

Hiring a hands-on Data Scientist with strong experience in Machine Learning, Python, GenAI, Feature Engineering, and production-grade model development. This is an excellent opportunity for professionals who enjoy working with raw, unstructured, behavioural, and financial data and building advanced AI/ML solutions from experimentation through production.

Location : Bangalore

Experience : 4 - 7 Years

Your Future Employer :

A leading global AI and Analytics organization offering an opportunity to work on advanced Data Science, Artificial Intelligence, Generative AI, and analytics solutions for global clients.

Responsibilities :

- Build and validate advanced Machine Learning and statistical models using structured, unstructured, behavioural, and transactional data.
- Engineer meaningful features from raw data and evaluate their incremental predictive value beyond existing models.
- Apply LLM-based extraction and GenAI techniques to convert unstructured data into structured, machine-readable signals.
- Work with advanced modelling techniques including XGBoost, Random Forest, sequence/trajectory modelling, survival/hazard modelling, and Bayesian methods.
- Take analytical solutions from experimentation to production-grade deliverables, including APIs, libraries, reproducible pipelines, and monitored services.
- Develop and maintain Python codebases using Git/GitHub, version control, and CI/CD workflows.
- Collaborate closely with data, engineering, and client teams to develop scalable and reliable AI/ML solutions.




- Contribute reusable frameworks, methodologies, and learnings to the organization's AI and Data Science Center of Excellence.

Requirements :

- 4 - 7 years of hands-on experience in Data Science, Machine Learning, or AI.
- Strong proficiency in Python, Machine Learning, Statistics, and Feature Engineering.
- Hands-on experience with GenAI, LLM-based solutions, or AI/agentic workflows.
- Strong knowledge of advanced ML techniques such as XGBoost, Random Forest, HDBSCAN, HMMs, sequence modelling, survival analysis, and Bayesian modelling.
- Experience taking models from experimentation to production, rather than working only with notebooks.
- Robust experience with Git/GitHub, CI/CD, and production ML workflows.
- Ability to work with raw, unstructured, behavioural, or transactional datasets.
- Strong analytical, problem-solving, and communication skills.
- Experience in financial services, lending, credit bureau, risk analytics, or transaction data will be an advantage.
- Experience with AI evaluation, observability, model monitoring, drift detection, or hallucination checks will be a plus.

What is in it for you :

- Opportunity to work on advanced AI, GenAI, Machine Learning, and Data Science use cases.
- Exposure to complex financial, behavioural, transactional, and unstructured datasets.
- Opportunity to build and deploy production-grade ML solutions using contemporary AI/ML practices.
- Opportunity to collaborate with global clients and contribute to reusable AI and Data Science frameworks.

📌 Data Scientist - Machine Learning/Generative AI (India)
🏢 CRESCENDO GLOBAL LEADERSHIP HIRING INDIA PRIVATE L
📍 India