Job Title:  Deputy Manager | Data Scientist | Bengaluru | Sustainability & Emerging Assurance

The Team

Enterprise technology has to do much more than keep the wheels turning; it is the engine that drives functional excellence and the enabler of innovation and long-term growth.Audit & Assurance Practice. 

Your work profile

•Leverage strong machine learning and data analysis experience in complex data environments to support business objectives in effective and scalable ways.

• Utilize a solid foundation in mathematics and statistics to guide model development, validation, and performance evaluation.

• Design and develop machine learning and LLM-based solutions, including applications such as RAG pipelines, chatbots, and intelligent assistants where applicable.

• Develop and integrate REST APIs and FastAPI-based services for model deployment and application integration.

• Support implementation of monitoring and observability practices for ML and LLM systems, including performance tracking and response evaluation.

• Build and maintain data pipelines, including data ingestion, preprocessing, transformation, and validation.

• Collaborate effectively within Agile Scrum teams, contributing to iterative development and continuous improvement.

• Document business processes, workflows, models, APIs, and technical implementations clearly and comprehensively.

• Engage with business and technical stakeholders to understand requirements and translate them into data science and AI solutions.

• Participate in collaborative conceptualization sessions to brainstorm and refine ML and LLM-based solutions.

• Assist in implementing agent-based workflows using modern frameworks and support integration with enterprise systems. 

 Key skills required:

• Education : Any Graduation - B.Tech,B.Sc,B.Com.M.Tech,MBA,M.Com

• Proficiency in Python, Machine Learning, REST API development, FastAPI, and SQL.

• Experience with data processing, cleansing, and validation to ensure data quality and integrity for analysis.

• Conduct data quality checks and exploratory data analysis to support model development.

• Demonstrated programming skills in Python and experience in building and integrating APIs.

• Build end-to-end machine learning models, including data preparation, feature engineering, and deployment workflows.

• Strong understanding of statistical modelling techniques such as Regression, Clustering, Decision Trees, and Logistic Regression.

• Familiarity with machine learning algorithms such as KNN, Random Forests, Ensemble Methods, and probabilistic approaches.

• Basic experience with Large Language Models such as GPT, BERT, or similar architectures.

• Understanding of prompt engineering and LLM application usage.

• Familiarity with vector databases, embeddings, and retrieval-based approaches.

• Basic understanding of agent frameworks such as LangChain or Semantic Kernel.

• Knowledge of data mining concepts and experience with data visualization tools and dashboards.