JOB DESCRIPTION

Job Title: Associate Consultant – Machine Learning & Data Science
Key accountabilities:

As an Machine Learning & Data Science Engineer, you will be accountable for:

Collaborating with specialized teams to understand operational needs and translating them into data science / machine learning technical problem statements with clearly defined success metrics and business impact.
Exploring structured and unstructured data to identify patterns and build models to learn these patterns using traditional statistical methods and machine learning models.
Demonstrate extensive experience across the full spectrum of Machine Learning modeling techniques, including supervised (classification, regression, time-to-event/ranking, multi-label), unsupervised (clustering, dimensionality reduction, association rule mining, anomaly detection), time series forecasting & deep learning (CNNs, RNNs/LSTMs/GRUs, transformers, autoencoders, graph neural networks) techniques along with the ensemble approaches such as bagging, boosting & stacking.




Performing in-depth exploratory data analysis (EDA) to identify significant features, and executing advanced feature engineering and data transformation to create effective inputs for model training.
Selecting and evaluating relevant machine learning techniques through iterative experimentation, hyperparameter tuning, and robust validation, and deploying models in Azure using Databricks and MLflow.
Applying appropriate model evaluation metrics and validation approaches for various supervised and unsupervised problems, including baselining and statistical significance testing where relevant.
Presenting and promoting analytics solutions to stakeholders and relevant governance committees, translating technical results into actionable business insights and recommended actions.
Implementing and delivering end-to-end solutions through individual contributions and cross-team collaboration, documenting processes, methodologies, and findings via

📌 Associate Consultant (Bengaluru)
🏢 AXA Global Business Services
📍 Bengaluru