Key Responsibilities Develop AI based solutions for business needs spanning across Life Insurance lifecycle and ensure their end to end integration with technology systems Working with large data sets and bringing out insights from Data Perform data discovery and validate hypothesis to support business decisions and for decisions on model development Ideate and build models, compare/ validate / QC models, monitor model performance and flag out performance deviation High attention to detail combined with an ability to work in a fast paced setting with minimal guidance Explore new age AI techniques and apply those for solving business problems Prepare and present the analysis and model outputs to key business stakeholders 2-3 years of hands on experience in building Machine Learning models Masters (MTech/ME/MSC) in Computer Science/Information Technology or other quantitative disciplines from Tier 1/ Tier 2 institutes (IIT,



IIIT, NIT, BITS, or other premiere institutions) End to end deployment of supervised/unsupervised ML algorithms -Logistic Regression / kNN /KMeans/Random Forest / SVM/XG Boost/Na ve Bias/Time series forecasting etc. Proven experience in working with Generative AI models and techniques. Working understanding of prompt engineering, RAG and model fine-tuning Excellent programming skills in Python is mandatory Hands-on experience on SQL/Pyspark is good to have

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📌 Senior Analyst (Gurugram)
🏢 Rekrut India
📍 Gurugram