Save Job Back to Search Job Description Summary Similar JobsOpportunity to work with leading organisationOpportunity to work with leadersAbout Our ClientIt is one of the fastest growing companies in the Life Insurance sector. It is one of the leading insurers in the country, and offers plans in multiple life insurance segments such as protection plans, wealth plans, child plans, savings plans, group plans, and micro-insurance plans, among others.Job Description Manage stakeholder interactions through regular updates and grow stakeholder engagement with channel partners. Design, plan, and scope projects with stakeholders. Explain project methodology and project approach to required stakeholders. Project Management and Training Manage end-to-end project deliverables, adhering to timelines, project budgets, and stakeholder expectations.Ensure adherence to Standard Operating Procedures and maintain updated relevant documents.Work with junior team members on projects and coach them on-the-job.Conduct in-house training based on team requirements.Provide high-end Analytics to channel partners to help them sharpen their business strategy by implementing analytical models.Manage the entire delivery process and be responsible for all aspects of a project to ensure high-quality standards.Understand business problems and address them to solve client problems.The Successful ApplicantData processing and data science libraries of Python (NumPy, Pandas, Scikit learn, etc.). Experience and understanding of working with massive datasets locally/ distributed using tools such as Apache Spark, and familiarity with packages like Vaex, and Dask, and using these datasets to train and develop and train machine learning algorithms.Knowledge of analytical models such as promotion optimization, Natural Language Processing (NLP) including experience in (BERT and DisilBert Models), Cluster Analysis, Segmentation, Next best recommendation, Neural network models, Logistic Regression (Fraud Models, Lapsation etc), ANN based model, LSTM, Transformers, Attention Models, Bagging and boosting, Generative model,Experience with cloud-based analytics platforms, such as Azure, GCP, or AWS.Familiarity with automated training, deployment, and monitoring of models in production using ML-Ops pipelines.What's on OfferOpportunity to work with leading organisation.Opportunity to work with leaderQuote job refJN-102024-6567904Job summaryFunctionInformation TechnologySub SectorAlgorithmWhat is your area of specialisation?InsuranceLocationMumbaiJob TypePermanentJob ReferenceJN-102024-6567904
