Data Scientist - KPO

Data Scientist

Role Overview:

- Working with global insurance clients in their analytics team to support deep learning model development and supporting deployment of the models in production environment

- Work on use case identification to identify business opportunities across various functional areas

- Perform end to end model development from data collection, data preparation, model development, model performance evaluation and insight generation

- Conduct detailed analytical work with a high level of accuracy in order to deliver results to senior management

- Proactively engage with stakeholders to understand business context, add value, propose solutions, project and manage pieces of work through to completion.

- Analyse and constructively critique output across the analytics function

Client Liaison:

- Gather and ensure business requirements are clear and understood

- Ensure that stakeholders needs are met across all project (e.g. status updates, documentation requirements, etc.)

- Collaborate closely with client team - necessary stakeholders are aware of the status of tasks

- Explain model performance and model outputs to business stakeholders

Candidate Profile:

- Strong experience in deep learning modeling and analysis

- 4+ overall years of experience

- Experience of using machine learning techniques like deep learning, ensemble models, clustering, bagging and boosting models

- Strong knowledge of Python & SQL.

- Experience in Insurance domain desirable

- Client-facing skills and ability to succinctly explain your work.