Data Scientist/Machine Learning Professional - R/Python - KPO

Job Responsibilities :

- Interface with business partners within various teams of the client's functional & operational areas to understand the business process, business needs and detailed requirements around data analytics

- Conduct detail analysis of data as per given objective to solve business problems depending on the business requirement.

- Develop descriptive and predictive models to solve business problems. Review effectiveness of models to determine readiness for business use

- Experience in project management, client & team management (preferred)

- Ensure deliverables are of high quality and accuracy.

- Manage the end to end delivery of given analytical project

- Prepare high impact presentations highlighting project scope, deliverables and benefits

- Manage and lead team of 2-4 members. Responsible for the overall development of junior analysts within the team

- Ability to assess the risks which can affect project delivery. Proactive highlighting them to the regional lead.

- Produce high impact presentations and commentary alongside the analytics off-shore team/key stakeholder(s).

Competency- Skills & Knowledge/ Values and Behaviours :

- B.Tech/B.E/B. Stats/MCA. Master's degree essential (MBA / Statistics / Economics)

- Knowledge of statistical techniques such as OLS, Logistic regression, CHAID, Cluster, Factor Analysis and advance analytical techniques such as Neural network, random forest, gradient boosting, Markov-Chain etc.

- Hands on knowledge in statistical tools SAS, R, SPSS, SQL, Python, Machine Learning, Java

- Ability to work in a rapidly changing and growth oriented environment with regularly changing priorities and developing opportunities

- Prior experience in an Insurance domain preferred

- Strong oral and written communication skills with an ability to influence and gain consensus

- Strong team player, with an ability to work in an unstructured environment and a drive to learn new skills and business processes