Manager - Analytics - KPO

- Engage with clients to understand their business needs from an analytical standpoint and accordingly define the problem statement(s) to focus on.

- Understand the data requirements to solve the problem and perform exhaustive exploratory analyses.

- Build statistical and/or predictive models on the data to assist in better business decision making.

- Test the performance of the models and deploy them into production by closely working with the client teams.

- Prepare client deliverables, followed by engaging with the clients to discuss results and recommendations.

- Be passionate about applying analytics to real-world business situations and producing measurable improvements for clients.

- Be comfortable with ambiguity and truly enjoy the challenge of creating new solutions for difficult Big Data problems.

- Bring in analytical expertise to assist with Business Development proposals.

- Financial services or Healthcare industry experience will be a plus.

- Hands-on experience in Python , R, SQL.

- Worked on NLP unstructured data / semi structured data

- Worked on Neural Network, with experience in Tensor Flow, PyTorch

- Model development using RNN, CNN, LSTM

- Machine learning model development, hands on experience in Random Forest, XGboost, SVM, etc

- Experience in model performance tuning

- The ideal candidate should have exceptional coding skills (Python/R), strong analytical skills including theoretical and practical knowledge of machine learning algorithms

- The ideal candidate should also possess excellent soft skills to support client engagements.

- They will work closely with highly experienced leaders in designing, developing and implementing cutting-edge analytics solutions for a variety of business problems.