Data Scientist - Banking

Summary : 

- Ideal candidate will be having hands on experience in developing predictive models in some of these areas crosssell/ upsell strategies, market segmentation, churn & CLV modeling or price optimization etc, using Python & R

Qualification : Masters in statistics, mathematics, economics, Engineering or MBA from a reputed institute

Experience : 

- 8 years and above in analytics with an experience in advanced analytics/ predictive modeling, segmentation, clustering, forecasting, regression, advance machine learning, NLP, image processing etc.

- Candidate should have worked hands on in developing predictive models in some of these areas crosssell / upsell strategies, market segmentation, price optimization, time to event, survival analysis etc

Mandatory Skills :

- Ability to engage clients to understand business requirements and convert the same into technical/modeling problems for solution development

- Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists

- Demonstrated knowledge of analytical/statistical techniques and their applications- a working knowledge of/experience in R and Python is a plus

- Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English

- Ability to present results of statistical models in business language

- Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate)

- Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus

- Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports

Preferred Skills :

- Ability to manage specific tasks to completion with minimal direction

- Ideal candidate has been in a consulting role previously

Hands on :

- Expertise on the applied statistical techniques including multivariate regression, logistic regression, marketmix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc.

- Ability to collaborate with onsite colleagues in the US & UK

- Expert in handling large data, cleansing & preparation for modeling

- Very high attention to detail and quality

Responsibilities :

- Interact with clients and internal stakeholders to capture business requirement

- Define project scope and deliverables that support business goals- collaborate with delivery team and analytics practice lead to deliver projects

- Design analytical solution to client's problems, identify data requirements, develop plan and delivery results in a timebound fashion

- Lead from front by designing & developing innovative solutions to complex, challenging & first of its kind problems

- Create templates for reports and visual presentations

- Interpret the analytical results and create stories- present stories and recommended next steps to client

- Audit deliverables to make sure that they are accurate and meet requirements by critically examining the data

CTC Offered : Max 30 Lakhs

Shift : 1 pm to 10 pm