Data Scientist - BFSI (4-10 yrs)

About the Employer
Annual Salary
Not disclosed

Job Description

Performing data-mining and statistical analysis, including predictive modeling, generating and validating hypotheses using data, to support database-marketing strategies that improve customer acquisition/ retention, enhance customer experience, leading to incremental revenue for the Bank.

Job Responsibilities include :-

- Managing analytical solution delivery for 2+ business lines

- Develop predictive models, behavioral segments and event triggers

- Analyse portfolio for solving business problems / identifying new opportunities

- Regular interaction with business / product / campaigns teams

- Ensuring all new analytical solutions are utilized

- Provide end to end analytical support for the given business lines with an objective of increasing campaign revenue / marketing efficiencies / customer value

- Build predictive models / behavioral segments / event triggers for x-sell / activation / retention / attrition control - models to meet minimum performance benchmark

- To be... done for all product / business lines handled by the analyst

- Work with business / campaign stakeholders to understand objective / problem statement, generate hypothesis to solve the objective / problem and run statistical analysis to validate the same

- Work jointly with campaigns and business team to identify business problem, discuss analytical approach and explain the solution which has been developed

- Work jointly with campaigns and business team to ensure that minimum 60% of analytical solutions developed in the FY are utilized for campaigns / on ground activities.

- Seek feedback from campaigns and business which can be plugged back to the analytical solution.UKFtUe{width:300px;background-color:#fff;margin:-20px auto 0 auto !important}.hX3Zcb{color:#202124;font-family:Google Sans,arial,sans-serif-medium,sans-serif;font-weight:500;display:block;margin-left:24px;margin-right:24px}.atHusc{border-top:1px solid rgba(0,0,0,.1);margin-top:20px}g-inline-expansion-bar>div>div{text-align:center;width:100%;left:0 !important}g-expandable-content{display:block}g-inline-expansion-bar{cursor:pointer;display:block;overflow:hidden;position:relative;}html:not(.zAoYTe) g-inline-expansion-bar:focus{outline:none}.TJMQHf{opacity:0;visibility:hidden}.lA0GG{position:absolute;white-space:nowrap}.HbX59e{margin-left:0px}.xTWltf{margin-right:24px}.u2sJ0e{border-top:1px solid rgba(0,0,0,.12)}.z0RPff{height:48px;line-height:48px}.xrIqbe{color:#70757a;top:50%;margin-top:-12px;left:0}.Z2Akxc .xrIqbe{left:50%;margin-left:-12px}.u2sJ0e .xrIqbe{position:absolute}.u2sJ0e .lA0GG{color:#202124;font-size:14px;left:64px;}.CfceXb.u2sJ0e .lA0GG{left:48px}.hfoBFd{margin-left:24px;margin-right:24px}.wdcVy{margin-bottom:16px;margin-top:16px}.AvEv1e{border:1px solid rgba(0,0,0,.12);border-radius:20px;height:40px;line-height:40px}.AvEv1e::before{bottom:-4px;content:'';left:0;position:absolute;right:0;top:-4px}Show full description

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