The team will be responsible for the development and solutioning of the Customer Science Platform. The focus is on real time predictive analytics to derive actionable insights to intervene positively in the customer's digital journey.
The team will be exposed to challenges of using statistics in a business setting; incomplete data, biased data, large data sets, low signal-to-noise ratios, and high variance. Each individual needs to be creative and resourceful and will utilize traditional statistical methodologies as well as newer techniques such as computational statistics, data mining, big data capabilities and eventually to incorporate machine learning / AI techniques.
The role requires:
Perform full life-cycle of Data Scientist / Analyst activities, including conceptualization, visualization to operationalization
Primary focus will be in applying data science to solve business problems; data mining techniques, doing statistical analysis, building high-quality prediction systems, and use deep learning techniques
Able to understand and solve the business problem by translating into a data model and building insights into an actionable outcome
Collaborate with cross-functional teams to identify and prioritize actionable, high-impact insights across a variety of customer servicing areas
Research, design, implement and validate models / algorithms to analyse diverse sources of data to achieve targeted outcomes
Carry out customer behaviour analytics and deliver actionable insights in real time; through behaviour segmentation, predictive modelling, lifetime value modelling, churn prevention, statistical simulations and what if scenarios
Curious and have a strong appetite for intellectual challenges. Able to pick up new methods and techniques quickly and apply towards solving a problem at hand
Keen on learning, data, scale and agility. You excel at making complex concepts simple and easy to understand by those around you. You're driven to show the world the power of applied analytics
Passionate about asking and answering questions in large datasets, and you can communicate that passion to product managers and engineers
Attracted to a fast paced, hypothesis and test driven, collaborative and iterative engineering environment Driven, strategically focused, self-starter and organized with strong attention to detail
A good team player with excellent communication skills
A university degree or higher in applied statistics, data mining, machine learning, computing or related quantitative discipline, with a strong background in statistical concepts and calculations
Proven ability on structured problem solving, data-driven analysis, real time analytics, and deriving actionable outcomes within the Financial Services domain
Deep and practical understanding on implementing high performance, well-behaved analytics applications with a focus on storytelling and visualization
Experience with breaking down complex issues and show casing the right details in the right format in the right timeframe through a dashboard
Relevant experience in the following:
Must have excellent Python, R and software development skills
Experience with scripting languages (e.g. Python, R, Julia) for data manipulation and statistical computing tools i.e. Spark Streaming (extraction, cleansing, transformation, smoothing, PMML model execution)
Experience in working with large datasets through OLAP tools i.e. Druid
Experience creating real time and rich data visualizations that involves large datasets i.e. Highcharts
Experience manipulating structured and unstructured data sources for analysis i.e. Greenplum, SparkSQL, HBase, S3 by using Notebook technologies such as Jupyter and Zeppelin
Working experience in cloud based and open source technology components
Job Description :
To ensure customer service and support all operations. To create customer delight at every interaction.
Interacting with external customers and internal customers and addressing their queries, requests and complaints.
Committed TATs are met consistently
Complaints Management- addressing customer complaints at the branch, system updation, coordination with Sales/HUB/ other functions for resolution.
Refunds processing and dispatch
Undelivered policy documents tracking and management.
Maintenance of all files and registers.
New Business Processing:-
Handling end to end New business processing starting from creation of Client id,Case start up, New business login, Follow up for policy issuance, Quality Check
Follow up with HUB for policy issuance of pending cases