Head - Artificial Intelligence & Data Analytics - BFS

Background and Description

We are on the hunt for engineering leaders and enthusiasts, who use innovative technologies to build, deploy and operate our products at a massive scale.

At NPCI, we don't just build products, we build wonders that help revolutionize entire ecosystem. It is the diversity of people and ideas that encourages ambition and innovation. Join NPCI, and help us build state of the art technologies for India.

Do you want to work with massive scale analytics that can help millions of Indians?

As Head of Data Analytics & AI, you will have the responsibility to do just that.

Why should you apply ?

As a part of the Analytics team, you will be solving real world problems that impact the day to day lives of millions of Indians.

This encourages a multidimensional thinking from the world of AI/ML to expedite these.

- Increase in no. of customers for new products

- Cross-sell/ Upsell rate

- Retention rate

- Repeat Business Revenue

You'll be working at a scale that only a select few in India get to experience. The work is extremely fulfilling from a pure challenge perspective requiring holistic thinking, starting from data ingestion right up to engineering models that will carry out real time prediction.

Role - Head/ Incharge - AI & Analytics

Location: Mumbai

Qualification- Bachelor's Degree with specialization in data science, MBA preferred

Experience- 12+ years of total experience, 7+ years working in a data analytics role

Role Contour- Drive the effective use of deep market and consumer analytics insights to enhance business performance and profitability.

You will spend time on the following:

- Establish system for tracking metrics and create cadence for review within team

- Perform customer analytics to drive new business growth by recommending strategies to improve metrics like renewal rates, product adaptation rates, cross-sell/upsell rate, customer satisfaction etc.

- Map customer journey and develop listening points in the journey. Recommend interventions for each
point in journey

- Define segmentation of customer base and recommend strategies for each segment

- Enhance effectiveness and efficiency through analytics technology

- Delivery key predictive and descriptive models such as customer lifetime value models, and tenure,
spend, and price models etc.

- Identify and manage external partners for delivery of market benchmarking and specialized data
science services

Competencies :

Technical

Capability & Scalability

- IT DC & Network Operation

- Performance Tuning & Scalability

- Open-Source Cloud, Database, OS Management

- Data Mining

- Big Data Management

- Data Visualization

- Insights Analytics

Kindly share below the details with your updated CV.

Total Experience:
Relevant Experience:
Exp in Customer Analytics:
Exp.in Python:
Exp.in Customer Insights:
Team Lead Exp:
Team Size:
Banking / Payment Domain Exp:
Qualification:
Current Designation:
Current Organization:
Current CTC:
Expected CTC:
Notice Period:
Current Location:
Reason for Job Change:
Offer in Hand:
Date of Birth: