Head- Data Science

Fintech Pioneer | GGN

Head- Data Science

Unnati

Company

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Head- Data Science

at Fintech Pioneer | GGN

Agency job

via Unnati

8 - 13 yrs

₹60L - ₹70L / yr

Delhi, Gurugram, Noida

Skills

Data Science

Data Scientist

Python

SQL

Machine Learning (ML)

Analytics

Predictive modelling

Amazon Web Services (AWS)

Quality management

Join a leading MCommerce company, set your career on a flight towards success and growth.

Our client is one of the oldest fintech companies that is taking banking and financial services to all the customers through their online platform. Having served over 50 million customers in the last 15 years, it is enabling over 7mn banking transactions each month, with a network of nearly 2 lac merchants. Using its vast network of merchant outlets, the platform is reaching the lower and mid-income groups who deal in cash, for them to be able to remit money across the country digitally. It now plans to take its unique digital financial solutions to developing markets across the globe. As pioneers of mobile-based payment services in India, they empower Retailers, Individuals and Businesses to have an online presence and earn or save a little extra through the transactions.

As a Head - Data Science, you will be part of the leadership team and will be expected to manage ambiguity & help the Founders & other leaders in building the roadmap forward for the business.

You will be expected to adopt an "iron sharpens iron" attitude where you will focus on making everyone and every data-driven process better, blend people leadership/ management skills, use predictive modelling and analytics expertise, cloud computing skills and operational know-how.

What you will do:

Working closely with business stakeholders to define, strategize and execute crucial business problem statements which lie at the core of improvising current and future data-backed product offerings.
Building and refining underwriting models for extending credit to sellers and API Partners in collaboration with the lending team
Conceiving, planning and prioritizing data projects and manage timelines
Building analytical systems and predictive models as a part of the agile ecosystem
Testing performance of data-driven products participating in sprint-wise feature releases
Managing a team of data scientists and data engineers to develop, train and test predictive models
Managing collaboration with internal and external stakeholders
Building data-centric culture from within, partnering with every team, learning deeply about business, working with highly experienced, sharp and insanely ambitious colleagues

What you need to have:

B.Tech/ M.Tech/ MS/ PhD in Data Science / Computer Science, Statistics, Mathematics & Computation with a demonstrated skill-set in leading an Analytics and Data Science team from IIT, BITS Pilani, ISI
8+ years working in the Data Science and analytics domain with 3+ years of experience in leading a data science team to understand the projects to be prioritized, how the team strategy aligns with the organization mission;
Deep understanding of credit risk landscape; should have built or maintained underwriting models for unsecured lending products
Should have handled a leadership team in a tech startup preferably a fintech/ lending/ credit risk startup.
We value entrepreneurship spirit: if you have had the experience of starting your own venture - that is an added advantage.
Strategic thinker with agility and endurance
Aware of the latest industry trends in Data Science and Analytics with respect to Fintech, Digital Transformations and Credit-lending domain
Excellent command over communication is the key to manage multiple stakeholders like the leadership team, product teams, existing & new investors.
Cloud Computing, Python, SQL, ML algorithms, Analytics and problem - solving mindset
Knowledge and demonstrated skill-sets in AWS

Join a leading MCommerce company, set your career on a flight towards success and growth.

As a Head - Data Science, you will be part of the leadership team and will be expected to manage ambiguity & help the Founders & other leaders in building the roadmap forward for the business.

What you will do:

Working closely with business stakeholders to define, strategize and execute crucial business problem statements which lie at the core of improvising current and future data-backed product offerings.
Building and refining underwriting models for extending credit to sellers and API Partners in collaboration with the lending team
Conceiving, planning and prioritizing data projects and manage timelines
Building analytical systems and predictive models as a part of the agile ecosystem
Testing performance of data-driven products participating in sprint-wise feature releases
Managing a team of data scientists and data engineers to develop, train and test predictive models
Managing collaboration with internal and external stakeholders
Building data-centric culture from within, partnering with every team, learning deeply about business, working with highly experienced, sharp and insanely ambitious colleagues

What you need to have:

B.Tech/ M.Tech/ MS/ PhD in Data Science / Computer Science, Statistics, Mathematics & Computation with a demonstrated skill-set in leading an Analytics and Data Science team from IIT, BITS Pilani, ISI
8+ years working in the Data Science and analytics domain with 3+ years of experience in leading a data science team to understand the projects to be prioritized, how the team strategy aligns with the organization mission;
Deep understanding of credit risk landscape; should have built or maintained underwriting models for unsecured lending products
Should have handled a leadership team in a tech startup preferably a fintech/ lending/ credit risk startup.
We value entrepreneurship spirit: if you have had the experience of starting your own venture - that is an added advantage.
Strategic thinker with agility and endurance
Aware of the latest industry trends in Data Science and Analytics with respect to Fintech, Digital Transformations and Credit-lending domain
Excellent command over communication is the key to manage multiple stakeholders like the leadership team, product teams, existing & new investors.
Cloud Computing, Python, SQL, ML algorithms, Analytics and problem - solving mindset
Knowledge and demonstrated skill-sets in AWS

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