Sr Data Scientist

Birla Carbon; Maharashtra; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Birla Carbon is seeking a Sr Data Scientist in India to build analytical models and deliver dashboards using BI tools. The role focuses on predictive insights to optimize lending processes and profitability, collaborating with stakeholders across functions.

Ideal candidates will have 4–5 years of relevant experience, strong Python skills with ML libraries, and hands-on BI dashboard development using Power BI. Thane-based position with corporate growth potential.

Qualifications

• Hands-on experience with ML models and analytics.
• Proficiency in Python libraries for data science and visualization.
• Experience in Home Loans or Retail Lending is desirable.

Responsibilities

• KRA1 Data Visualization: Create automated dashboards for portfolio insights.
• KRA2 Predictive Analytics: Build models for collection, delinquency and churn.
• KRA3 Prescriptive Analytics: Support decision making under constraints.
• KRA4 Automated Reports: Develop dashboards for Sales, Risk, Finance and HR.

Skills

Python

NumPy

Pandas

Matplotlib

Seaborn

Scikit-Learn

TensorFlow

Education

Graduate in Statistics/Mathematics/Analytics/CS

Tools

Power BI

MySQL

Job description

At the Aditya Birla Group, our Corporate Vision is aligned and intricately woven with our People Vision.

Sr Data Scientist

Designation : NA

Location : India Maharashtra G-Corp Tech Park, Thane

Job Description:

Job Purpose

Analytics Manager will assist in building Analytical models using Machine learning to help drive predictive business decisions. Role will assist in creating Visualization Dashboards using BI Tool

And deliver regular analysis using appropriate Analytics model

Job Context/Job Challenges:

Job Context

ABHFL has expanded in Emerging, and Tier I market across country given the volume of Leads, Login which have inflow we would need Analytics to identify which cases to pick and process that will reduce overall waste and Increase approval and decision rates and make system more efficient. Given the sourcing from different customer segments and category like Prime, Affordable, and Informal segment through various channels like DSA, Referral, Builders, the pricing strategy would have to be analytics driven for better conversion among different segments. Also, the collection strategy must be analytics driven which will help predict NPA, delinquency basis customer behaviours and sourcing parameters

In P&L there are cost parameters like ECL Provisioning whose impact to P&L is huge and hence these parameters need to be predicted and optimised thereby increasing overall profitability.

Key Challenges

Ability to work with stakeholders across all level understand business objectives and make sure any analysis or finding are aligned to those business objectives

Deliver Complex and regular ad-hoc analysis using appropriate Analytics model

Identify problem statement and render tangible solutioning specifically from optimisation of process, product, Sales Optimisation, commercials, underwriting method

Enabling Skill Sets & Qualifications

Understanding of Business Analytics Tool and techniques like Machine Learning, Statistics etc.

Hands on Experience in designing, developing visually appealing and easy to Use Dashboards using Power BI

Hands-on experience with Python language knowledge of libraries for Data science like NumPy, Pandas, Matplotlib, Sea-burn, Scikit-Learn, Tensor Flow

Hands on Experience in MySQL and knowledge of working with databases

Experience of 4-5 years in Home Loans, Retail Lending products or related industry.

Educational Qualification Graduate preferably in Statistics/Mathematics, Analytics, Computer Science or related fields

Key Result Areas

KRA (Accountabilities) (Max 1325 Characters)

Supporting Actions (Max 1325 Characters)

KRA1 Data Visualization Create Automated Data Visualization reports for use cases like Monitoring Daily Portfolio Movement, Customer Churn, Product Portfolio health, Collection etc. for leadership team

KRA2 Predictive Analytics Build Predictive Models for use cases like collection efficiency, delinquency, Bounce Rates, Customer Churn, ECL Provisioning, NPA, Customer Segmentation, Campaigns, Customer Behavior etc.

KRA3 Prescriptive Analytics Prescriptive Analytics for Decision Making under constraints use cases like Recovery Strategy, Cost Benefit Analysis of projects, Budget etc.

KRA4 Automated Reports Automated Activity Trackers / Business Dashboards for various functions like Sales, Risk, Finance, HR Operations etc.

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