Job Description

Job Title:

Data Scientist

Function:

Supply Chain

Location:

Mumbai HO

Req ID:

R-1171037

Overview

We are seeking a highly skilled Data Scientist to join our E-commerce FMCG team. This role is pivotal in leveraging data-driven insights to optimize supply chain, customer experience, and commercial performance. The Data Scientist will work closely with cross-functional teams to design predictive models, analyse consumer behaviour, and unlock opportunities that drive growth in the fast-paced FMCG e-commerce environment.

Key Responsibilities

Data Analysis & Insights

: Collect, clean, and analyse large datasets from multiple sources (sales, supply chain, customer behaviour) to generate actionable insights.

Predictive Modelling

: Develop and deploy machine learning models to forecast demand, optimize inventory, and improve product availability.

Supply Chain Optimization

: Use advanced analytics to identify inefficiencies, reduce stock-outs, and improve On-Time-In-Full (OTIF) performance.

Dashboard Development

: Build and maintain MIS dashboards to monitor KPIs such as fill rate, in-stock %, inventory days on hand, and customer service metrics.

Cross-Functional Collaboration

: Partner with E-commerce, Supply Planning, Customer Operations, and IT teams to deliver scalable data solutions.

Innovation & Capability Building

: Stay updated with industry trends, tools, and techniques to continuously enhance analytics capabilities.

Qualifications

Bachelor's/master's degree in data science, Statistics, Computer Science, or related field 3-5 years of experience in data science, preferably in FMCG or e-commerce Strong proficiency in Python/R, SQL, and data visualization tools (Power BI, Tableau, etc.) Experience with machine learning frameworks Solid understanding of supply chain, retail, or FMCG business models Excellent problem-solving, communication, and stakeholder management skills

All official offers from Unilever are issued only via our Applicant Tracking System (ATS). Offers from individuals or unofficial sources may be fraudulent - please verify before proceeding