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Lead - Data Science @ Havells

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 Lead - Data Science

Job Description

Role & responsibilities

Key responsibilities:

Analytics & Data Science

  • Strategy Formulation & Execution: Participate in the conceptualization of AI & Data Science strategy, develop, execute and sustain; strive to build a practice and organization culture around same
  • Manage & Enrich Big Data Work on Datawarehouse for sales, consumer data, manufacturing data and all the user attributes, think of ways to enrich data (both structured/unstructured)
  • Engage with Data Engineering team on building/maintaining/enhancing Data Lake/Warehouse in MS Azure Databricks (Cloud)
  • Data preparation, new attribute development, preparing Single View of consumers, Single View of Retailers/electricians etc
  • Consumer Insights & Campaign Analysis - Drive adhoc analysis & regular insights from data to generate insights and drive campaign performance
  • Build a Gen AI powered Consumer Insights Factory
  • Support insights from consumer, loyalty, app, sales, transactional data
  • Data mining/AI/ML to support upsell/cross-sell/retention/loyalty/engagement campaigns & target audience identification
  • Purchase behavior/market basket analysis
  • Predictive Analytics & Advanced Data Science - Build & maintain Predictive analytics AI/ML models for use cases in Consumer Domain, Consumer Experience (CX), Service, example:
  • Product recommendations
  • Likely to buy product or services (AMC)
  • Lead scoring conversion
  • Service Risk Scoring or Service Franchise/Technician performance score
  • Likely to be a detractor or Likely to churn
  • Market mix modelling
  • Dashboarding: Build, manage, support various MIS/dashboards via Data Engineering/Visualization team
  • Power BI dashboards & other visualization
  • Adhoc dashboards

Analytics & Data Science Other Domains SCM, Sales Op, Manufacturing, Marketing

Support AI/ML models for Sales Transformation or SCM or Marketing Use Cases:

  • Market Mix Modeling
  • Retailer/Electrician loyalty program optimization
  • Retailer/partner risk scoring or churn prediction
  • Product placement & channel partner classification
  • Improve forecast accuracy & Out of Stock prediction

Gen AI Use Cases : Extensively leverage LLM Models, Agentic AI capabilities to solve business use cases : Chatbot for business users, data mining at fingertips, Chatbot for consumers, Service Voice Agent, Manufacturing use cases etc

  • Deep data mining to support digital analytics, website behavior, app behavior analytics, call center/CS behavior, NPS, retailer & electrician loyalty etc

Preferred candidate profile


7-14 years of direct experience in predictive analytics, decision science and AI in atleast two domains out of the following: consumer, sales operations, Supply chain, manufacturing, in any industry. Hands-on experience & knowledge of modern analytical tools, techniques & software (python, R, SQL, SPSS, SAS). Experience of building & leading team is a must.

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time

Contact Details:

Company: Havells
Location(s): Noida, Gurugram

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Keyskills:   Data Science Pyspark Hadoop Python SQL

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Havells

Havells India Limited is a leading FMEG company with a strong global presence, manufacturing a wide range of electrical products for residential, commercial, and industrial use. Key brands include Havells, Havells Studio, Lloyd, Havells Crabtree, Standard Electricals and REO. With a focus on innova...