Relocation Assistance Offered Within Country
Job NumberÌý#170926 - Mumbai, Maharashtra, India

Who We Are

ºìÌÒÊÓƵ is a global consumer products company operating in over 200 countries specialising in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!

Join ºìÌÒÊÓƵ-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.

Title: AnalystÌý

Brief introduction - Role Summary/Purpose :

Ìý

• Join our analytics team at ºìÌÒÊÓƵ-Palmolive, where you’ll focus on social media data and insights. Use your analytical skills to monitor risk, track trends, and provide insights that help us improve our digital presence and consumer experiences.

• This is a collaborative, hands-on role where you'll need to be great at social media, digital analytics, and managing data. Plus, strong communication with stakeholders is key!

Ìý

Ìý

Ìý

Responsibilities:

Ìý

Social Media Listening & Data Management

Ìý

• Monitor Online Conversations:ÌýMonitor and analyze conversations across social media (X, Facebook, Instagram, YouTube etc.), forums, news, blogs, and reviews

• Analyze Data and Extract Insights:ÌýUtilize social listening tools to analyze large volumes of data, determine customer sentiment (positive, negative, neutral), and identify emerging themes or issues, also ensure data accuracy, relevance, and hygiene across projects

• Risk Identification and Mitigation:ÌýIdentify potential "red flags," inconsistencies, or reputational risks in online discussions and promptly escalate them to relevant team or the crisis managing team

Ìý

Analysis & Insights Support

Ìý

• Identify emerging themes, sentiment, and trends in online conversations

• Support tagging, categorization, and thematic analysis of large verbatim datasets

• Extract meaningful verbatims to support insights and storytelling

Ìý

Reporting & Storytelling

Ìý

• Assist in creating recurring reports

• Summarize findings into clear, concise insights for internal stakeholders

• Support senior analysts in preparing presentations and client-ready deliverables

Ìý

Collaboration & Learning

Ìý

• Work closely with senior team members to understand business objectives

• Incorporate feedback to improve analysis quality and insight depth

• Stay updated on social media platforms, digital trends, and analytics best practices

Ìý

Ìý

Ìý

Ìý

RequiredÌý Qualifications:

Ìý

• Graduate in Mass Media, Management Studies, Business Analytics, Marketing, or a related field.

• Minimum 2-3 years experience working in Data Insights / Analytics role

• Proficient with social media management/monitoring tools and digital analytics platforms; strong Excel and Google Workspace skills.

• Worked on Competition Intelligence solutions like Emplifi, Brandwatch, Sprinklr, Talkwalker, Synthesio, Profitero, Stackline, SEMrush, SimilarWeb

• Should have worked in a client facing / stakeholder management role to understand business needs and draw hypothesis

• Ability to Read , Analyze and Visualize dataÌý

• Effective Verbal & Written Communication for Business engagement

• Excellent presentation/visualization skills

Ìý

Ìý

Preferred Qualifications:

Ìý

• Working knowledge of consumer packaged goods industry

• Knowledge of Data Transformation tools - R/Python, Snowflake

• Working knowledge of visualization tools like Tableau, DOMO, Lookerstudio, SigmaÌý

• Created/worked on automated Insights solutionÌý

• Worked on Competition Intelligence solutions like Emplifi, Brandwatch, Sprinklr, Talkwalker, Synthesio, Profitero, Stackline, SEMrush, SimilarWeb

• Understanding of ºìÌÒÊÓƵ’s processes, and tools supporting analytics (for internal candidates)

• Willingness and ability to experiment with new tools and techniquesÌý

• Good facilitation and project management skills

Our Commitment to Inclusion
Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives Ìýto best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.

Equal Opportunity Employer
ºìÌÒÊÓƵ is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.

Reasonable accommodation during the application process is available for persons with disabilities. Please complete this should you require accommodation.

#LI-Hybrid

Title: Specialist, Business AnalyticsÌý

Ìý

Ìý

Job Summary (purpose)

Ìý

The candidate will support the ºìÌÒÊÓƵ Business Teams in Marketing and Insights functions across the globe. The role requires a person to have understanding of Internal & external data (Syndicated Market Data, Point of Sales etc.) and ability to provide Insights based Services & solutions.Ìý

The Person should have abilities to build insights from large External and Internal datasets. An Analytical problem solver with focus on Business Intelligence and Insights. Ability to work in a collaborative and customer focused (proactive and Responsive to Business needs). Excellent written and verbal communication skills.

Ìý

Ìý

Ìý

Main Responsibilities

Ìý

• Build Insights and Competition Intelligence solutionsÌý

• Work on Connected data solutions, building automated insights and reports

• Work on different datasets & systems (Marketing, Customers, Product masters, Finance, Digital, Point of Sales) and link the business rationales to develop & support Insights and Analytics

• Build & support standard Business evaluation Trackers & Dashboards per agreed to SLAs and respond to ad hoc requests for reporting and first level analysis

• Data Quality and Sanity is essential so validating the data, trackers and dashboards is prime

• Communicate and coordinate with Divisions and subsidiaries as part of investigation and resolution of discrepancies

• Engage with Business teams in Corporate, Divisions, Hub (Cluster of Countries) and countries to understand business requirements and collaborate on solutions

• Work with Internal Analytics teams & Information technology teams to learn and advance on developing sustainable and standard reporting trackers

• Partner with external data vendors to ensure timely data availability with appropriate data sanityÌý

• With constantly evolving business environment, you will find out different ways to tackle the business problem through Analytical solutions (Data transformation, Data Visualization, Data Insights)

Ìý

Ìý

Ìý

Required Qualifications:(Education, Knowledge required, Skills (language & other) etc)

Ìý

• Graduate in Engineering/Sciences/Statistics , MBAÌýÌý

• Experience with third-party data i.e. syndicated market data (Nielsen, Kantar, IRI) Point of Sales, etc.

• Minimum 3-4 years experience working in Data Insights / Analytics role

• Should have worked in a client facing / stakeholder management role to understand business needs and draw hypothesis

• Working knowledge of consumer packaged goods industry

• Knowledge of Data Transformation tools - R/Python, Snowflake, SQL

• Working knowledge of visualization tools like DOMO, Lookerstudio, Sigma

• Ability to Read , Analyze and Visualize dataÌý

• Effective Verbal & Written Communication for Business engagement

• Excellent presentation/visualization skills

Ìý

Ìý

Ìý

Preferred Qualifications

Ìý

• Created/worked on automated Insights solutionÌý

• Worked on Competition Intelligence solutions

• Understanding of ºìÌÒÊÓƵ’s processes, and tools supporting analytics (for internal candidates)

• Willingness and ability to experiment with new tools and techniquesÌý

• Good facilitation and project management skills

Our Commitment to Inclusion
Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives Ìýto best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.

Equal Opportunity Employer
ºìÌÒÊÓƵ is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.

Reasonable accommodation during the application process is available for persons with disabilities. Please complete this should you require accommodation.

#LI-Hybrid

Relocation Assistance Offered Within Country
Job NumberÌý#170782 - Mumbai, Maharashtra, India

Who We Are

ºìÌÒÊÓƵ is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!

Join ºìÌÒÊÓƵ-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.
Ìý

Title: Senior Analyst / Specialist, Business AnalyticsÌý

Ìý

Ìý

Ìý

Ìý

Job Summary (purpose)

Ìý

The candidate will support the ºìÌÒÊÓƵ Business Teams in Marketing and Insights functions across the globe. The role requires a person to have understanding of Internal & external data (Syndicated Market Data, Point of Sales etc.) and ability to provide Insights based Services & solutions.Ìý

The Person should have abilities to build insights from large External and Internal datasets. An Analytical problem solver with focus on Business Intelligence and Insights. Ability to work in a collaborative and customer focused (proactive and Responsive to Business needs). Excellent written and verbal communication skills.

Ìý

Ìý

Ìý

Ìý

Ìý

Main Responsibilities

Ìý

• Build Insights and Competition Intelligence solutionsÌý

• Work on Connected data solutions, building automated insights and reports

• Work on different datasets & systems (Marketing, Customers, Product masters, Finance, Digital, Point of Sales) and link the business rationales to develop & support Insights and Analytics

• Build & support standard Business evaluation Trackers & Dashboards per agreed to SLAs and respond to ad hoc requests for reporting and first level analysis

• Data Quality and Sanity is essential so validating the data, trackers and dashboards is prime

• Communicate and coordinate with Divisions and subsidiaries as part of investigation and resolution of discrepancies

• Engage with Business teams in Corporate, Divisions, Hub (Cluster of Countries) and countries to understand business requirements and collaborate on solutions

• Work with Internal Analytics teams & Information technology teams to learn and advance on developing sustainable and standard reporting trackers

• Partner with external data vendors to ensure timely data availability with appropriate data sanityÌý

• With constantly evolving business environment, you will find out different ways to tackle the business problem through Analytical solutions (Data transformation, Data Visualization, Data Insights)

Ìý

Ìý

Ìý

Ìý

Ìý

Required Qualifications:

Ìý

• Graduate in Engineering/Sciences/Statistics , MBAÌýÌý

• Experience with third-party data i.e. syndicated market data (Nielsen, Kantar, IRI) Point of Sales, etc.

• Minimum 3-4 years experience working in Data Insights / Analytics role

• Should have worked in a client facing / stakeholder management role to understand business needs and draw hypothesis

• Working knowledge of consumer packaged goods industry

• Knowledge of Data Transformation tools - Snowflake, SQL, Python,Ìý

• Working knowledge of visualization tools like DOMO, Lookerstudio, Sigma

• Ability to Read , Analyze and Visualize dataÌý

• Effective Verbal & Written Communication for Business engagement

• Excellent presentation/visualization skills

Ìý

Ìý

Ìý

Ìý

Ìý

Preferred Qualifications

Ìý

• Created/worked on automated Insights solutionÌý

• Worked on Competition Intelligence solutions

• Understanding of ºìÌÒÊÓƵ’s processes, and tools supporting analytics (for internal candidates)

• Willingness and ability to experiment with new tools and techniquesÌý

• Good facilitation and project management skills

Our Commitment to Inclusion
Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives Ìýto best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.


Equal Opportunity Employer
ºìÌÒÊÓƵ is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.

Reasonable accommodation during the application process is available for persons with disabilities. Please complete this should you require accommodation.

#LI-Hybrid

Relocation Assistance Offered Within Country
Job NumberÌý#170779 - Mumbai, Maharashtra, India

Who We Are

ºìÌÒÊÓƵ is a global consumer products company operating in over 200 countries specialising in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!

Join ºìÌÒÊÓƵ-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.

Role Summary :

• The GLOBAL DATA SCIENCE & ADVANCED ANALYTICS vertical in ºìÌÒÊÓƵ Palmolive is focused on working on business cases which have a big $ impact for the business addressing the business questions, with recommended actions and scope for scalability across markets.Ìý

• The Data Scientist position would lead GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects within the Analytics Continuum. The position conceptualizes and builds machine learning, predictive modeling, simulations, and optimization solutions for clear dollar objectives and measured value for ºìÌÒÊÓƵ Palmolive

• The role would require, to work on a range of GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects across Revenue Growth Management, Price Elasticity, Promotion Analytics, Marketing Mix Modeling

• Data Scientist needs to manage relationships independently with Business and stakeholders to drive projectsÌý

Ìý

Ìý

Ìý

Ìý

Responsibilities :

Ìý

• Conceptualizes and builds predictive modeling, simulations, and optimization solutions to address business questions or use cases

• Applies ML and AI to analytics algorithms to build inferential and predictive models allowing for scalable solutions to be deployed across the business

• Develops end to end business solutions from data extraction, data preparation, data mining to statistical modeling and then building business presentationsÌý

• Conducts model validations and continuous improvement of the algorithms, capabilities, or solutions built

• Deploys models using Airflow, Docker on Google Cloud Platforms

• Own Pricing and Promotion, Marketing Mix from scoping to delivery

• Study large amounts of data to discover trends and patterns Mine data through various technologies like BigQuery and SQLÌý

• Present insights in an easy to interpret way to the business teamsÌý

• Develop visualization (e.g. Looker, PyDash, Flask, PlotLy, streamlit) using large datasets and model output datasets

• Ready to work closely with business partners across geographies

Ìý

Ìý

Ìý

RequiredÌý Qualifications :

Ìý

• BE/BTECH [ Computer Science, Information Technology is preferred ], MBA or PGDM in Business Analytics / Data Science, Additional DS Certifications or Courses, MSC / MSTAT in Economics or Statistics

• 5+ years of experience in building statisticalÌý models and driving insightsÌý

• Hands-on/experience on developing statistical models, such as linear regression, ridge regression, lasso, random forest, SVM, gradient boosting, logistic regression, K-Means Clustering, Hierarchical Clustering, Bayesian Regression etc.

• Hands on experience on coding languages Python(mandatory) and SQL

• Knowledge of using GitHub, Airflow for coding and model deploymentsÌý

• Understand visualization frameworks PyDash, Flask, PlotLy

• Strong Understanding of Cloud Frameworks Google Cloud, Snowflake and services like Kubernetes, Cloud Build Cloud Run.

• Experience front facing Business teams (Client facing role) supporting and working with multi-functional teams in a dynamic environment

Ìý

Ìý

Ìý

Preferred Qualifications :

Ìý

• Managing, transforming, and developing statistical models for RGM/Pricing and/or Marketing Mix Models

• Experience with third-party data i.e., syndicated market data, Point of Sales, etc.Ìý

• Working knowledge of consumer packaged goods industryÌý

• Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

• Knowledge of Google Cloud products (BigQuery, data studio, kubernetes, cloud build, cloud run etc)

• Knowledge of deployment of models in Cloud Environment using Airflow, Docker

Our Commitment to Inclusion
Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives Ìýto best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.

Equal Opportunity Employer
ºìÌÒÊÓƵ is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.

Reasonable accommodation during the application process is available for persons with disabilities. Please complete this should you require accommodation.

#LI-Remote

Relocation Assistance Offered Within Country
Job NumberÌý#170275 - Mumbai, Maharashtra, India

Who We Are

ºìÌÒÊÓƵ is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!

Join ºìÌÒÊÓƵ-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.
Ìý

Ìý

Brief introduction - Role Summary/Purpose :

Ìý

• Understanding of Internal & external data (Syndicated Market Data, Point of Sales etc.)Ìý

• Ability to develop and support the Analytical / Insights based Service & solutions.Ìý

• Analytical problem solver with the ability to work on large data sets, collaborative and customer focused (proactive and Responsive to Business needs)

• Understanding of necessary Data Transformation & Data Visualization Tools and Technologies to drive the service and solutions

Ìý

Ìý

Ìý

Ìý

Ìý

Ìý

Responsibilities :

Ìý

• Work on Core RGM Pillars (Price, Promotion, Assortment & New Product Development)

• Implements cutting edge Analytical Algorithms on the Optimization Problems.

• Build & support standard Business evaluation Trackers & Dashboards per agreed to SLAs and respond to ad hoc requests for reporting and first level analysis

• Data Sanity is essential so validating the trackers and dashboards to ensure that consistency is maintained over different reporting cycles

• Work on different datasets & systems (Marketing, Customers, Product masters, Finance, Digital, Point of Sales) and link the business rationales to develop & support Analytical solutions

• Engage with Business teams in Corporate, Divisions, Hub (Cluster of Countries) and countries to understand business requirements and collaborate on solutions

• Work with Internal Analytics teams & Information technology teams to learn and advance on developing sustainable and standard reporting trackers

• Partner with external data vendorsÌý to ensure timely data availability with appropriate data sanity i.e. Nielsen, Kantar.Ìý

• Support / contribute to analytics projects (MMM, price, promo, portfolio and on-line) with proper tools, consultancy and analysis

Ìý

Ìý

Ìý

Ìý

Ìý

Ìý

Ìý

RequiredÌý Qualifications :

Ìý

• Graduate in Engineering/Sciences/Statistics , MBAÌýÌý

• Experience with third-party data i.e. syndicated market data (Nielsen, Kantar, IRI) Point of Sales, etc.

• Minimum 3-5 years experience working in RGM/ PnP / Advanced Analytics role

• Hands-on Data Transformation tools - Python, Snowflake, SQL

• Working knowledge of visualization tools like Sigma, Lookerstudio, DOMO

• Effective Verbal & Written Communication for Business engagement

• Excellent presentation/visualization skills

Ìý

Ìý

Ìý

Ìý

Preferred Qualifications :

Ìý

• Created/worked on PnP/RGM based projects/dashboard

• Understanding of ºìÌÒÊÓƵ’s processes, and tools supporting analytics (for internal candidates)

• Willingness and ability to experiment with new tools and techniquesÌý

• Good facilitation and project management skills

Our Commitment to Inclusion
Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives Ìýto best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.


Equal Opportunity Employer
ºìÌÒÊÓƵ is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.

Reasonable accommodation during the application process is available for persons with disabilities. Please complete this should you require accommodation.

#LI-Hybrid

Relocation Assistance Offered Within Country
Job NumberÌý#170264 - Mumbai, Maharashtra, India

Who We Are

ºìÌÒÊÓƵ is a global consumer products company operating in over 200 countries specialising in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!

Join ºìÌÒÊÓƵ-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.

Role Summary :

Ìý

• The GLOBAL DATA SCIENCE & ADVANCED ANALYTICS vertical in ºìÌÒÊÓƵ Palmolive is focused on working on business cases which have a big $ impact for the business addressing the business questions, with recommended actions and scope for scalability across markets.Ìý

• The Data Scientist position would lead GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects within the Analytics Continuum. The position conceptualizes and builds machine learning, predictive modeling, simulations, and optimization solutions for clear dollar objectives and measured value for ºìÌÒÊÓƵ Palmolive

• The role would require, to work on a range of GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects across Revenue Growth Management, Price Elasticity, Promotion Analytics, Marketing Mix Modeling

• Data Scientist needs to manage relationships independently with Business and stakeholders to drive projectsÌý

Ìý

Ìý

Ìý

Ìý

Responsibilities :

Ìý

• Conceptualizes and builds predictive modeling, simulations, and optimization solutions to address business questions or use cases

• Applies ML and AI to analytics algorithms to build inferential and predictive models allowing for scalable solutions to be deployed across the business

• Develops end to end business solutions from data extraction, data preparation, data mining to statistical modeling and then building business presentationsÌý

• Conducts model validations and continuous improvement of the algorithms, capabilities, or solutions built

• Deploys models using Airflow, Docker on Google Cloud Platforms

• Own Pricing and Promotion, Marketing Mix from scoping to delivery

• Study large amounts of data to discover trends and patterns Mine data through various technologies like BigQuery and SQLÌý

• Present insights in an easy to interpret way to the business teamsÌý

• Develop visualization (e.g. Looker, PyDash, Flask, PlotLy, streamlit) using large datasets and model output datasets

• Ready to work closely with business partners across geographies

Ìý

Ìý

RequiredÌý Qualifications :

Ìý

• BE/BTECH [ Computer Science, Information Technology is preferred ], MBA or PGDM in Business Analytics / Data Science, Additional DS Certifications or Courses, MSC / MSTAT in Economics or Statistics

• 5+ years of experience in building statisticalÌý models and driving insightsÌý

• Hands-on/experience on developing statistical models, such as linear regression, ridge regression, lasso, random forest, SVM, gradient boosting, logistic regression, K-Means Clustering, Hierarchical Clustering, Bayesian Regression etc.

• Hands on experience on coding languages Python(mandatory) and SQL

• Knowledge of using GitHub, Airflow for coding and model deploymentsÌý

• Understand visualization frameworks PyDash, Flask, PlotLy

• Strong Understanding of Cloud Frameworks Google Cloud, Snowflake and services like Kubernetes, Cloud Build Cloud Run.

• Experience front facing Business teams (Client facing role) supporting and working with multi-functional teams in a dynamic environment

Ìý

Ìý

Ìý

Preferred Qualifications :

Ìý

• Managing, transforming, and developing statistical models for RGM/Pricing and/or Marketing Mix Models

• Experience with third-party data i.e., syndicated market data, Point of Sales, etc.Ìý

• Working knowledge of consumer packaged goods industryÌý

• Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

• Knowledge of Google Cloud products (BigQuery, data studio, kubernetes, cloud build, cloud run etc)

• Knowledge of deployment of models in Cloud Environment using Airflow, Docker

Our Commitment to Inclusion
Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives Ìýto best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.

Equal Opportunity Employer
ºìÌÒÊÓƵ is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.

Reasonable accommodation during the application process is available for persons with disabilities. Please complete this should you require accommodation.

#LI-Remote

No Relocation Assistance Offered
Job NumberÌý#170265 - Mumbai, Maharashtra, India

Who We Are

ºìÌÒÊÓƵ is a global consumer products company operating in over 200 countries specialising in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!

Join ºìÌÒÊÓƵ-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.

Role Summary :

Ìý

• The GLOBAL DATA SCIENCE & ADVANCED ANALYTICS vertical in ºìÌÒÊÓƵ Palmolive is focused on working on business cases which have a big $ impact for the business addressing the business questions, with recommended actions and scope for scalability across markets.Ìý

• The Data Scientist position would lead GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects within the Analytics Continuum. The position conceptualizes and builds machine learning, predictive modeling, simulations, and optimization solutions for clear dollar objectives and measured value for ºìÌÒÊÓƵ Palmolive

• The role would require, to work on a range of GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects across Revenue Growth Management, Price Elasticity, Promotion Analytics, Marketing Mix Modeling

• Data Scientist needs to manage relationships independently with Business and stakeholders to drive projectsÌý

Ìý

Ìý

Ìý

Ìý

Responsibilities :

Ìý

• Conceptualizes and builds predictive modeling, simulations, and optimization solutions to address business questions or use cases

• Applies ML and AI to analytics algorithms to build inferential and predictive models allowing for scalable solutions to be deployed across the business

• Develops end to end business solutions from data extraction, data preparation, data mining to statistical modeling and then building business presentationsÌý

• Conducts model validations and continuous improvement of the algorithms, capabilities, or solutions built

• Deploys models using Airflow, Docker on Google Cloud Platforms

• Own Pricing and Promotion, Marketing Mix from scoping to delivery

• Study large amounts of data to discover trends and patterns Mine data through various technologies like BigQuery and SQLÌý

• Present insights in an easy to interpret way to the business teamsÌý

• Develop visualization (e.g. Looker, PyDash, Flask, PlotLy, streamlit) using large datasets and model output datasets

• Ready to work closely with business partners across geographies

Ìý

Ìý

Ìý

RequiredÌý Qualifications :

Ìý

• BE/BTECH [ Computer Science, Information Technology is preferred ], MBA or PGDM in Business Analytics / Data Science, Additional DS Certifications or Courses, MSC / MSTAT in Economics or Statistics

• 5+ years of experience in building statisticalÌý models and driving insightsÌý

• Hands-on/experience on developing statistical models, such as linear regression, ridge regression, lasso, random forest, SVM, gradient boosting, logistic regression, K-Means Clustering, Hierarchical Clustering, Bayesian Regression etc.

• Hands on experience on coding languages Python(mandatory) and SQL

• Knowledge of using GitHub, Airflow for coding and model deploymentsÌý

• Understand visualization frameworks PyDash, Flask, PlotLy

• Strong Understanding of Cloud Frameworks Google Cloud, Snowflake and services like Kubernetes, Cloud Build Cloud Run.

• Experience front facing Business teams (Client facing role) supporting and working with multi-functional teams in a dynamic environment

Ìý

Ìý

Ìý

Preferred Qualifications :

Ìý

• Managing, transforming, and developing statistical models for RGM/Pricing and/or Marketing Mix Models

• Experience with third-party data i.e., syndicated market data, Point of Sales, etc.Ìý

• Working knowledge of consumer packaged goods industryÌý

• Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

• Knowledge of Google Cloud products (BigQuery, data studio, kubernetes, cloud build, cloud run etc)

• Knowledge of deployment of models in Cloud Environment using Airflow, Docker

Our Commitment to Inclusion
Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives Ìýto best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.

Equal Opportunity Employer
ºìÌÒÊÓƵ is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.

Reasonable accommodation during the application process is available for persons with disabilities. Please complete this should you require accommodation.

#LI-Remote

Relocation Assistance Offered Within Country
Job NumberÌý#170309 - Mumbai, Maharashtra, India

Who We Are

ºìÌÒÊÓƵ is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!

Join ºìÌÒÊÓƵ-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.
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Title: Analyst / Sr. Analyst, Business Analytics

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Brief introduction - Role Summary/Purpose :

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• The candidate will support ºìÌÒÊÓƵ Business teams across the globe by providing Data & Analysis support. The role requires you to have understanding of Internal & external data (Syndicated Market Data, Point of Sales etc.) and ability to develop and support the Analytical / Insights based Service & Solutions

• Great to have an understanding of necessary Data Transformation & Data Visualization Tools and Technologies to drive the service and solutions

• The Person should be Analytical problem solver with the ability to work on large data sets, collaborative and customer focused (proactive and Responsive to Business needs) and Effective in Written and verbal communication skills

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Responsibilities :

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• Build Insights and Competition Intelligence solutionsÌý

• With constantly evolving business environment, you will find out different ways to tackle the business problem through Analytics solutions and leveraging technology (Data transformation, Data Visualization, Data Insights) - Use of SQL, Python, R, Snowflake is a must

• Ability to Query Data from Snowflake and Big Query

• Work on different datasets & systems (Marketing, Customers, Product masters, Finance, Digital, Point of Sales) and link the business rationales to develop & support Analytics solutions

• Build & support standard Business evaluation Trackers & Dashboards per agreed to SLAs and respond to ad hoc requests for reporting and first level analysis

• Data Quality and Sanity is essential so validating the data, trackers and dashboards is critical

• You will engage with Business teams in Corporate, Divisions, Hub (Cluster of Countries) and countries to understand business requirements and collaborate on solutions

• Work with Internal Analytics teams & Information technology teams to learn and advance on developing sustainable and standard reporting trackers

• Partner with external data vendorsÌý to ensure timely data availability with appropriate data sanity i.e. Nielsen, Kantar. Manage the contracts and set performance KPIs and conduct quarterly/annual reviews of data providers

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RequiredÌý Qualifications :

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• Graduate in Engineering/Statistics , MBAÌý

• Minimum 2 years experience working in Data Insights / Analytics role

• Experience with third-party data i.e. syndicated market data (Nielsen, Kantar, IRI) Point of Sales, etc.

• Should have worked in a client facing / stakeholder management role to understand business needs and draw hypothesis

• Knowledge of Data Transformation tools - R, Python, Snowflake, DBT

• Expertise in either of visualization tools like Tableau, DOMO, Looker Studio, Sigma

• Ability to Read, Analyze and Visualize dataÌý

• Strong Verbal & Written Communication skills for Business engagement

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Preferred Qualifications :

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• Experience with third-party data i.e. syndicated market data (Nielsen, Kantar, IRI) , Point of Sales, etc.

• Created/worked on automation and developing Analytics solutions

• Working knowledge of consumer packaged goods industry

• Understanding of ºìÌÒÊÓƵ’s processes, and tools supporting analytics (for internal candidates)

• Willingness and ability to experiment with new tools and techniquesÌý

• Good facilitation and project management skills

Our Commitment to Inclusion
Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives Ìýto best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.


Equal Opportunity Employer
ºìÌÒÊÓƵ is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.

Reasonable accommodation during the application process is available for persons with disabilities. Please complete this should you require accommodation.

#LI-Hybrid

Relocation Assistance Offered Within Country
Job NumberÌý#170634 - Mumbai, Maharashtra, India

Who We Are

ºìÌÒÊÓƵ is a global consumer products company operating in over 200 countries specialising in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!

Join ºìÌÒÊÓƵ-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.

Brief introduction - Role Summary/Purpose

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• The Global Data Science team at ºìÌÒÊÓƵ-Palmolive builds and deploys analytics solutions to drive business growth, focusing on areas like Price Elasticity, Trade Promo Efficiency, and Marketing Effectiveness.

• To meet increasing demand, new geographically based "Advanced Analytics Pods" are being created, with this role leading the "Europe and Africa Eurasia Pod" and managing six data scientists.

• This position involves close collaboration with the capability center, Division Analytics and business teams to understand needs, prioritize projects, and deliver relevant analytics solutions.

• The role requires strong expertise in statistical data analytics, machine learning/AI, and CPG analytics to develop predictive models, manage large datasets, and translate insights into business impact.

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Responsibilities

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• Leads the scoping and delivery of Pricing, Promotion, and Marketing Effectiveness analytics, including conceptualizing and building predictive models, machine learning algorithms, and optimization solutions.

• Plays a key role in the governance and continuous improvement of internal analytics solutions, collaborating with other Advanced Analytics Pods.

• Translates complex analytical results and insights into easily understandable and actionable recommendations for business teams, effectively bridging the gap between business needs and data science.

• Develops and manages visualization deliverables and web applications to enable self-service analytics and diagnostics for various functions.

• Writes SQL and Python code to build and deploy scalable enterprise-level data science solutions (e.g., Marketing Mix Modeling, Revenue Growth Management) on cloud platforms using tools like Airflow, Docker, and Kubernetes.

• Leads, mentors, and coaches a team of data scientists, ensuring the quality of recommendations and solutions deployed globally, and drives new value by integrating internal and external data.

• Collaborates effectively with cross-functional teams (GIT, Data Architecture, Analytics Engineering) and business partners across geographies and time zones, assisting with change management and presenting insights to stakeholders.

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RequiredÌý Qualifications

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• Educational Background & Experience: Requires a Bachelor's degree (Master's/MBA preferred) in a quantitative/technical field (Data Science, Engineering, Statistics, Economics, etc.) with 7+ years in data science and analytics, including 2+ years managing/setting up a data science team.

• Advanced Technical Expertise: Strong hands-on experience developing and deploying statistical models and machine learning algorithms (Regression, Random Forest, XGBOOST, Clustering, etc.) in production, with expert coding skills in Python, SQL, PySpark, and R.

• MLOps & Cloud Proficiency: Demonstrable experience with MLOps practices (GitHub, Airflow, Docker, Kubernetes, Databricks, Dataiku) and cloud platforms like Google Cloud and Snowflake, managing high-volume, varied data sources.

• Domain Specialization & Business Acumen: Expert knowledge in Marketing Mix Modeling, Revenue Growth Management, Optimization, Forecasting, and Marketing Analytics, preferably in CPG or consulting, with the ability to think strategically in complex business contexts.

• Client-Facing & Communication Skills: Proven experience in a client-facing role, supporting multi-functional teams, with exceptional communication, collaboration, presentation, and storytelling skills to convey insights to business stakeholders.

• Project Leadership & Execution: Ability to independently plan and execute deliveries, lead project teams for predictive modeling and ad-hoc data needs, and build processes for data transformation and management.

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Preferred Qualifications

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• Proficient in building web applications using frameworks like Pydash, Plotly, R Shiny, Streamlit, Django, Dash, Python Flask, React.js, or Angular JS.

• Experienced with advanced AI and machine learning concepts including Deep Learning, Reinforcement Learning, Image Recognition, GenAI, and understanding the real-world application of various ML techniques.

• Strong knowledge of cloud environments and MLOps tools, including Databricks, Docker, Azure Data Factory, machine learning APIs (Azure, AWS, Vertex AI), Snowflake, and Google Cloud components (Cloud Build, Cloud Run, Kubernetes).

• Familiar with data visualization tools (Domo, Looker, Streamlit), working with third-party data (syndicated market data, Point of Sales), and has experience in Data Science roles within the CPG industry, ideally in relevant geographies.

Our Commitment to Inclusion
Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives Ìýto best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.

Equal Opportunity Employer
ºìÌÒÊÓƵ is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.

Reasonable accommodation during the application process is available for persons with disabilities. Please complete this should you require accommodation.

#LI-Remote

Relocation Assistance Offered Within Country
Job NumberÌý#169901 - Mumbai, Maharashtra, India

Who We Are

ºìÌÒÊÓƵ is a global consumer products company operating in over 200 countries specialising in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!

Join ºìÌÒÊÓƵ-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.

Title: Associate Team LeadÌý

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Brief introduction - Role Summary/Purpose :

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ÌýLeadership Competencies

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• Business perspective

• Fostering Experimentation

• Developing/Coaching people

• Influence/Negotiation

• Effective Execution

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Functional Competencies

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• Analytics Expertise

• Business Process Knowledge

• Effective Service delivery

• Governance and Compliance

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Responsibilities :

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• Reconcile Balance Sheet Accounts, Bank accounts and follow up on open items

• Build data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader

• Work with data and analytics specialists to strive for greater functionality in our data systems

• Development of scalable data management and reporting solutions to support analytics for Marketing and Customer Development (Sales) working with the Division/Global Analytics Functional Leads

• Develop and manage visualization deliverables that bring to life the data sets allowing for drill downs, diagnostics and self-service by the functions in the center and on the ground.

• Assist with change management needs (e.g., training, communications, etc.) as part of roll-out and on-going support of analytic tools, processes and services.

• Ready to work collaboratively with business partners across geographies

• People management including performance and appraisal management

RequiredÌý Qualifications :

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• Bachelor’s degree required, Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field a plus

• Master’s in Business or Analytics (preferred)

• 7-10 years of experience

• Experience supporting and working with multi-functional teams in a dynamic environment

• Working knowledge of MS Office & Google suite

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Preferred Qualifications :

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• Strong Collaboration & Stakeholder managementÌý

• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.

• Working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases

• ExperienceÌý

• Experience with relational SQL and NoSQL databases: MongoDB, Neo4j, etc

• Experience with cloud services: GCP, AWS, etc

• Experience with object-oriented/object function scripting languages: Python, Java, etc.

• Experience with big data tools: Hadoop, Spark, Kafka, etc.

• Experience with Data Flow, Data Pipeline and workflow management tools: Cloud Composer, Airflow, Luigi, etc

Our Commitment to Inclusion
Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives Ìýto best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.

Equal Opportunity Employer
ºìÌÒÊÓƵ is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.

Reasonable accommodation during the application process is available for persons with disabilities. Please complete this should you require accommodation.

#LI-Hybrid