Explore entry-level data science opportunities within India's expanding tech sector. This field presents roles perfect for those starting their careers in analytics and 20,715 Junior Data Scientist jobs in India
Principal Data Scientist/ Data Science Manager
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About The Team
Our Data Science team is the Avengers to Meesho's S.H.I.E.L.D . And why not? We are the ones who assemble during the toughest challenges and devise creative solutions, building intelligent systems for millions of our users looking at a thousand different categories of products. We've barely scratched the surface, and have amazing challenges in charting the future of commerce for Bharat.
Our typical day involves dealing with fraud detection, inventory optimisation, and platform vernacularisation.
About The Role
As a Principal Data Scientist in our AdTech team, you'll drive innovation in our advertising platform using advanced machine learning and statistical methods. You'll tackle complex problems in real-time bidding, ad ranking optimization, budget efficiency, and performance measurement that directly impact our business's bottom line. This role requires technical excellence and business acumen and you'll collaborate with cross-functional teams to transform data insights into actionable strategies that enhance our advertising ecosystem.
What You Will Do
- Design and develop sophisticated bidding, budget pacing and other algorithms that optimize ad spend or ROI.
- Create frameworks and experimental design to measure ad effectiveness and ROI.
- Collaborate with product and engineering teams to translate business requirements into efficient AI/ML solutions.
- Communicate long-term roadmap, insights and recommendations to tech and business leadership.
- Mentor junior data scientists and provide technical guidance.
- Lead research initiatives in machine learning, auction theory and advertising technology.
What You Will Need
- B.Tech in Computer Science, Machine Learning, or a related field with at least 6+ years of experience in AI/ML research.
- Experience in auction theory, predictive modelling, causal inference, and reinforcement learning.
- Expertise in PyTorch or TensorFlow, and proficiency in Python as well as big data technologies.
- History of mentoring junior data scientists, and comfortable in driving multiple problem statements.
- Excellent communication skills, able to explain complex concepts to both technical and non-technical audiences.
Preferred Qualifications
- M.Tech or Ph.d in Computer Science with a specialization in Machine Learning.
- 3+ years of experience applying machine learning and statistical modeling in AdTech, or related domains.
- Exposure in real-time bidding systems, programmatic advertising, or ad exchanges.
- Track record of successful research-to-product transitions.
- Strong publication record in top AI conferences (e.g., NeurIPS, ICML, ICLR, KDD, CVPR, AAAI).
SENIOR DATA SCIENTIST, GLOBAL DATA SCIENCE
Posted 9 days ago
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Job Number # - Mumbai, Maharashtra, India
**Who We Are**
Colgate-Palmolive Company 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 Colgate-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: Senior Data Scientist, Global Data Science**
**Brief introduction - Role Summary/Purpose (3-4 sentences max.):**
+ The GLOBAL DATA SCIENCE & ADVANCED ANALYTICS vertical in Colgate 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.
+ 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 Colgate 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 projects
**Responsibilities (4-6 bullet points):**
+ 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 presentations
+ 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 SQL
+ Present insights in an easy to interpret way to the business teams
+ 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
**Required Qualifications (3-5 bullet points):**
+ 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 statistical models and driving insights
+ 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 deployments
+ 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
**Preferred Qualifications (3-5 bullet points):**
+ 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.
+ Working knowledge of consumer packaged goods industry
+ 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 to 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**
Colgate 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 request form ( should you require accommodation.
#LI-Remote
SENIOR DATA SCIENTIST, GLOBAL DATA SCIENCE
Posted today
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Relocation Assistance Offered Within Country
Job Number # - Mumbai, Maharashtra, India
Who We Are
Colgate-Palmolive Company 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 Colgate-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: Senior Data Scientist, Global Data Science
Brief introduction - Role Summary/Purpose (3-4 sentences max.):
The GLOBAL DATA SCIENCE & ADVANCED ANALYTICS vertical in Colgate 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.
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 Colgate 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 projects
Responsibilities (4-6 bullet points):
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 presentations
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 SQL
Present insights in an easy to interpret way to the business teams
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
Required Qualifications (3-5 bullet points):
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 statistical models and driving insights
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 deployments
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
Preferred Qualifications (3-5 bullet points):
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.
Working knowledge of consumer packaged goods industry
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 to 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
Colgate 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 request form should you require accommodation.
#LI-Remote
Principal Data Scientist/Sr Data Scientist/Data Scientist
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Job DescriptionPrincipal Data Scientist / Sr Data Scientists /Data Scientist / Jr. Data Scientist / Data Science Intern / Machine Learning Engineer-Global Tech AI Health Startup.Joining : Immediately.Global HQ, Benovymed Global Technology Development and Innovation Center & Benovymed Global R and D, and AI Health Innovation Center in Delhi NCR.Job Role Responsibility Description :We are looking for passionate, Strong experience with an entrepreneur mindset to join us as Hardcore Full Stack Data Scientist end-to-end single-handed multi-hat role who is already working in applied AI in ML, deep Learning, ANN, and CNN platform specifically working as single-handed doers or in a small Data Science Team with full end to end ownership of Data Science work commitment delivery as Data Scientist working in any reputed AI Data Science is driven Tech startup preferably in Healthcare.Required Skillsets :- Needs to have statistical, mathematical, and predictive modeling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers.- Need to be able to communicate their findings, orally and visually.- Need to understand how the products are developed and even more important, as big data touches the privacy of consumers, they need to have a set of ethical responsibilities.-- Need to have a natural desire to go beneath the surface of a problem.- Confident and self-secure as they more often than not will have to deal with situations where there is a lot of unknown.- Good knowledge & experience in Artificial Neural Network ( ANN ), AI conversational Chatbot & Needs to be able to write the required Algorithm and coding programming.- Preferably in different programming languages such as Python, Tensor Flow, Keras, AWS (ML and DL), Numpy, and Pytorch.In addition the need to be familiar with disciplines as follows :- Natural Language Processing, Machine learning, Conceptual modeling, Statistical analysis, Predictive Modeling, and Hypothesis testing.Data scientists should have at least some of the following capabilities :- Cleaning data, formatting data, Having the ability to query databases & perform statistical analysis, building AI Data Modelling, validating the AI Model, and deployment.- Being able to develop or program databases.- Having a good understanding of design & architecture principles.Qualification :B.Tech / M.Tech in CSE / Electrical / Electronics & Communication/ Maths & Computing /Statistics /BioTech/BioStat / Clinical Engineering in Data Science / Machine Learning from Top-rated Tech University / Top rated IIT /IIIT.Mandatory Requirement :Experience :- Post last qualification of at least 0 to 7 Years of strong experience exclusive in real Industry Projects in applied AI ML & Deep Learning Data Science in an early-stage AI Health startup at the role and designation as a single-handed full-stack Principal Data Scientist / Sr. Data Scientist.- Hardcore in ANN /Deep Learning /Machine Learning/NLP with at least 2-20 good Applied AI-oriented Applied Research Projects & applications with hardcore experience working on ANN, CNN, RNN, and deep learning in Digital Health startups to solve specific complex problems.CTC :- Best Package in Industry.- Terms & Conditions Apply as per our organization.- To deserving eligible candidates only, the company Equity / ESOP may be given also as a part of a Package for a long-term career opportunity.- Apply with your CV with passport size photo, & current CTC, expected CTC, Notice Period, Project details & cover letter.KeywordsData Science,Data Scientist,Machine Learning,Python,Tensorflow,Numpy,Data Modeling,Artificial Intelligence,NLP,Deep Learning*
Data Scientist/ Sr. Data Scientist
Posted today
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Role & responsibilities:
Delivery of Key Projects:
Successfully deliver advanced analytics and data science projects within predefined timelines and budget constraints.
Collaboration:
Collaborate effectively with data engineers and ML engineers to comprehend data and models, utilizing various advanced analytics capabilities.
Solution Development:
Develop efficient solutions for complex problems, showcasing expertise in data structures like Delta/Parquet, databases, data analytics, Python programming, and statistics.
End-to-End Pipeline Management:
Manage the entire data science pipeline, including problem scoping, data gathering, modeling, insights generation, visualizations, monitoring, and maintenance.
Dashboard Design:
Design dashboards using Python Dash (plotly) or Flask framework for effective data visualization and reporting.
Technological Expertise:
Utilize CI/CD tools, data pipeline technologies, and visualization/data storytelling tools proficiently.
ETL Pipeline Building:
Construct ETL pipelines using Python or Azure Synapse to facilitate efficient data processing and management.
Data Procurement and Management:
Independently procure and process data, ensuring seamless integration within the company's overall data management strategy.
Technology Exploration:
Continuously monitor advancements in artificial intelligence technology and identify applications for problem-solving within the company.
Technical Skills:
- Proficiency in Python and common libraries (Dash, Pandas, Scikit-Learn, Pydantic, TensorFlow).
- Strong Knowledge in Statistics and Probability.
- Set up cloud alerts, monitors, dashboards, and logging systems, and troubleshoot data platform infrastructure as needed.
- Experience in OpenShift/Kubernetes, Azure ML is desirable.
- Proficiency in programming languages: Python (Dash) and database query languages SQL or KQL.
- Good applied statistical skills, including hands-on experience in time series modeling, predictive modeling, distributions, and regression.
- Knowledge of DevOps/MLOps.
- Exceptional analytical and problem-solving skills.
Desired candidate profile :
- Bachelor's or Master's degree in Computer Science or a related technical field, or equivalent experience.
- Total of 6 to 10 years of professional experience.
- Minimum 4 years of experience in data science/machine learning.
- Minimum 3 years of experience with SQL.
- Experience in DevOps, preferably with hands-on experience in one or more cloud service providers, with Azure being preferred.
- If the above has triggered your interest, we are looking forward to receiving your application
** Data Analyst/ Data Engineer profiles are not suitable for this role. Looking for core experience with a Data Scientist role only.
Data Scientist/Senior Data Scientist
Posted today
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It's fun to work in a company where people truly BELIEVE in what they are doing
We're committed to bringing passion and customer focus to the business.
Job Title:
Data Scientist/Senior Data Scientist
Location:
Bangalore/Mumbai/Gurgaon/Chennai/Pune/Noida/Hyderabad
Responsibilities
- Design and implement advanced solutions utilizing Large Language Models (LLMs).
- Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions.
- Conduct research and stay informed about the latest developments in generative AI and LLMs.
- Develop and maintain code libraries, tools, and frameworks to support generative AI development.
- Participate in code reviews and contribute to maintaining high code quality standards.
- Engage in the entire software development lifecycle, from design and testing to deployment and maintenance.
- Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility.
- Possess strong analytical and problem-solving skills.
- Demonstrate excellent communication skills and the ability to work effectively in a team environment.
Primary Skills
- Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation.
AND/OR
- Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis.
Generative AI:
Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities.
Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and huggingface. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization.
Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred.
- Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us
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Data Scientist
Posted today
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IBM CIO Technology Platform Transformation
The IBM CIO Technology Platform Transformation team plays a crucial role in modernizing and optimizing IBM's technology infrastructure and platforms. The team aims to power AI-enabled experiences through AI-first technology platforms that enable and streamline existing processes, enhance security, and improve user experience by leveraging cutting-edge technologies such as artificial intelligence, machine learning, and cloud computing.
As part of IBM's CIO TPT team, we will contribute to transformative projects that redefine enterprise operations using AI. We will directly influence productivity, user experience, and strategic decision-making across IBM.
Some of the key responsibilities of this group include:
* Driving the adoption of emerging technologies to optimize and automate various business functions, keeping an AI-first approach with a digital experience.
* Enable best in class IT with enhanced cybersecurity measures to protect sensitive information and maintain regulatory compliance.
* Modernizing legacy systems and integrating disparate applications to improve interoperability and reduce technical debt.
* Collaborating with other departments and teams to align technology efforts with broader corporate objectives.
* Providing guidance and expertise on technology trends, best practices, and standards.
This team comprises professionals with diverse backgrounds in software engineering, data science, network architecture, and security. By fostering a culture of innovation and continuous improvement, the team strives to achieve its mission of making IBM the most productive company in the world.
**Your role and responsibilities**
Role Overview:
As an AI Engineer/SW Developer, you will be in a unique position to combine your strategic thinking with your technical skills in AI, machine learning, and data analytics. You will apply your skills to help implement data-driven solutions that align with business goals. You will steer enterprise projects that improve decision-making, solve complex problems, and drive business growth. This role involves working with team members and stakeholders to translate data insights into actionable recommendations that deliver meaningful business impact.
Key Responsibilities:
1. Implement AI, Data Science, and Technical Execution:
* Support the design, implementation and optimization of AI-driven strategies per business stakeholder requirements.
* Design and implement machine learning solutions and statistical models, from problem formulation through deployment, to analyze complex datasets and generate actionable insights.
* Apply GenAI, traditional AI, ML, NLP, computer vision, or predictive analytics where applicable.
* Collect, clean, and preprocess structured and unstructured datasets.
* Help refine data-driven methodologies for transformation projects.
* Learn and utilize cloud platforms to ensure the scalability of AI solutions.
* Leverage reusable assets and apply IBM standards for data science and development.
* Apply ML Ops and AI ethics.
2. Strategic Planning & Execution
* Translate business requirements into technical strategies.
* Ensure alignment to stakeholders' strategic direction and tactical needs.
* Apply business acumen to analyze business problems and develop solutions.
* Collaborate with stakeholders and team to prioritize work.
3. Project Management and Delivering Business Outcomes:
* Manage and contribute to various stages of AI and data science projects, from data exploration to model development to solution implementation and deployment.
* Use agile strategies to manage and execute work.
* Monitor project timelines and help resolve technical challenges.
* Design and implement measurement frameworks to benchmark AI solutions, quantifying business impact through KPIs.
4. Communication and Collaboration:
* Communicate regularly and present findings to collaborators and stakeholders, including technical and non-technical audiences.
* Create compelling data visualizations and dashboards.
* Work with data engineers, software developers, and other team members to integrate AI solutions into existing systems.
**Required technical and professional expertise**
Experience:
Hands-on Experience with AI/ML technologies and statistical modelling through coursework, projects, or past internships or full-time positions. Participation in AI/Data-related summits will be an added advantage ( eg. Kaggle/Hackathons)
* Experience with prompt engineering or fine-tuning LLMs.
* Familiarity with tools like Lang Chain, Hugging Face Transformers, or OpenAI APIs.
* Understanding of model evaluation metrics specific to LLMs
Technical Skills:
* Proficiency in SQL and Python for performing data analysis and developing machine learning models.
* Experience and/or coursework in statistics, machine learning, generative and traditional AI.
* Knowledge of common machine learning algorithms and frameworks: linear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks such as TensorFlow and PyTorch.
* Familiarity with cloud-based platforms and data processing frameworks.
* Understanding of large language models (LLMs).
* Familiarity with object-oriented programming.
* Experience and/or coursework with common Python libraries used by data scientists (e.g., NumPy, Pandas, SciPy, scikit-learn, matplotlib, Seaborn, etc.)
* Knowledge of APIs, Docker, Flask, or model serving technologies
* Experience with tools like Jupyter, Git, or cloud platforms (AWS, Azure, IBM Cloud)
Strategic and Analytical Skills:
* Strategic thinking and business acumen.
* Strong problem-solving abilities and eagerness to learn.
* Ability to work with datasets and derive insights.
* Attention to detail.
Communications and Soft Skills:
* Excellent communication skills, with the ability to explain technical concepts clearly.
* Independent and team oriented.
* Understands AI Ethics principles.
* Works openly and inclusively.
* Adaptable to fast-paced environments.
* Enthusiasm for learning and applying new technologies.
* Growth mindset.
* Ability to balance multiple initiatives, prioritize tasks effectively, and meet deadlines in a fast-paced environment.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
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Data Scientist
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Mumbai
Job Description
P&G was founded over 180 years ago as a simple soap and candle company. Today, we're the world's largest consumer goods company and home to iconic, trusted brands that make life a little bit easier in small but significant ways. We've spanned three centuries thanks to three simple ideas: leadership, innovation and citizenship. The insight, innovation and passion of hardworking teams have helped us grow into a global company that is governed responsibly and ethically, that is open and clear, and that supports good causes and protects the environment. This is a place where you can be proud to work and do something that matters.
Dedication from Us:
You will be at core of Ground- breaking innovations, be given exciting opportunities, lead initiatives, and take charge and responsibility, in creative workspaces where new insights thrive. All the while, you'll receive outstanding training to help you become a leader in your field. What we Offer: Continuous mentorship - work with peers and receive both formal training as well as day-to-day mentoring from your manager multifaceted and encouraging work environment- employees are at the centre, we value every individual and support initiative, promoting agility and work/life balance.
Overview of the job
Provides an ideal place to work on ground-breaking upstream improvements related to the manufacturing and processing of our leading products with intelligent, connected technologies driving the 4th industrial revolution. Our aim is to ignite your potential and equip you to enhance the capability, safety, and efficiency of all our systems while reducing cost and boosting sustainability.
Responsible for building advanced analytic (ML/AI/Optimization) algorithms within a Data Science program and working with Business Partners and Friends of Data Science to insert algorithms into business processes and activate them directly with the business.
Your team
This role reports to business Dry Laundry global Platform leader. You will be working with project teams across Engineering, Manufacturing and Quality across the globe.
How success looks like
+ Enabling savings every year on base budget as per the masterplan
+ Delivering touchless digital transformation masterplan and reapplying across the globe.
+ Responsibilities of the role
+ Provides technical leadership in supporting OU innovation projects.
+ Acts as a key enabler in leading and delivering results against challenges.
+ Works with innovation team looking at new platforms, machine control, data processing and analytics. Helps develop capability in others.
+ Develop and plan required analytic projects in response to business needs. Leverage data science tools to tackle the toughest process problems in the region.
+ Develop new analytics/predictive/prescriptive modeling methods and/or tools as required. Propose prescriptive analytic models to build robust and fault-tolerant process control strategies to reduce Operations Effort and improve product quality
+ Work with process/equipment authorities and application developers to identify data relevant for analysis.
+ Supply together with process/equipment owners and ITOT to the development and evolution of data models for analytical capabilities. Own data model and maintenance and development for hub-site
+ Develop and maintain key data pipelines across selected sites globally
+ Contribute to define work processes to deploy and maintain predictive/analytical modeling architectures, modeling standards, alarming and reporting, and data analysis methodologies.
+ Conduct external focus research to drive suggestions on analytical modeling products, services, protocols, and standards that might support and speed-up the smart manufacturing journey.
+ Identify, diagnose, and resolve prognostics model performance issue.
+ Leverage Reliability Engineering improve with data science to develop new solutions to reduce losses.
Job Qualifications
+ Bachelor's in engineering/computer Sci
+ Experience with Machine Learning Techniques
+ Strong communication skills
+ Sufficient business knowledge to understand what data is important, when findings are relevant, and how to exploit data to make decisions. Strong familiarity with data preparation and processing.
+ Strong analytical statistical and mathematical modeling capabilities to form hypothesis and to collect, explore, and extract insights from structure and unstructured data to rationally transform raw data into useful information to improve process/equipment operation and maintenance.
+ Efficient use of software for data visualization, statistical analysis and ML, e.g., Python, R, SAS, Azure ML, Matlab, Power BI, Tableau, and familiarity with functional programming and scripting languages, e.g.: NET, VB, C++, Python, Matlab.
+ Understanding data architecture concepts, i.e., relational database structures, data warehouse, big data management, data queries, etc.
+ Technical understanding of mechatronic systems / first principles (combining principles of process, mechanic, electrical, control and systems engineering)
+ Experience in advance analytics, big data, machine learning.
+ Experience in designing visualization to improve user experience and effective decision making
+ Innovation Approach - Ability to assess business operations and find opportunities, then drive case
+ Experience in data engineering using Azure Data Factory, Databricks, SQL, Knime
+ Experience in Agile project (SCRUM, Kanban) and operate in DevOps, CI/CD environments
+ IT Security & Risk - In touch with modern IT security risks and principles.
+ Validated ability to handle concurrent priorities, strong written and verbal communication skills to influence others and act collaboratively across functions
+ Collaboration attitude with clear technical communication skills to explain data models and data analytic solutions to other technical peers and to leadership teams.
We produce globally recognized brands, and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders can lead with courage the vast array of brands, categories, and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide.
Visit to know more.
We are an equal-opportunity employer and value diversity at our company. We do not discriminate against individuals based on race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, HIV/AIDS status, or any other legally protected factor.
"At P&G, the hiring journey is personalized every step of the way, thereby ensuring equal opportunities for all, with a strong foundation of Ethics & Corporate Responsibility guiding everything we do.
All the available job opportunities are posted either on our website - pgcareers.com, or on our official social media pages, for the convenience of prospective candidates, and do not require them to pay any kind of fees towards their application."
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Entry Level
Data Scientist
Posted 1 day ago
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Job Description
Date: Sep 25, 2025
Req ID:
Location:
Pune, MH, IN
Workplace Type: Hybrid/Remote
Do you want to help solve the world's most pressing challenges? Feeding the world's growing population and slowing climate change are two of the world's greatest challenges. AGCO is a part of the solution! Join us to make your contribution.
AGCO is looking to hire candidates for the position of **Data Scientist**
**Your Impact**
+ Data Management and Analysis: Extract, clean, and analyze large datasets from diverse sources, including telemetry data, test fleet data, and test bench data, to support engineering and AI applications in the agricultural machinery domain.
+ Insight Generation: Identify patterns, trends, and correlations in data to derive actionable insights that inform product development, parts design, specifications, and operational decisions.
+ Cross-Functional Collaboration: Work closely with cross-functional teams to drive data-driven decision-making and foster innovative solutions that enhance engineering efficiency, improve product quality, and enable the development of new, data-driven solutions for product usage.
+ Model Development and Refinement: Continuously develop, evaluate, and refine analytical models and methods to ensure their accuracy, scalability, and relevance to business needs.
+ Machine Learning Applications: Develop machine learning models to predict maintenance needs, optimize machine settings, analyze customer usage patterns, and enhance overall product performance.
**Your Experience and Qualifications**
+ 3+ years of experience working with structured data, including cleaning, manipulating, and data mining. Experience with unstructured data is a plus.
+ Proven experience with at least two of the following: statistical models, machine learning, deep learning (preferably time series or large language models for NLP, topic modeling, or conversational AI). Familiarity with model setup, fine-tuning, evaluation, and deployment.
+ Strong proficiency in Python, SQL, PySpark, and common frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Familiarity with R is a plus.
+ Experience with cloud-based tools like Apache Spark, Databricks, AWS Glue, and Amazon SageMaker.
+ Strong data visualization skills and experience with BI tools (e.g., Dash, Tableau, Shiny).
**Your Benefits**
+ GLOBAL DIVERSITY - Diversity means many things to us, different brands, cultures, nationalities, genders, generations - even variety in our roles. You make us unique!
+ ENTERPRISING SPIRIT- Every role adds value. We're committed to helping you develop and grow to realize your potential.
+ POSITIVE IMPACT - Make it personal and help us feed the world.
+ INNOVATIVE TECHNOLOGIES - You can combine your love for technology with manufacturing excellence - and work alongside teams of people worldwide who share your enthusiasm.
+ MAKE THE MOST OF YOU - Benefits include health care and wellness plans and flexible and virtual work options.
**Your Workplace**
We value inclusion and recognize the innovation a diverse workforce delivers to our farmers. Through our recruitment efforts, we are committed to building a team that includes a variety of experiences, backgrounds, cultures and perspectives.
**Join us as we bring agriculture into the future and apply now!**
Please note that this job posting is not designed to cover or contain a comprehensive listing of all required activities, duties, responsibilities, or benefits and may change at any time with or without notice.
**AGCO is proud to be an Equal Opportunity Employer.**
**Job Segment:** Agronomy, Data Mining, Database, SQL, Scientist, Agriculture, Technology, Science