P&G Off Campus Hiring: The Data Scientist job is available in Procter & Gamble (P&G) in Mumbai, India, under the Information Technology category. This job offers the chance to make use of analytics, data science and machine learning to tackle challenging business issues in one of the largest consumer goods companies. Individuals who are passionate about merging technological innovation and the business impact are a perfect choice for this job.
About the Company
Created over 180 years ago, Procter & Gamble has transformed from a small candle and soap manufacturer to become the biggest company in consumer products in the world. Procter & Gamble’s products are now indispensable items used in many homes due to their reliability and quality. With a focus on leadership, innovation, as well as sustainability, Procter & Gamble continues to change the way consumers experience their products by advancing technology along with ethical business management.
Overview
- Job Type: Full-Time
- Location: Mumbai, Maharashtra, India
- Category: Information Technology
- Job ID: R000137873
Job Responsibilities
Data Scientist’s job is essential in bringing creativity and efficiency across the entire global operation. Principal responsibilities include:
- Helping with technical guidance to assist Operational Unit innovation projects.
- As a catalyst for innovation through the creation of quantitative models.
- The implementation of predictive, descriptive and diagnostic models to increase control over processes and the quality that the final product.
- Teams of multi-functionality to identify the way to organize and collect valuable insights from large-scale data sets.
- The creation of data pipelines and the maintenance of models for analysis to improve decision-making for manufacturing and operational processes.
- In close collaboration, working closely with Process experts and IT/OT partners to develop and enhance modular models of data and architectural designs.
- Helping to develop most effective practices in modeling management and the governance of data.
- Researching outside the company to find new ways of designing, technology and standards that enable the development of intelligent production.
- Optimising the data-driven reliability of equipment and operational efficiency by using the most modern engineering techniques to ensure reliability.
- Fixing and repairing issues using predictive models and machine learning models so that they can solve problems. Algorithms to ensure that they are constantly improving.
Amazon Big Hiring Drive – Device Associate II Role
Required Qualifications and Skills
To get considered for the Data Scientist job, applicants must satisfy the following conditions:
- A bachelor’s degree is required in Engineering, Computer Science, or a discipline that is closely related to it.
- Expertise in using Machine Learning, Big Data and predictive Analytics.
- Expertise in analytical, statistical and mathematical modelling.
- A knowledge of the data structure, which includes data warehouses, relational databases, and the large concept of managing data.
- Experience in visualisation and data science tools such as Python, R, SAS, Tableau, Power BI, Azure ML, MATLAB and SQL.
- An understanding of functional programming languages, like C++, .NET or VB.
- Explore hands-on using Azure Data Factory, Databricks or KNIME to create Data Engineering workflows.
- Knowledge of Agile methodologies (SCRUM, Kanban) and DevOps/CICD environments.
- Be aware of the newest IT security standards, in addition to methods for managing risk.
- Knowledge of technical aspects of mechatronic gadgets that incorporate electrical, mechanical and control principles.
- Effective collaboration and communication skills are required to facilitate collaboration between disciplines.
- It is the ability to translate knowledge of the analysis into concrete commercial decisions.
How to Apply
Applications can be submitted through on the P&G Careers portal by referencing the job ID R000137873. People who are committed to driving digital transformation through analytics should apply to join an organisation dedicated to innovation, excellence, and lasting outcomes.