Junior Data Scientist - GPO

Mettler-Toledo International, Inc; Mumbai; On-site; INR 1,200,000 - 2,400,000; Full time

Benefits offered by this job

Medical insurance for you & yourFamily

Global team exposure

Open, fair and inclusive environment

Learning and growth opportunities

Telemedicine access

Job summary

METTLER TOLEDO is seeking a Data Scientist for Global Pricing based in Mumbai to drive analytics, predictive models, and pricing insights. You will work with large datasets, build ML models, and collaborate with global teams to improve revenue and profitability.

The role requires strong Python, SQL, and visualization skills, experience in pricing analytics, and a passion for turning data into business outcomes.

Qualifications

• Bachelor's degree in a quantitative field with strong analytical foundation.
• 1-3 years in Data Science, Analytics or Pricing Analytics.
• Experience handling large structured/unstructured data with SQL/Python/R.
• Strong Python and data-science libraries (Pandas, NumPy, Scikit-learn).
• Knowledge of statistical modeling, ML, and model evaluation techniques.
• Experience with data wrangling, feature engineering and NLP basics.
• Familiarity with Power BI/Tableau and cloud analytics platforms is a plus.
• Understanding of pricing, revenue analytics and profitability drivers.

Responsibilities

• Support Global Pricing to optimize performance across products and geographies.
• Analyze data practices and improve efficiency, accuracy and flexibility.
• Develop and optimize predictive analytics and ML models.
• Collaborate with data specialists to harmonize best practices.
• Mentor Global Pricing members on modern data methods.
• Able to demonstrate measurable, quantifiable results.

Skills

Python

SQL

ML

Data Viz

NLP

Pricing Analytics

Big Data

Cloud Platforms

Education

Bachelor's degree

Master's preferred

Tools

Power BI

Tableau

Python

Azure

Databricks

Snowflake

AWS

Job description

About Mettler Toledo

METTLER TOLEDO is a global leader in precision instruments and services. We are renowned for innovation and quality across laboratory, process analytics, industrial, product inspection, and retailing applications. Our sales and service network is one of the most extensive in the industry. Our products are sold in more than 140 countries, and we have a direct presence in approximately 40 countries. For more information, please visit www.mt.com.

Our Opening and Your Responsibilities

Essential Duties and Responsibilities

• Support the Global Pricing team in their mandate to understand and optimize commercial performance across all products, services, and geographies
• Inventory, then assess, internal data practices and tools used by the group with the intention of improving: efficiency (doing more in less time), accuracy (higher confidence results), and flexibility (leverage existing data assets more fully to drive more business insights to internal stakeholders).
• Develop new, and optimize existing, predictive analytics and machine learning models.
• Interact with other data specialists across the company in different functions to harmonize best practices and gain access to larger pool of available data.
• Mentor and train members of Global Pricing in current "state of the art" data practices and techniques.
• Be able, willing, and eager to show quantifiable results.
• Other duties may be assigned.

What You Need to Succeed

Education, Experience & Skills

• Bachelor's degree required (master's preferred) in Data Science, Statistics, Mathematics, Economics, Computer Science, Engineering, Finance, Operations Research, or a related quantitative discipline.
• 1-3 years of experience in Data Science, Analytics, Pricing Analytics, Business Analytics, or a related field.
• Experience working with large structured and unstructured datasets using SQL, Python, R, or similar analytical tools.
• Strong proficiency in Python and common data science libraries (Pandas, NumPy, Scikit-learn).
• Knowledge of statistical analysis, predictive modeling, machine learning, and model evaluation techniques.
• Experience with data preparation, cleansing, transformation, and feature engineering.
• Familiarity with Natural Language Processing (NLP), Generative AI, Deep Learning, or Large Language Models is preferred.
• Experience building dashboards and visualizations using Power BI, Tableau, or similar tools.
• Understanding of pricing, sales, commercial performance, revenue management, or profitability analytics is preferred.
• Exposure to cloud analytics platforms such as Azure, Databricks, Snowflake, AWS, or GCP is a plus.
• Strong analytical and problem-solving skills with the ability to translate business challenges into data-driven solutions.
• Business acumen with an understanding of how analytics and pricing decisions impact revenue, profitability, and customer outcomes.
• Excellent communication and stakeholder-management skills with the ability to present findings to both technical and business audiences

Our Offer to You

• "One Team" that thrives on collaboration and innovation.
• Opportunities to work with Global teams.
• An open, fair and inclusive environment
• Multitude of learning and growth opportunities
• Medical insurance for you & your family, with access to Telemedicine application
• A brand name that is identified worldwide with precision, quality, and innovation.

Equal Opportunity Employment

We promote equal opportunity worldwide and value diversity in our teams in terms of business background, area of expertise, gender and ethnicity. For more information on our commitment to Sustainability, Diversity and Equal Opportunity please visit us [1] here.

References

Visible links

1. https://www.mt.com/us/en/home/microsites/sustainability/reporting.html