Exciting Career Opportunity: Junior Data Scientist at Nestle in 2025!

Are you ready to take your career to the next level in the dynamic world of data science? Nestle, a global leader in the food and beverage industry, is looking for passionate individuals to join their team as Junior Data Scientists in Gurgaon, India. This is an exceptional opportunity for those who hold a Bachelor’s degree in Mathematics, Engineering, Computer Science, or Data Science and are eager to apply their skills in a real-world setting. With a focus on demand planning and model development, this position offers a chance to work with cutting-edge technologies like Python, Azure resources, Snowflake, and Databricks. Nestle is committed to fostering a collaborative environment where innovative ideas are encouraged and professional growth is supported. If you are looking for a role that combines analytical skills with practical application, this could be the perfect fit for you!

Key Job Details

• Company: Nestle
• Position: Junior Data Scientist
• Location: Gurgaon, India
• Employment Type: Full Time
• Education Requirement: Bachelor’s degree in Mathematics, Engineering, Computer Science or Data Science
• Experience: Minimum 2+ years in demand plan modelling, Python/PySpark, Azure, Snowflake, and Databricks
• Salary: As per Company Standards
• Date Posted: December 24, 2025

About the Role

The Junior Data Scientist role at Nestle is a pivotal position within the Data Science job family, focusing on enhancing demand forecasting accuracy through sophisticated modeling techniques. As a Junior Data Scientist, you will be responsible for developing and sustaining models that generate precise demand forecasts, which are crucial for the company’s operations and strategic planning. Your role will involve close collaboration with demand analysts and planners to incorporate insights that can improve model performance. You will also monitor the effectiveness of the models you create, adjusting them as necessary to optimize productivity and output accuracy. Furthermore, you will participate in back-testing activities to validate the forecasting tools. This role is not only about technical skills; it’s about being an integral part of a team that drives business success through data-informed decision-making.

Required Skills

• Demand Plan Modelling: You should possess over 2 years of experience in demand plan modelling using statistical and machine learning techniques.
• Programming Proficiency: A solid foundation in Python and PySpark is necessary for developing and implementing data solutions.
• Cloud Technologies: Familiarity with Azure resources, Snowflake, and Databricks is essential for managing data and running analytics in a cloud environment.
• Analytical Thinking: Strong problem-solving skills and the ability to interpret complex data sets will be crucial in this role.
• Collaboration: Excellent communication skills to work effectively with demand planners and analysts are vital for success.

Responsibilities

• Develop and maintain models/tools for accurate demand forecasting.
• Monitor and enhance model performance in terms of productivity and accuracy.
• Collaborate with demand planners and analysts to integrate insights into forecasting models.
• Design and implement continuous improvement actions for forecasting tools.
• Support back-testing activities to ensure the reliability of the forecasting tools.
• Partner with demand teams to gather inputs that enhance forecast accuracy.

Why Join Nestle

Nestle is not just a company; it’s a community that values innovation, collaboration, and personal growth. By joining Nestle, you will be part of a culture that encourages continuous learning and professional development. The company offers competitive salaries and benefits, including health and wellness programs, which reflect their commitment to employee well-being. At Nestle, you will have the chance to work with some of the brightest minds in the industry, providing you with invaluable experience and opportunities for advancement. Nestle also embraces diversity and inclusion, ensuring that all employees feel valued and respected.

Industry Trends

The demand for data scientists is rapidly increasing as businesses recognize the importance of data-driven decision-making. According to recent reports, data science roles are among the fastest-growing jobs, with a significant rise in demand for professionals skilled in machine learning and statistical analysis. In 2025, the need for data scientists, particularly in sectors like food and beverage, will be more crucial than ever, making this position at Nestle not only relevant but also highly valuable. As companies seek to enhance their operational efficiency and customer satisfaction through accurate demand forecasting, the role of a Junior Data Scientist will be key in shaping the future of business strategies.

How to Apply

If you’re ready to embark on an exciting journey with Nestle as a Junior Data Scientist, don’t wait! Experience the thrill of working with a global leader in the food industry and make a significant impact through your analytical skills.

Apply Here