McCormick & Company is hiring for a fresher entry level Associate Data Scientist role in India

Position:

• Associate Data Scientist

Company:

• McCormick & Company, Incorporated

Location:

• Gurgaon, Haryana, India

Job type:

• Full-time

Job mode:

• Onsite (Office environment designation)

Job requisition id:

• Not explicitly provided, internal requisition ID to be confirmed

Years of experience:

• 0 to 3 years (Entry level, Bachelor’s degree with demonstrated knowledge is acceptable)

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Company Description

• McCormick & Company is a world-renowned leader in flavor innovation and distribution, serving as one of the most trusted names in the food and beverage industry.

• Established in 1889 by Willoughby McCormick in Baltimore, Maryland, the company has grown from a modest start with only three employees into a global enterprise operating across multiple continents.

• McCormick’s product line spans spices, herbs, seasoning mixes, condiments, and flavor solutions designed for retail customers, foodservice businesses, and industrial food manufacturers.

• With over 14,000 employees worldwide and annual sales exceeding 6 billion USD, the company has built an expansive network serving more than 170 markets through 60 operating facilities in 25 countries.

• McCormick has always placed strong emphasis on ethical business practices, sustainability, and innovation. Its “Power of People” principle has been the cornerstone of its culture, ensuring that respect, recognition, inclusion, and collaboration are deeply embedded in the workplace.

• The company is not only a flavor powerhouse but also a trusted partner to farmers, suppliers, and distributors globally, sourcing raw materials responsibly from more than 80 countries.

• Its rich history, focus on integrity, and reputation for quality products have positioned McCormick as an industry leader competing with major food companies while consistently maintaining consumer trust.

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Profile Overview

• The Associate Data Scientist role at McCormick is designed for individuals who are eager to apply data-driven insights to real-world business challenges.

• This entry-level position emphasizes the importance of combining technical expertise in data science with strong business acumen, enabling successful candidates to bridge the gap between analytical outputs and actionable strategies.

• Professionals in this role will work closely with both global leaders and regional functional teams, supporting McCormick’s digital transformation initiatives. They will be expected to enhance existing data pipelines, integrate AI solutions, and apply machine learning models to drive innovation.

• The position demands versatility, adaptability, and a willingness to learn. A candidate should be comfortable handling raw data, designing workflows, and employing advanced algorithms for predictive modeling, data transformation, and visualization.

• Communication skills are critical. The Associate Data Scientist will be required to convey technical findings in a way that business leaders can easily understand, making their work directly influential in decision-making processes.

• This opportunity also allows exposure to a wide range of tools, including Python, R, Tableau, Azure, and SAP. It provides the chance to strengthen both technical depth and industry knowledge in areas such as supply chain, analytics, and business process optimization.

• Above all, the role is intended for motivated individuals who thrive on problem-solving and who see themselves as contributors to McCormick’s broader mission of enhancing everyday meals and experiences through flavor.

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Key Responsibilities

• Translate raw data and complex analytics into actionable business insights, ensuring decision-makers across regions and functions have access to relevant and meaningful information.

• Design workflows that incorporate AI and machine learning, producing models that solve operational challenges and add measurable value to the business.

• Enhance data collection frameworks by adding automation, reducing manual intervention, and ensuring that all relevant business data points are captured effectively.

• Build sophisticated workflows that integrate advanced technologies such as Optical Character Recognition (OCR), Translation Models, and Generative AI, enabling the extraction and transformation of unstructured data into formats aligned with organizational needs.

• Identify, process, and cleanse diverse datasets while verifying their accuracy, consistency, and integrity for reliable analysis.

• Collaborate across global and regional teams, contributing to initiatives that require cross-functional coordination, strong project planning, and adherence to deadlines.

• Continuously update and improve skills by staying current with industry best practices, emerging technologies, and advanced data science techniques.

• Support McCormick’s broader digital transformation efforts by actively contributing innovative ideas and ensuring that data-driven strategies align with organizational goals.

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Secondary Responsibilities

• Demonstrate project management capabilities, including planning, scheduling, resource allocation, and monitoring progress, to ensure timely delivery of business outcomes.

• Contribute to the development of best practices in data analytics at McCormick, playing a role in shaping the company’s digital journey and analytical maturity.

• Support innovation by proactively identifying opportunities where data science can create measurable improvements in efficiency, accuracy, and overall business performance.

• Participate in training programs, workshops, and collaborative initiatives to strengthen personal technical skills while also enabling team growth.

• Provide constructive feedback and knowledge-sharing within teams, promoting collaboration and building a learning-focused work environment.

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Qualifications

• Bachelor’s degree in fields such as Mathematics, Statistics, Engineering, Data Analytics, or Data Science.

• Strong analytical ability demonstrated through cleaning, processing, and visualizing large datasets.

• Ability to transform complex data outputs into simple, practical business recommendations.

• Understanding of supply chain concepts, including principles, workflows, and operational challenges.

• Hands-on coding experience in languages such as Python or R, with a preference for candidates who have built scripts or automation pipelines.

• Proficiency with visualization tools such as Tableau to communicate insights in a visually engaging and understandable manner.

• Demonstrated ability to construct statistical models, apply regression techniques, and explore clustering and classification methods.

• Experience handling multiple simultaneous tasks, managing time efficiently, and balancing competing priorities.

• Strong familiarity with Microsoft Office applications such as Excel, PowerPoint, and Access, used for reporting, presentation, and day-to-day data management.

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Preferred Qualifications

• Exposure to cloud platforms, particularly Microsoft Azure, with practical experience in deploying analytics solutions.

• Familiarity with ERP systems such as SAP, especially in relation to data integration and business operations.

• Technical background in data environments, data transformation, and machine learning operations (MLOps).

• Knowledge of backend development concepts to better support data-driven applications and integrations.

• Practical experience in training machine learning models and optimizing them for performance and scalability.

• A proven ability to connect complex analytical outputs directly with business objectives, ensuring that models support tangible outcomes.

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Additional Info

• Work environment is designated as Office-based, offering a structured professional setting with opportunities for cross-departmental collaboration.

• McCormick maintains an inclusive workplace culture, actively promoting diversity and equal opportunity. All applicants are evaluated without bias toward gender, identity, orientation, race, religion, disability, veteran status, or other protected categories.

• Employees are encouraged to view themselves as contributors to a larger mission, beyond individual responsibilities, enabling them to directly influence company direction and success.

• With a strong focus on career growth, employees at McCormick have access to professional development resources, recognition programs, and opportunities to collaborate on impactful global projects.

• The organization emphasizes respect, ethics, and integrity, making it an attractive environment for individuals who value responsibility and fairness in their professional journey.

• McCormick’s heritage, competitive benefits, and culture of inclusivity offer compelling reasons to join the organization. New employees can expect to feel empowered to innovate, contribute ideas, and advance both personally and professionally.

Please click here to apply.