Linde Group is hiring for a fresher entry level Data Scientist in India

Position:

• Data Scientist for AI Products (Global)

Company:

• Linde Group

Location:

• Bangalore, Karnataka, India

Job type:

• Regular / Permanent / Full-Time Employment (FTE)

• Long-term opportunity with stable employment terms

Job mode:

• On-site role requiring physical presence in the Bangalore office

Job requisition id:

• req23348

Years of experience:

• Not explicitly mentioned

• However, preference given to professionals with relevant hands-on experience in data science, machine learning, and engineering environments

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Company Description:

• Praxair India Private Limited, a part of the global Linde group, is a well-recognized industrial gases and engineering company that operates in over 100 countries across the globe.

• With a strong emphasis on innovation and sustainability, Linde and its subsidiary Praxair are committed to making a real impact in the industrial sector by offering high-quality technology solutions and services.

• On April 1st, 2020, Praxair India merged its operational management with Linde India Limited to form LSAS Services Private Limited. This joint venture aims to streamline and optimize operations and management services across the two entities while continuing to operate as separate companies.

• The company remains focused on driving innovation in the fields of energy efficiency, emissions reduction, and process development, contributing significantly to a sustainable future.

• Praxair’s industrial solutions cater to multiple end markets, including chemicals and refining, electronics, primary metals, manufacturing, food and beverage, and healthcare, ensuring a diversified impact across industries.

• The values of corporate responsibility, innovation, and sustainability are deeply embedded in the company’s culture, making it a future-ready and ethically grounded place to work.

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Profile Overview:

• This role involves being a key contributor to the Artificial Intelligence division at Linde, which is the global corporate unit responsible for AI-driven innovation and transformation across different geographies and functions.

• The Data Scientist will work with real-world challenges, identifying business needs and building advanced AI products that impact multiple functions within Linde’s global operations.

• The selected candidate will closely collaborate with a diverse team composed of project managers, data scientists, software developers, and data engineers from Linde’s corporate AI division and other supporting departments.

• The job is a blend of technical development and business application, where the professional is expected to not just work on algorithms and models, but also partner with business units to ensure meaningful implementation and impact.

• The role demands active involvement in scaling existing AI products to new locations and replicating successful solutions in other operational systems.

• You'll also contribute to designing architecture for future AI tools, ensuring scalability and adaptability of solutions within various business contexts across Linde’s operations.

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Responsibilities:

Working with Data:

• Handle a wide variety of structured and unstructured data types from multiple sources

• Apply rigorous preprocessing techniques including feature selection, cleaning, and transformation

• Identify relevant business questions and interpret data insights for informed decision-making

AI Product Development:

• Build and maintain scalable machine learning and deep learning-based software solutions

• Use statistical methods and advanced algorithms to develop predictive and prescriptive models

• Ensure AI models are reproducible, robust, and ready for deployment in different operational settings

Deployment and Expansion:

• Support the replication and scaling of existing AI models across various business domains and geographies

• Assist with data pipeline integration and automation to ensure seamless scalability of developed tools

• Collaborate on continuous improvement cycles for AI product upgrades and refinement

Architectural Planning:

• Work with engineering teams to define technical requirements and build model-ready data pipelines

• Propose and implement design improvements for existing AI architectures to improve performance and accuracy

• Offer expert inputs for new tool development and product architecture aligned with business goals

Cross-functional Collaboration:

• Engage with internal stakeholders to discover AI opportunities within operational areas

• Translate complex technical outcomes into actionable strategies for non-technical business users

• Work across different time zones and teams to enable global deployment and consistent functionality of AI products

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Qualifications:

Educational Background:

• Bachelor’s or Master’s degree in Data Science, Computational Mathematics, Computer Science, Operations Research, or related fields

Core Competencies:

• Strong theoretical foundation in statistics, machine learning, and probability theory

• Demonstrated capability to develop data-driven models that solve real-world problems

• Experience in analyzing large datasets and generating actionable insights

Technical Proficiency:

• Proficient in Python and libraries like pandas, numpy, seaborn, matplotlib, sklearn, tensorflow, keras, pytorch, and statsmodels

• Able to work with large datasets and use SQL effectively for data extraction and manipulation

• Familiar with best practices in model training, validation, and performance measurement

Additional Skills:

• Working knowledge of data visualization tools such as Tableau and Power BI

• Understanding of data architecture and practical experience in building scalable data pipelines

• Competent in integrating ML models into production systems using best software engineering practices

Preferred Experience:

• Past experience in engineering or technology domains is highly valued

• Exposure to tools like MLflow, Kedro, or Apache Airflow is beneficial

• Familiarity with DevOps tools and cloud platforms like Microsoft Azure, especially Azure ML

Communication & Soft Skills:

• Excellent communication and interpersonal skills for cross-functional coordination

• Strong problem-solving mindset with a solution-oriented approach

• Capable of independently managing a project from concept to execution

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Additional Info:

• This is a role with global outreach and direct business relevance, aimed at creating real impact through AI-based tools

• You will be part of a forward-thinking team that embraces creativity, agility, and innovation while solving business challenges

• The environment is highly collaborative, offering exposure to global markets, diverse functions, and evolving technologies

• English fluency is essential due to the multinational nature of the work and the team’s geographical spread

• The company fosters a work culture that supports diversity, inclusion, and equal opportunity employment

• Applications from individuals across all gender identities and backgrounds are encouraged

• Employees are offered development opportunities through hands-on projects, mentoring, and internal mobility

• The selected candidate will benefit from working in a structured yet innovative environment, backed by Linde’s global resources and technology leadership

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