📋 Job Details at a Glance 📍 Location New Delhi, Delhi, India 🏢 Company Topsoe 👥 Experience 0-2 years 🎓 Qualification Master's degree in Computer Science, Applied Mathematics, Chemical/Process Engineering, Software Engineering or a related discipline 📅 Eligible Batch 2022, 2023, 2024, 2025 📄 Job Type Full Time 💰 Salary ₹12–₹20 LPA 🏢 Industry Technology 🛠 Key Skills Python Clearview Spark Databricks Docker Kubernetes SQL NoSQL Data Scientist – Operations at Topsoe — Full Details & How to Apply Topsoe is seeking a Data Scientist – Operations in New Delhi, Delhi, India , offering a competitive salary range of ₹12–₹20 LPA . This role focuses on developing Python -based operational solutions and maintaining application codebases, making it a pivotal position for those looking to enhance their career in data science. The role of a Data Scientist – Operations is increasingly vital in the technology sector as companies strive to optimize their operations through data-driven insights. With the rise of digital products like Topsoe 's Clearview, the demand for skilled professionals who can automate processes and troubleshoot production issues is at an all-time high. Topsoe is a leader in operational data science solutions, emphasizing innovation and efficiency. The company’s commitment to enhancing production efficiency through data science makes it an attractive employer for aspiring data scientists. Joining Topsoe means being part of a forward-thinking team that values technical expertise and problem-solving skills. This role is ideal for candidates who are 2022, 2023, 2024, 2025 graduates with a Master's degree in Computer Science, Applied Mathematics, Chemical/Process Engineering, Software Engineering or a related discipline and 0-2 years experience . With a competitive salary of ₹12–₹20 LPA , this position offers a solid foundation for your career. As a Data Scientist – Operations , you will gain hands-on experience with technologies such as Python , Spark , and Docker . This role not only enhances your technical skills but also opens doors to advanced positions in data engineering and analytics, setting the stage for future career growth. 📊 Role Difficulty: Low | Competition Level: Medium | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The core mission of the Data Scientist – Operations at Topsoe is to leverage data-driven insights to enhance operational efficiency and support business processes through innovative solutions. Develop and optimize Python -based operational solutions to enhance business processes, ensuring high performance and reliability. Utilize Spark and Databricks for data engineering tasks, streamlining operational support and improving data accessibility. Collaborate with engineers and business stakeholders to define and validate telemetry and data requirements, ensuring alignment with operational goals. Automate manual and Excel -driven business processes using Python , significantly improving efficiency and reducing errors. Own and maintain the application codebase, ensuring its reliability and performance through regular updates and testing. Improve documentation and operational processes to enhance customer support, utilizing Clearview for effective communication. Troubleshoot and prevent production-system issues, ensuring smooth operations and minimal downtime. This role fosters an ownership culture, allowing you to make a direct impact on operational success and efficiency at Topsoe . Required Skills & Technical Competencies The ideal candidate for the Data Scientist – Operations role will possess a strong technical skill set tailored to operational data challenges. Technical Skills Python — entry — essential for developing operational solutions and automating business processes. Clearview — entry — used for operational support and maintaining digital products effectively. SQL — entry — important for managing and querying data within operational systems. Docker — entry — critical for deploying applications in a cloud environment, ensuring scalability. Kubernetes — entry — utilized for managing containerized applications, enhancing deployment efficiency. Spark — entry — leveraged for data engineering tasks, facilitating efficient data processing. Databricks — entry — used for collaborative data analytics and operational support. When showcasing these technical skills in your resume or interview, emphasize your hands-on experience and specific projects that demonstrate your proficiency. Eligibility Criteria This role is designed for recent graduates with a strong academic background in relevant fields, eager to start their careers in data science. A Master's degree in Computer Science , Applied Mathematics , Chemical/Process Engineering , Software Engineering , or a related discipline is required. Eligible batches include 2022 , 2023 , 2024 , and 2025 . Experience requirement is 0-2 years , explicitly accepting freshers. Academic performance requirements are not specified in the job posting. Projects, GitHub, internships, certifications, or portfolio experience are not specified in the job posting. Documentation & Portfolio Requirements Ensure your resume is clear and concise, highlighting relevant education and skills. Include any projects or experiences that demonstrate your technical competencies. Pro tip: Tailor your application to emphasize your experience with Python and data engineering tools, as these are critical for the role. Salary for Data Scientist – Operations at Topsoe 💰 Compensation ₹12–₹20 LPA The advertised compensation for the Data Scientist – Operations role at Topsoe is ₹12–₹20 LPA . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for Data Scientist – Operations Upskilling with the right resources significantly enhances your chances of selection for this specific role by aligning your skills with job requirements. Recommended Courses & Resources Python — Essential for data manipulation and analysis in this role. Clearview — Useful for data visualization and insights generation. Docker — Important for containerization and deployment of applications. Kubernetes — Key for managing containerized applications effectively. KodNest — Helps in mastering data engineering concepts and practices. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without demonstrating proficiency in Python — ensure to include specific examples. ❌ Using a generic resume — tailor it to align with the specific responsibilities in the job description. ❌ Listing technologies like Docker or Kubernetes — without detailing where they were applied in past experiences. ❌ Ignoring the qualification and experience requirements — specified in the posting. ❌ Adding unrelated technologies or unsupported claims — just to increase ATS keywords. ❌ Submitting an application without verifying the official Apply URL — and job details. Before You Apply — Checklist ✅ Confirm the job title, company, location, work mode, and experience requirement. ✅ Check that the candidate meets the supplied qualification criteria. ✅ Verify eligibility against the supplied eligible batches and experience requirement. ✅ Add relevant supplied JD keywords naturally to the resume. ✅ Highlight projects or experience related to the supplied technologies and responsibilities. ✅ Remove unsupported technologies, achievements, or experience claims. ✅ Open and verify the supplied Apply URL before submitting the application. ✅ Save the job details, application date, and role-specific resume version for tracking. Resume Tailoring & ATS Keywords for Data Scientist – Operations Optimizing your resume for ATS is crucial for ensuring it gets noticed for this role. ATS Keywords to Include Data Scientist Python Clearview Spark Databricks Docker Kubernetes SQL NoSQL ETL Operational Troubleshooting Data Engineering Resume Tips for This Role Highlight your proficiency in Python , as it is a key requirement for the role. Emphasize experience with tools like Spark and Databricks , as they are critical for the responsibilities outlined. Showcase a project that involved automating business processes or data engineering tasks. Use exact relevant JD keywords naturally in your resume to align with ATS requirements. Avoid adding unsupported technologies or experiences that cannot be substantiated. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Do not include unrelated experiences or technologies that do not pertain to the role of Data Scientist – Operations. How to Apply for Data Scientist – Operations at Topsoe Search Similar Jobs on NexisGrow Open the supplied official Apply URL and confirm the job title and company. Prepare a resume aligned with the supplied skills, responsibilities, qualification, and experience requirement. Complete the official application form accurately and avoid unsupported claims. Submit the application and save the confirmation or application reference if the portal provides one. Record the application date and monitor the official company portal or registered email for updates. Applications reviewed on rolling basis — early submission recommended. Search Similar Jobs on NexisGrow NexisGrow.com does not charge any fees for job applications. Topsoe Topsoe , founded in 1940 , is headquartered in New Delhi, Delhi, India . With a global presence in over 30 countries , the company employs approximately 1,500 professionals dedicated to advancing technology solutions. Its operations span various sectors, including energy, chemicals, and environmental solutions, showcasing a robust international footprint. The core offerings of Topsoe include its innovative Clearview digital product, which enhances data-driven decision-making. Additionally, the company specializes in operational solutions that leverage advanced technologies such as Python , SQL , and NoSQL . These products are designed to optimize processes and improve efficiency across various industries. Topsoe fosters a collaborative culture that emphasizes continuous learning and development. The company has received accolades for its employee programs, including recognition for its commitment to diversity and inclusion. Initiatives such as mentorship programs and training workshops contribute to a supportive work environment that encourages professional growth. Recently, Topsoe has focused on expanding its technological capabilities, particularly in the areas of Databricks and Kubernetes . This strategic initiative aims to enhance operational efficiency and data analytics capabilities, positioning the company for future growth. Such advancements reflect Topsoe 's commitment to staying at the forefront of technology. For freshers in technology, Topsoe offers a unique career launchpad. The opportunity to work with cutting-edge technologies like Docker and Spark provides invaluable experience. Additionally, the collaborative environment allows new employees to engage with seasoned professionals, fostering skill development and career advancement. Company Details Industry Technology Location New Delhi, Delhi, India Connect With Us Careers Apply Now Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Data Scientist – Operations at Topsoe? Eligibility Tap to expand + Answer Candidates with Master's degree in Computer Science, Applied Mathematics, Chemical/Process Engineering, Software Engineering or a related discipline and 0-2 years experience are eligible. Eligible batches: 2022, 2023, 2024, 2025. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Python, Clearview, Spark, Databricks, Docker. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹12–₹20 LPA. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Topsoe? Interview Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role? Growth Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply? Application Tap to expand + Answer Apply via the company's official careers page. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Data Scientist – Operations interview? Preparation Tap to expand + Answer (1) Core concepts of Python, Clearview, Spark, Databricks, Docker, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Topsoe research, (5) Clear communication. ? What is the work culture like at Topsoe? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. NexisGrow.com features only verified employers. 🔗 Explore More on NexisGrow More jobs in New Delhi Browse all Tech jobs More jobs at Topsoe Work From Home jobs Ready to Apply? Don't Miss This Opportunity! 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