Data Scientist- Operations

Topsoe; India; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

Topsoe is seeking an operations-focused Data Scientist in India to translate data-driven ideas into production-ready analytics. You will work on the Clearview platform, automating Excel-driven processes, owning the codebase, and ensuring reliable operation in real customer environments.

The role blends data science with software development and product operations, requiring strong Python skills, production experience, and collaboration with engineers, customers, and experts.

Qualifications

• A Master’s degree in a technical or quantitative discipline.
• Strong Python development skills with debugging, maintenance, and support experience.
• Track record in data science and production/customer-facing systems.
• Ability to own a complete codebase and drive projects to operation.
• Experience troubleshooting deployed analytical or digital solutions.
• Structured, practical approach to solving operational challenges.
• Excellent collaboration and communication across teams and with customers.
• Curiosity for chemical and process engineering concepts.

Responsibilities

• Develop and optimize Python-based solutions to automate processes.
• Own and maintain the codebase for reliability and production readiness.
• Operate and scale the Clearview product in customer environments.
• Collaborate with engineers, customers, and stakeholders to deliver analytics.
• Troubleshoot and prevent operational issues, driving continuous improvement.
• Define telemetry and data requirements to keep solutions data-driven.
• Document processes and support ongoing product operations.

Skills

Python development

Production systems

Data science

Code ownership

Troubleshooting

Collaboration

Curiosity about process engineering

Education

M.Sc. in Computer Science / Applied Mathematics / Chemical or Process Engineering / Software Engineering

Tools

Spark/Databricks

Docker

Kubernetes

SQL/NoSQL

Dashboards

Cloud platforms

DevOps practices

Job description

Job Description:

Role And Impact

Are you passionate about turning data-driven ideas into robust, real-world solutions? As an operations-oriented Data Scientist at Topsoe, you will be at the heart of our digital transformation, ensuring our advanced analytics products deliver tangible value to customers every day. This is not a purely research or machine-learning role—here, you will see your work come to life in production environments, making a direct impact on how our customers operate and succeed.

In This Dynamic Position, Your Responsibilities Will Include

• Develop and optimize Python-based solutions, automating manual and Excel-driven processes to boost efficiency
• Take full ownership of the codebase, ensuring our digital products are reliable, maintainable, and ready for real-world challenges
• Operate and run Clearview, our flagship digital product, supporting its evolution from development to robust, scalable operation
• Collaborate closely with Technical Service Engineers, customer experts, and stakeholders to deliver analytics solutions that work seamlessly in customer environments
• Troubleshoot, resolve, and proactively prevent operational issues, using your expertise to drive continuous improvement
• Define and validate telemetry and data requirements, ensuring our solutions are data-rich and insight-driven
• Champion best practices in documentation, process improvement, and customer support, helping us set new standards for operational excellence

This role is perfect for someone who thrives at the intersection of data science, software development, and product operations. You will see the direct results of your work, help shape the future of our digital offerings, and play a vital role in our customers’ success stories. If you are excited by the idea of making a measurable impact and being a key player in a collaborative, innovative team, we want to hear from you!

What You Will Bring

We are looking for candidates who are ready to make a difference from day one. You will bring:

• A relevant academic degree, such as a Master of Science (M.Sc.) in Computer Science, Applied Mathematics, Chemical or Process Engineering, Software Engineering, or a similar technical or quantitative discipline
• Strong Python development skills, with hands‑on experience in debugging, maintaining, and supporting operational solutions
• A track record in data science and supporting or operating production or customer‑facing systems
• The drive and confidence to take ownership of a complete codebase and see projects through to successful operation
• Experience troubleshooting and maintaining deployed analytical or digital solutions
• A structured, practical approach to solving operational challenges
• Excellent collaboration and communication skills, with the ability to work effectively across teams and with customers
• Curiosity and enthusiasm for learning about chemical and process engineering

It will be an added advantage if you have any experience in :

• Data engineering and Extract, Transform, Load (ETL)
• Spark or Databricks
• Docker or Kubernetes
• SQL or NoSQL databases
• Dashboards or web-based analytical tools
• Cloud platforms and DevOps practices
• Customer‑facing digital products or industrial systems

We value ownership, accountability, and a hands‑on, solution‑oriented mindset. If you are ready to step up and help shape the future of digital operations, we encourage you to apply.

Why Join Us

At Topsoe, you will join a vibrant, forward‑thinking environment where your ideas and expertise are valued. This is your chance to combine data science and Python development with real operational ownership, working on products that make a difference for customers around the world. You will collaborate with talented colleagues, learn from industry leaders, and have the freedom to innovate and grow. We offer continuous learning, professional development, and the satisfaction of seeing your work drive real‑world impact. Join us and be part of a team that is shaping the future of sustainable technology.

Your New Team

You will become part of a close‑knit data science group of around six dedicated professionals who have built Clearview from the ground up. As we shift our focus to reliable operation, customer support, and ongoing product improvement, you will have the opportunity to work across data science, Python development, product operations, and customer collaboration. Your contributions will be valued, your voice will be heard, and your work will help ensure our solutions deliver stable, practical value in real‑world environments.

Application deadline: 22-10-2026.

We welcome applications from all qualified candidates, irrespective of their gender, age, religion, disability, ethnic background, and geographical location. We encourage individuals from diverse cultures and countries to apply and contribute to our global team.

To ensure a secure and trustworthy work environment, our recruitment process may include background checks, requests for criminal records, and contact with references.

About Us

Topsoe is a leading global provider of advanced technology and solutions for the energy transition.

Built on decades of scientific research and innovation, we are working with customers and partners to drive energy resiliency and to achieve their sustainability goals.

We offer world‑leading solutions for transforming renewable resources into fuels and chemicals, and we provide technologies needed to produce low‑carbon and conventional fuels and chemicals as well as ensuring clean air.

We were founded in 1940 and are headquartered in Denmark, with around 2,500 employees serving customers all around the globe. To learn more visit www.topsoe.com.