Job Description

Key accountabilities:

- The data scientist will assume a role of significant leadership on a team that is responsible for planning, executing and delivering novel projects as John Crane incorporates advanced analytics and machine learning throughout our products and services, with a current emphasis on developing predictive diagnostics for industrial equipment.
- The role brings the capabilities of solution architecture and design using latest tech stack and in house developed platform.
- He/she applies extensive technical expertise and has full knowledge of other related disciplines. This role requires the data scientist to be a hands-on software developer.
- He/she applies extensive technical expertise to plan and execute the Data Science Roadmap

Key activities:

- Work on a team designing cutting-edge software and algorithms to solve real-world problems in industrial processes. Use machine learning techniques, statistical tests, classical algorithms, and physically-motivated models as appropriate
- Perform in-depth exploratory analysis of data from the field and laboratory experiments
- •Acquire domain knowledge about mechanical systems to aid in interpretation,



analysis, and model building. Display drive and curiosity to understand the business to its core
- Develop applications according to requirements using a variety AI/ML and analytical techniques
- Maintain and update the analytics software platform (Python)
- Establish best practices around AI/ML production infrastructure, including building robust data pipelines and implementing MLops
- Keep abreast of developments in the field
- Collaborate with engineering and product development teams
- Provide day-to-day guidance and technical leadership to the data science team: collaborate with team members on their work, perform code reviews with a view to ensuring robust software deployments and implementing best practices, etc.

Responsibilities:

- Align architectural designs with business priorities and justify technology choices.
- Assist in the adoption of modern data architectures, event-driven architectures, and real-time analytics integration.
- Maintain oversight of system reliability, scalability, and performance requirements.

📌 Staff Data Scientist (Bengaluru)
🏢 John Crane
📍 Bengaluru