Job
Description
Staff Data Scientist Location: India Ref: REF1492Y Job Function: Information Technology Company Description John Crane, a business of Smiths Group, is a global leader in mission-critical flow control solutions for energy and process industries that enable efficient and sustainable operations. Our products include mechanical seals and systems, couplings, bearings, filtration systems, and predictive digital monitoring technologies. We have a global network of more than 200 sites in over 50 countries and employ more than 6,000 people worldwide. We partner with our customers to help them keep their operations safe, reduce downtime, improve efficiency, and meet the latest environmental standards. John Crane is part of Smiths Group. For over 170 years, Smiths has been pioneering progress by engineering for a better future. We serve millions of people every year, helping to create a safer, more efficient, productive, and better-connected world across four global markets: energy, security & defence, space & aerospace, and general industrial. Listed on the London Stock Exchange, Smiths employs approximately 16,000 colleagues in over 50 countries. Job Description Duties & Responsibilities: Work on a team designing innovative 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. Qualifications Minimum 12 years relevant experience Expertise with the Python data science ecosystem (pandas, scikit-learn, PyTorch/Keras, etc.) and with common machine learning approaches (generalized linear models/regression, clustering, tree-based methods, deep learning, etc.). Prior experience implementing data pipelines (cleaning and ETL processes) and MLops (deployment with CI/CD pipelines, monitoring, and model version control) is a plus Experience using data to monitor the function and health of mechanical equipment, or with designing or modeling physical systems, is a significant bonus Proven experience in leading challenging data science projects A bachelor s or advanced degree in computer science, data science, operations research, applied mathematics, engineering, physics, or related field. Experience in more than one area is strongly preferred Strong knowledge of math, probability, statistics, and algorithms Excellent data visualization skills Takes pride in writing clean, robust, production-ready Python code Adept in agile development methodologies Outstanding analytical and problem-solving skills Must demonstrate the ability to work in diverse, cross-functional teams in a dynamic business environment Candidates must be curious, creative, self-driven, and energetic self-starters Excellent written and verbal communication skills
