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 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 Solid 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 energetic business environment Candidates must be curious creative self-driven and energetic self-starters Excellent written and verbal communication skills Additional Information With colleagues stretching across the globe we are proud of our diversity To foster inclusivity we run employee resource groups ERGs to provide a safe space for employees to connect and support each other Our cross-business ERGs include Veterans Pride Network Black Employee Network Women Work Network and Neurodiversity Across our company we recognize excellence culminating in the Smiths Excellence Awards our annual celebration of the most extraordinary activities people and projects that best showcase our strengths and help drive our business forward We announce these on our annual Smiths Day a global celebration of Smiths around our network Join us for a great career with competitive compensation and benefits while helping engineer a better future We believe that different perspectives and backgrounds are what make a company flourish All qualified applicants will receive equal consideration for employment regardless of color religion sex sexual orientation gender identity national origin economic status disability age or any other legally protected characteristics We are proud to be an inclusive company with values grounded in equality and ethics where we celebrate support and embrace diversity At no time during the hiring process will Smiths Group nor any of our recruitment partners ever request payment to enable participation - including but not limited to interviews or testing Avoid fraudulent requests by applying jobs directly through our career s website

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