Staff Data Scientist

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.

• 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

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 (Careers - Smiths Group plc)