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

This role requires the data scientist to be a hands-on software developer and interested in solving real world physics-based problems.The work will involve management and problem analysis, data exploration and preparation, data collection and integration, AI/machine learning modelling, and operationalization.

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 analysis and interpretation. Display drive and curiosity to understand the business process to its core
• Understand new data sources and process pipelines, and catalog/document them
• Work with various databases such as SQL or graph databases, and other source systems
• Apply a variety AI/ML and advanced analytics techniques to perform classification or prediction tasks
• Run experiments and test models using cross-validation, A/B testing, bias and fairness, etc.
• Maintain and update the analytics software platform (Python)
• (Help to) create data pipelines for more efficient and repeatable data science projects
• Establish best practices around AI/ML production infrastructure
• Condition Monitoring, Time series Analytics
• Upskill yourself (through conferences, publications, courses, local academia and meetups)

Qualifications

• A bachelor’s or master’s degree in computer science, data science, operations research, statistics, applied mathematics, or a related quantitative field such as, economics, engineering and physics is preferred. Experience in more than one area is strongly preferred
• Relevant experience with 5+ years
• 3+ years of relevant project experience in successfully launching, planning, executing of data science projects. Preferably in the domains of imaging systems, risk modelling, customer behavior prediction, quality assessment, and/or factory automations
• Knowledge and experience in statistical and data mining techniques: generalized linear model (GLM)/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, convolutional neural network (CNN), recurrent neural network (RNN), T-distributed Stochastic Neighbor Embedding (t-SNE), graph analysis, etc
• Strong knowledge of math, probability, statistics, and algorithms
• Ability to write robust, production-ready Python code
• Adept in agile development methodologies
• Self-driven, curious and creative
• They must demonstrate the ability to work in diverse, cross-functional teams in a dynamic business environment
• Should be confident, energetic self-starters. Ability to make progress on large projects independently or as part of a team
• Strong 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 race, colour, 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)