Job description

About Us

Founded in 1917, John Crane is a global leader in the design, manufacturing, and engineering of mission critical flow control solutions for increased efficiency, emission reductions and energy transformation. Our products include mechanical seals and systems, couplings, bearings, filtration systems and predictive digital monitoring technologies. John Crane customer service is accessed through a global network of more than 200 global sites in over 50 countries employing more than 6,000 employees worldwide. We partner with our customers and help them meet the latest environmental standards and keep their operations safe and controlled.

John Crane is part of Smiths Group, For over 170 years, Smiths has been improving our world through smarter engineering. Our technology benefits millions of people every day – making travel safer, supporting sustainable energy transition, efficiently heating, cooling our homes, and helping our world stay connected.

Connect with us on LinkedIn: John Crane: LinkedIn

Job Description

John Crane is looking for Data Scientist to be the part of its global platform and applications development team in Technology group.

The data scientist will be responsible for planning, executing and delivering novel projects as John Crane incorporates advanced analytics and machine learning throughout our products and services.

The work will involve problem analysis, data exploration and preparation, data collection and integration, AI/machine learning modelling, and operationalization.

Duties & Responsibilities

  • Work on a team designing software and algorithms to solve real-world problems in industrial processes. Use machine learning techniques, statistical tests, algorithms, and physically motivated models as appropriate.
  • Perform in-depth exploratory analysis of data from the field and laboratory experiments.
  • 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)
  • Establish best practices around AI/ML production infrastructure

Roles & Responsibilities

  • 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.
  • Candidates should have 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 automation
  • Knowledge 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
  • Ideally, the candidates are adept in agile development methodologies

To find out more about project and life at John Crane check out our LinkedIn: John Crane | LinkedIn and our project site at: JC Sense

Join us for a great career and competitive compensation & benefits whilst keeping the world a safer place.

Diversity & Inclusion

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, 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 ( or LinkedIn.

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