Key accountabilities:
- The data scientist will assume a role of significant leadership on a team that is responsible for planning, executing and delivering novel projects as John Crane incorporates advanced analytics and machine learning throughout our products and services, with a current emphasis on developing predictive diagnostics for industrial equipment.
- The role brings the capabilities of solution architecture and design using latest tech stack and in house developed platform.
- He/she applies extensive technical expertise and has full knowledge of other related disciplines. This role requires the data scientist to be a hands-on software developer.
- He/she applies extensive technical expertise to plan and execute the Data Science Roadmap
Key activities:
- 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.
Responsibilities:
- Align architectural designs with business priorities and justify technology choices.
- Assist in the adoption of modern data architectures, event-driven architectures, and real-time analytics integration.
- Maintain oversight of system reliability, scalability, and performance requirements.
Experience & Education:
- Min 12 Years
- 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
- Proven experience in leading challenging data science projects
Technical Skills:
- Strong knowledge of math, probability, statistics, and algorithms
- 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.)
People 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)