Lead Data Scientist

Key accountabilities:

• 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
• Technical ownership collaboration code reviews and implementing best practices etc.

Key activities:

• The lead 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.

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.

Qualifications :

Experience & Education:

• Min 8 Years
• A bachelors 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

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 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 careers website (Careers - Smiths Group plc)

Remote Work :

No

Employment Type :

Full-time