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98 Smiths Group Plc Jobs
Senior Data Scientist
Smiths Group Plc
posted 3+ weeks ago
Job Role Insights
Flexible timing
Key skills for the job
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.
Employment Type: Full Time, Permanent
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Flexible timing
Monday to Friday
Within country
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