Sr Data Scientist

Caterpillar UK

**
Data analysis, visualization, statistical modelling
Machine learning and deep learning
Python and sql proficiency
** Caterpillar UK is seeking a Senior Data Scientist to join their team, where the focus is on leveraging data analytics to solve complex business problems. The ideal candidate should possess extensive experience in data analytics, machine learning, and proficiency in tools such as Python and SQL. **

Job Summary

  • As an Senior Information Technology (IT) Analyst, you will have the opportunity to work both independently and with a cooperative team on complex projects that may span multiple infrastructure components or applications.
  • You will define the relationships, flows and implementation of business (processes/activities/functions, information), applications, data and technology in the enterprise and the transitional process necessary for implementing technology in response to changing business needs.
  • Our goal at Caterpillar is for you to have a rewarding career. Our teams are critical to the success of our customers who build a better world.

Matching Summary

Match Score: 75

** Caterpillar UK is seeking a Senior Data Scientist to join their team, where the focus is on leveraging data analytics to solve complex business problems. The ideal candidate should possess extensive experience in data analytics, machine learning, and proficiency in tools such as Python and SQL. **

Skills & Requirements

Must-have

  • Data Analysis, Visualization, Statistical Modelling
  • Machine Learning and Deep Learning
  • Python and SQL proficiency
  • LLMs and Agentic Framework experience
  • Big Data & Cloud database concepts
  • Production experience in Data Science/ML
  • Apache Spark, MLLib expertise
  • Azure/AWS distributed technical solutions
  • Web APIs and data wrangling
  • NLP techniques such as text classification
  • MLOps practices and tools
  • Data visualization tools like Plotly/Dash
  • Cloud-native architecture and container orchestration
  • Git, Azure DevOps, MLFlow CI/CD
  • Relational and non-relational databases

Nice-to-have

  • Continuous learning focus
  • Certifications in related tools
  • Searching Technology like Elastic Search
  • Dashboarding and data visualization tools
  • Streaming frameworks and analytics

Key Requirements

  • 8-10 years overall experience
  • Minimum 5 years in Data Analytics
  • 5+ years production experience in Data Science/ML
  • Relevant Master's or Bachelor’s degree
  • Excellent communication and interpersonal skills
  • Flexible to work in rotational shifts
  • Client/Business partner facing skills

Work Rights

Not specified

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