Career Area
Engineering
Job Description
Job Title: Engineering Data Scientist
Salary Grade: £36,600 - £45,700 (depending on experience)
Location : Peterborough, Cambridgeshire
STIP Bonus: up to 10%
25 days annual leave
Contributory
pension scheme - Caterpillar will double the employee's contribution Up to 10%
Contributory
share scheme - Caterpillar will match 50% of the employee's contribution
CAT High Street Discounts
Flexible working arrangements will be considered for this role, in-line with the needs of the business.
Who is Caterpillar? What do we do?
Caterpillar is a world leader in construction and mining equipment—creating innovative, cutting-edge products
and services that help our customers build the world around us. With that level of impact comes the platform
to care for the world, we work in. That’s why we lead sustainable green initiatives to preserve the environment,
help reduce poverty with the Caterpillar Foundation and stay involved in the communities we help build.
What will Caterpillar do for you?
From day one, you’re set up to thrive at Caterpillar: helpful training, relatable mentors, global experience, competitive salary package, work-life balance and the growth opportunities you expect with a Fortune 100 company.
You power our success and we are committed to empowering yours. After all, when your work can impact the entire world, it’s important to do work that matters.
The Engineering Data Systems team is part of the systems engineering team within the Industrial Power Systems Division. The team was created in 2018 from specialist personnel from the mechanical & performance systems teams, with the purpose of developing and deploying engineering analytics tools and processes. These tools and processes enable the product development teams to extract maximum knowledge from large amounts of test bed and in machine data from power system products in development, and production. The team combines a unique blend of ‘big data’ data analytics and process automation with specialist engineering skill sets. The team supports the Systems Team vision to be ready for future power system solution development and to continue to develop value from our data for our engineering development teams and our power-system customers.
Job Responsibilities And Duties
- Access and navigate around our data systems to utilise data to resolve engineering & business problems
- Apply a multidisciplinary approach to support complex engineering analysis and the development of business intelligence via data analytics
- Perform analysis and report out using easy to consumable visualisations
- Communicate analytical solutions and workflows at a technical and leader level in support of technical and stakeholder reviews
- Document work and processes to aid repeatability of analytics and democratisation of analytics
- Apply cutting edge data science techniques on engineering big data, deriving hidden insights and value
- Influence future data infrastructure and technologies that the department adopts, helping to drive a data driven decision making culture
- Deploy frequently used analytics to engineering teams through web apps, dashboards and automation
Skills And Experience
Candidates will have gained the following skills and experience through previous roles:
- Demonstrated experience of data analysis (any platform)
- Experience of writing code (any code)
- Demonstrated experience of work within an engineering or data analytics field
Candidates may have gained the following skills and experience through previous roles:
- Scripting in Python including science, web application and SQL libraries
- Neural networks and machine learning algorithms – e.g. Keras, Tensorflow, scikit-learn, pytorch, Maxflow, KNIME, etc
- Database utilisation e.g. mySQL, Snowflake, Oracle
- Iterative and collaborative code development experience and version control - Jupyter notebooks, DevOps, Agile framework or Git
- Data manipulation experience – using Alteryx, Excel, Power Automate or other data tools
- Data visualisation & analysis - Tableau, DIAdem, Seeq, PowerBI, Mini-tab, Concerto or other
- Statistical analysis
- Deployment of code in cloud computing environments e.g. AWS, Azure, etc
- Experience in or knowledge of IC engine technology, engine control systems or engine performance development
NB. The panel cannot make assumptions when shortlisting therefore please demonstrate your qualifications and experience on your CV relevant to the criteria outlined.
Pending the number of applications, the criteria for the position may be enhanced to facilitate shortlisting.
Caterpillar is an Equal Opportunity Employer (EEO).
Not ready to apply? Submit your information to our Talent Network here .
