Data Scientist - Engine Research

Key Skills

Python Programming, SQL, Cloud computing

Job Description

Job Title: Data Scientist – Engine Research

Salary: £48,648 - £52,500 (Depending on Experience)

Location: Peterborough, Cambridgeshire

Benefits: 25 days annual leave,

Up to 12% Bonus

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 Advantage High Street Discounts App

Relocation/ Sponsorship: We are not able to support sponsorship or relocation for this role

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 Opportunity

We currently have a new and exciting opportunity for a Data Scientist to support the development of new analytics approaches within Caterpillar’s Energy and Transportation Research team. We have access to more than a million connected machines and power systems; we want to turn that data into knowledge to better inform our future product development and bringing value to our customers

This innovative team is responsible for developing novel engineering solutions and processes, working collaboratively with Universities, internal and external industrial partners as well as with our US based sister team.

The team leads the powertrain research strategy and delivery for Caterpillar within Europe, this includes global research responsibility for electrification and hybridisation, systems integration and control.

Job Responsibilities and Duties:

• Develop methodologies to perform cleaning and organisation of data received from in-field machines and engines, from simulation and from internally generated test data
• Working closely with domain specialists, develop data based and physical models for use with data-streams within local and cloud-based computing environments.
• Integration of code into cloud-based servers
• Coordinate with software and controls specialists to facilitate them developing embedded controls models, interfaces and physical test and simulation tools, within a wider end-to-end product development, controls system and powertrain development process.
• Work with multi-disciplinary teams (Physical test, Controls, Multi-scale modelling etc) to support continuous improvement of end-to-end product development process

Skills and Experience:

Candidates will have gained the following skills and experience through previous roles:

• Requires an accredited degree (2:1 or above) or equivalent experience and excellent analytical skills.
• Highly skilled in common tools and languages, demonstrated use of one or more of the following: Python/ R/ Tableau / ETL/ Sagemaker/AWS or similar
• Familiarity with databases and use to analyse data rapidly and accurately, skilled in the use of one or more of the following examples: Hadoop/ SQL/ Oracle/ Snowflake or similar
• Understanding of Statistical methods, machine learning and uncertainty quantification, both tools and mathematical theory.
• Practical integration of Machine learning, Neural networks, classification / categorisation for determination of root cause and full population assessment

 Although this is primarily a data science role, we will provide additional job focussed training in areas such as:

• Engines and power systems
• Tribological systems.

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.