Data Scientist

Caterpillar Financial Services Corporation
Cambridgeshire
2 days ago
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Overview

Career Area: Technology, Digital and Data

Job Description:

Your Work Shapes the World at Caterpillar Inc.

When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.

Job Title: Data Scientist

Salary/Grade: £49,519 - £61,000 per annum (depending on experience)

Location: Peterborough

Benefits:

  • 25 days annual leave plus bank holidays

  • Up to 10% 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.

  • Optional flexible benefits including access to health and dental care plans, EV car lease, holiday purchase.

This role requires 5 days a week in the office.

About E+ES

Whether it be groundbreaking products, best in class solutions or creating a lifelong career, you can do the work that matters at Caterpillar. With a 95-year legacy of quality and innovation and 150 locations in countries around the world, your impact spans the globe.
Caterpillar’s Electrification & Energy Solutions (E+ES) division focuses on delivering advanced electrified power train, zero-emissions products/technologies, and the solutions and services associated with these technologies. Focus areas include batteries, fuel cells, motors, inverters, micro grid controllers, charging, energy storage systems, lifecycle solutions/services and integration of components for ePowertrain solutions across industries.
We are looking for top talent to build and scale the next generation of technologies, products and services to help our customers build a better—more sustainable—world. We need self-motivated, intelligent and team-oriented individuals to make our plans a reality. Individuals with high emotional intelligence, humility and openness to discovery will thrive in the teams we are building.

The opportunity:

As a Data Scientist, you will be an integral part of our dedicated analytics team, contributing to the development and deployment of innovative business solutions. You will support electrification and enhance understanding of machine and battery performance with respect to customer requirements. This will involve developing mathematical algorithms, coding solutions and analysing results to provide insight to the wider business.

Our mission is to support our customers in the energy transition by delivering high-performance and technologically advanced electric vehicles and solutions. Extracting insights from complex datasets, you will influence high level decisions and be part of a team to drive the future of machine power solutions through innovative data analysis. This is a collaborative role, working closely with multiple cross-functional teams across Caterpillar.

What you will do:

  • Collaborate with cross-functional teams to collect, preprocess, and analyse complex data sets related to vehicle electrification, including battery performance, charging infrastructure, and energy consumption.

  • Predict and improve battery health, degradation, and lifespan through data analysis.

  • Work with team members to develop predictive models for customer behaviours, charging patterns, and energy consumption to optimise vehicle electrification strategies.

  • Develop your understanding of battery electrification, machine analysis and data science techniques by conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analysis.

What you have:

Analytical thinking:

  • Strong background in numerical techniques, quantitative and statistical analysis.

  • Mathematical curiosity and proficiency with numerical methods such as optimisation.

  • Excellent problem-solving skills, analytical thinking, and the desire to learn and continuously improve.

  • Approaches a situation or problem by defining the problem or issue and determining its significance.

Requirements Analysis:

  • The ability to translate complex requirements and define solutions.

  • Ability to convey technical concepts to both technical and non-technical stakeholders

  • Proven experience as a Data Scientist in a technical engineering industry.

Programming languages:

  • Demonstrable experience of Python programming and relevant libraries (NumPy, Pandas).

Query and Database Access Tools:

  • Experience with SQL and database technologies such as Snowflake.

  • Applies appropriate query tools used to connect to the data warehouse.

Accuracy and attention to detail:

  • Evaluates and makes contributions to best practices.

  • Processes large quantities of detailed information with high levels of accuracy.

  • Productively balances speed and accuracy.

Education:

  • Degree in Computer Science, Engineering, Data Science, or a related field.

About Caterpillar

Caterpillar Inc. is the world’s leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. For nearly 100 years, we’ve been helping customers build a better, more sustainable world and are committed and contributing to a reduced-carbon future. Our innovative products and services, backed by our global dealer network, provide exceptional value that helps customers succeed.

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.

Posting Dates: February 6, 2026 - February 13, 2026

Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply

Not ready to apply? Join our Talent Community.


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