Job Title
Data Scientist
Salary
£49,519 – £74,278 per annum
Location
Peterborough On -Site 5 Days per week
Benefits
- 25 days annual leave plus 8 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
About E+ES
Caterpillar’s Electrification & Energy Solutions (E+ES) Division focuses on delivering advanced electrified power train, zero‑emissions products and technologies, and the services associated with these technologies. Focus areas include batteries, fuel cells, motors, inverters, micro‑grid controllers, charging, energy storage systems, lifecycle solutions and integration of components for ePowertrain solutions across industries.
Overview
When you join Caterpillar, you become part of a global team that cares not just about the work we do but each other. We are makers, problem‑solvers, and future world builders creating stronger, more sustainable communities. We make progress and innovation happen with our customers, where we work and live, building a better world for all.
The Opportunity
As a Data Scientist, you will be an integral part of our dedicated analytics team, supporting the development of data‑driven insights and tools that help Caterpillar and its customers navigate the energy transition. You will work with stakeholders from Business Development, Marketing, and Engineering to analyse machine and operational data and contribute to customer‑focused analytics solutions. The role provides opportunities to apply data science to real‑world challenges such as electrification, total cost of ownership and operational optimisation, while gaining exposure to DevOps, cloud platforms, containerisation and emerging technologies including Generative AI.
What Will You Do
- Work with cross‑functional teams to understand data requirements and support analysis activities.
- Analyse machine and operational datasets, including telematics, to identify patterns in usage, performance and energy consumption.
- Support the development of analytical models (forecasting, optimisation, or TCO calculations) to inform business decisions.
- Contribute to the development of data‑driven tools and visualisations to communicate insights to stakeholders.
- Assist in gathering, cleaning, and transforming data from multiple sources, including internal systems and APIs.
- Present findings clearly to both technical and non‑technical audiences with guidance from senior team members.
- Continuously develop your understanding of electrification, machine data, and data science techniques.
What You Have
- Business Statistics – knowledge of statistical tools, processes and practices to describe business results in measurable scales; ability to use statistical tools to assist in decision making.
- Accuracy and Attention to Detail – understanding the necessity of accuracy and ability to complete tasks with high precision.
- Analytical Thinking – knowledge of techniques and tools that promote effective analysis; ability to determine root causes of problems and create alternative solutions.
- Machine Learning – knowledge of machine learning principles, technologies and algorithms; ability to develop, implement and deliver related systems.
- Programming Languages – knowledge of basic concepts and capabilities of programming; ability to use tools, techniques and platforms to write and modify code.
- Query and Database Access Tools – knowledge of data management systems; ability to search, extract and format data for further use.
- Requirements Analysis – knowledge of tools, methods and techniques of requirement analysis; ability to elicit, analyse and record required business functionality and non‑functionality requirements.
Knowledge
- Experience in a Data Scientist or similar analytical role (or strong relevant academic experience).
- Good foundation in statistical analysis and data science techniques.
- Proficiency in Python and common data science libraries (NumPy, Pandas).
- Experience working with structured datasets; exposure to time‑series or operational data is beneficial.
- Basic understanding of APIs or experience working with multiple data sources.
- Experience with cloud‑based data platforms or analytics environments (e.g. AWS, Snowflake) is desirable.
- Strong problem‑solving skills and a willingness to learn.
- Good communication skills, with the ability to explain technical concepts clearly.
Top Candidates Will Also Have
- Experience working in a team environment with cross‑functional stakeholders.
- Interest in machine analytics, electrification, or energy systems.
- Experience creating data visualisations or dashboards.
- Familiarity with tools such as Jupyter Notebooks or similar environments.
- A proactive mindset and eagerness to develop new skills.
Additional Information
- The posting closes at 12am on 8th July 2026.
- This position requires working onsite five days a week.
- Visa Sponsorship is not available for this position.
Posting Dates
July 6, 2026 – July 12, 2026
Equal Opportunity Statement
Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply.
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