At a Glance
- Tasks: Join our analytics team to develop innovative solutions for electrification and data analysis.
- Company: Caterpillar Inc., a leader in sustainable technology and innovation.
- Benefits: Enjoy 25 days leave, bonuses, pension schemes, and flexible benefits.
- Why this job: Make a real impact on the future of electric vehicles and sustainability.
- Qualifications: Experience in data science, Python programming, and strong analytical skills.
- Other info: Collaborative environment with opportunities for growth and learning.
The predicted salary is between 42000 - 61000 £ per year.
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.
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.
Data Scientist in Peterborough employer: Caterpillar Brazil
Contact Detail:
Caterpillar Brazil Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in Peterborough
✨Tip Number 1
Network like a pro! Reach out to current employees at Caterpillar on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Caterpillar is looking for someone who can handle complex data sets, so be ready to discuss your experience with Python, SQL, and any relevant projects you've worked on.
✨Tip Number 3
Show off your problem-solving skills during the interview. Caterpillar values analytical thinking, so be prepared to tackle hypothetical scenarios and explain your thought process clearly.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the Caterpillar team.
We think you need these skills to ace Data Scientist in Peterborough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight relevant experience, especially in data analysis and programming with Python. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include any projects or case studies that demonstrate your analytical thinking and problem-solving skills. If you've worked on predictive models or data visualisation, let us know! This helps us see your practical experience.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about data science and how you can contribute to our mission at Caterpillar. Be genuine and let your personality shine through – we love to see enthusiasm!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, it shows you're keen to join our team!
How to prepare for a job interview at Caterpillar Brazil
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially around numerical techniques and statistical analysis. Be ready to discuss your experience with Python, SQL, and any relevant libraries like NumPy and Pandas. They’ll want to see that you can not only code but also understand the underlying principles.
✨Show Off Your Problem-Solving Skills
Prepare to tackle some real-world problems during the interview. Think about how you would approach complex datasets related to battery performance or energy consumption. Practise explaining your thought process clearly, as they’ll be looking for your analytical thinking and ability to define and solve problems.
✨Communicate Like a Pro
You’ll be working with cross-functional teams, so it’s crucial to convey technical concepts to both technical and non-technical stakeholders. Practise explaining your past projects in simple terms, highlighting how your insights influenced decisions. This will show that you can bridge the gap between data and actionable business strategies.
✨Be Ready to Collaborate
Caterpillar values teamwork, so come prepared to discuss how you’ve collaborated with others in previous roles. Think of examples where you worked with different teams to collect and analyse data. Highlight your emotional intelligence and openness to discovery, as these traits will help you thrive in their environment.