Data scientist/engineer Work, Jobs in Doddington Pe15 (with Salaries)

Data Scientist/Engineer
Caterpillar —Peterborough
- £43,000 - £65,000 a year
- Full-time
- AWS
- APIs
- Communication skills
- Annual leave
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- Full-time
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Data Scientist/Engineer

Caterpillar -
Peterborough

Apply Now

Job details

Full-time
£43,000 - £65,000 a year
4 days ago

Benefits

Annual leave
Company pension
Car scheme

Qualifications

NumPy
Pandas
Statistical analysis
AWS
APIs
Data science
Communication skills
Python

Full job description

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.

Your Impact 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: £43k-£65k

Location: Peterborough On -Site 5 Days per week

Benefits:

25 days annual leave plus 8 Bank Holidays
Up to 18% 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

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 will focus 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, focused on supporting the development of data-driven insights and tools that help Caterpillar and its customers navigate the energy transition.

You will work with a range of stakeholders, including Business Development, Marketing, and Engineering teams, to analyse machine and operational data and contribute to the development of customer-focused analytics solutions.

This role provides an opportunity to apply data science skills to real-world challenges such as machine electrification, total cost of ownership (TCO), and operational optimisation. You will support the development of analytical models and tools that inform business decisions and enhance customer understanding.

You will also benefit from exposure to Caterpillar’s global centres of excellence, with opportunities to collaborate and learn in areas such as DevOps, cloud platforms, containerisation, and emerging technologies including Generative AI. This role offers strong development opportunities, enabling you to build both technical expertise and a broader understanding of how data science is applied across the organisation.

What will you do:

Work with cross-functional teams (Business Development, Marketing, Engineering) to understand data requirements and support analysis activities.
Analyse machine and operational datasets (including telematics data) to identify patterns in usage, performance, and energy consumption.
Support the development of analytical models (e.g. forecasting, optimisation, or TCO calculations) to inform business decisions.
Contribute to the development of data-driven tools and visualisations to help 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:

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 Jupiter Notebooks or similar environments.
A proactive mindset and eagerness to develop new skills.

Additional information:

The posting closes at 12am on 8th July 2026

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.

This position requires working onsite five days a week.

Visa Sponsorship is not available for this position.

Posting Dates:

June 24, 2026 - July 8, 2026

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

Not ready to apply? Join our Talent Community.

Apply Now

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data scientist/engineer jobs in doddington pe15

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Explore jobs in more locations

Your Impact Shapes the World at Caterpillar Inc.

Job Title: Data Scientist

Salary/Grade: £43k-£65k

Location: Peterborough On -Site 5 Days per week

Benefits:

25 days annual leave plus 8 Bank Holidays

Up to 18% 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

The opportunity:

As a Data Scientist, you will be an integral part of our dedicated analytics team, focused on supporting the development of data-driven insights and tools that help Caterpillar and its customers navigate the energy transition.

You will work with a range of stakeholders, including Business Development, Marketing, and Engineering teams, to analyse machine and operational data and contribute to the development of customer-focused analytics solutions.

What will you do:

Work with cross-functional teams (Business Development, Marketing, Engineering) to understand data requirements and support analysis activities.

Analyse machine and operational datasets (including telematics data) to identify patterns in usage, performance, and energy consumption.

Support the development of analytical models (e.g. forecasting, optimisation, or TCO calculations) to inform business decisions.

Contribute to the development of data-driven tools and visualisations to help 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:

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 Jupiter Notebooks or similar environments.

A proactive mindset and eagerness to develop new skills.

Additional information:

The posting closes at 12am on 8th July 2026

About Caterpillar