At a Glance
- Tasks: Lead data analysis and develop insights for electrification and energy solutions.
- Company: Join Caterpillar, a global leader in sustainable technology and innovation.
- Benefits: Enjoy competitive salary, generous leave, bonuses, and flexible benefits.
- Other info: Collaborate with global experts and grow your career in a dynamic environment.
- Why this job: Make a real impact on the energy transition with cutting-edge data science.
- Qualifications: Experience in data science, strong analytical skills, and proficiency in Python.
The predicted salary is between 66079 - 82599 £ per year.
- Lead Data Scientist
- Salary
- £66,079 - 82,599 (dependent on experience)
- 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
Caterpillar’s Electrification & Energy Solutions (E+ES) Division focuses on delivering advanced electrified power train, zero‑emissions products/technologies, and related services.
Focus areas include batteries, fuel cells, motors, inverters, micro‑grid controllers, charging, energy storage systems, lifecycle solutions/services and integration of components for e Powertrain solutions across industries.
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 Dev Ops, 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
- Direct data gathering, mining, and processing for large volumes; create appropriate data models.
- Explore, promote, and implement semantic data capabilities through natural language processing, text analysis, and machine‑learning techniques.
- Define requirements and scope of data analyses; present and report possible business insights to management using data visualization technologies.
- Conduct research on data model optimization and algorithms to improve effectiveness and accuracy of data analyses.
Skills
- Business Statistics: Knowledge of statistical tools for business decision making.
- Accuracy and Attention to Detail: Ability to complete tasks with high precision.
- Analytical Thinking: Ability to determine the root cause of problems and create alternative solutions.
- Machine Learning: Knowledge of principles, technologies and algorithms; ability to develop, implement and deliver related systems.
- Programming Languages: Ability to write and modify code in mainstream languages.
- Query and Database Access Tools: Knowledge of data management systems, ability to search, extract, and format data.
- Requirements Analysis: Ability to elicit, analyse and record 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 (Num Py, 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) desirable.
- Strong problem‑solving skills and willingness to learn.
- Good communication skills, 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 17th 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 to a reduced‑carbon future.
Equal Opportunity Employer
Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply.
#J-18808-Ljbffr
Lead Data Scientist in Peterborough employer: Caterpillar Inc.
Caterpillar is an exceptional employer, offering a dynamic work environment in Desford, Leicestershire, where the EHS Supervisor role plays a crucial part in fostering a culture of safety and compliance. With competitive benefits such as a generous annual leave policy, a contributory pension scheme, and opportunities for professional growth through employee support networks, we prioritise the well-being and development of our team members. Join us to make a meaningful impact while enjoying a supportive and innovative workplace that values collaboration and continuous improvement.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist in Peterborough
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Caterpillar Inc.!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Lead Data Scientist at Caterpillar Inc..
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Caterpillar Inc..
✨Apply Directly through Our Website
When you find a suitable opening like Lead Data Scientist at Caterpillar Inc., make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Lead Data Scientist in Peterborough
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Caterpillar Inc., your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Caterpillar Inc.. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Caterpillar Inc.
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Caterpillar Inc.!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
