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- Tasks: Analyse complex data sets to drive electrification solutions and improve battery performance.
- Company: Join Caterpillar, a global leader in sustainable technology and innovation.
- Benefits: Enjoy competitive salary, generous leave, bonuses, and flexible benefits.
- Why this job: Make a real impact on the future of electric vehicles and sustainable energy.
- Qualifications: Degree in Data Science or related field; experience with Python and SQL required.
- Other info: Collaborative environment with opportunities for growth and learning.
The predicted salary is between 49519 - 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. 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: 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. 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.
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.
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.
- 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.
- Accuracy and attention to detail: Evaluates and makes contributions to best practices.
- 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.
NB. The panel cannot make assumptions when shortlisting therefore please demonstrate your qualifications and experience on your CV relevant to the criteria outlined.
Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply.
Data Scientist employer: Caterpillar Financial Services Corporation
Contact Detail:
Caterpillar Financial Services Corporation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨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 maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your Python skills and data analysis techniques. Caterpillar loves candidates who can demonstrate their analytical thinking and problem-solving prowess.
✨Tip Number 3
Show off your passion for sustainability and electrification in your conversations. Caterpillar is all about building a better world, so let them know how you can contribute to that mission!
✨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
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with Python, SQL, and any relevant projects that showcase your analytical skills. We want to see how your background aligns with what we're looking for!
Showcase Your Problem-Solving Skills: In your application, don’t just list your skills—show us how you've used them to solve real problems. Share specific examples where your analytical thinking made a difference. This will help us see your potential impact at Caterpillar.
Be Clear and Concise: When writing your application, clarity is key! Use straightforward language and avoid jargon unless necessary. We appreciate a well-structured application that gets straight to the point, making it easy for us to understand your qualifications.
Apply Through Our Website: We encourage you to apply through our website for the best chance of being noticed. It’s super easy and ensures your application goes directly to us. Plus, you’ll find all the details you need about the role right there!
How to prepare for a job interview at Caterpillar Financial Services Corporation
✨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 how you can apply these skills to real-world problems.
✨Show Your Problem-Solving Skills
Prepare to showcase your analytical thinking and problem-solving abilities. Think of specific examples where you've tackled complex data challenges or developed predictive models. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly.
✨Understand Their Mission
Familiarise yourself with Caterpillar's mission and values, especially their focus on sustainability and electrification. Be ready to discuss how your work as a Data Scientist can contribute to their goals of building a better world through innovative solutions.
✨Be Ready for Technical Questions
Expect technical questions that test your knowledge of data analysis and machine learning algorithms. Practice explaining complex concepts in simple terms, as you'll need to convey technical ideas to both technical and non-technical stakeholders during your role.
