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- Tasks: Join our analytics team to develop innovative solutions for electrification and machine performance.
- Company: Caterpillar Inc., a global leader in sustainable technology and innovation.
- Benefits: Competitive salary, generous leave, bonus opportunities, 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 development.
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:
- 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.
- The ability to translate complex requirements and define solutions.
- Proven experience as a Data Scientist in a technical engineering industry.
- Demonstrable experience of Python programming and relevant libraries (NumPy, Pandas).
- Experience with SQL and database technologies such as Snowflake.
- Evaluates and makes contributions to best practices.
- 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 in Peterborough 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 in Peterborough
✨Tip Number 1
Network like a pro! Reach out to current employees at Caterpillar on LinkedIn or through mutual connections. Ask them about their experiences and any tips they might have for landing a Data Scientist role.
✨Tip Number 2
Prepare for the interview by brushing up on your Python skills and data analysis techniques. Caterpillar is looking for someone who can demonstrate their analytical thinking, so be ready to showcase your problem-solving abilities with real-world examples.
✨Tip Number 3
Don’t just focus on technical skills; show your emotional intelligence too! Caterpillar values team-oriented individuals, so be prepared to discuss how you collaborate with others and handle challenges in a team setting.
✨Tip Number 4
Apply through our website for the best chance of getting noticed! Tailor your application to highlight your relevant experience and skills that align with the job description. We want to see how you can contribute to building a better world!
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 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 directly through our website. It’s the best way to ensure your application reaches us. Plus, you’ll find all the details about the role and our company culture there, which can help you tailor your application even further!
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. Caterpillar is looking for someone who can translate complex data into actionable insights, so be prepared to showcase your analytical thinking.
✨Showcase Your Problem-Solving Skills
During the interview, highlight specific examples where you've tackled complex problems using data analysis. Caterpillar values individuals who can define issues and determine their significance, so share stories that demonstrate your ability to approach challenges methodically and creatively.
✨Emphasise Collaboration
Since this role involves working closely with cross-functional teams, be sure to talk about your teamwork experiences. Discuss how you've collaborated with others to collect and analyse data, and how you’ve communicated technical concepts to both technical and non-technical stakeholders. This will show that you’re not just a lone wolf but a team player.
✨Prepare Questions About Their Mission
Caterpillar is all about building a sustainable world through innovative solutions. Prepare thoughtful questions about their electrification strategies and how your role as a Data Scientist can contribute to their mission. This shows your genuine interest in the company and its goals, making you stand out as a candidate.
