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- Tasks: Collaborate with experts to optimise energy production and tackle greenhouse gas emissions.
- Company: Leading global engineering firm based in Lincoln.
- Benefits: Competitive salary, holiday pay, and professional development opportunities.
- Why this job: Make a real difference in energy analytics while gaining hands-on experience.
- Qualifications: Studying or graduated in data or computer science with strong analytical and programming skills.
- Other info: Join a dynamic team focused on sustainability and innovation.
The predicted salary is between 1985 - 1985 £ per month.
A leading global engineering company in Lincoln is seeking an intern for a data science role. You will work closely with data scientists and engineers on projects focused on optimizing energy production and reducing greenhouse gas emissions.
The ideal candidate should be studying or have graduated with a data or computer science degree and possess strong analytical skills along with proficiency in programming, especially C++.
Competitive salary of £24,454 along with holiday and development opportunities are offered.
Data Science & CS Intern - ML & Energy Analytics in Lincoln employer: Siemens Energy
Contact Detail:
Siemens Energy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science & CS Intern - ML & Energy Analytics in Lincoln
✨Tip Number 1
Network like a pro! Reach out to current or former employees of the company on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your C++ skills and understanding energy analytics. We should be ready to discuss how our analytical skills can help optimise energy production.
✨Tip Number 3
Showcase our passion for sustainability! Be ready to share ideas on how data science can contribute to reducing greenhouse gas emissions. This will definitely impress the interviewers.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our application to highlight our relevant skills and experiences directly.
We think you need these skills to ace Data Science & CS Intern - ML & Energy Analytics in Lincoln
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your data science and programming skills, especially in C++. We want to see how your experience aligns with our focus on energy analytics and greenhouse gas reduction.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data science and how it relates to energy production. Let us know why you’re excited about this internship and what you can bring to the team.
Showcase Relevant Projects: If you've worked on any projects related to data analysis or machine learning, make sure to mention them. We love seeing practical applications of your skills, so don’t hold back!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity with us at StudySmarter.
How to prepare for a job interview at Siemens Energy
✨Know Your Stuff
Make sure you brush up on your data science and programming skills, especially in C++. Familiarise yourself with key concepts in machine learning and energy analytics. Being able to discuss relevant projects or coursework will show your passion and knowledge.
✨Showcase Your Analytical Skills
Prepare to demonstrate your analytical thinking during the interview. You might be asked to solve a problem on the spot, so practice explaining your thought process clearly. Use examples from your studies or previous experiences to illustrate how you've tackled complex data challenges.
✨Understand the Company’s Mission
Research the company’s initiatives in optimising energy production and reducing greenhouse gas emissions. Showing that you understand their goals and values will help you stand out as a candidate who is genuinely interested in contributing to their mission.
✨Ask Thoughtful Questions
Prepare some insightful questions to ask at the end of your interview. This could be about the team dynamics, specific projects you might work on, or the tools they use. It shows that you’re engaged and eager to learn more about the role and the company.