At a Glance
- Tasks: Analyse and improve processes using Power BI, AI, and ML techniques.
- Company: Join SLB, a leader in technology and innovation.
- Benefits: Gain hands-on experience, mentorship, and networking opportunities.
- Other info: Dynamic work environment with potential for future career growth.
- Why this job: Make a real impact by optimising performance and enhancing data accessibility.
- Qualifications: Interest in data analysis and process improvement; familiarity with Power BI is a plus.
The predicted salary is between 20000 - 30000 £ per year.
SLB is seeking a Business Process Improvement Intern in Supply Chain at the Stonehouse Technology Centre.
You will break down existing processes to make data more accessible, enabling teams to evaluate and optimize performance.
Define goals, validate requirements, identify inefficiencies, propose improvements, and assess risks throughout the lifecycle.
You will develop visual reports and KPI dashboards with Power BI, and explore Process Automation, AI, and ML techniques to provide technical
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Power BI & AI Intern — Process Improvement in Stonehouse employer: SLB
SLB is an excellent employer that offers a dynamic and supportive work culture, perfect for interns looking to gain hands-on experience in a multinational environment. With a focus on employee growth, you will have access to training opportunities and the chance to collaborate with diverse teams, all while enjoying the vibrant atmosphere of our global offices. Join us to kickstart your career in workforce operations and make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Power BI & AI Intern — Process Improvement in Stonehouse
✨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 SLB!
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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 SLB.
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When you find a suitable opening like Power BI & AI Intern — Process Improvement at SLB, 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 Power BI & AI Intern — Process Improvement in Stonehouse
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 SLB, 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 SLB. 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 SLB
✨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 SLB!
✨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.
