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- Tasks: Design and deploy advanced analytical solutions using machine learning and data engineering skills.
- Company: Global strategic consulting firm with a focus on innovation and quality.
- Benefits: Competitive salary, mentorship opportunities, and collaborative work environment.
- Why this job: Make an impact by driving data-driven decisions in a dynamic team.
- Qualifications: Strong Python programming skills and experience with large-scale datasets.
- Other info: Opportunity for career growth and to mentor fellow team members.
The predicted salary is between 48000 - 72000 £ per year.
A global strategic consulting company in the UK is seeking a skilled Data Scientist with data engineering capabilities to design and deploy advanced analytical solutions. The ideal candidate should have significant Python programming experience, expertise in machine learning, and the ability to work with large-scale datasets.
This role offers opportunities to mentor team members and collaborate with cross-functional teams to drive data-driven decision-making. A commitment to quality and innovation is essential.
Senior Data Scientist & Data Engineer (ML/Pipelines) employer: RICARDO ENERGY & ENVIRONMENT
Contact Detail:
RICARDO ENERGY & ENVIRONMENT Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist & Data Engineer (ML/Pipelines)
✨Tip Number 1
Network like a pro! Reach out to professionals in the data science and engineering fields on LinkedIn. Join relevant groups, participate in discussions, and don’t hesitate to ask for informational interviews. You never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving machine learning and data pipelines. Use platforms like GitHub to share your code and document your thought process. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Practice coding challenges and be ready to discuss your past projects in detail. We recommend using mock interviews to get comfortable with the format and to receive feedback.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills. Tailor your application to highlight your experience with large-scale datasets and your commitment to quality and innovation. Let’s get you that job!
We think you need these skills to ace Senior Data Scientist & Data Engineer (ML/Pipelines)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python programming experience and any machine learning projects you've worked on. We want to see how you can design and deploy advanced analytical solutions, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention your experience with large-scale datasets and how you've collaborated with cross-functional teams. This will show us that you're the perfect fit for our team.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your experience and skills. Remember, quality is key!
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 the role. Plus, it’s super easy!
How to prepare for a job interview at RICARDO ENERGY & ENVIRONMENT
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with libraries like Pandas, NumPy, and Scikit-learn, as well as any projects where you've implemented machine learning algorithms.
✨Showcase Your Data Engineering Skills
Prepare to talk about your experience with data pipelines and large-scale datasets. Think of specific examples where you've designed or optimised data workflows, and be ready to explain the impact of your work on decision-making processes.
✨Emphasise Collaboration and Mentorship
Since this role involves mentoring and working with cross-functional teams, come prepared with examples of how you've successfully collaborated in the past. Highlight any experiences where you've guided others or contributed to team projects.
✨Commitment to Quality and Innovation
Be ready to discuss how you ensure quality in your work and your approach to innovation. Share any instances where you've introduced new techniques or tools that improved outcomes, demonstrating your commitment to excellence.
