At a Glance
- Tasks: Design and deploy machine learning models to tackle complex business challenges.
- Company: Leading technology consulting firm with a focus on innovation.
- Benefits: Competitive salary, international travel opportunities, and professional growth.
- Why this job: Join a dynamic team and make a real impact through data-driven insights.
- Qualifications: 5–8 years of data science experience and strong analytical skills.
- Other info: Exciting role with opportunities for international collaboration.
The predicted salary is between 48000 - 72000 £ per year.
A leading technology consulting firm is seeking a Data Scientist to design and deploy machine learning models that solve complex business problems. The role involves collaboration with engineering and business teams to create actionable data insights.
Candidates should have 5–8 years of experience in data science, strong analytical skills, and proficiency in Python (or R). This full-time position is based in Saudi Arabia with regular international travel.
Senior Data Scientist: Production ML & Analytics in London employer: PE Global Energy & Technology
Contact Detail:
PE Global Energy & Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist: Production ML & Analytics in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work in data science. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects and analytics work. This is your chance to demonstrate your expertise in Python or R and how you’ve solved real-world problems.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as collaboration with engineering and business teams will be key in this role.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior Data Scientist: Production ML & Analytics in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science, especially with machine learning models. We want to see how your skills align with the role, so don’t be shy about showcasing your Python or R expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how you can contribute to our team. Let us know about your collaborative experiences with engineering and business teams.
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! We love seeing real-world applications of your skills, especially those that led to actionable insights. Include links if possible!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at PE Global Energy & Technology
✨Know Your ML Models Inside Out
Make sure you can discuss various machine learning models and their applications in detail. Be prepared to explain how you've designed and deployed models in past projects, focusing on the impact they had on solving business problems.
✨Showcase Your Collaboration Skills
Since this role involves working with engineering and business teams, be ready to share examples of successful collaborations. Highlight how you’ve communicated complex data insights to non-technical stakeholders and how that influenced decision-making.
✨Brush Up on Python (or R)
Proficiency in Python or R is crucial for this position. Before the interview, review your coding skills and be prepared to solve a problem or discuss your coding process. Consider bringing a portfolio of your work to demonstrate your expertise.
✨Prepare for International Travel Questions
As this role includes regular international travel, think about your flexibility and experience with travel. Be ready to discuss how you manage work-life balance while travelling and any previous experiences that highlight your adaptability in different environments.