Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and deploy machine learning models for complex global challenges.
- Company: Top-tier global consulting and analytics firm in Greater London.
- Benefits: Up to £175,000 salary, performance bonuses, and rapid career progression.
- Why this job: Join a leading analytics group and make a significant impact with your skills.
- Qualifications: Strong data science background with expertise in Python and SQL; 15 years experience required.
- Other info: Exciting opportunity for seasoned professionals looking to advance their careers.
The predicted salary is between 105000 - 175000 £ per year.
A top-tier global consulting and analytics firm in Greater London is hiring Data Scientists. The role involves building and deploying machine learning models for complex problems across various sectors.
Candidates should possess a strong background in data science, excellent skills in Python and SQL, and at least 15 years of relevant experience.
The position offers a salary of up to £175,000 plus significant performance bonuses and fast career progression within a recognized analytics group.
Senior Data Scientist - High-Impact ML for Global Clients in London employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - High-Impact ML for Global Clients in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, especially those who work at top-tier firms. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects and data analyses. This is your chance to demonstrate your Python and SQL prowess, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practising with friends or using mock interview platforms can help us nail those tricky scenarios.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Scientist - High-Impact ML for Global Clients in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and SQL in your application. We want to see how you've used these skills in real-world scenarios, especially in building and deploying machine learning models.
Tailor Your CV: Don’t just send the same CV for every job. Customise yours to reflect the specific requirements of the Senior Data Scientist role. We love seeing how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit. Share your passion for data science and any standout projects you've worked on that relate to high-impact ML solutions.
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 Oliver Bernard
✨Know Your Data Science Fundamentals
Make sure you brush up on your data science fundamentals, especially around machine learning concepts. Be prepared to discuss your previous projects in detail, focusing on the methodologies you used and the impact they had on the business.
✨Showcase Your Python and SQL Skills
Since the role requires excellent skills in Python and SQL, be ready to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common algorithms and SQL queries beforehand.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills. Think of complex problems you've tackled in the past and how you approached them. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Research the Company and Its Clients
Familiarise yourself with the company’s portfolio and the sectors they operate in. Understanding their clients' challenges will help you tailor your responses and show that you're genuinely interested in contributing to their success.
