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- 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 expertise.
- Qualifications: Strong data science background with 15+ years of experience in Python and SQL.
- Other info: Exciting opportunity to work on diverse projects across various sectors.
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 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
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field and let them know you're on the hunt for a Senior Data Scientist role. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those that demonstrate your ability to solve complex problems. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and SQL skills. Be ready to discuss your past experiences and how you've applied these skills in real-world scenarios. Practice common data science interview questions to boost your confidence.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of exciting opportunities waiting for talented data scientists like you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior Data Scientist - High-Impact ML for Global Clients
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 15+ years of experience in data science. We want to see how you've tackled complex problems and the impact your work has had across different sectors.
Python and SQL are Key: Since this role requires excellent skills in Python and SQL, don’t forget to mention specific projects or achievements where you’ve used these languages. We love seeing practical examples!
Tailor Your Application: Take a moment to tailor your application to the job description. We appreciate when candidates align their skills and experiences with what we’re looking for. It shows us you’re genuinely interested!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
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.
✨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.
