At a Glance
- Tasks: Analyse data and develop AI/ML solutions for diverse projects.
- Company: Global consultancy with a strong focus on data science innovation.
- Benefits: Competitive salary up to £175k, bonuses, and hybrid working.
- Why this job: Join a dynamic team and make an impact in the data science field.
- Qualifications: Strong STEM background and client-facing experience preferred.
- Other info: Exciting opportunities for career growth in a collaborative environment.
The predicted salary is between 60000 - 175000 £ per year.
Overview
OB have partnered with a Global Consultancy, with a large headcount for Data Scientist and a range of projects available and therefore are looking to scale their Data Science offering with candidates from Mid to Staff/Principal Level.
Core Tech Stack - SQL, Python, AWS, AI/ML
Salary + Package - £60k-£175k depending on skills and experience + bonus (ranges between 20% to as high as 100%)
Qualifications & Requirements
- Strong STEM educational background
- Strong client facing skills, and experience dealing with a variety of stakeholders up to C-Level
- Prior background in consulting highly preferred
- UK based; visa sponsorship is unavailable
- Hybrid working – 3 days a week required in Central London offices
Note - The description references roles across all levels (Mid to Staff/Principal) and does not list explicit day-to-day responsibilities in this excerpt.
Data Scientist - All Levels - Up to £175k + Bonus employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - All Levels - Up to £175k + Bonus
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving SQL, Python, and AI/ML. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and practising common data science interview questions. Don’t forget to highlight your client-facing experience and how you've dealt with stakeholders in past roles.
✨Tip Number 4
Apply through our website! We’ve got a range of Data Scientist roles available, and applying directly can sometimes put you ahead of the competition. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Data Scientist - All Levels - Up to £175k + Bonus
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with SQL, Python, and AWS, and don’t forget to showcase any AI/ML projects you've worked on. We want to see how your skills match what we're looking for!
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 your background makes you a great fit for our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects: If you've got any relevant projects or case studies, make sure to include them in your application. Whether it's a personal project or something from your previous job, we want to see how you apply your skills in real-world scenarios.
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 – just follow the prompts and you’ll be all set!
How to prepare for a job interview at Oliver Bernard
✨Know Your Tech Stack
Make sure you’re well-versed in SQL, Python, AWS, and AI/ML. Brush up on your technical skills and be ready to discuss how you've used these technologies in past projects. This will show that you’re not just familiar with the tools but can also apply them effectively.
✨Showcase Your Client-Facing Skills
Since the role involves dealing with various stakeholders, prepare examples of how you've successfully communicated complex data insights to non-technical audiences. Highlight any experience you have in consulting, as this will set you apart from other candidates.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Think of scenarios where you had to analyse data, make decisions, or present findings. Practising these types of questions will help you articulate your thought process clearly during the interview.
✨Understand the Company Culture
Research the consultancy’s values and work culture. Be ready to discuss how your personal values align with theirs. This shows that you’re not only a fit for the role but also for the company, which is crucial for long-term success.