At a Glance
- Tasks: Build and deploy ML models while delivering insights that drive business decisions.
- Company: Global consultancy focused on data science and AI across various industries.
- Benefits: Competitive salary, bonus, hybrid work model, and opportunities for professional growth.
- Other info: Join a dynamic team with exciting projects and excellent career advancement opportunities.
- Why this job: Make a real impact by solving complex problems with cutting-edge data science techniques.
- Qualifications: Strong Python and SQL skills, experience with AWS, and a BSc in a STEM field.
The predicted salary is between 60000 - 175000 £ per year.
OB are currently partnered with a global consultancy delivering data and AI work across multiple industries including finance and government. They focus on applying data science to real business problems, from forecasting and optimisation to production ML systems.
Role
- Work on client projects, building models and delivering insights that drive decisions.
Responsibilities
- Build and deploy ML models
- Work with clients to define problems and solutions
- Take projects from idea through to production
- Partner with engineers on cloud deployments
- Present insights to stakeholders
Requirements
- Strong Python and SQL
- Experience with AWS and ML tools
- Consultancy or client-facing experience
- Advanced academic background with a BSc in STEM/Quantitative field
Tech stack
- Python
- SQL
- AWS
Requirements / Constraints
- UK-based only
- No sponsorship
Package
- £60K–£175K + bonus
- London | Hybrid | Data Scientist
Data Scientists - All Levels - London (Hybrid) employer: Oliver Bernard
As a leading global consultancy, we pride ourselves on fostering a dynamic and inclusive work culture that empowers Data Scientists at all levels to thrive. Our London-based team enjoys the flexibility of a hybrid working model, competitive salaries, and generous bonuses, alongside ample opportunities for professional growth through diverse client projects in data science and AI. Join us to make a meaningful impact by solving real-world problems while collaborating with talented professionals in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientists - All Levels - London (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. 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 Python, SQL, and ML models. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the consultancy landscape. Be ready to discuss how you've tackled real-world problems using data science – they love seeing practical applications!
✨Tip Number 4
Don't forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications that way!
We think you need these skills to ace Data Scientists - All Levels - London (Hybrid)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role. Highlight your experience with Python, SQL, and any relevant ML tools. 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!
Showcase Your Projects:If you've worked on any cool projects, don’t forget to mention them! Whether it's building models or deploying solutions, we love seeing real examples of your work that demonstrate your skills.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get the best chance to showcase your talents!
How to prepare for a job interview at Oliver Bernard
✨Know Your Tech Stack
Make sure you’re well-versed in Python, SQL, and AWS. Brush up on your knowledge of machine learning tools as well. Be ready to discuss specific projects where you've applied these technologies, as this will show your practical experience.
✨Understand the Business Context
Since the role involves working with clients to solve real business problems, do your homework on the industries the consultancy operates in. Think about how data science can drive decisions in finance or government, and be prepared to share your insights during the interview.
✨Prepare for Client Interaction
Given the consultancy nature of the role, practice articulating complex data concepts in a way that’s easy for non-technical stakeholders to understand. Role-play potential client scenarios with a friend to build your confidence in presenting insights.
✨Showcase Your Problem-Solving Skills
Be ready to discuss how you approach problem-solving in data science. Prepare examples of how you've taken projects from idea to production, highlighting your ability to partner with engineers and deliver impactful results.
