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For Companies At a Glance
- Tasks: Lead end-to-end data science projects using ML and deep learning techniques.
- Company: Join a top online travel company revolutionising affordable holiday packages.
- Benefits: Enjoy hybrid working with 2-3 days in the vibrant London office.
- Why this job: Make an impact in a fast-paced environment while solving exciting challenges.
- Qualifications: Experience in ML, SQL, and deep learning; GCP knowledge is a bonus.
- Other info: Competitive salary ranging from £75k to £100k.
The predicted salary is between 75000 - 100000 £ per year.
A leading online travel company, this business specialises in affordable, flexible holiday packages by combining low-cost flights with a wide range of hotel options. They operate primarily as a digital platform, allowing customers to tailor their trips easily, with a strong focus on convenience, competitive pricing, and customer self-service.
What Makes a Great Candidate
- Experience in ML fundamentals.
- Knowledge deploying ML models at production scale.
- Good understanding of SQL.
- Experience with Deep Learning.
- Happy leading end-to-end projects.
- Knowledge of GCP is nice-to-have.
If you are a passionate data scientist, who enjoys solving challenging problems in a fast-paced environment then this could be a great fit. Join the team to make a difference today.
Senior Data Scientist - London - Hybrid Working employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - London - Hybrid Working
✨Tip Number 1
Familiarise yourself with the latest trends in machine learning and deep learning. Being able to discuss recent advancements or projects you've worked on can really set you apart during interviews.
✨Tip Number 2
Showcase your experience with SQL by preparing examples of how you've used it in past projects. Be ready to explain your thought process and the impact your work had on the overall project.
✨Tip Number 3
If you have experience with GCP, make sure to highlight specific projects where you've deployed ML models. If not, consider brushing up on GCP basics to demonstrate your willingness to learn.
✨Tip Number 4
Prepare to discuss your leadership experiences in data science projects. Think about how you can illustrate your ability to lead end-to-end projects and collaborate effectively with teams.
We think you need these skills to ace Senior Data Scientist - London - Hybrid Working
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning, SQL, and any relevant projects you've led. Use specific examples that demonstrate your skills in deploying ML models and working with deep learning frameworks like PyTorch and TensorFlow.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and problem-solving. Mention how your background aligns with the company's focus on affordable holiday packages and customer convenience. Be sure to include your knowledge of GCP if applicable.
Showcase Relevant Projects: If you have worked on any end-to-end projects involving machine learning, be sure to detail these in your application. Highlight your role, the technologies used, and the impact of the project to demonstrate your capability.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects your attention to detail, which is crucial in a data-driven role.
How to prepare for a job interview at Oliver Bernard
✨Showcase Your ML Knowledge
Be prepared to discuss your understanding of machine learning fundamentals. Highlight any specific projects where you've successfully implemented ML models, especially in production environments.
✨Demonstrate SQL Proficiency
Since a good understanding of SQL is essential for this role, brush up on your SQL skills. Be ready to answer questions about database management and how you’ve used SQL in past projects.
✨Discuss Deep Learning Experience
If you have experience with deep learning frameworks like PyTorch or TensorFlow, make sure to mention it. Prepare examples of how you've applied these technologies to solve complex problems.
✨Prepare for Project Leadership Questions
As the role involves leading end-to-end projects, think of instances where you've taken charge. Be ready to discuss your leadership style and how you manage project timelines and team dynamics.
