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- Tasks: Analyse large data sets and create actionable insights for clients.
- Company: Dynamic London-based tech company with a focus on innovation.
- Benefits: Up to £100k salary, equity package, and hybrid working model.
- Why this job: Join a cutting-edge team and make a real impact with your data skills.
- Qualifications: 3+ years in Data Science with experience in market research or data products.
- Other info: Work in a vibrant environment with opportunities for growth.
The predicted salary is between 60000 - 84000 £ per year.
A London based Tech company is seeking a highly skilled Data Scientist to join their team. The successful candidate will analyze large scale data sets to extract actionable insights, design bespoke models, and visualize real-time data for clients.
Applicants should have over 3 years of commercial experience in Data Science and a background in market research, marketing, or data products.
This role offers a salary of up to £100k plus an equity package, with a hybrid working model requiring 2 days per week in the Central London office.
Senior Data Scientist — Real-Time Insights + Equity employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist — Real-Time Insights + Equity
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best data projects. We want to see how you’ve tackled real-world problems and the impact of your work.
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on your data science concepts and coding skills. We recommend mock interviews to build confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Senior Data Scientist — Real-Time Insights + Equity
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Data Science, especially any work with large scale data sets and real-time insights. We want to see how your skills align with what we’re looking for!
Showcase Your Projects: Include specific examples of projects you've worked on that relate to market research or data products. We love seeing how you’ve applied your skills in real-world scenarios!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about Data Science and how you can contribute to our team. Keep it engaging and relevant to the role.
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 us!
How to prepare for a job interview at Oliver Bernard
✨Know Your Data Inside Out
Make sure you’re well-versed in the data sets you’ve worked with. Be ready to discuss specific projects where you extracted actionable insights and how your analysis impacted decision-making. This shows you can apply your skills in real-world scenarios.
✨Showcase Your Modelling Skills
Prepare to talk about the bespoke models you've designed. Bring examples of how these models were tailored to meet specific client needs, and be ready to explain your thought process. This will demonstrate your technical expertise and creativity.
✨Visualisation is Key
Since the role involves visualising real-time data, have a few examples of your work ready to share. Discuss the tools you used and how you made complex data easily understandable for clients. This will highlight your ability to communicate insights effectively.
✨Understand the Company’s Market
Research the company’s position in the tech landscape, especially regarding market research and data products. Being able to discuss their competitors and industry trends will show that you’re not just a data whiz but also a strategic thinker who understands the bigger picture.
