At a Glance
- Tasks: Analyse large datasets and design custom models for actionable insights.
- Company: Dynamic tech company based in London with a focus on innovation.
- Benefits: Salary up to £100k, equity, and hybrid working model.
- Why this job: Join a leading tech firm and make an impact with your data expertise.
- Qualifications: Over 3 years of experience in data science and strong data visualisation skills.
- 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 seeks a skilled Data Scientist to analyze large datasets for actionable insights and design custom models. Ideal candidates should have over 3 years of experience in data science and strong skills in visualizing data trends.
The role offers a salary of up to £100k plus equity, alongside a hybrid working model with 2 days in Central London offices. Applicants must be UK based with full rights to work.
Senior Data Scientist - Hybrid London | Equity employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Hybrid London | 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 application noticed.
✨Tip Number 2
Prepare for the interview by brushing up on your data visualisation skills. We want to showcase how you can turn complex datasets into clear, actionable insights that impress.
✨Tip Number 3
Practice common data science interview questions. We can’t stress enough how important it is to articulate your thought process when tackling problems. It’s all about showing your analytical mindset!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Senior Data Scientist - Hybrid London | Equity
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science, especially any projects where you've analysed large datasets or designed custom models. We want to see how your skills align with what we're looking for!
Showcase Your Visualisation Skills: Since visualising data trends is key for this role, include examples of your work that demonstrate your ability to present complex data in an understandable way. This will help us see your creative side!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data science and how you can contribute to our team. Be genuine and let your personality shine through – we love to see enthusiasm!
Apply Through Our Website: For the best chance of getting noticed, make sure to apply directly through our website. It helps us keep track of applications and ensures you’re considered for the role as soon as possible!
How to prepare for a job interview at Oliver Bernard
✨Know Your Data Inside Out
Before the interview, dive deep into your past projects and be ready to discuss specific datasets you've worked with. Highlight how you extracted actionable insights and the impact of your custom models. This shows your hands-on experience and expertise.
✨Visualisation is Key
Since the role emphasises strong skills in visualising data trends, prepare a few examples of your best visualisations. Be ready to explain the tools you used and how these visuals helped stakeholders understand complex data. This will demonstrate your ability to communicate effectively.
✨Brush Up on Technical Skills
Make sure you're up to date with the latest data science tools and techniques. Review any relevant programming languages or software mentioned in the job description. Being able to discuss your proficiency in these areas will give you an edge over other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and how they envision the role of a Senior Data Scientist. This not only shows your interest in the position but also helps you gauge if the company aligns with your career goals.