At a Glance
- Tasks: Analyse large data sets and turn insights into actionable strategies for clients.
- Company: Fast-growing London tech company focused on data innovation.
- Benefits: Competitive salary up to £100k, equity package, and hybrid working.
- Why this job: Join a dynamic team and make a real impact with your data expertise.
- Qualifications: 3+ years in Data Science with strong visualisation skills.
- Other info: Exciting opportunity for career growth in a collaborative environment.
The predicted salary is between 72000 - 108000 £ per year.
OB have partnered with a London based Tech company, undergoing a huge growth across their Data function, and are looking to add a highly skilled Data Scientist to their team. In this role, you will analyse large scale Data sets, turning them into actionable insights for their clients and existing customers, design bespoke production ready models, and visualise real-time insights.
Key skills and experience:
- 3+ years of commercial experience within Data Science
- Demonstrated experience of being able to visualise and explain Data trends
- You must also have worked at a company, with a focus on market research, marketing, data products or consumer audience measurement
Salary: Pays up to £100k + equity package on top
Working conditions: Hybrid working - 2-days a week required in Central London offices
Interview process: 2-stage interview process and ASAP start required
To be considered, you must be UK based and have full rights to work.
Senior Data Scientist employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Network like a pro! Reach out to connections in the tech and data science space. Attend meetups or webinars, and don’t be shy about asking for introductions. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Prepare for those interviews! Brush up on your data visualisation skills and be ready to discuss how you've turned data into actionable insights. Practise explaining complex data trends in simple terms – it’ll impress the interviewers!
✨Tip Number 3
Showcase your work! Create a portfolio of your projects, especially those that highlight your experience with market research and consumer audience measurement. This will give you an edge and demonstrate your hands-on skills.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities, and applying directly can sometimes put you ahead of the competition. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your 3+ years of experience and any specific projects where you've turned large data sets into actionable insights. 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 explain complex data in a clear and engaging way. Use visuals if you can – it’ll make your application stand out to us!
Highlight Relevant Experience: If you've worked in market research, marketing, or consumer audience measurement, make sure to emphasise that experience. We’re keen to see how your background fits with our focus areas, so don’t hold back!
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 all the updates directly from us. Plus, it shows you're serious about joining our team!
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 turned raw data into actionable insights. This will show your potential employer that you can handle large-scale data and understand its implications.
✨Visualisation is Key
Since the role requires visualising data trends, prepare examples of your previous work. Bring along visuals or dashboards you've created, and be ready to explain how they helped stakeholders make informed decisions. This will demonstrate your ability to communicate complex data effectively.
✨Understand the Company’s Market
Research the tech company’s focus areas, especially in market research and consumer audience measurement. Tailor your answers to show how your experience aligns with their needs. This will help you stand out as a candidate who understands their business landscape.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills. Think of situations where you had to design production-ready models or tackle data challenges. Practising these scenarios will help you articulate your thought process clearly during the interview.