Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Model and analyse clickstream data to uncover user behaviour insights.
- Company: Join Gener8, a leading disruptor in the open data movement.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make an impact on data legislation while working with cutting-edge technology.
- Qualifications: Experience in data modelling, Python or R, and SQL skills required.
- Other info: Be part of a fast-growing team with exciting projects and career advancement.
The predicted salary is between 28800 - 48000 £ per year.
We are looking for an experienced Data Scientist to help us on an exciting new project based on our proprietary clickstream data. We collect tens of millions of events per month, from tens of thousands of users across the world.
Since its launch in 2018, Gener8 has been at the forefront of the "open data" movement: the belief that people should be able to control and be rewarded from their own data. Gener8's consumer products include a web browser, browser extension, iOS and Android apps. Our products enable people to transparently and willingly share their data with Gener8, whilst preserving their privacy, so that we can create value from it for them.
We are growing fast, with tens of thousands of new app downloads every month. Every month our desktop browser racks up the equivalent of 250 years in time spent browsing on it. As you can imagine, we have huge amounts of proprietary data which we can create value from.
The first part of the project will involve modelling our raw clickstream data to make it nationally representative of the UK and US, where we already have relevant national census data. The second part will be analysing this dataset for behavioural changes amongst several cohorts of users, to measure how it has changed over time (~1 year) and understand this in greater detail. There is also the opportunity to include our other datasets in this analysis, such as in-app usage.
As well as executing the modelling and analysis, we will be looking to learn from you what the best approach is and what questions to ask, as we discover more through the project. The final output will firstly be a presentation given to senior business stakeholders, technical experts, and other data scientists, as well as an accompanying written report.
Relevant skills & experience:
- Nat Rep modelling
- Analysing large clickstream (pageview) datasets
- Python and/or R
- SQL
Technical details:
- Primary dataset: ~200GB, ~360m rows, ~30 columns
- Dialect: BigQuery - we can provide experienced in-house technical support with complex queries
Data Scientist in London employer: Gener8
Contact Detail:
Gener8 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Gener8 on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing a role as a Data Scientist. Personal connections can make all the difference!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since you'll be working with large datasets, practice your Python or R skills and get comfortable with SQL queries. We want to see you shine when discussing your approach to data modelling!
✨Tip Number 3
Show us your passion for data! Be ready to discuss your previous projects and how you've tackled similar challenges. We love candidates who can demonstrate their problem-solving skills and creativity in using data to drive insights.
✨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, it shows us you're genuinely interested in being part of the Gener8 team!
We think you need these skills to ace Data Scientist in London
Some tips for your application 🫡
Show Your Data Passion: When you're writing your application, let us see your enthusiasm for data! Share any relevant projects or experiences that highlight your skills in data science, especially with clickstream data. We love seeing candidates who are genuinely excited about the work they do.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Data Scientist role. Highlight your experience with Nat Rep modelling and analysing large datasets. We want to see how your background aligns with our needs, so don’t be shy about showcasing your relevant skills!
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language and avoid jargon unless it’s necessary. We appreciate a well-structured application that makes it easy for us to see your qualifications and fit for the role.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re serious about joining our team at Gener8!
How to prepare for a job interview at Gener8
✨Know Your Data Inside Out
Make sure you’re familiar with clickstream data and how it can be modelled. Brush up on your experience with large datasets, especially in Python or R, as well as SQL. Being able to discuss specific examples of your past work with similar data will show that you’re the right fit for the role.
✨Prepare for Technical Questions
Expect to face technical questions related to data modelling and analysis. We recommend practising common data science problems and being ready to explain your thought process. This will demonstrate your analytical skills and ability to tackle complex challenges.
✨Showcase Your Communication Skills
Since the role involves presenting findings to stakeholders, practice explaining complex data insights in a clear and concise manner. We suggest preparing a mock presentation based on a previous project to highlight your ability to communicate effectively with both technical and non-technical audiences.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data strategy and the specifics of the project. This shows your genuine interest in the role and helps you understand how you can contribute to their goals. We believe that asking the right questions can set you apart from other candidates.
