Graduate Data Scientist
Graduate Data Scientist
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Job Description
35000
Location: London (office-based 4 days per week)
Build Something That Matters
native has been building for 10 years but were still very much a startup: fast-moving ambitious and building with intent. Were creating the infrastructure that connects students Students Unions universities and advertisers through a managed marketplace.
Our goal is to increase student engagement while enabling Students Unions to secure sustainable funding. For advertisers we offer meaningful measurable routes to student audiences. The more aligned these incentives are the more defensible and scalable our business becomes.
Were looking for graduates who want to step straight into meaningful work learn quickly and grow fast.
What were looking for
We value clarity of thought good judgement under pressure and the ability to create structure where none exists.
You might be right for this if:
- You think in first principles not borrowed answers solving problems from the ground up
- You thrive in ambiguity youre comfortable making decisions when there isnt a map
- You do the work not for applause but because it matters to you that things are done well
- Youve got range youre not just smart on paper; youve done things that demanded resilience judgement or initiative
We are open to a wide range of degree backgrounds but we look for intellectual sharpness and structured thinking. That often shows up in disciplines like engineering maths philosophy languages (whether classical or modern) or history - but not always. If your academic path is less typical help us understand how your thinking has been shaped and why it stands up.
What youll be working on
Youll be directly involved in:
- Developing predictive models to identify patterns in student behaviour and engagement using real data from hundreds of thousands of students
- Refining student personas by analysing survey responses behavioural data and qualitative insights ensuring accuracy and usefulness
- Conducting advanced statistical analysis and clustering to uncover insights about student segments motivations and behaviours
- Collaborating closely with the Student Personas team to translate analytical findings into clear actionable recommendations
- Creating robust documentation and clearly communicating your methods and results ensuring reproducibility and clarity
This role is deeply analytical and technical designed to rapidly build your practical skills in data science and predictive modelling within a real high-impact environment
Required Skills
Youll be right for this role if:
- You have strong analytical skills demonstrated by excellent academic results research projects academic papers or high placements in data science competitions
- You have practical experience with statistical modelling or machine learning techniques (regression analysis clustering classification predictive modelling) through coursework internships or independent projects
- You are proficient in Python (especially pandas numpy scikit-learn or similar libraries) and comfortable performing data analysis using Jupyter notebooks or similar tools
- You are comfortable writing clear efficient SQL for extracting cleaning and preparing datasets demonstrated through coursework internships or personal analytical projects
- You have demonstrated initiative by independently exploring additional analytical and machine learning tools or frameworks such as BigQuery TensorFlow PyTorch or similar
Progression
This is an initial six-month engagement. If you perform well the expectation is that youll move into a promoted permanent role at the end of that period. We treat this as a proving ground for long-term hires not an internship.
During your interview process youll be encouraged to speak with previous graduate hires at native who joined through this route so you can hear directly how this role can set you up for rapid career progression.
Location and ways of working
Youll be based in our London office working in person at least four days a week with one optional day remote. We believe in high-bandwidth collaboration and fast decision-making so most of the work happens face-to-face.
How to apply
We dont want a cover letter. Instead answer a few questions we have which will help us understand how you think:
- A trade-off youve had to make and how you decided
- A problem you tackled without much guidance
- A system or process youd redesign and how youd go about it
- A time you had to choose what not to do and why
Also please do include a recent CV or a link to your LinkedIn profile / equivalent.
And If youre reading this and thinking I really want to do this but I probably wont get picked - apply anyway. We care far more about how you think and how you show up than whether you tick every imagined box. Dont rule yourself out.
Were hiring on a rolling basis. If this sounds like the kind of challenge youre ready for get in touch.
Equal Opportunity Statement
We are actively creating an equitable environment for everyone at native to thrive.
Diversity and inclusion are a priority for us and we are making sure we have lots of support for all of our people to grow at native. At native we embrace diversity in all of its forms and foster an inclusive environment for all people to do the best work of their lives with us.
This job has now closed
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Employment Type
Full-Time
