Company: SuperAwesome
Location: London
Posted: April 30th, 2026
SuperAwesome is an award-winning technology company that powers the youth digital ecosystem, helping brands to meet their audience where they are.
We bring together proprietary advertising and gaming products, audience insights, and compliance capabilities to help build a safer internet for the next generation.
Our technology is trusted by hundreds of brands and creators and enables more effective digital engagement with almost half a billion young people worldwide every month.
As we specialise in reaching under‑18 audiences, we have to be as curious, fast‑paced, and creative as kids and teens. At SuperAwesome, you’ll be encouraged to own your impact, make your team more awesome, and evolve like a kid as you grow into your role.
At our core is the #SAFam, a community where every voice is valued and diversity is celebrated. We prioritise individuality and foster an inclusive workplace where everyone feels they truly belong.
SuperAwesome helps brands connect with youth audiences with compliant, privacy preserving and age‑appropriate digital campaigns.
We are looking for a Data Scientist to come and help us deliver original solutions to new problems by understanding the content youth audiences are engaging with and the brands that are reaching out to them. We combine this with knowledge from our behavioural insights team to predict and plan campaigns with impact.
Through ensuring best practice, privacy and moderated safe content we help fund and power a better internet for the next generation.
If you like collaborating on difficult problems with noisy, non‑linear data and you tick some of the boxes below, we would love to hear from you about what you are great at and what you are passionate about.
Work with the product team, end users and engineers to identify and understand the problems we need to solve
Work with other experts to identify feasible solutions to those problems that meet business needs
Develop production ready models in areas such as
Optimising programmatic auction bids
Understanding the content where adverts are being served
Moderating content to ensure it is safe for kids and teens
Categorising content so we analyse it quantitatively and infer our audiences
Predicting what categories will improve advertising performance or brand lift
Identifying audience clusters from survey and performance data
Test and validate the models and monitor and maintain them once live
Experienced with Python
SQL — and query optimisation
Data manipulation eg Pandas, Numpy
Quantitative degree or equivalent experience
Standard ML algorithms eg Scikit‑learn
Statistics
Curiosity
Strong pure mathematics
Bayesian modeling
Causal inference
Post graduate degree
Interests in behaviour, psychology or advertising
Experience in adtech, martech, marketing or advertising
Experience with survey data or brand lift studies
Experience building models for internal or business facing products
Able to communicate what you are doing to a wide audience
Full ML model lifecycle experience
Programmatic use of LLMs
LLM fine tuning
Working with big data tools eg pySpark or similar
Github or similar version control
Jira or similar workflow management
Using Cloud platform ideally AWS
Clean modular code with tests
APIs eg FastAPI
MLOps experience