Data Scientist

Full Job Description

Our client is an award-winning technology company that powers the youth digital ecosystem, helping brands to meet their audience where they are.

They bring together proprietary advertising and gaming products, audience insights, and compliance capabilities to help build a safer internet for the next generation.

Their 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 they specialise in reaching under-18 audiences, they have to be as curious, fast-paced, and creative. You’ll be encouraged to own your impact, make your team more awesome.

At their core is a community where every voice is valued and diversity is celebrated. They prioritise individuality and foster an inclusive workplace where everyone feels they truly belong.

What you'll do:

Our client is looking for a Data Scientist to come and help them deliver original solutions to new problems by understanding the content youth audiences are engaging with and the brands that are reaching out to them. They combine this with knowledge from their 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.

In this role, you will:

• 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

Who you are:

Required

• 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

Nice to haves

• 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

Our benefits:

• 25 days holiday + 8 public holidays + Winter Break
• Enhanced Company Maternity Pay up to 100% of salary for the first 26 weeks. Enhanced Company Paternity Pay of 100% of salary for 6 weeks.
• 30 day sabbatical for employees who have reached 7 years tenure
• AXA Private Medical Insurance MHD (medical history disregarded - existing illnesses covered). Also includes an EAP
• Health Cash Plan to include PMI excess cover along with other benefits like physio, dental, vision etc.
• Life Assurance - 4x salary
• Income Protection - 8 week deferred period and 75% of your salary up to two years.
• Pension through Aegon with 4% employer contribution.
• Cycle to Work & Tech Scheme